About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The Platforms TPM organization partners with Experimentation, ML, LLM/GenAI, and Data Infrastructure teams to shape how Pinterest measures everything that matters — from product experiments to AI systems to the platforms everyone builds on. What you'll do: As a Staff Technical Program Manager for Measurement, you'll have the rare opportunity to shape how a company the size of Pinter
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Partner Operations And Systems Lead in San Francisco
220 active opportunities · Updated October 2026
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Explore current partner operations and systems lead jobs in San Francisco. Filter by work mode, employment type, experience, department, date posted and distance.
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The Pinterest Labs group is dedicated to the development and research of applied machine learning. Our initiatives span a diverse range of AI/ML fields, including fundamental computer vision, multimodal large language models, multimodal representation learning, generative modeling, heterogeneous graph neural networks, and recommender systems. By building foundation ML models that utilize our extensive knowledge graph and billions of Pins, we aim to significantly enhan
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering,
$1.3M – $1.7M/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. Lyft Business is changing the way companies, brands and organizations leverage the Lyft platform to redefine the way they operate and move people around. We are solving big problems, and meeting the needs of our clients and the people they care about in a whole new way. We realize that the world has changed so much recently, and that the needs of our customers and how they envision transportation is changing too. Our work is fun, challenging and rewarding and we are looking for customer and growth-focused team members passionate about solving problems and delighting our customers. As an Account Manager, you’ll help our clients understand the power of Lyft Business. You will build and manage a named account list of large organizations in the US, ensuring that they leverage Lyft’s products for any transportation objective they have. We’re building the next great transportation platform, and we need world-class talent and candidates that aren’t afraid to try new things and think outside the box to build new business. Responsibilities: Own the customer relationship with enterprise grade partners as their primary representative to Lyft for all their business related transportation needs Partner with Fortune 500 companies, to design, sell and implement custom transportation solutions for their respective passengers that include employees (essential and non), recruits, VIPs, guests, subscribers, etc Identify and generate additional revenue streams within existing accounts, including up-sells and cross-sells; selling across commuter benefits, events, employee perks, concierge, and corporate travel use cases to exceed revenue targets Generate and maintain an active pipeline with meticulous attention to opportunity staging, close dates, revenue forecasts, and deal documentation Constantly ‘se
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 Mapping team at Lyft is tasked with building a digital representation of the physical world - a map. We collect and serve the freshest and most accurate mapping data possible, along with algorithms, models, platform services, and map-based user experiences that power Lyft’s current and future transportation offerings. Mapping represents a huge opportunity for Lyft’s business, but also a big challenge. We build and scale systems that deal with large data storage, real-time data processing, machine / deep learning pipelines, routing and ETA models, driver and passenger location tracking, and more. We built beautiful and magical user experiences on top of all those services, and compete with companies that have been in the mapping business for decades. To strengthen our efforts, we are hiring a Senior ML Engineer who will work end-to-end on creating and improving new capabilities to detect changes in the environment and reflect them in our Lyft map using a wide variety of input sources from the Lyft fleet. For this we are looking for someone who values software engineering best practices, loves the algorithmic and geospatial side of the challenge and is data-driven from start to end. Our technology stack ranges from basic machine learning models to large language models and running them at scale on millions of images. You will work with incredibly passionate and talented colleagues from machine learning, data science, and engineering on projects that delight our passengers and drivers – powered by an up to date map. Responsibilities: Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing proble
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 Infrastructure builds the systems engineers depend on to ship stable, scalable, and efficient services. We're hiring a Senior Technical Program Manager to run cross-functional programs across our infrastructure and data platform teams. This role blends program delivery with product sense: you'll own the roadmap for your area, set priorities, and act as the voice of the customer back into how we build. Responsibilities Run infrastructure programs end to end, from kickoff through delivery Own the roadmap for your platform area: shape the strategy, sequence the work, and make the prioritization calls Drive data platform migration and modernization work, coordinating across engineering, data, and platform teams to keep dependencies and timelines under control Be the voice of the customer: partner with engineering teams across Lyft, surface their pain points, and feed that back into priorities and roadmaps Define success metrics and adoption goals, gather and document customer requirements, and make sure what ships actually solves the problem Build feedback loops with customer teams and turn what you hear into concrete improvements Partner with engineering and infrastructure leads to build plans, call out risks early, and keep stakeholders aligned Own program health: track milestones, surface blockers before they slip, and keep decision-makers in the loop Use your technical background in distributed systems and data infrastructure to ask sharp questions and build plans the team believes in Share in the team's release oncall rotation Experience 5+ years in Technical Program Management or a TPM/PM hybrid role A background in software, data, or systems engineering, enough to go deep with engineers Experience owning a roadmap: setting strategy, prioritizing across competing demands, and defining what suc
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. We are looking for product managers who bring exceptional creative, strategic, and analytical skills to drive forward a best-in-class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast-paced company and industry. The Lyft Business team is one of Lyft's fastest-growing and most profitable units, providing transportation solutions for organizations, including business travel, employee commutes, courtesy rides, and non-emergency medical trips. The scope of Lyft Business is expansive, spanning B2B capabilities (self-serve tools, APIs, billing and reporting) as well as the B2B2C rider experience of Business Profiles, Lyft Pass, and Rewards. We're seeking a Staff Product Manager to build Lyft Business Growth : own the marketing and lifecycle stack, the acquisition and activation strategy, and the journey that lands customers in our core experiences. You will define growth loops across the portfolio, build shared infrastructure for lifecycle, attribution, and experimentation, and partner with vertical PMs, marketing, and engineering to convert demand into durable engagement and revenue. Responsibilities: Own demand generation. Build the acquisition playbook across the channels, tactics, and mar-tech that drive qualified demand. Partner closely with marketing to measure cost to acquire and balance the mix toward durable acquisition at healthy economics. Own activation in partnership with the pods. Work with vertical PMs on their surfaces to land the customers you acquire and drive them to first value, defining what activation infrastructure is shared vs. vertical-specific.
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 Infrastructure builds the systems to ship stable, scalable, and efficient services. We're hiring a Senior Technical Program Manager to lead our AI transformation in developer productivity: rethinking how engineers at Lyft work with AI, from tooling and agentic workflows to the platforms that make them possible. This role blends program delivery with product sense: you'll own the roadmap for your area, set priorities, and act as the voice of the customer. Responsibilities: Lead Lyft's AI transformation in developer productivity: shape the strategy for how AI enhances engineering workflows, from adoption of tools like Cursor, Copilot, and Claude Code to building AI-native workflows and agentic tooling for engineers Own the roadmap: sequence the work, make the prioritization calls, and define what success looks like for AI-driven engineering productivity at Lyft Partner with engineering teams to build AI-native workflows that solve real developer pain, not just deploy tools for the sake of it Run programs end to end, from kickoff through delivery, coordinating across infrastructure, developer platforms, and engineering leadership Be the voice of the customer: partner with engineering teams across Lyft, surface their pain points, and feed that back into priorities and roadmaps Define success metrics and adoption goals, gather and document customer requirements, and make sure what ships actually solves the problem Partner with engineering and infrastructure leads to build plans, call out risks early, and keep stakeholders aligned Own program health: track milestones, surface blockers before they slip, and keep decision-makers in the loop Use your technical background to ask sharp questions and build plans the team believes in Share in the team's release oncall rotation Experience: 5+ years in Technic
From $136K/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 Join the Monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like Subscriptions, Bits, and Gifting, and the pricing and packaging decisions behind them. You'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn't possible. The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge. This role is well-suited for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale. You'll need to be comfortable writing SQL, working with imperfect data, and partnering with stakeholders to turn analysis into product impact. Our team is based at Twitch HQ in San Francisco, CA. You can work in San Francisco, CA; New York, NY; or Seattle, WA You Will: Apply causal inference methods where experimentation isn't feasible Develop models and analyses that inform pricing, segmentation, and revenue optimization Design, run, and analyze A/B experiments Pa
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Metronome, now part of Stripe, is the leading usage-based billing platform built for modern software companies. With Metronome, companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code. Our platform computes millions of invoices per billing period and is scaling rapidly to accommodate new customers, saving them hours of development time and manual invoicing and enabling them to use consumption data to better serve their customers. Our customers love our product and approach, and we’re humbled to work with amazing companies like OpenAI, NVIDIA, Confluent, and Anthropic. What you’ll do As a member of our technical support engineering team, you will be on the front lines providing world-class customer service. As part of our engineering organization, you will become an expert on our product and partner closely with Metronome's engineers, customer success, solutions architecture, and growth teams, as well as our customers' developers. Your primary responsibilities will include handling customer escalations through our ticketing system, using internal observability tools to diagnose and scope customer-facing issues, collaborating directly with customers via Slack and other channels, and developing internal tools and documentation to improve the support experience. Since we view every support escalation as an opportunity to learn, both as individuals and as a company, you will play a
Who We Are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About The Team The Solutions Architecture Team partners with our users to realize their full potential through the adoption of prescriptive solutions that drive their growth and success. We work with C-level executives, finance leaders, product design and engineering teams at global brands and platforms who are building financial services solutions with Stripe. Our SA team works closely with Account Executives, Professional Services, Customer Success Managers, Partners, Technical Account Managers and Product Teams to develop and execute on the account strategy for Stripe’s largest users including Enterprises, Digital Natives, and SaaS Platforms. We also work with the world's most innovative startups and mid market users to position our offerings and solutions for their use cases. At Stripe, managers grow teams and inspire them to do outstanding work. This leader must be a driver who loves building teams and growing businesses. This role requires great interpersonal skills to work cross functionally, as a trusted advisor to both our sales, partner and professional services teams, as well as, with our product development and marketing teams. As head of Solution Architecture for our existing business, you will lead, build, and mentor a world class pre-sales engineering team to grow the existing user base through upsells and cosells. You will drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organiza
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Global Payments Performance Team identifies payment optimization opportunities for Stripe’s merchants. We serve a critical role both in demonstrating thought leadership on challenging payment topics, and also partnering with our high-potential merchants to set them up for long term success. We want a partnership with Stripe to be a competitive advantage for our customers, large and small, by providing them with best-in-class technology in concert with insightful and specific advice on how to harness this technology to achieve their business goals. What you’ll do The Global Payments Performance team will be responsible for leading data-driven discussions with existing and prospective merchants on optimization strategies across a variety of areas including, card network costs, acceptance, fraud, and cross-border flows to start. You will be instrumental in building our optimisation narratives/tools and delivering on our merchant engagement model. You will also collaborate with Sales, deploying your knowledge to differentiate Stripe to win deals, and partner with our Customer Success organization to ensure that merchants are successful working with Stripe. Responsibilities Lead discussions with existing and prospective merchants, and provide the Sales team with
C$70 – C$75/hr
About the role: We are looking for a talented and experienced University Recruiter, Contractor based in San Francisco to join our team and participate in the hiring process from beginning to end. You’ll be working directly with our hiring partners, recruiters and candidates to create a personal and positive recruiting experience. You will: Support Scale’s University Recruiting strategy: assist with the hiring process for our Internship and New Grad programs. Manage the full-cycle recruiting strategy and process including, but not limited to, sourcing, screening, interview process, closing and more. Understand what makes a great profile for our University roles and drive strategic sourcing and candidate engagement strategies to build strong and diverse pools of candidates. Cultivate relationships with students across partnered universities and develop positive relationships with faculty, staff, and student organizations as part of a well-researched recruiting strategy. Collaborate closely with various leaders across the organization in understanding and meeting their intern and new grad hiring needs. Work from the San Francisco office 3x per week. You have: 4+ years of full-cycle university recruiting experience in a fast-paced, high-growth environment, managing high-volume hiring. Experience in managing/leading all aspects of recruiting strategy for hard-to-fill, competitive positions. Passionate about campus recruiting and strong believer in bringing early career talent to Scale. Excellent verbal and written communication skills. Excellent negotiation tactics, and market knowledge. You have the ability to work with multiple departments, including remote teams, and build strong personal networks across our complex organization. Proven ability in attracting and sourcing both passive and active candidates (aka future graduates) across Bachelors, Masters, and PhD programs. Utilizing data to perform analysis, garner insights, and set goals. A flexible, adapt
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 Ads’ vision is to build the largest transportation media network. We leverage media to elevate the transportation experience for our users while building an exciting and sustainable advertising business. Our assets include Lyft in-app sponsorship opportunities, the largest bikeshare network in the country, off network audience programmatic solutions, as well as experiential activations. Our work is fun, challenging, and rewarding and we are looking for a customer-focused team member passionate about solving problems, delighting our agency partners, and winning new business. As a Senior Digital Account Executive for Lyft Media, you will be the primary point of contact for major advertising agencies and marketing clients. You will have discretion to shape the future of our growing media business while managing the day-to-day sales processes and relationships with advertising agencies. Responsibilities: Lead C Suite level conversations to increase revenue and grow strategic partnerships Demonstrate in-depth insights of the sales process and product combination Lead account planning process that aligns brand and Lyft’s resources to maximize opportunities Grow revenue, educate and lead strategic conversations with clients and navigate complex relationships Demonstrate expertise in all matters relevant to your book of business, including escalation and troubleshooting to resolve client issues Spearhead client education on products and give product updates to advise on the best approach to drive business outcomes for clients and agencies Lead collaboration with external clients and internal stakeholders Create compelling media packages and custom offerings to close new media business Build and manage sales pipelines while achieving quarterly revenue goals Work autonomously and independently to seek new
$1.7M – $2M/yr
At Qualia, we've built the leading B2B real estate technology that transforms the home buying and selling experience into a simple, secure, and enjoyable process. Our SMB and Enterprise products bring together users from across the real estate ecosystem---homebuyers and sellers, lenders, title and escrow agents, and real estate agents---onto a single shared digital closing platform, providing greater clarity and transparency to real estate transactions. Today, through our business customers across the country, millions of consumers use Qualia to close on homes every year. WHAT YOU'LL WORK ON The FP&A team at Qualia is the analytical engine of the Finance organization. We own the company’s planning and forecasting processes, serve as trusted business partners to functional leaders, and produce the financial insights that inform our most important strategic decisions—all in an environment where AI is actively reshaping how we work. As a Senior FP&A Analyst, you will be a driving force across the organization for forecasts, annual planning, long-range planning, and critical financial analysis — partnering closely with leaders across Sales & Marketing, Customer Success, R&D and G&A to manage spend, track performance, and surface insights that shape how Qualia operates as we scale. RESPONSIBILITIES Elevate Qualia's financial rigor — drive deeper Budget vs. Actuals analysis and forecast precision via smarter, more data-driven modeling and tighter cross-functional collaboration, particularly in uncharted, high-impact areas Support monthly forecasting and reporting processes — analyze financial results, distill key trends, and communicate risks and opportunities to influence business outcomes; assist in preparation of monthly and quarterly management reporting including variance analysis, dashboards, and Board materials Build and own our growing playbook of financial models and reports, ensuring quality, timeliness, and accuracy across in-depth analyses
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