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
Jobs in Canada
Ai Agent Engineer in San Francisco
435 active opportunities · Updated October 2026
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15 jobs
Explore current ai agent engineer jobs in San Francisco. Filter by work mode, employment type, experience, department, date posted and distance.
From $151.2K/yr
About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Platform Core Engineering (PCE) builds the foundational systems, frameworks, and tooling that Twitch's engineers build on every day. As a Senior Product Manager on PCE, your customers are developers, and your success depends on earning their trust. You will own a platform product area and be measured on whether developers actually adopt, rely on, and advocate for what you ship. This is a deeply technical, senior individual-contributor role. You are expected to be hands-on with modern AI development tools, to understand the technology you are shaping at a real level (not just at the surface), and to hold credibility in a room full of engineers. You can be based out of one of the Twitch offices including San Francisco, Seattle, Los Angeles, Irvine, or New York City. You Will: Own the strategy and roadmap for a PCE platform area, balancing near-term developer needs with a 1 to 2 year technical vision. Treat developers as your customers: understand their workflows, earn their trust, and prioritize the capabilities that make them faster and more effective. Work directly with Senior Engineering Managers and Principal Engineers to define technical and organizational needs and build a cohesive platform ecosystem. Define and drive the platform metrics that matter. Drive alignment across dependent
From $82.7K/yr
About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Team Community Trust (CT) exists to foster an environment where streamers and their communities thrive, while proactively reducing harm and ensuring support is accessible when needed. Our organization encompasses safety policy & enforcement, fraud prevention, and customer experience. Within CT, the Business Operations & Integrations team is the operational backbone – encompassing four functions (Business Operations, Financial & Contract Management, Go-to-Market, and Safety by Design) split across two sub-teams: BizOps and Integrations. The Integrations team – which this role sits on – is the connective tissue between Community Trust and the rest of Twitch. We own the CT Readiness Program, ensuring every product, monetization, regulatory, or business development launch is operationally ready before it reaches our community (200+ launches per year). We also co-own Safety By Design, the process by which safety risks are identified and mitigated before products ship. We're building a team that can anticipate what's coming and react to what's arrived – getting CT into planning conversations earlier, simplifying how Twitch launches safely at scale, and building the systems that allow a small team to have outsized impact. About the Role This is a Program Manager II role on the Integration
From $151.2K/yr
About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role The Community team builds products that allow creators to build and grow communities on Twitch. Our products span across creator and viewer journeys. As a Senior Product Manager on the Discovery team, you will own the experience that helps viewers find creators worth coming back for, across search, browse, and serendipitous discovery in the live feed. Your work will focus on helping viewers form their first creator connection and every connection after it, because that bond is what turns an occasional visit into a daily habit. You will be the voice of the viewer for recommendations: defining what viewers want, surfacing what they are not seeing but should, owning the discovery roadmap, and partnering with our ML teams to turn those needs into better ranking and relevance. You will define and execute a product strategy grounded in customer needs, working closely with applied science, design, and engineering to ship and measure your way there. Our team is based in San Francisco, CA but you can work from San Francisco, CA; New York, NY; Irvine, CA; Los Angeles, CA or Seattle, WA. You Will: Own the discovery experience across search, browse, and the live feed, helping viewers find creators worth returning for and form their first connection and every one after it. Define what viewers want fro
From $80.4K/yr
About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Team At Twitch, Content Accounting is responsible for managing the end to end financial and reporting obligations of negotiated agreements with content providers, influencers, production companies, and music rights holders. Our goal is to close our books in accordance with U.S. GAAP & internal accounting policy and meet our contractually obligated payout and reporting requirements. We support a diverse set of business stakeholders including content acquisition, music licensing, influencer marketing, and event production. We work closely with our legal, FP&A, tax and enterprise technology counterparts to accelerate Twitch’s strategy. About the Role We are seeking a Senior Accountant eager to help us re-imagine how Content Accounting operates with the growing capabilities of AI. Your core work will have you involved at every step of the process from contract ideation through to final payout—providing support for negotiation, drafting technical accounting memos, preparing cost and payout calculations, executing month-end close activities, facilitating payment runs, and delivering reporting. A successful candidate uses GenAI tools both reflexively and responsibly to enhance the group's daily productivity. You are passionate about accounting, thrive in the details, have an understanding of
From $992.4K/yr
About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Team Community Trust (CT) exists to foster an environment where streamers and their communities thrive, while proactively reducing harm and ensuring support is accessible when needed. Our organization encompasses safety policy & enforcement, fraud prevention, and customer experience. Within Customer Trust, the Strategic Intelligence & Governance (SIG) team is the strategic and enablement backbone of the department, where we ensure the business is set up correctly, measure whether it's working, surface insights to drive decisions, and provide the tools that power CT's day-to-day operations. The Business Intelligence function owns CT's data infrastructure, dashboards, financial analysis, and operational reporting, ensuring leadership has the insights they need to make informed decisions across the organization. About the Role As the Business Intelligence Program Manager, you will join a small, high-impact team responsible for CT's data infrastructure, operational reporting, analytical insights, and dashboards. You will translate operational data into clear insights that help leadership and partners make informed decisions across Trust & Safety (T&S) and Customer Experience (CX). You will also be responsible for CT’s financial operations, including operational expenses, work
From $82.7K/yr
About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role The Twitch legal team is looking for an experienced person for the role of Contracts Manager. You will provide support for commercial and IP agreements, content partnerships, Twitch esports productions, and various marketing activations. This role is an excellent opportunity to join Twitch’s close-knit legal team, build relationships with counterparts at Amazon legal, and have fun tackling the complex issues of our user community. You can work from San Francisco, CA; Los Angeles, CA or Seattle, WA. You Will: Draft and negotiate agreements for software, SAAS, advertising, production, talent, content, marketing and other commercial transactions. Counsel our teams on many legal and business issues, including rights and clearances. Coordinate with diverse partners, including esports, procurement, business development, partnerships, marketing, sales, and finance. Collaborate with legal team members to improve processes and ensure business demands are satisfied. You Have: Bachelor's Degree or equivalent; 3+ years of experience navigating commercial transactions, preferably in the digital space Experience drafting and closing commercial agreements and improving contracting processes. Ability to work independently while also contributing successfully to cross-functional teams. S
$84K – $120K/yr
We believe communication belongs to everyone. We exist to democratize phone service. TextNow is evolving the way the world connects, and that's because we're made up of people with curious minds who bring an optimistic yet critical lens into the work we do. We're the largest provider of free phone service in the nation. And we're just getting started. Join us in our mission to break down barriers to communication and free the flow of conversation for people everywhere. TextNow is looking for an experienced Data Developer with hands-on experience designing and developing data platforms. You will own the design, development, and maintenance of TextNow's data platform, enabling us to make effective data-informed decisions. You will be part of cross-functional efforts to build scalable and reliable frameworks that support allTextNow's business and data products. In this role, you can interact with different functional areas within the business and influence decision-making in a fast-growing mobile communications start-up. This role is about impact at scale. You’ll shape how TextNow builds and operates its systems in an AI-first environment where intelligent tooling is embedded into everyday engineering practice. Using AI is not optional, it’s expected. From design and architecture to implementation, testing, debugging, documentation, and operational analysis, you will actively leverage AI tools to increase velocity, improve code quality, and make better technical decisions. We provide a robust suite of AI-powered development tools and workflows to support you, and we expect you to continuously evolve how you use them to raise the bar for efficiency, clarity, and product excellence across the organization. What You'll Do Own TextNow's data warehouse, data pipelines, and integration points between various business systems. Design, develo
About the Team DoorDash is building the world’s most reliable on-demand logistics engine for delivery! We’re looking for machine learning engineer interns to join our fast-growing engineering team to help us develop a 24x7 global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role As a Machine Learning Engineer intern at Doordash, you’ll work on tackling new challenges in machine learning and artificial intelligence. You’ll conduct research that can be applied across Doordash engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: Auction, Game theory, Recommender systems, Ranking, AdTech, Computer Vision, Causal Inference, and Big data analytics. We offer a 12-week summer internship program in our San Francisco, Sunnyvale, New York, or Seattle offices. You’re excited about this opportunity because you will… Use cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, Graph analysis to solve real-world problems across discovery, ads,forecasting, fulfillment and search experiences at Doordash. Contribute and execute on research ideas that can be applied and used to improve product experience at Doordash. Collect, analyze, and synthesize findings from data and use these insights to build relevant ML models. Write clean, efficient, and sustainable code We’re excited about you because you… Are working towards a Masters degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field and are graduating between Fall 2027 & Summer 2028 Have a mastery of at least one systems languages (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow) Have experience in research and in solving analytical problems Are a strong communicator and team player. Have a passion for applied ML and the Doordash product Ideally have
About the Team DoorDash is building the world’s most reliable on-demand logistics engine for delivery! We’re looking for machine learning engineer interns to join our fast-growing engineering team to help us develop a 24x7 global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role As a Machine Learning Engineer intern at Doordash, you’ll work on tackling new challenges in machine learning and artificial intelligence. You’ll conduct research that can be applied across Doordash engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: Auction, Game theory, Recommender systems, Ranking, AdTech, Computer Vision, Causal Inference, and Big data analytics. We offer a 12-week summer internship program in our San Francisco, Sunnyvale, New York, or Seattle offices. You’re excited about this opportunity because you will… Use cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, Graph analysis to solve real-world problems across discovery, ads,forecasting, fulfillment and search experiences at Doordash. Contribute and execute on research ideas that can be applied and used to improve product experience at Doordash. Collect, analyze, and synthesize findings from data and use these insights to build relevant ML models. Write clean, efficient, and sustainable code We’re excited about you because you… Are working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field and are graduating between Fall 2027 & Summer 2028 Have a mastery of at least one systems languages (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow) Have experience in research and in solving analytical problems Are a strong communicator and team player. Have a passion for applied ML and the Doordash product Ideally have work
$140K – $170K/yr
Technical Support Manager About the role: We are looking for a technically skilled, self-motivated, customer-focused manager to lead a team of high energy Support Engineers. In this role you will be responsible for hiring, developing and mentoring team members as well as delivering against key performance metrics. You'll lead process improvements for customer and partner growth, retention, and excellence, while fostering individual contributions and driving cross-functional projects that spark innovation and collaboration. You need to be comfortable working in a fast paced environment and continuously challenge the team to step outside their comfort zone. Minimum Education Requirement This position requires a U.S. Bachelor's degree (or foreign equivalent) in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical field. This requirement is a minimum and cannot be substituted by work experience alone. What You Will Be Doing Become a product expert and stay technically close to complex and critical customer escalations. Lead a team of exceptional product experts providing the Sigma user base with an excellent customer experience. Hire, develop and train a strong team of Support Engineers on an ongoing basis. Own strategic areas of the Support organization end to end, from strategy through measurable outcomes. Partner across Engineering, Product, Customer Success, Sales, and Marketing to solve customer challenges and drive cross-functional outcomes. Drive performance against key Support metrics, including CSAT, Initial Response, SLA, and Time to Resolution. Continuously refine processes to optimize efficiency, elevating customer support operations. Uncover golden insights within Support data, translating them into actionable strategies that improve customer experience, operational efficiency, and business outcomes. Develop a reputation for excellence, high credibility and integrity with
The Sales Compensation Manager is vital for scaling and operationalizing Sigma's sales compensation process. You will ensure accurate, timely compensation payouts using expert analysis and refine processes, tools, and reporting to align compensation with business results. This role is ideal for a self-starter who thrives on ownership, data integrity, and cross-functional collaboration between Finance, Revenue Operations, and GTM leadership. Key Responsibilities Commission & Incentive Processing Execute end-to-end commission calculation validation and processing for sales commissions and incentive payouts with high accuracy and precision. Identify, troubleshoot, and resolve calculation discrepancies and stakeholder escalations efficiently. Support compensation accruals and roll-up reporting in coordination with Finance close cycles. Systems & Platform Administration Manage Sigma’s compensation platform with the broader team. Ensure clean data flows between CRM (Salesforce), HRIS, ERP, and comp systems. Plan Governance & Communication Support administration of quota rules, crediting structures, and payout policies. Prepare clear plan documentation, and communication for GTM teams. Cross-Functional Collaboration Partner closely with Finance, Sales Operations, HR/People, and Data to align comp mechanics with business strategy. Identify, prioritize, and implement process improvements that increase accuracy and reduce manual effort. Qualifications: 5+ years of experience in sales compensation, ideally within fast-scaling SaaS orgs. Advanced proficiency with Salesforce CRM, Sigma and spreadsheet tools. Familiarity with consumption-based models and usage-driven GTM strategies. Exceptional attention to detail, robust problem-solving skills, and a strong systems mindset. Effective communication skills with the ability to clearly translate complex compensation logic for both technical and non-technical audiences. Bo
JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Research Analyst – JLL What this job involves: The Research Analyst will join JLL's San Francisco Research team to deliver market intelligence that sets JLL apart. You will analyze San Francisco's industrial, office, and flex markets alongside the economic drivers that shape them. This role combines direct client engagement with hands-on data analysis, positioning you at the intersection of urban economics and commercial real estate. You will grow from foundational market research into automated workflows, quantitative modeling, and independent analysis—building both analytical rigor and technical capability. If you're curious about what drives markets and ready to become data fluent while mastering local real estate dynamics, this role offers a clear path forward. What your day-to-day will look like: Develop expertise on San Francisco's economy, industry composition, demographics, and commercial real estate market to identify trends and emerging opportunities Maintain comprehensive market coverage by tracking significant leasing activity, tenant movements, development projects, sales transactions, and ownership changes Meet regularly with clients and internal teams to present market insights, conditions, and forecasts Produce quarterly reports on San Francisco market
The Sales Compensation Manager is vital for scaling and operationalizing Sigma's sales compensation process. You will ensure accurate, timely compensation payouts using expert analysis and refine processes, tools, and reporting to align compensation with business results. This role is ideal for a self-starter who thrives on ownership, data integrity, and cross-functional collaboration between Finance, Revenue Operations, and GTM leadership. Key Responsibilities Commission & Incentive Processing Execute end-to-end commission calculation validation and processing for sales commissions and incentive payouts with high accuracy and precision. Identify, troubleshoot, and resolve calculation discrepancies and stakeholder escalations efficiently. Support compensation accruals and roll-up reporting in coordination with Finance close cycles. Systems & Platform Administration Manage Sigma’s compensation platform with the broader team. Lead system updates, user access coordination and UAT Ensure clean data flows between CRM (Salesforce), HRIS, ERP, and comp systems. Plan Governance & Communication Support administration of quota rules, crediting structures, and payout policies. Prepare clear plan documentation, and communication for GTM teams. Cross-Functional Collaboration Partner closely with Finance, Sales Operations, HR/People, and Data to align comp mechanics with business strategy. Identify, prioritize, and implement process improvements that increase accuracy and reduce manual effort. Qualifications: 5+ years of experience in sales compensation, ideally within fast-scaling SaaS orgs. Advanced proficiency with Salesforce CRM, Sigma and spreadsheet tools. Familiarity with consumption-based models and usage-driven GTM strategies. Exceptional attention to detail, robust problem-solving skills, and a strong systems mindset. Effective communication skills with the ability to clearly translate complex compensation lo
From $1.1M/yr
About the Role As the Fleet Coordinator, you will be the single source of truth for the fleet: tracking what configuration each aircraft is flying and where it is, with no aircraft cleared to fly outside its approved configuration.You'll oversee all aircraft configuration that supports engineering and Part 135 operations, while keeping aircraft audit-ready. You will play a key role in supporting safe, compliant, and reliable operations by dispatching aircraft, tracking configuration and compliance records, and acting as the connective tissue between engineering, operations, maintenance control, and the FAA. You're excited about this opportunity because... Fleet Configuration & Testing: Maintain and verify compliance across the Part 107 test and Part 135 Commercial aircraft inventory: registration, airworthiness status, maintenance logs, and battery/component life-cycling." Maintain accurate software, hardware, and firmware configuration records for every aircraft, including designated testing candidates, so results are always traceable to a known config. Track aircraft location across the fleet ensuring one hundred percent accountability. Initiate and track parts requests tied to configuration changes, testing, and scheduled maintenance. Operations & Compliance: Maintain OpSpecs and the general maintenance manual, ensuring maintenance procedures and standards align with Part 135 requirements. Maintain the maintenance, training, and flight-log records the FAA expects an air carrier to produce on demand. Act as point of contact during FAA audits, representing the accuracy of aircraft configuration records and documentation against the maintenance program's compliance requirements. Fleet Dispatch & Availability: Decide which aircraft flies which mission (dispatch-style), verifying maintenance status before an aircraft is released. Track each aircraft's real-time location and availability, including movements between bases, hangars, and maintenance fac
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