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Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for a Strategic Account Executive who will play a critical role driving sales and maximizing expansion opportunities with a defined list of top-tier Enterprise customers. You will be responsible for targeting, building and nurturing positive relationships with key C-level decision-makers, understanding complex business needs, and delivering innovative solutions across our product suite. This is an opportunity to accelerate your career, learn from leading sellers in the industry and build an incredible network of cross functional partners throughout Figma. This role will be based out of either Sydney or Melbourne, Australia. What you'll do at Figma: Manage a defined list of named strategic accounts to consistently meet or exceed quarterly and annual sales targets Apply effective discovery and value-selling techniques to build and strengthen C-level relationships for every account in your book Align with executives on business challenges and gain sponsorship for enterprise wide deployments for a suite of products, identifying where Figma’s roadmap and innovations fit in the long term Conduct thorough analysis to create strategic account plans that outline company priorities and initiatives, multi-threading at at senior level to build on expansion opportunities Co-create with cross-functional partners to expertly position Figma, drive deals forward and ensure customer success Leverage opportunities to advance executive level relationships through in-person meetings and networking opp

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 are seeking a Pricing Implementation Analyst to join our Pricing team in the Lending Organization. This is an exciting role for someone to make a direct impact on the revenue of SoFi. As Pricing Implementation Analyst, you will be working closely with a world-class team of business leaders and data scientists to help SoFi implement, monitor, and advance pricing controls and the execution of pricing strategies across our consumer lending products. What you’ll do: Pricing Execution (60%) Materialize strategy implementation by translating high-level strategies into tactical steps, assessing system implication, and ensuring specifications are complete and aligned. Maintain robust audit trails and enforce governance requirements, including Jira and Gitlab process controls. Collaborate closely with Engineering teams to troubleshoot and resolve system issues, ensure successful pricing deployments, and continuously monitor data pipelines to verify pricing strategy is running as expected. Develop and maintain systematic validation functions to ensure implementation accuracy across all products Controls & Process Improvement (25%) Develop and maintain controls, including building automated validations alerts and anomaly/exception detection Tableau dashboards Identify opportunities to enhance execution

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’s mission is to create a world where anyone can belong anywhere. Airbnb Payments team supports this mission by economically empowering Airbnb businesses and our global community of guests and hosts. Airbnb Payments team allows any two people in the world to frictionlessly exchange money with easy to use payments services. It is a core strategy to fulfill Airbnb’s belongs anywhere mission.We are building a world-class payments platform that moves billions of dollars, in 191 countries, with 75 currencies, through a complex ecosystem of payments partners. We build and maintain our own in-house global payments platform because no solution exists with the global reach needed. As the platform grows we’ll be adding new payment partners, global licenses, compliance and regulation controls, and building new payment experiences for our guests and hosts. Payments Transactions team and Payments Payouts team are part of the core platform of the Airbnb Payments ecosystem. The teams are building the core billing system and payouts system for Airbnb money movements. The team engineers are responsible for the seamless orchestration and recording of Airbnb’s payment obligations with our community. They initiate, advance, and realize Airbnb’s payment commitments with our community in a way that is reliable, accurate, timely, scalable, and auditable. The Difference You Will Make: We are looking for talented and self-motivated Senior Software Engineers who are passionate about working in this highly dynamic domain and collaborating with world-class XFN teams to advance our mission. As part

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we empower both enterprises and individuals to reach their full potential. Our culture prioritizes impact, innovation, and collaboration, making Snowflake the ideal place to build ambitious projects, execute quickly, and advance technology — and your career — to the next level. The Role We are seeking a Manager, Applied Field Engineering - AI/ML Product Specialists to lead a high-performing team of Applied Field Engineers within the Applied Field Engineering organization. In this hands-on leadership role, you will manage a team of Applied Field Engineers who specialize in Generative AI, Machine Learning, and Advanced Analytics. You will be responsible for coaching your team through technical sales engagements, driving execution excellence, and ensuring customers successfully activate and consume Snowflake's AI/ML capabilities. You will translate team-level insights into feedback that shapes broader strategy, working closely with your manager and cross-functional partners to align execution with organizational priorities. Responsibilities & Focus Areas: Technical Execution & Consumption Activation: Drive team performance toward Consumption Activation — ensuring customers successfully move workloads into production and realize contracted credit value Coa

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to advance our understanding of human health. The Opportunity The role is part of the Data Engineering team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. Our goal is to maximize the speed, agility, and capability of biological AI research by connecting public data resources and Biohub's experimental platforms to AI systems. The data that trains biological frontier models comes in dozens of modalities (sequences, images, spatial coordinates, time series, molecular structures, metadata, publication artifacts) each with its own noise characteristics, biases, and information content. The question of how to represent this data for learning is one of the most important open problems in biological AI. As a Senior Staff Data Engineer at Biohub, you'll be designing systems that ingest data from public repositories, transform heterogeneous biological formats into AI-rea

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment. Our research spans: Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science Imaging foundation models trained across the world's largest microscopy datasets Reasoning and agentic systems that connect frontier LLMs with biological foundation models Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled Join Our Team! As a Research Engineer, you'll build the models and systems that define what AI can do in biology: foundation models, reasoning, reinforcement learning, and multi-agent systems at frontier scale. What You'll Do Build on and advance the AI systems at th

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment. Our research spans: Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science Imaging foundation models trained across the world's largest microscopy datasets Reasoning and agentic systems that connect frontier LLMs with biological foundation models Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled Join Our Team! As a Research Scientist, you'll build the models and systems that define what AI can do in biology: foundation models, reasoning, reinforcement learning, and multi-agent systems at frontier scale. What You'll Do Build on and advance the AI systems at t

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment. Our research spans: Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science Imaging foundation models trained across the world's largest microscopy datasets Reasoning and agentic systems that connect frontier LLMs with biological foundation models Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled Join Our Team! As a Research Engineer, you'll build the models and systems that define what AI can do in biology: foundation models, reasoning, reinforcement learning, and multi-agent systems at frontier scale. What You'll Do Build on and advance the AI systems at th

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment. Our research spans: Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science Imaging foundation models trained across the world's largest microscopy datasets Reasoning and agentic systems that connect frontier LLMs with biological foundation models Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled Join Our Team! As a Research Scientist, you'll build the models and systems that define what AI can do in biology: foundation models, reasoning, reinforcement learning, and multi-agent systems at frontier scale. What You'll Do Build on and advance the AI systems at t

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE The Field Productivity & Enablement Lead is responsible for making our sales motion clear, practical, and repeatable. This person will help define how we sell at Baseten: how managers run the business, how reps qualify and advance deals, how sales works with FDE, product, marketing, and support, and how those expectations get turned into training and day-to-day habits. This is a senior individual contributor role for someone who excels at both strategy and execution. You'll shape the system, but you won't stop at slides or frameworks. You'll build the playbooks, run the training, coach to the behaviors, and help managers ensure the process is followed consistently. We're not looking for someone who wants to force-fit a single methodology onto the business. We're looking for someone who is fluent in MEDDIC/MEDDPICC, Command of the Message, Challenger, and similar approaches, and can take the best ideas from each, adapt them to a technical sales motion, and build an approach that fits how Baseten actually sells. You'll report to the Head of Enablement and Productivity. Frontline managers and reps are your primary customers. RESPONSIBILITIES Manage operating model. Define the core rhythms for frontline managers, including 1:1s, forecast calls, pipeline reviews, deal reviews, and coaching cadences. Create clear expectations for how managers inspect deals, coach reps, and drive consistency across the team. Sale

Coder is looking for a Senior Sales Development Representative (SDR) to fuel our growth by generating qualified pipeline for our Enterprise Account Managers. You’ll help bring Coder’s Environment-as-a-Service platform to some of the world’s largest companies that are adopting AI-driven development at scale. This role is all about creating opportunities: finding and engaging the right prospects, uncovering the pain points Coder can help with, and setting up qualification calls that set our EAMs up for success. You’ll play a critical role in driving Coder’s outbound motion and helping large organizations build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. In the US, this is a hybrid position and requires in-office presence three days a week at our office in South Austin (78704). What you’ll do here Generate qualified opportunities for EAMs through targeted outbound prospecting Conduct multi-channel outreach across phone, email, and LinkedIn using tools like SalesLoft, Sales Navigator, ZoomInfo, 6sense, and Nooks Research target accounts and key personas to craft personalized and value-driven messaging Set up qualification calls for EAMs to run and advance through the sales cycle Work closely with EAMs to strategize account outreach and hand off qualified opportunities seamlessly Maintain accurate activity and lead data in CRM and engagement platforms Collaborate with marketing to align messaging and campaigns to drive higher response rates Stay sharp on developer tooling, platform engineering, and AI-driven development trends to speak credibly with prospects What we’re looking for 1-3 years in outbound SDR or BDR roles within SaaS or developer-focused technology companies Proven ability to generate pipeline through outbound cold calling, emailing, and social selling Experience with SalesLoft, LinkedIn Sales Navigator, ZoomInfo, 6sense, and similar prospecting tools Strong written and verbal communicati

About the Role & Team We’re looking for an Engineering Manager to lead the Data Infrastructure team within Statsig Experiment at Amplitude. You will lead a multidisciplinary team of software engineers, data engineers, and data scientists responsible for the systems that power experimentation at scale. The team owns three critical areas: Data ingestion: Collecting and importing experiment exposures, custom events, OpenTelemetry data, and real user monitoring data across SDKs, streaming systems, cloud storage, and customer data warehouses. Data computation: Building distributed computation systems that transform raw data into accurate, timely experiment results. Stats engine: Developing and productionizing the statistical methods that help customers make trustworthy decisions from their experiments. This is not a traditional data engineering management role. We are looking for a leader with a solid data science and statistical foundation who can connect advances in experimentation methodology with scalable production systems. You will help set our technical and scientific direction, translating new statistical methods and machine learning research into capabilities that customers can use reliably at scale. You’ll partner closely with data scientists, engineers, product managers, and customers to advance the state of experimentation. The ideal candidate is equally comfortable discussing causal inference and statistical power with data scientists, distributed computation architectures with engineers, and experimentation strategy with customers. What You’ll Do Lead and grow the team responsible for Statsig’s data ingestion, experiment computation, and stats engine. Define the technical and scientific strategy for advancing experimentation across both Statsig Cloud and warehouse-native deployments. Partner with data scientists and engineers to turn new statistical and causal inference methods into scalable, reliable product capabilities. Evolve our data and computatio

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Advance the state of the art for model post training, ship state of the art models to production, and bridge the gap between research and production. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and supporting our research effort depending on individual interest and organisational needs. We have all the compute, data, and talent available for you to do your best work. Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! As a Member of Technical Staff, you will: Design and write high-performant and scalable software for training models. Consistently post-train the models to reach SOTA level performance. Coordinate with other specialist teams (Agentic, Code…) to produce models that have strong all encompassing performance. Craft and implement techniques to improve the performance and results of our training cycles both on the SFT and the RL regime. Research, implement, and experiment with ideas on our superco

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Ship state of the art models to production. Design and implement novel research ideas. Build elegant training/deployment pipelines. Join us at a pivotal moment, shape what we build and wear multiple hats as an intern! Our recruitment process will begin in the upcoming weeks, and we will be carefully reviewing applications and assessing potential candidates for our internships. Should we find a suitable match with your qualifications and our requirements, we will be in touch to discuss the opportunity further and to advance your application to the next stage Please Note: To be eligible for this position you should be a student currently enrolled in a post-secondary program, available for a full-time 3-6 month internship, co-op, or research work term. As a Machine Learning Intern, you will: Design, train and improve upon cutting-edge models. Help us develop new techniques to train and serve models safer, better, and faster. Train extremely large-scale models on massive datasets. Explore continual and active learning strategies for streaming data. Learn from experienced senior machine learning technical staff. Work c

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. The design team at Plaid is made up of product designers, researchers, and content strategists who work with our cross-functional partners to create Plaid’s products. Please visit https://designedbyplaid.com/ to learn more about the Design team. As a Product Design Manager on the Dashboard team, you will manage a multidisciplinary team of product designers and a researcher, leading design efforts across multiple product areas at Plaid. As a member of each area’s cross-functional leadership team, you will partner closely with product and engineering to shape direction and outcomes. Your day-to-day responsibilities will include coaching individual contributors, driving high-quality design execution, and collaborating with PM leads to develop product strategy. Alongside owning near-term delivery, you and your team will also define and advance the long-term vision for how Plaid’s products evolve. On the Dashboard team, we focus on shipping experiences and elevating the UX quality of Plaid’s Dashboard— a key surface area for customers and data partners. The Dashboard provides a variety of features and tools for launching with Plaid, integration monitoring, and account management and is the home of emergi