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Python Engineer 2c Agentic Ai Jobs

3,762 active opportunities · Updated for October 2026

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Explore current python engineer 2c agentic ai jobs. Use filters to narrow by work mode, employment type, experience and date posted.

A
Airbnb
📍 United States• Full-time• From $164K/yr
1mo ago

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join We are seeking a highly skilled and experienced professional to join our team as the Payments Insights Analytics Lead. In this role, you will play a critical part in executing the strategic direction of Airbnb's Payments operations. Within this role, you will enable, facilitate, and assist in streamlining integrated data-driven decision making across the Payments Platform, Product, Operations organizations. The team is committed to operational excellence and Host and Guest experience through a culture of problem-solving, guided by data and research. We inject quantitative measurements into our user journey, product, processes and implement objective indicators of success. You will collaborate in the development and implementation of policies and procedures related to receiving and processing funds. Oversee the day to day operations in partnership with finance across collection, reconciliation and settlement (e.g., timely processing of payments motioning systems for issues). Collaboration will be a key aspect of this role, as you will work closely with cross-functional teams to drive process improvements and streamline payments data globally. Your ability to effectively communicate and build relationships with stakeholders at all levels of the organization will be essential in achieving our goals. The Difference You Will Make You are passionate about solving complex problems within the Payments domain using data, insights, AI/ML models, and experimentation; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis You are hig

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A
Airbnb
📍 United States• Full-time• From $180K/yr
1mo ago

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Airbnb, a leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. We offer unique accommodations and experiences, crafted and curated by locals. As we expand into new marketplaces for in-person experiences and services, we are on the lookout for driven and innovative individuals to help shape our growth trajectory. The Difference You Will Make: Airbnb is seeking a Staff, Advanced Analytics, to support our Guest App team. This individual will act as a senior thought partner, supporting strategic business and product initiatives through detailed data analysis, experimentation, statistical modeling, and the development of reporting tools and metrics. The individual will be instrumental in driving product decisions for the Guest App, especially for strategically important Promotional Merchandising initiatives, to optimize for the company's objectives and ensure optimal experiences for guests. A Typical Day: Be the Advanced Analytics owner and expert on domain datasets. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. Apply technical expertise with quantitative analysis, experimentation, data mining, forecasting and the presentation of data to identify trends and patterns that can inform decision-making. Collaborate closely with Product, Engineering, Finance, Marketing, Operations, Data Science, Advanced Analytics, Data and Analytical Engineering, and other cross-functional teams to provide actionable insights. Design, execute, and analyze experime

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D
Discord
📍 San Francisco Bay Area• Full-time• $279K – $310K/yr
1mo ago

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord's Experimentation Platform puts data at the heart of the company's decision-making and growth - we run hundreds of experiments at any given time, and those results turn directly into business decisions across Discord. As a Staff Data Scientist on this team, you will ensure that the statistical underpinnings of our experiments are sound, that experimenters are able to design experiments with high rigor, and that Discord makes the best business decisions on the basis of these experiments. We are a small and quickly growing team; you will be presented with significant leadership opportunities as we evolve. Our team directly impacts the strategy and roadmaps that improve Discord for its more than 90M daily active users! If helping make Discord an even better place to hang out with your friends sounds like an exciting challenge - we'd love to chat with you! What you will be doing Formulate the vision and set the roadmap for the future of the Experimentation Platform, in partnership with engineering, product, and data science stakeholders. Provide statistical expertise, ensuring that experimentation methodologies and frameworks are sound and aligned with best practices in causal inference and experimental design. Partner closely with engineering and product to improve the reliability, scalability, and adoption of experimentation across Discord - including modern AI/LLM tooling where it can accelerate rigor and speed. Lead initiatives to educate and train cross-functional teams - including workshops, training sessions, and educational materials - on experimentation design, statistical methodology

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A
Airbnb
📍 - USA• Full-time• Remote• From $200K/yr
1mo ago

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The mission of the Core Data Science team is to ensure that we are leveraging state of the art science at Airbnb for the highest possible impact on the business and the community. We do that by building reusable tools and models that empower DS teams across the organization; and by tackling the most technically challenging, high impact data science problems the company faces. The Difference You Will Make: Estimating the causal impact of product changes is a core function of data science at Airbnb. This is typically done through short term experiments or quasi-experiments. However, ultimately we are interested not in maximizing the short term impact of what we do, but rather optimizing for the long term. Doing this well requires accurately estimating the long term impact of platform changes through frameworks that connect short-term outcomes to long-term impact. In this role, you will develop and improve our frameworks for long-term impact estimation and own the most important estimation problems you identify. We are looking for someone that can develop the science and ensure it is fitted to Airbnb's problem space and stakeholder needs. Success is better long-term impact estimation in practice, not just in theory. A Typical Day: Develop causal estimates for long-term impact of short-term metric movements. Build frameworks for estimating how the impact of product changes evolves over time. Create frameworks and tooling to evaluate the heterogeneous impact of product changes Develop and apply causal inference methods, including experimental, econometric regressions, a

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A
Airbnb
📍 Remote• Full-time• Remote• From $224K/yr
1mo ago

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Guest Experience is responsible for Search and Discovery, Merchandising, and end-to-end online software experience worldwide from top-of-funnel discovery through post-booking engagement. We are looking for a talented Data Scientist to join the Guest Data Science team. This tech lead will be at the core of using AI and casual inference to understand user behavior in our app, detect underlying intent, and to build data products needed to provide a compelling and personalized experience of our app. We build products that help guests find the inventory most relevant to them in our marketplace. The Difference You Will Make: As a Senior Staff Data Scientist, you will lead innovation efforts to build methodologies to identify and evaluate the preferences important to every guest, at every step of their online discovery funnel. You will be instrumental in shaping our data strategy to drive guest conversion and regular engagement with the Airbnb platform across our Homes, Experiences and Services business verticals. This role emphasizes technical excellence and driving business impact with cutting-edge science. Your role will involve close collaboration with Product to identify in-product optimizations and shape UX design architecture to path how guests navigate from surface-to-surface in our app. The ideal candidate will demonstrate to be a domain expert with granular user behavior and sequence datasets in a marketplace setting. You will hold a high bar for our customer experience and balance a passion for AI with a strong desire to accurately understand user behavior and business suc

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Discord
📍 San Francisco Bay Area• Full-time• $192K – $216K/yr
1mo ago

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Ad Operations and Sales Analytics support Discord's ads business, partnering with Sales, Product, Engineering, Data Science, and other cross-functional teams to deliver high-quality campaign executions, impactful data insights, and go-to-market strategy across our advertising products. As an Ad Operations Manager, you will play a crucial part in scaling our Ads business. You'll improve the efficiency and scale of campaign execution while contributing to deep-dive analyses that drive business growth and inform go-to-market strategy. You'll provide valuable feedback to Product and Engineering teams, directly impacting Discord's advertising capabilities while removing friction from customers' experience with our platform. What You'll Be Doing Ensuring ad campaigns are implemented and launched on time and to specification — including campaign parameters such as dates, targeting, tracking, impression/reach goals, geographies, and budget — working closely with Account Executives and Account Managers to align setups with client objectives Providing hands-on technical support to key customers and Ad Sales partners, and owning the processes and escalation path (in partnership with Engineering) for issues related to platform integration and use Partnering with Account Managers and technical teams to optimize campaign outcomes and maximize client ROI, including troubleshooting and A/B testing of messaging, creative, and targeting Synthesizing campaign performance insights for internal stakeholders and clients — performance, trends, ROI, and actionable recommendations Building and scaling automations and tooling (i

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Stripe
📍 Seattle• Full-time
1mo ago

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 Tax team is focused on building the most tech-advanced tax department in the industry, leveraging automation, custom engineering, and real-time data to maintain a competitive advantage. The Tax Technology Lead serves as the lead architect for the Tax team's digital transformation, reporting to the Head of Tax. This role accelerates technology adoption to transition Tax into a high-velocity, tech-first department, bridging the gap between the Tax team's subject matter experts and internal and external technology resources. What you’ll do In this role, your primary mandate is to accelerate technology adoption and drive the Tax team's transformation into the most tech-forward tax department in the industry. You'll focus on four strategic areas. Reduce time to value for emerging technologies, including generative AI, LLMs, and cloud-native tax engines. Address technical debt by systematically phasing out legacy processes in favor of scalable, code-based solutions. Instill a developer mindset within the Tax team, establishing version control (GitHub), automated testing, and CI/CD pipelines. Maintain the department as the internal and external benchmark for financial technology through rapid experimentation and execution. Responsibilities Refine the Tax team's strategic technology roadmap and develop a multi-year execution plan, defining key objectives, milestones, and initiatives to drive long-term success. Run "art of the possible" and s

pythonjavasql
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T
Twitch
📍 San Francisco• Full-time• From $136K/yr
1mo ago

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

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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. Stripe was built with simplicity in mind. We strive to deliver frictionless experiences for all of our users, whether they are an Independent Business, Startup, SMB, or Enterprise, and our mission is to provide all Stripe Users with the best support experience possible. Today, Stripe handles over a million support cases per year and processes millions of internal transactions. We're going to achieve excellence by thinking of support in a novel, solution-oriented way, and viewing operations as an integral enabler of all of Stripe's growth. About the team At Stripe, our Mexico City office is a vibrant hub at the forefront of our mission to reshape the financial landscape for businesses worldwide. Our team prioritizes collaboration, innovation, and excellence. As a member of the Mexico City team, you'll be part of a mission-driven community dedicated to enhancing the global economy and increasing the GDP of the internet. We strive for excellence by creating with craft and beauty, while having fun and celebrating our successes together. We cultivate a culture of collaboration, inclusivity, and support where every team member's voice matters. Our commitment shines through as we handle over a million support cases each year, empowering our users not just to solve problems but to achieve their goals. What you'll do Responsibilities Troubleshoot and solve complex problems Analyze our processes and instigate changes to help scale our operations and improve user exp

pythonsqlai
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S
Stripe
📍 Bengaluru• Full-time
1mo ago

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 Stripe mission is to build the economic infrastructure for the internet. Risk and Compliance Engineering builds products to lower financial and regulatory risk at scale for Stripe, while retaining a best-in-class user experience. We build user-facing products and backend platforms to ensure our users are compliant with regulatory and financial partner requirements. We protect the Stripe brand while also protecting the company from financial losses that can put the Stripe business at risk. The Risk TPM team is crucial to driving programs to address these challenges. What you'll do As a Technical Program Manager in the Risk and Compliance space, you'll play a key role across engineering, product, and strategy to drive programs that span across the Risk organization and Stripe. You'll be responsible for the successful definition, cross-functional strategy, planning, and execution of large-scale technical programs that help to solve complex problems and empower Stripe and our users. Responsibilities • Execute on technical programs that require deep systems and engineering knowledge. • Partner with Engineering Managers, Product Managers, and other cross-functional partners to define, scope, and drive large programs to conclusion. • Develop, implement, and iterate on program management techniques, frameworks, and key performance indicators to achieve goals with well-defined success criteria. • Make substantial improvements to how the teams you

pythonsqlai
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S
1mo ago

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 Technical Account Managers work cross-functionally to support Stripe’s largest and most complex users. Through trusted relationships we offer customized, strategic consultations and proactively identify opportunity areas to help businesses deliver more value to their customers, optimize technical operations on their teams, and accelerate their global growth with Stripe. What you’ll do You will strategically support Stripe’s AI user segment consisting of complex and high-growth AI companies. You will develop deep relationships with your assigned accounts’ key stakeholders through frequent in-person meetings and technical account planning sessions. Responsibilities Provide a gold standard experience to your assigned accounts' key stakeholders Work with the wider Operations team to provide current state, resources, and knowledge to enable a gold standard experience across teams interacting directly with the user via support channels, external documentation, or product/feature feedback or development Foster long-term user relationships that grow loyalty to Stripe and Stripe products Work cross-functionally both internally and within your user's organizations to provide and implement operational solutions on subjects not limited to fraud/disputes, declines, product adoption, and global expansion Work closely with Account Management and other user-facing teams as part of a larger effort to support users on Stripe Lead user-facing meetings both

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S
Stripe
📍 Sydney• Full-time
1mo ago

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 Technical Account Managers work cross-functionally to support the largest and most complex Stripe users. Through trusted relationships, we offer customized, strategic consultations and proactively identify opportunity areas to help businesses deliver more value to their customers, optimize technical operations on their teams, and accelerate their global growth with Stripe. What you'll do Responsibilities Provide a Gold Standard Experience to your assigned accounts' key stakeholders Work with the wider Operations team to provide current state, resources, and knowledge to enable Gold Standard Experience across teams interacting directly with the user via support channels, external documentation, or product and feature feedback or development Foster long-term user relationships that grow loyalty to Stripe and Stripe products Work cross-functionally both internally and within your user's organizations to provide and implement operational solutions on subjects not limited to fraud, disputes, declines, product adoption, and global expansion Work closely with Customer Success and other user-facing teams as part of a larger effort to support users on Stripe Lead user-facing meetings both in person and through video chat Collaborate on the continued design of this support offering Create user-facing content for long-term solutions Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these

pythonsqlai
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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 At its core, Stripe is a treasury company, and the Treasury Finance team is key to building the Global Payments and Treasury Network (GPTN). We collaborate closely with product, engineering, sales, and finance teams to create innovative solutions that enhance Stripe's financial capabilities. As part of Treasury Finance's AI and Quantitative Analytics team, you'll work at the intersection of finance, artificial intelligence, quantitative reasoning, and product development, building autonomous agents and intelligent solutions that enhance treasury capabilities and enable us to better serve and scale with the global economy. What you’ll do Within Treasury Finance AI and Quantitative Analytics, you'll leverage your finance, artificial intelligence (AI), and technical expertise to build intelligent solutions that enhance Stripe's treasury capabilities. You'll develop AI-powered tools and quantitative models, autonomous agents, and analytics that automate complex workflows and provide actionable insights. Working at the intersection of artificial intelligence, finance, and product development, you'll collaborate with engineering and finance teams to deploy cutting-edge AI applications that scale with Stripe's growth and support our mission of increasing the GDP of the internet. Responsibilities Apply your treasury and finance domain expertise to identify high-impact opportunities where AI can be integrated with quantitative tools to solve comp

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S
Stripe
📍 Singapore• Full-time
1mo ago

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 Technical Account Managers work cross-functionally to support the largest and most complex Stripe users. Through trusted relationships, we offer customized, strategic consultations and proactively identify opportunity areas to help businesses deliver more value to their customers, optimize technical operations on their teams, and accelerate their global growth with Stripe. What you'll do Responsibilities Provide a Gold Standard Experience to your assigned accounts' key stakeholders Work with the wider Operations team to provide current state, resources, and knowledge to enable Gold Standard Experience across teams interacting directly with the user via support channels, external documentation, or product and feature feedback or development Foster long-term user relationships that grow loyalty to Stripe and Stripe products Work cross-functionally both internally and within your user's organizations to provide and implement operational solutions on subjects not limited to fraud, disputes, declines, product adoption, and global expansion Work closely with Customer Success and other user-facing teams as part of a larger effort to support users on Stripe Lead user-facing meetings both in person and through video chat Collaborate on the continued design of this support offering Create user-facing content for long-term solutions Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these

pythonsqlai
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T
Twitch
📍 New York City• Full-time• From $136K/yr
1mo ago

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

pythonsqlrest
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