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Member of Technical Staff (Search Crawler Analyst)
The internet is vast, containing trillions of URLs. Perplexity’s crawling and storage system is complex and has multiple stages (URL discovery, crawling, parsing, indexing). Each stage offers many opportunities for improvement and room for intricate bugs. You’ll work at the intersection of data analysis and engineering — designing metrics, building data pipelines, and improving the quality of our search and answer systems. Responsibilities - Find and diagnose quality issues in our crawling pipeline - Train small models that optimize particular aspects of the pipeline (e.g. parsing quality) - Build datasets for model training, including LLM-as-a-judge labeling pipelines - Improve page selection algorithms for indexing - Design and analyze experiments to validate improvements Qualifications - 4+ years of experience as a data analyst, ML engineer, or in a related role - Strong coding skills: you should be able to write production-grade code at the level of a mid-level backend engineer - Experience designing metrics from scratch - Experience training ML models that shipped to production with measurable metric improvements Nice to have - Direct experience working on web crawling or indexing pipelines
Enterprise Account Executive - Financial Services
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re looking for an experienced, motivated Enterprise Account Executive to drive ElevenLabs’ growth across Financial Services: the banks, credit unions, insurers, lenders, and wealth managers people trust with their money, their families, and their futures. These institutions win or lose on trust and service at massive scale, under some of the most demanding regulatory standards anywhere. Their customers increasingly expect to talk, not type, whether they’re checking a balance, disputing a charge, filing a claim, or asking about a loan. Our ideal candidate learns fast, closes well from a warm introduction, and is passionate about AI voice technology. You’ll act as a strategic partner to institutions reimagining how they serve, sell to, and sound to their customers, safely and at scale. In this role you will: - Win net-new logos and drive ElevenAgents deal volume. These are the two metrics that define success in this role - Be able to balance a diverse pipeline of large financial institutions who require white glove experience with medium sized regional clients who require speed to close - Partner with the Enterprise Sales Lead to turn warm introductions into qualified opportunities and closed deals - Identify where conversational AI can drive growth, automation, or cost efficiency in customer-facing and internal workflows. Our public use cases include account inquiries, payment support, fraud triage, loan origination, claims processing, collections, and compliance verification. Others include caller verification, onboarding, policy servicing and renewals, and contact center coaching - Stay current on the conversational AI landscape, including competitive solutions, build-vs-buy dynamics, and emerging trends in AI governance and model risk - Develop and execute account strategies across the whole buying group (CX and Contact Center Operations, Digital and Product, Technology, and Risk, Compliance, Legal, and InfoSec), landing with one high-impact use case and expanding across lines of business - Partner closely with Forward Deployed Engineers to solution high-impact use cases, manage a successful Proof of Value, guide customers through model-risk, security, and architecture review, and set them up to scale in production - Partner closely with Legal teams to drive strategic, fast-moving negotiations - Serve as a trusted advisor on generative AI and voice, and share what you learn in the field to sharpen our Financial Services positioning, messaging, and references Requirements - At least 7+ years of quota-carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms - Financial services experience (banks, credit unions, insurers, lenders, payments) is preferred but not required. We weigh demonstrated adaptability and fast ramp in a new industry heavily - Proven success closing [six- and seven-figure] deals and managing complex, multi-stakeholder sales cycles - Proven ability to take a warm introduction through discovery, Proof of Value, and procurement to close - Experience selling to both technical buyers (product and engineering) and business buyers (CX, operations, digital), and to risk and compliance gatekeepers, translating complex technology into business value - Adept at deeply understanding a customer’s business and translating ElevenLabs’ capabilities into solutions that deliver against their needs - Proficient in enterprise procurement, security review, and legal processes, including regulated-industry vendor risk, model risk, and data protection reviews, and able to work autonomously as a cross-functional partner - Strong executive presence, the ability to build relationships with senior executives, and willingness to travel frequently for onsite client visits and conferences - High EQ, self-aware, and curious. Low ego and hands-on, comfortable running your own prospecting and deals - Comfort in an early-stage, high-growth environment, where ambiguity is the norm and the state of play changes rapidly - Passion for voice and conversational AI and how it can unlock transformative value for customers Location This role is remote-first, so it can be executed from anywhere in the United States, however the ability to operate in EST, CST, or PST timezones is required. There is a preference for candidates to be based in New York or San Francisco, with the option to work out of our office. LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Senior/Staff Security Engineer, Detection & Respon...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Anthropic's models grow more capable, so does the interest of people who want to attack or misuse them. The Detection and Response (D&R) team spots those threats and responds to incidents across every layer of Anthropic's technology stack. The team is early-stage, so you'll help build our detection and response capabilities from the ground up and work closely with our security and research teams. Key responsibilities - Lead incident response across a range of domains, from external attacks to insider threats, spanning all layers of Anthropic's technology stack - Build and deploy tooling, including tools that use large language models, to improve how we detect and respond to threats - Create and tune detections, playbooks, and workflows to catch and respond to incidents quickly - Review incident response metrics and procedures, and drive improvements - Work across security and engineering teams - Take part in an on-call rotation Minimum qualifications - Experience handling security incidents and investigating anomalies as part of a team - Working knowledge of EDR, SIEM, SOAR, or similar security tooling - A solid understanding of cloud environments and operations - Experience working with engineering teams in a SaaS environment - Proficiency with a scripting language such as Python and query languages such as SQL - Strong communication and collaboration skills - Able to lead projects with little guidance - Able to pick up new languages and technologies quickly Preferred qualifications - 7+ years of software engineering experience, or 7+ years of detection engineering, incident response, or threat hunting experience - Security operations or investigations involving large-scale Kubernetes environments - Experience analyzing attack behavior and prototyping high-quality detections - Experience with threat intelligence, malware analysis, infrastructure as code, or forensics - Experience contributing to a high-growth startup environment Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Podcast Media Manager
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Podcast Media Manager at Anthropic, you will own how Claude shows up in podcasts, one of our most important channels for reaching professionals and knowledge workers. This is not a traditional media buying role. We're looking for someone to build a refreshed, proactive podcast strategy: securing the right shows before they're obvious, going beyond standard ad reads, and creating unique partnerships that fully integrate our product into shows in ways no other brand is doing. In this role, you'll own our podcast program end to end, from annual strategy and show selection through network buys, scripts, pacing, and reporting across 100+ shows. You'll sit on the influencer marketing team and partner closely with growth marketing on performance goals and in-house campaigns, brand marketing on major campaign flights, enterprise marketing on B2B buys and scripts, creative and copy teams on reads and refreshes, comms teams on messaging and media buying teams/agencies on execution. Key responsibilities - Own podcast strategy for Anthropic, setting where we show up instead of reacting to inbound pitches - Lead podcast strategy flights for major campaigns end to end, from planning through reporting - Manage network buys across major audio publishers including Spotify, Amazon, NYT, and others - Develop year-long buys with top shows and media outlets, identifying and pitching partners before they come to us - Build partnership packages that go beyond ad reads to include bonus episodes, video, live events, and social - Partner with creative and copy teams as their main point of contact on podcast work, establishing a repeatable process for scripts and copy points - Manage voice-actor reads and QA spots before they air - Develop a refresh cadence for reads so messaging stays current across 100+ shows, tailored to each show's audience - Manage agency relationships, pushing partners to deliver the best rates, placements, and ideas - Track pacing across buys and shift budget as performance data comes in - Present results and learnings back to the team on a regular basis - Partner with growth, brand, and enterprise marketing to align podcast plans with performance goals, campaign flights, and B2B objectives Minimum qualifications - Have deep experience in podcast media buying at a tech or consumer company with a substantial podcast budget - Have managed podcast programs in-house directly, not only through an agency - Have run both agency partnerships and in-house podcast programs, and know how to get the best work out of each - Are skilled at managing and pushing media agencies to secure strong rates, placements, and ideas - Can spot up-and-coming shows before they're obvious and back your picks with a clear rationale - Bring creative ideas that go beyond the standard ad read, from bonus episodes to live events to product integrations - Are comfortable owning the details of execution, including scripts, QA, pacing, and reporting, alongside long-range strategy - Work well across many partner teams and can build repeatable processes that scale - Enjoy shaping a program from the ground up rather than maintaining an existing playbook - Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications - Experience negotiating year-long or multi-format partnerships with top shows or networks - A background in copywriting or close collaboration with creative teams on host-read scripts - Familiarity with B2B audiences and enterprise-focused podcast buys - Experience with podcast measurement, attribution, and incrementality testing - Relationships with major audio publishers, networks, and independent hosts - Experience extending podcast partnerships into video, social, or live formats - Familiarity with AI products or the broader developer and knowledge worker audience The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $200,000 - $255,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Data Engineer, Product
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Data Engineer on the Data Science & Analytics team, you'll build the foundation that lets analytics scale across Anthropic. You'll partner with Engineering, Product and other teams to turn raw data into reliable metrics, reporting and insights, and you'll make sure teams have accurate metrics for our consumer products from idea to launch. You'll also lead your own projects that make self-serve insights possible, so teams can make data-driven decisions. Responsibilities - Understand, and where possible anticipate, the data needs of partner teams, and translate them into data models, reporting and technical requirements - Define, build and manage key dbt pipelines that turn raw logs into canonical datasets - Set data integrity standards and SLAs so data is delivered on time and accurately - Build reliable dashboards that track core metrics and share insights across the company - Build foundational data products, dashboards and tools that let self-serve analytics scale - Partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products - Shape Product teams' roadmaps from a data systems perspective - Become an expert in our data models and data architecture You may be a good fit if you have - Significant experience as a Data Engineer or in a similar Data Science & Analytics role, ideally partnering with Product leads to build and report on company-wide metrics - A passion for Anthropic's mission of building helpful, honest and harmless AI - Expertise building multi-step ETL jobs with tools like dbt, plus experience with workflow tools like Airflow and version control through GitHub - Expertise in SQL and Python for turning data into accurate, clean data models - Experience building reporting and dashboards in tools like Hex that serve multiple cross-functional teams - A bias for action, and a sense of when "good enough" beats perfect - An end-to-end mindset: you take ownership of solving a problem fully, even when that means picking up work beyond your usual scope - Comfort with ambiguity, and a habit of creating clarity and forward progress - Experience using AI to scale your own productivity and your team's without lowering the quality of the work Strong candidates may also have - Experience building a data engineering (or similar) function from the ground up in an early-stage or fast-growing environment The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Cybersecurity Sales Specialist
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role AI is changing what security teams can do. Claude can find and help fix vulnerabilities in code at a pace that wasn't possible a year ago, and we want defenders to have that advantage first. As a Cybersecurity Sales Specialist, you'll own Anthropic's security business across the accounts in one of our business units, such as financial services, healthcare and life sciences, or technology. You'll lead the security strategy with CISOs, partnering with the Account Executives who own the accounts in your industry to drive opportunities and put Claude to work on their hardest security problems. You'll help decide how we sell security, what we learn from customers, and how that shapes our products. The work matters to our mission: a safe transition through transformative AI depends on the people who defend critical systems being able to use it well. Responsibilities: - Build and close security business, from the first conversation with a CISO's team through contract and expansion, working with the Account Executive who owns each relationship - Create security pipeline with the Account Executives in your industry, from their existing accounts and through outbound to security leaders, events and joint work with partners - Lead with the customer's problem: finding and fixing vulnerabilities, application security, security operations, and deploying AI agents securely - Partner with your Applied AI engineers on discovery, proofs of concept and architecture, and know when to bring them in - Guide customers through security reviews, verification for security use cases, and procurement - Teach the Account Executives in your business unit to spot and qualify security opportunities - Bring what you hear from security teams back to our product, safeguards and marketing teams You may be a good fit if you: - Have closed complex, multi-stakeholder enterprise deals where the security organization was the buyer or the deciding approver - Have worked as a specialist alongside account teams while carrying your own number, and can say exactly what you did to win the deal - Can hold credible conversations with a CISO, an application security lead and a security engineer about how their work gets done - Have deep experience in at least one security domain, such as application security, vulnerability management, security operations, cloud, data, identity or endpoint security - Build pipeline where there's no playbook yet, through outbound and partners rather than inherited accounts - Lead through influence, not authority: Account Executives bring you into their accounts because you help them win - Sell consultatively: you understand the problem before you propose anything, and you're honest about what a product can't do - Care about making AI systems safe and beneficial Strong candidates may also have: - Experience selling security in one of the industries we cover, and an understanding of how security is bought and regulated there - Experience selling AI, developer or data platform products to technical buyers - Hands-on experience as a security practitioner or sales engineer before moving into sales The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 - $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Vendor Admin Lead
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a Vendor Admin Lead to own vendor master data for our global Finance Operations team. Reporting to the Director of Global Accounts Payable, you will be the single point of accountability for who our vendors are and get paid: onboarding, bank-detail verification, supporting documentation vetting, data quality and the controls around all of it. Anthropic's vendor base is growing quickly across the US, Europe and Asia-Pacific, and a clean, verified vendor data is what keeps a fast-growing company scale with the necessary controls. This role is deliberately separate from invoice processing and payments. You will control vendor records and bank details; you will not book invoices or move money. That separation is the point of the role, and you will own the SOX controls that enforce it and help design the access model that keeps it that way. This is an opportunity to build a vendor-master function from the ground up and leverage process automation with Claude while supporting the team making AI safe. Responsibilities Supplier onboarding - Run intake for every new vendor and payee: validate completeness, collect and verify supporting documentation, and enable records in the ERP backbone system against agreed service levels - Validate supporting documents; set 1099-reportable and tax flags correctly - Confirm third-party risk and restricted-party screening before activation - Set up one-time and non-vendor payees with the right record type rather than forcing them through full onboarding - Partner with TPRM and IA teams on control requirements and continuous process improvement - 1099 annual reporting Bank details and fraud prevention - Own every bank-detail setup and change; validate against a bank letter on letterhead or an approved equivalent (void checks, etc.) - Run independent callbacks per policy using contact details sourced independently of the request, and record the evidence - Validate international bank formats and addresses (IBAN, SWIFT/BIC, ABA, SEPA, BSB, IFSC, Japanese bank/branch codes) - Identify and escalate business-email-compromise attempts and other payment-fraud red flags Data quality and maintenance - Maintain vendor structure: parent/child and remit-to relationships, entity and country records, contacts and payment terms - Lead vendor consolidation: eliminate duplicate vendors and bank accounts, execute merges and inactivations in batched, logged, reviewed changes - Run periodic health reviews for dormant vendors, stale bank letters, missing tax forms and incomplete records; drive 1099 and TIN readiness for year-end - Own periodic vendor deactivation campaigns Controls and audit - Own the vendor-master SOX controls as the named control owner: maker-checker on every create and change, change-log review, evidence retained on every record - Prepare the periodic review of bank-detail changes paid, and address Internal Audit and external auditor requests - Partner with Finance Systems to design and maintain ERP security roles so vendor master, invoicing and payments stay separated - Flag any suspicious vendor set-up activity through the appropriate channels Process, systems and improvement - Own vendor-master documentation, intake checklists, requester guidance and service levels - Serve as the vendor-data expert through process migrations, including data conversion and post-migration fixes - Partner on automation: AI-assisted intake validation, document extraction, bank-format checks and a vendor self-service portal - Report monthly on onboarding volume, cycle time, bank changes, exceptions and data quality, and use the data to improve the process Minimum qualifications - 7+ years in vendor master or AP operations with 3+ years of ownership - Owned a vendor master in an ERP end to end — process, controls and data — across multiple entities and countries - Hands-on experience verifying bank details and preventing payment fraud: bank letters, independent callbacks, BEC red flags, international bank formats - Experience with vendor tax documentation: W-9/W-8 validation, TIN matching, VAT/GST IDs, 1099 flagging - Working knowledge of procure-to-pay controls — segregation of duties, maker-checker, change logs, audit evidence — and have performed or owned a SOX control - Led a vendor data cleanup, consolidation or ERP migration and can show the outcome - The confidence to hold the line with requesters, vendors and senior stakeholders under time pressure while staying clear and helpful - Strong Excel or Google Sheets skills with large datasets (dedupe, lookups, reconciliations) and exceptional attention to detail Preferred qualifications - Workday Financials vendor management, and experience with Zip, Coupa or a similar procure-to-pay platform - SOX experience at a public company or one preparing to go public - Experience supporting APAC and EMEA vendors in a high-growth, multi-entity company - Experience designing or reviewing ERP security roles with a systems team - Comfort using AI tools to automate validation, follow-ups and reporting The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Manager, Claude
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Claude is one of the fastest-growing AI products in the world, with tens of millions of users worldwide relying on Claude across web, mobile, and desktop. As a Product Manager on the App Foundations team, you’ll be responsible for key parts of the product experience spanning the core Claude user-experience, and primitives such as memory, voice mode, and artifacts. You'll be improving and scaling a product that has enormous reach. This requires strong systems thinking, judgement about what to build next, deep care for craft and quality, and the ability to move quickly in a highly cross-functional environment, while maintaining our commitment to safety and beneficial AI. Key Responsibilities - Own the end-to-end strategy, roadmap and execution for your area - Design capabilities as systems that flexibly extend to all Claude products - Translate frontier model capabilities into simple, intuitive experiences that a broad consumer audience can understand and love - Analyze product metrics and user feedback to identify opportunities and optimize performance - Use a mix of quantitative data, experimentation, and user research to deeply understand user behavior and make prioritization calls - Set a high bar for quality and craft — sweat the details of the everyday interactions that millions of people experience - Partner closely with design, engineering, data science, research, and marketing to ship high-impact product improvements at a fast cadence - Balance rapid iteration with our commitment to AI safety and ethics Minimum Qualifications - Experience working on products with millions of users - Exceptional product taste and instincts for what makes experiences delightful - Highly analytical and fluent in experimentation and using data to drive decisions - Excellent communication and stakeholder management skills - Ability to thrive in a fast-paced, ambiguous environment - Passion for AI technology and its potential impact on society - Technical background or ability to work effectively with engineering teams - Ability to translate nascent model capabilities into compelling product experiences Preferred Qualifications - 8+ years of product management experience, across both consumer and enterprise - Founder experience is a plus - AI product experience is a plus - Working on products that were both B2C and B2B is a plus The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $385,000 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Designer, Growth
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Growth at Anthropic is about helping people discover what Claude can do and make it part of how they work, from someone's first session to an entire company rolling out Claude. We're a small design team working across all of Anthropic's products, on problems that often don't have established playbooks, because the products and the capabilities behind them change so quickly. We drive growth by making the product itself better, favoring foundational changes and new product experiences over small optimizations. Our focus spans whatever most limits Anthropic's growth, and priorities can shift quickly. As a senior Product Designer on Growth, you'll own how Claude grows with people who use it for their everyday work. You'll dig into why some people make Claude a habit and others don't, find the real bottlenecks, and lead the product changes that move them. You'll set the vision for this area, partner closely with product, engineering, and data science, and raise the quality bar for the designers around you. We're looking for designers who thrive in ambiguity and pair sharp diagnostic judgment with exceptional craft. You form a clear point of view from messy signals, prototype quickly to test it, and drive alignment across teams to ship it. You use tools like Claude Code to explore ideas and push what's possible. Key responsibilities - Own growth for how people use Claude in their everyday work, end to end, as your full-time focus - Diagnose what drives deep, habitual use and what blocks it, combining data, research, and hands-on time in the product - Set an opinionated vision for the area and turn it into a roadmap with your PM, engineering, and data science partners - Redesign core parts of the product to drive growth, from onboarding and first-run experiences to the everyday workflows people rely on most - Shape hypotheses and experiments, and judge results with a nuanced view of how we win, not just the topline metric - Deliver exceptionally crafted interactions and set the quality bar for your area - Drive alignment with partner teams whose work touches your area, connecting individual use to team and company adoption - Mentor other designers, and frame problems clearly enough that others can own them - Prototype and test ideas quickly with Claude Code and other AI tools Minimum qualifications - A portfolio of shipped product design work that shows product vision and a high level of craft - Experience owning growth for a major product area end to end, including diagnosing problems and setting direction - Deep growth design experience in activation, onboarding, retention, engagement, or expansion, on a product at meaningful scale - Hands-on experience designing, launching, and interpreting experiments, and using them to make product decisions - Fluency with product analytics such as funnels, retention, and engagement - Proficiency with design, prototyping, and AI tools, such as Figma and Claude Code, and a habit of learning new tools to push what's possible - Strong collaboration and communication skills, with experience driving alignment across product, engineering, and data science Preferred qualifications - Experience leading growth strategy across multiple teams or product areas - Experience designing enterprise/B2B SaaS, productivity, or collaboration tools - Experience with product-led growth, from a single user to a team to a company-wide rollout - Experience mentoring designers or shaping a design practice - Comfort querying data yourself with SQL or a similar tool - Experience prototyping with front-end code (e.g., HTML/CSS/JS) - Experience defining AI-powered workflows for yourself or your team - A clear point of view on when a product should ask for attention, and when it should stay out of the way - Passion for building safe, beneficial AI that helps people do their best work Representative projects - Diagnose why some people make a product part of their daily work and others drift away, then lead the changes that close the gap - Redesign a core part of the product so people return to it more often and get more value each time - Set the vision for a product's first-run experience and lead it through experiments to a redesigned, permanent flow - Design the path from one person's daily use to their whole team adopting it The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Head of Programmatic Customer Success
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Customer Success organization covers our most strategic enterprise accounts through dedicated Customer Success resources, but the majority of our customers will never be reached that way. Programmatic Customer Success is how we close that gap: scalable digital journeys, AI-built engagement plays, and partner-delivered activation motions that drive habitual Claude adoption across a much broader customer base. This is a new function, and you'd be its first leader. You'll report to the Head of Strategic Deployments & Success and work closely with Product, Partnerships, Growth Marketing, and Strategy to design and operate the system that moves customers from signed contract to deeply embedded, outcome centric usage. The right person for this role has built something like this before, at real scale, and is genuinely excited to build it again from the ground up with better tools. We anticipate using Claude as a core part of how the team operates, but will supplement with best of breed SaaS products where appropriate. Key responsibilities - Define the customer journey and moments that matter along the journey that lead to daily usage of Claude in a way that delivers outcomes for Claude users - Define and own the programmatic CS strategy: how we tier accounts, what motion each tier receives, and how customers move between them as their needs evolve - Design and ship digital success programs, including lifecycle communications, in-product nudges and self-serve onboarding in a way that drives activation and habitual usage without human-touch coverage - Build and run AI-powered engagement plays that extend the team's reach; work with Product to clarify what this team builds versus what lives in the product itself - Set the quality bar and requirements for partner-led activation, and maintain a tight feedback loop with our Partnerships team who owns the partner ecosystem - Establish the metrics framework for programmatic success: define what "activated" means at each tier, identify leading indicators, and build the instrumentation to track them - Run a rigorous experimentation program to understand which motions actually change customer behavior - Hire and lead a small, high-leverage team while bringing cross-functional partners along on the vision and the operating model Minimum qualifications - Proven experience leading and building programmatic, digital success, lifecycle, or PLG motions at significant scale — with direct ownership of an adoption or activation outcome - Track record of building scalable systems and programs, not just managing existing ones; you've started from a blank page before - Strong cross-functional instincts — comfortable writing briefs that other teams execute against, resolving handoff ambiguity, and influencing roadmaps without direct authority - Data-driven approach to decision-making, including experience designing experiments that distinguish real behavior change from activity metrics - Experience managing and developing teams Preferred qualifications - Experience spanning more than one of: digital/PLG, partner ecosystems, lifecycle marketing, or scaled CS — ideally combined into a single integrated motion - Hands-on familiarity with AI-powered workflows or automation as a force multiplier for a small team - Background working at a fast-growing technology company where the playbook was still being written - Experience with tiered coverage models and designing the handoffs between high-touch and low-touch The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 - $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Conceptual Reasoning Fellow
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Program Overview Many of the questions that will shape our future have no single checkable answer. Reasoning well about them, whether in law, policy, philosophy, economics, cognitive science, or AI safety itself, takes the kind of judgment experts spend years building. We believe frontier AI, developed safely, can become a real partner on these questions, but getting there means working closely with the people who know these fields best. This fellowship brings researchers and experts from philosophy, cognitive science, economics, policy, and law into Anthropic for four months to work alongside our research teams. Fellows pair deep domain expertise with our frontier models and internal tooling to evaluate, improve, and apply Claude's capabilities in their field. What to Expect: - A concrete, scoped project matched to your background, with mentorship from Anthropic researchers. - Access to frontier Claude models and internal evaluation tooling. - A cohort of incoming Fellows to collaborate with and a connection to Anthropic's broader research community. Compensation: $100,000–$167,000 USD for the four-month fellowship (equivalent to $300,000–$500,000 USD annualized), and other benefits. Key responsibilities - Identifying key open problems in your field, assessing approaches to solving them, and using Claude to make progress on them. - Identifying grand societal challenges which the expertise of your field is crucial for addressing, and assessing Claude’s strengths and weaknesses in tackling them. - Designing evaluations and RL environments that test models in your field systematically, turning your expertise into working tests of how well Claude reasons in your field. - Team up with other Fellows in your field to build environments that push Claude on the hardest, most judgment-heavy problems your discipline has to offer. Minimum qualifications - Are excited about the potential for AI to reason well about hard questions in their field where expert judgment matters. - Hands-on experience using Claude and Claude Code in your day-to-day workflow. - Hold (or are completing) a PhD in philosophy, cognitive science, economics, policy or law, or have equivalent research experience. - Are comfortable working in a fast-paced, high-agency atmosphere for a few months and delivering concrete results. - Existing authorization to work in the United States for the duration of the program. Preferred qualifications - Experience designing evaluations, benchmarks, datasets, or expert rubrics. - Demonstrated expertise in your field, shown through research, scholarship, or expert-level analytical writing. Representative projects - A philosopher building hard cases that require normative judgment in ethics or formal epistemology. - A cognitive scientist designing experimental-design and model-comparison tasks. - An economist writing modelling and identification problems with ground truth. - A policy scholar drafting regulatory and cost-benefit analysis tasks with expert rubrics. - A legal scholar building AI-policy-relevant law datasets. Logistics - Fellows - The program runs from January 12th to May 8th 2027 , and is full-time for the duration; some fellowships may be considered for an extension. - Applications are open until October 28, 2026 , and we plan to make offers by November 20th. Later stages will typically include a take-home exercise and conversations with our research team and potential mentors about your research interests and possible project directions. - We ask that all Fellows attend a one-week in-person orientation in San Francisco. - The default location is in San Francisco. We will consider remote engagements within the United States in certain circumstances. - We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the United States. - This is a fixed-term contract position. Fellows are engaged through an employer of record, rather than employed directly by Anthropic. The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Executive Director, Chemical Biology/Drug Design
Your work will change lives. Including your own. The Impact You'll Make Recursion is seeking an Executive Director of Chemical Biology/ Drug Design to develop and lead chemical biology efforts that bridge multiomic discovery with target ID, including chemical probe design, as we expand our platform into new modalities beyond traditional small molecules (e.g. targeted protein degradation, molecular glues, and other emerging modalities). This is a senior scientific leadership role responsible for setting chemical biology strategy, managing a team of designers, and driving programs that bridge multiomic discovery to target ID and designing our chemical probe library to facilitate target discovery. . You will lead multidisciplinary project teams: partnering closely internally with biology, multiomics platform (high content imaging, RNA etc), computational biologists and data scientists to translate novel target and ligand insights into potent, selective, and developable chemical matter. You'll bring hands-on chemical biology expertise together with the strategic judgment to prioritize programs, manage internal and external (CRO) teams, and build the new capabilities needed to establish new modalities within the portfolio. Recursion's AI/ML-driven Design Platform is a core tool your team will draw on, and you'll play an active role in shaping how computational and generative design approaches are integrated into chemical biology decision-making. This role blends deep technical credibility with people and program leadership. The Team You'll Join You will lead within the Drug Design team as part of the Discovery function in building Recursion's next generation of therapeutic modalities, working alongside computational drug design, medicinal chemistry, biology, data science and platform technology groups that integrate proprietary AI-driven technology with advanced molecular design. The team tackles structurally enabled and non-structurally enabled targets across a diverse range of therapeutic areas, with a growing focus on proximity (e.g. protein degradation, molecular glues), and PPI blockers (e.g. macrocycles). As a leader, you will help define how chemical biology strategy and capability is built out and scaled to impact our portfolio. In This Role, You Will: - Set chemical biology strategy for Recursion based on our multiomics platform, with a focus on linking our proprietary maps of biology to targets using modern chemical biology methods and work with teams to establish the right drug modalities (e.g. degraders, molecular glues) alongside traditional small molecule work - Build, manage, and mentor a team of multiomics chemists, fostering a coaching-driven environment for growth - Establish and manage internal and external (CRO) chemistry teams and networks to execute screening, synthesis, and validation campaigns - Partner closely with biology, target ID teams, structural biology, and computational drug design to align chemical biology strategy with target validation and platform capabilities - Define and align program strategy and go/no-go criteria with senior leadership, factoring in competitive landscape and portfolio priorities - Represent the team in portfolio reviews and governance meetings, and lead technical discussions on molecular design with external collaborators and partners - Contribute to IP strategy and business development activities related to novel chemical matter and new modalities The Experience You'll Need - PhD in chemical biology, chemistry, or related field, with 10+ years of relevant industry experience and demonstrated people leadership - Deep, hands-on track record in chemical probe design — selective inhibitors, proximity approaches such as molecular glue degraders/PROTACs, covalent or activity-based/photoaffinity chemistry - Proven ability to deconvolute phenotypic hits to mechanism via chemoproteomics or equivalent target ID methods - Track record building and scaling a chemical biology function — hiring, mentoring, and developing multiple scientists/managers - Experience setting multi-year technical strategy (e.g. chemical library architecture, probe portfolio direction) rather than executing a single program's plan - Comfortable operating with high ambiguity — translating open biological questions into executable chemistry strategy without a pre-defined target - Executive-level communication: able to represent chemical biology strategy directly to C-suite/board and influence cross-functional senior leaders - Prior experience managing, mentoring, or leading chemists and cross-functional project teams, including internal/external (CRO) team management Nice to have - Direct experience with phenomics, high-content imaging (e.g., Cell Painting), or other image-based screening platforms - Familiarity with how AI/ML-derived phenotypic signatures inform compound prioritization or target nomination - External scientific visibility — publications, conference leadership, or partner/BD-facing technical credibility - Experience contributing to IP strategy or licensing diligence involving novel chemical matter Working Location & Compensation: This is a remote position based in the United States. We are also open to candidates local to or interested in moving to be in office in Salt Lake City, Utah ; employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: $237,600–$284,900 . In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-DB1 LI-Remote The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Senior Analyst, Travel & Expense
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Senior Analyst, Travel & Expense, you will run the day-to-day financial controls, audit program, and executive reporting behind Anthropic's T&E function. T&E touches every employee, every legal entity, and every executive, and it runs on Navan, Brex, and negotiated supplier agreements. Spend and transaction volume have grown several-fold in the past six quarters, and the controls need to scale to meet a public-company standard. You will report to the Head of Travel & Expense in Finance Operations and work daily with Accounting, Tax, Payroll, Talent, Security, Legal, Finance Systems and Administrative Business Partners. Responsibilities Controls & SOX Compliance - Own the day-to-day operation of key T&E controls, including approvals, card issuance and spend limits, segregation of duties, and policy exceptions, within the control framework set by the Head of T&E, who owns the overall T&E process - Maintain the T&E process narratives and risk and control matrix, and keep them current as systems and policies change - Ensure correct GL coding and complete, accurate month-end reconciliations across Navan, Brex, and Workday, and support close, flux analysis, and accruals - Act as the preparer for T&E controls and the day-to-day contact for internal and external auditors: gather and retain evidence, support walkthroughs and sample requests, and track remediation, escalating significant issues to the Head of T&E International Expansion Controls - Set up and maintain entity-level coding and approval flows in Brex and Navan as new legal entities and countries come online - Document and operationalize country-specific rules for per diems, VAT reclaim, non-USD cards, receipt requirements, and local tax treatment - Partner with Tax, Payroll, and Global Mobility to ensure compliance - Support accurate intercompany treatment of T&E costs across entities T&E Audit Program - Help design, build, and run a risk-based audit program covering sampling, anomaly detection, misuse escalation, and remediation tracking - Define and monitor pre-spend rules, duplicate and split-transaction checks, and receipt and 30-day submission compliance - Build dashboards and reporting on policy compliance, exceptions, and control performance for Finance leadership - Partner with the Head of T&E to deploy Claude to review transactions, flag policy exceptions, and automate recurring reporting Program Operations - Own day-to-day T&E operations, supporting the growing volume of travel and expense activity and platform configuration and automation, so operations keep running without pulling focus from controls - Own transaction-level review and receipt follow-up, and help shape what should be automated rather than staffed - Partner with Benefits, Payroll and Legal to ensure the T&E program is compliant with relevant local and country requirements Preferred qualifications - 7+ years of experience in travel and expense, corporate accounting, internal audit, or finance operations, ideally at a high-growth technology company - Hands-on SOX or internal-controls experience: writing process narratives, testing or operating key controls, and working with external auditors - Strong accounting fundamentals, including GL coding, account reconciliations, accruals, and month-end close support - Deep platform expertise in Navan and/or comparable TMC platforms, plus Brex or equivalent expense management tools, and working knowledge of ERP integrations (Workday preferred) - Strong analytical skills: comfort with large transaction datasets, sampling methods, and anomaly detection - Sound judgment and discretion with sensitive information, and the ability to work credibly with senior executives and their support teams - Clear written and verbal communication, with the ability to explain a control or an exception to Finance leaders, auditors, and employees - An AI-curious, builder mindset: experience automating finance workflows with AI tools, or real enthusiasm for doing so, and comfort creating structure where none exists - CPA, CIA, or equivalent certification - Experience with multi-entity, multi-currency environments, including per diem rules, VAT reclaim, and cross-border tax considerations - Experience with pre-IPO or newly public company readiness - M&A integration experience a huge plus The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Recruiter, International Business
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that keep the company running and bring our work to customers. We’re looking for a Recruiter to join our Talent team—based in Dublin —to own full-cycle recruiting for either our G&A functions (Finance, Legal, People, and related areas) or our Go-To-Market organization (Sales, Marketing, Partnerships, and Customer-facing roles), depending on business need and your background. This is a full-cycle individual-contributor role for a strong recruiter who can run an excellent process end to end—sourcing, screening, managing stakeholders, and closing. You’ll partner with hiring managers across EMEA to understand what great looks like, build healthy pipelines, and deliver a candidate experience that reflects Anthropic’s values. You’ll work in a fast-moving environment where priorities shift, and you’ll have real ownership over the roles you run. We’re open to candidates whose strength is in G&A recruiting or in GTM recruiting; in your application, tell us where your experience is deepest. Key responsibilities - Own full-cycle recruiting for a portfolio of G&A or GTM roles across EMEA—from intake through offer and close - Partner with hiring managers to scope roles, calibrate the bar, and build effective sourcing strategies - Source and engage high-quality active and passive candidates, building diverse and competitive pipelines - Run structured, rigorous, and candidate-centric interview processes that uphold Anthropic’s hiring bar - Manage candidates through the process with clear communication and a great experience at every stage - Collaborate with the broader Talent team, People Partners, and Compensation to structure offers and guide candidates to close - Use data to track pipeline health and share insight that helps hiring managers make good decisions Minimum qualifications - Track record of closing strong candidates in competitive markets - Familiarity with the EMEA talent landscape and comfort recruiting across multiple countries - Strong stakeholder management—you build trust and partnership with hiring managers - Excellent organization and the ability to manage multiple searches at once without dropping details - Clear, direct communication style and a bias toward action - Comfort operating with ambiguity in a fast-moving environment - Genuine interest in Anthropic’s mission and the role recruiting plays in achieving it Preferred qualifications - 4+ years of full-cycle recruiting experience in either G&A (Finance, Legal, People) or GTM (Sales, Marketing, Partnerships) hiring - Experience recruiting at a high-growth technology, AI, or machine learning company - Experience recruiting across both G&A and GTM functions - Experience hiring across multiple EMEA markets, including the UK and Ireland - Familiarity with Greenhouse or similar ATS platforms - Additional European language skills relevant to hiring across the region The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €125.000 - €170.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Head of Digital Natives & Startups, ANZ
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Head of Digital Natives & Startups, ANZ to build and lead Anthropic's go-to-market motion for digital native businesses and startups across Australia and New Zealand. You will grow a team that wins and expands the region's fastest-moving, AI-forward companies, driving consumption of Claude directly and through our cloud partners. You will set the segment strategy, hire and develop the team, and work closely with Product, Partnerships and Marketing to turn ANZ builders into long-term customers. This is a chance to shape how one of the world's most dynamic startup ecosystems adopts frontier AI, while representing ANZ's priorities to our global leadership. Key responsibilities - Define and execute the ANZ go-to-market strategy for Digital Natives and Startups, covering both new customer acquisition and growth within existing accounts - Build, hire and lead a high-performing sales team across Australia and New Zealand, with clear targets, regular coaching and defined career paths - Own pipeline, forecast and consumption targets for the segment, running a consumption-based sales motion - Build a repeatable motion across the customer lifecycle, from early-stage founders to scaled, high-growth digital natives - Develop strong relationships across the ANZ startup ecosystem, including founders, venture investors, accelerators and developer communities - Partner with cloud providers and our Partnerships team to co-sell and extend our reach in the segment - Collaborate with Product, Marketing, Solutions and Customer Success to adapt our offering and messaging for ANZ, and bring customer feedback back to the business - Represent ANZ priorities to regional and global leadership, and keep local execution aligned with global strategy - Act as an executive sponsor for key customers and communicate Anthropic's trust and safety principles with credibility Minimum qualifications - 15+ years of overall experience selling technology products to enterprise organisations across ANZ market - 5+ years of people management experience leading sales teams in the digital native and/or startup segment - Proven success in consumption-based technology sales, such as cloud, API or usage-based SaaS - Experience building a business or team from the ground up in Australia and/or New Zealand - Track record across both customer acquisition and account growth - Strong network and credibility in the ANZ startup and digital native ecosystem - Ability to explain technical products clearly to founders, engineers and executives Preferred qualifications - Background at Google, AWS or a similar cloud or SaaS company - Experience selling AI, machine learning or developer-focused products - Experience co-selling with cloud partners and working with channel - Experience hiring and scaling a team through rapid growth - Familiarity with the ANZ regulatory and data-privacy landscape Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Finance & Strategy, Deal Strategy - APAC
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, and legal teams to ensure our products reach customers to support Anthropic's rapid growth while maintaining the financial discipline and risk management practices essential for a frontier AI company. You'll have the opportunity to build scalable processes from the ground up and directly impact some of our most strategic customer relationships. Key responsibilities - Financial Analysis: Conduct growth and margin analysis, discount impact assessment, and deal profitability modeling to support data-driven decision making - Deal Structure Optimization: Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests - Deal Review and Approval Management: Review and analyze enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications - Cross-Functional Coordination: Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals - Risk Assessment: Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders - Policy Implementation: Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives - Process Development: Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls - Documentation and Reporting: Maintain comprehensive deal documentation and provide regular reporting on deal strategy metrics, trends, and performance Minimum qualifications - Experience in deal strategy, deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment - Possess hands-on experience building sophisticated financial models, conducting pricing optimization, and structuring complex deals - Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments - Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows - Have experience with CRM systems, CPQ tools, and contract management platforms - Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail - Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership Preferred qualifications - Have 5+ years of relevant experience - Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles - Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking - Experience with deal desk operations at companies with subscription and consumption-based business models - Knowledge of enterprise software contract terms and industry-standard commercial practices - Understanding of AI business models and the unique commercial considerations Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Strategic Finance & Operations Manager
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role As Strategic Finance & Operations Lead, you'll sit at the intersection of revenue, go-to-market, and financial strategy — owning the financial models, pricing frameworks, and operational processes that power Fireworks' commercial engine. This is a high-visibility, high-ownership role that works directly with Sales, Marketing, Product, and Engineering leaders to drive deals forward and help the business scale intelligently. If you love turning ambiguity into structured frameworks and enjoy being the finance partner who actually accelerates revenue (not just reports on it) — this is your role. Key Responsibilities - Build dynamic financial and operating models to evaluate new sales strategies and pricing models, accelerating topline growth while balancing competitiveness with margin health - Work closely with sales team on customer contracts, with cross collaboration with engineering, product, and finance to operationalize and recognize new product offers - Identify and drive opportunities for process automation, bringing structure with a continuous lens of improvement to reduce friction and cycle time - Support Sales leaders with funnel analysis and pipeline visibility for sales-led accounts, turning CRM data into actionable financial insight - Support revenue and demand forecasting, necessary for resource allocation and planning for cross-functional stakeholders across GTM, Engineering, and Product - Assist with capital planning efforts, corporate finance, or investor relations, as needed Who You Are - A structured thinker who moves fast. You can build a rigorous model from scratch and ship it before the week is over. - A cross-functional operator. You're equally comfortable in a product roadmap discussion, a sales deal review, and a finance close meeting — and you know how to earn trust across each. - A business partner, not a scorekeeper. You don't just report what happened; you help shape what happens next. - Detail-obsessed but never lost in the weeds. You hold yourself to a high standard of accuracy and can also zoom out to tell the story behind the numbers. - Comfortable with ambiguity. Fireworks is scaling fast. You'll build processes and frameworks where none currently exist. Qualifications Required - 4+ years of experience in strategic finance, investment banking, or management consulting - Demonstrated experience building financial models from scratch - Strong proficiency in Excel/Google Sheets; experience working with CRM data (Salesforce or equivalent) - Excellent communication skills — able to translate financial analysis into clear recommendations for non-finance audiences - Experience or strong interest in using AI agents and tooling to develop efficient workstreams that deliver high-quality results Preferred - Experience at a high-growth SaaS or infrastructure company; prior exposure to usage-based pricing models is a strong plus - Familiarity with revenue recognition principles and billing systems - Experience designing or administering sales compensation plans - Comfort working with highly technical data and familiarity with SQL / BigQuery to pull and analyze data independently Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Office Manager, New York
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. As Office Manager, you run our New York office and make it a place people want to come to. The office is open, but the operational foundation is still to be built: few local vendors, no established rhythm, and a team growing fast. You run the office day to day as it grows from a handful of people to a full regional site, and you help put the foundation underneath it. Day to day, you are the person who makes the office work: the space, the vendors, the onboarding, the events, the visitors, and the hundred small things that decide whether a team is set up to do its best work. You also set the atmosphere. A lot of what makes an office somewhere people choose to be comes down to who runs it. This is an in-office role in New York, and you will be at the office five days of the week. It suits a hands-on operator who likes being first in: equally comfortable pushing a vendor contract over the line and sorting the catering order, and proud of a team that never has to think about logistics. We care more about how good you are than how many years you have done this. If you are early in your career but have a clear record of excelling at whatever you took on, we want to hear from you. Key Responsibilities - Office: Run our New York office end to end: the relationship with the landlord or workspace provider, access and security, health and safety, the cleaning and facilities vendors, supplies, and the day-to-day running of the space. - Atmosphere and Team Rhythm: Own the office cadence, from lunches and all-hands setup to team dinners and offsites. For customer and community events, partner with our Field Marketing team, who own the programmes, ensuring everything hosted at the office runs smoothly. - Onboarding: Make every new joiner productive on day one: equipment, access, desk, local paperwork, and a proper welcome. Handle offboarding just as cleanly. - Visitors: Host visiting executives, customers, and candidates, and make sure their time at the office runs smoothly. - Vendors and Budget: Select and manage local vendors (landlord or workspace provider, IT and device provisioning, AV, catering, cleaning, security, insurance) and own the office budget, invoices, and renewals. Minimum Qualifications A demonstrable record of excellence in whatever you have done so far (office management, operations, a startup, a fast-paced team, or elsewhere), where you were clearly one of the best at it. Years of experience matter less than this. - Fast learner with real curiosity: comfortable learning new skills that may be needed in the office with no clear owner, and knowing when to bring in expert help. - Hands-on with vendors and negotiation, or the confidence and judgment to become so quickly. - Highly organised, with a track record of running many parallel workstreams to completion without being chased. - Comfortable operating with autonomy in an ambiguous, fast-changing environment; you build the process rather than wait for it. - Excellent written and verbal communication and a service mindset toward the team. - Warm, calm under pressure, and the kind of person people go to first. This role sets the tone of the office. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Data Scientist, FinEng
About the Team OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We operate at the intersection of Product, Engineering, Risk, Finance, and Go-to-Market to ensure that paying for OpenAI products is seamless, reliable, scalable, and globally optimized. As OpenAI expands internationally and across product surfaces, FinEng plays a critical role in enabling durable, efficient revenue growth. About the Role As a Data Scientist for Financial Engineering, you will drive the measurement, experimentation, and optimization work that powers OpenAI’s monetization infrastructure. You will define how we measure and improve checkout, payments, subscriptions, and pricing systems globally—balancing conversion, risk, cost, reliability, and user experience. As a senior individual contributor, you will establish source-of-truth metrics, design rigorous experiments, develop analytical frameworks, and translate complex findings into decisions that directly affect revenue and international growth. This role is based in San Francisco, CA. We use a hybrid model of three days per week in the office and offer relocation support. In this role, you will - Define key metrics and guardrails across checkout, payments, subscriptions, and pricing. - Design experiments, staged rollouts, and offline incrementality studies. - Improve conversion, payment performance, retention, and involuntary churn. - Develop pricing, elasticity, FX, and localization frameworks. - Partner with Data Engineering to build trusted datasets and operational monitoring. - Turn complex analysis into recommendations that shape product and business decisions. - Provide technical leadership and mentor other data scientists. You might thrive in this role if you have - 10+ years of experience in data science, experimentation, or product analytics. - Experience with monetization, payments, checkout, subscriptions, or pricing. - Advanced SQL and Python skills and strong expertise in experimentation and causal inference. - A track record of independently leading high-impact, cross-functional analytical work. - Strong product judgment, communication skills, and the ability to influence senior stakeholders. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Head of Process & Controls - Finance and Operation...
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. We are seeking a Head of Process & Controls to build and lead the operational processes, controls, and governance required to scale our AI infrastructure business. This role will own the end-to-end process architecture across AI infrastructure workflows, token and usage accuracy, Order-to-Cash (O2C), and Purchase-to-Pay (P2P), with a strong mandate to build the process foundation, remediate and simplify existing workflows, and drive AI-enabled automation. The leader will take a phased transformation approach: Build the foundation →Standardize → Automate and scale with AI. The objective is to create reliable, well-controlled processes that accurately connect infrastructure consumption to customer billing, supplier costs, accounting, and financial reporting—while progressively reducing manual effort, reconciliation burden, operational discrepancies, and financial leakage. The ideal candidate combines strong process transformation and controls expertise with an understanding of cloud and AI infrastructure economics. They will work across Engineering, Infrastructure, Product, Finance, Accounting, Procurement, Sales Operations, and Data teams to create scalable workflows and embed automation into the operating model. Key Responsibilities Process Foundation, Standardization & Transformation Build the foundational process architecture for AI infrastructure and related financial operations. Define clear end-to-end processes, ownership, controls, decision rights, system-of-records, data handoffs, approval points, exception paths, and escalation procedures. Assess the current operating environment and identify: - Fragmented or undocumented processes - Manual workarounds - Spreadsheet-dependent workflows - Duplicate activities - Unclear process ownership - Control gaps - Inconsistent data definitions - Reconciliation issues - System integration gaps - Recurring operational and financial discrepancies Lead the Standardization of existing processes before introducing automation, ensuring that inefficient or poorly controlled processes are not simply automated in their current state. Develop standard operating procedures, process maps, RACI frameworks, control matrices, data definitions, and operational playbooks. Establish consistent process and control standards across functions, regions, products, customers, and infrastructure providers. Create a transformation roadmap that prioritizes foundational process improvements, risk remediation, automation opportunities, and scalable system capabilities. AI Automation & Manual Effort Reduction Lead the transition from manual and reactive operations toward AI-enabled, automated process execution and controls . Identify high-volume, repetitive, reconciliation-intensive, and exception-driven activities that can be automated. Partner with Engineering, Data, Finance Systems, and Product teams to implement AI-enabled workflows for areas such as: - Automated usage reconciliation - Token and compute anomaly detection - Customer billing validation - Vendor invoice validation - Contract-to-billing checks - Purchase-order and invoice matching - Revenue and cost leakage identification - Accrual estimation - Data-quality monitoring - Exception classification and routing - Root-cause analysis - Variance investigation - Duplicate or missing transaction detection - Automated control evidence collection - Operational reporting and management insights Design processes around exception-based management , where systems and AI handle routine transactions and teams focus primarily on material exceptions, judgment, and remediation. Establish measurable targets for reducing manual touchpoints, spreadsheet dependency, reconciliation effort, processing time, error rates, and discrepancies. Ensure AI-enabled automation includes appropriate governance, human review, traceability, validation, and controls. Workflow & Process Governance Standardize the end-to-end process framework for AI infrastructure operations, from infrastructure provisioning and consumption through usage measurement, customer billing, vendor settlement, accounting, and reporting. Map and optimize workflows across compute, GPU, model inference, API and token consumption, capacity allocation, and related infrastructure services. Establish clear process ownership, approval points, system interfaces, data handoffs, service-level expectations, exception management, and escalation procedures. Partner with Engineering and Infrastructure teams to design operational processes that remain scalable as AI workloads, customers, infrastructure providers, and commercial models grow. Ensure controls and financial requirements are embedded into infrastructure workflows by design rather than added downstream. Token & Usage Accuracy Standardize framework governing the accuracy, completeness, and traceability of AI token and infrastructure usage data. Ensure reliable measurement and reconciliation of metrics such as: - Input and output tokens - API consumption - Model inference usage - GPU or accelerator utilization - Compute hours - Storage and network consumption - Reserved and on-demand capacity - Customer-specific infrastructure consumption Establish automated reconciliations between infrastructure telemetry, metering platforms, pricing systems, customer contracts, billing systems, supplier data, and the general ledger. Develop preventive and detective controls to identify: - Missing usage - Duplicate usage - Incorrect token counts - Incorrect pricing - Unbilled consumption - Misallocated consumption - Customer/vendor usage mismatches - Unexpected consumption patterns - Data pipeline failures Partner with Data and Engineering teams to establish authoritative data sources, common definitions, and end-to-end data lineage from infrastructure activity through financial reporting. Drive continuous improvement in token accuracy, usage completeness, billing accuracy, and cost attribution . Order-to-Cash Own and continuously improve the end-to-end Order-to-Cash process , including: contract / order → provisioning → usage capture → rating and pricing → invoicing → accounts receivable → collections → revenue reporting. Build a standardized and scalable O2C foundation that supports both committed and consumption-based business models. Ensure customer contracts, pricing structures, committed capacity, minimum spend agreements, usage-based pricing, credits, and discounts are correctly translated into operational and billing systems. Establish automated controls over usage-to-invoice reconciliation and billing completeness. Reduce manual billing adjustments and recurring discrepancies through better upstream data quality, system integration, and automated validation. Develop processes for billing adjustments, credits, disputes, contract amendments, and usage exceptions. Partner with Revenue Accounting to ensure operational processes support accurate and timely revenue recognition. Drive improvements in billing accuracy, invoice timeliness, collections, customer experience, and revenue leakage prevention. Purchase-to-Pay Own and optimize the Purchase-to-Pay process for AI infrastructure and related services, including: capacity planning → purchase commitment → purchase order → service consumption → invoice validation → accrual → payment → supplier reconciliation. Build a standardized P2P foundation connecting procurement commitments, infrastructure usage, supplier contracts, invoices, and accounting. Establish controls ensuring vendor invoices accurately reflect contracted pricing and actual infrastructure consumption. Reduce manual invoice review and reconciliation through AI-enabled invoice validation and exception detection. Partner with Infrastructure and Procurement teams on commitments for cloud services, GPUs, data centers, networking, model providers, and other infrastructure vendors. Develop processes for committed-use agreements, prepaid capacity, minimum commitments, volume discounts, credits, and variable consumption charges. Ensure appropriate accruals and cost allocations where supplier invoices lag infrastructure consumption. Financial & Operational Controls Design and maintain a scalable controls framework across infrastructure operations and financial processes. Define preventive and detective controls covering: - Usage completeness and accuracy - Token accuracy - Pricing accuracy - Customer billing - Supplier invoicing - Revenue completeness - Infrastructure cost completeness - Contract compliance - Approval authorities - Reconciliations - Data integrity - Manual adjustments Prioritize automated controls over manual controls wherever technically and operationally feasible. Establish control owners, evidence requirements, review frequencies, exception thresholds, and remediation processes. Create automated exception monitoring so discrepancies can be identified close to the point of occurrence rather than through downstream month-end reconciliation. Partner with Accounting, Internal Audit, and external auditors to support financial reporting and audit requirements. Where applicable, build processes and controls capable of supporting SOX-compliant operations . Process Automation, Systems & Data Architecture Drive automation across infrastructure-to-finance workflows and systematically reduce reliance on spreadsheets, manual reconciliations, and human intervention. Partner with Product, Engineering, Finance Systems, and Data teams to define requirements for: - Usage metering - Rating and pricing - Billing - Procurement - ERP - Reconciliation - Data platforms - Workflow management - AI-enabled exception management Develop a scalable architecture connecting infrastructure telemetry to operational, commercial, and financial systems. Establish dashboards and automated monitoring for control effectiveness, reconciliation exceptions, billing accuracy, supplier discrepancies, cost allocation, and financial leakage. Create a prioritized automation backlog based on transaction volume, manual effort, financial risk, discrepancy rates, and business impact. Track realized benefits from automation, including productivity improvements, reduced error rates, faster cycle times, and reduced operational cost. Operating Metrics & Governance Establish KPIs and KRIs measuring both the health of the underlying processes and progress toward automation Lead regular cross-functional operating reviews to identify systemic issues, assign ownership, and drive remediation. Use recurring exceptions and discrepancies as inputs into process redesign and automation priorities rather than treating them as isolated operational issues. Provide management with transparency into operational risks, financial exposure, automation progress, and opportunities for further simplification. Leadership & Cross-Functional Partnership Build and lead a high-performing Process & Controls organization as the company scales. Act as the connective layer between AI Infrastructure, Engineering, Finance, Accounting, Procurement, Sales Operations, Product, Data, and Internal Audit . Establish clear accountability for processes that span multiple functions and systems. Influence system architecture and operating-model decisions to ensure financial controls, data integrity, automation, and scalability are designed into processes from the beginning. Create a culture of continuous improvement in which the organization moves from: manual → standardized → controlled → automated → AI-enabled. Balance operational rigor and financial control with the speed required in a rapidly evolving AI environment. Qualifications - 10+ years of experience in process transformation, controllership, finance operations, business operations, internal controls, or related disciplines. - Significant leadership experience building or transforming complex, cross-functional processes. - Demonstrated experience establishing process foundations in environments with immature, fragmented, or rapidly evolving workflows. - Strong expertise in Order-to-Cash and Purchase-to-Pay processes. - Experience designing financial and operational control frameworks in technology, cloud infrastructure, SaaS, hyperscale infrastructure, or other consumption-based businesses. - Strong understanding of usage-based billing, metering, reconciliation, pricing, and consumption economics. - Track record of simplifying processes and reducing manual work through automation. - Experience partnering with Engineering, Data, Product, Finance, Accounting, and Procurement organizations. - Strong knowledge of ERP, billing, procurement, data, and financial systems. - Experience designing automated reconciliations and exception-management processes. - Familiarity with AI-enabled workflow automation, anomaly detection, and intelligent operations. - Familiarity with SOX, financial reporting controls, audit requirements, and accounting processes. - Ability to understand complex data flows and translate technical workflows into scalable business and financial processes. Preferred Experience - Experience operating in a high-growth AI, cloud infrastructure, hyperscaler, or technology company. - Experience with consumption-based revenue and cost models. - Familiarity with cloud providers and AI infrastructure vendors. - Experience implementing or scaling usage metering, billing, FinOps, procurement, reconciliation, or workflow platforms. - Experience leading large-scale process clean-up, transformation, and automation programs. What Success Looks Like The Head of Process & Controls will transform the operating environment in three stages: 1. Build the foundation Establish clear processes, ownership, controls, authoritative data, operating standards, and system accountability. 2. Clean up and stabilize Eliminate fragmented workflows, recurring discrepancies, unnecessary manual activities, inconsistent data, and control gaps. 3. Automate and scale Deploy automation and AI so routine activities, reconciliations, validations, and exception detection occur with minimal manual intervention. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Member of Technical Staff, Growth
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role We're building a new Product-Led Growth (PLG) team, and we're looking for a creative, high-agency product engineer to be one of its first engineers. You'll build Fireworks' growth platform: the systems and experiences that take a developer from first visit, to first successful API call, to a long-term, expanding customer. There's an early roadmap ready, but the market moves quickly, and you'll be expected to help diagnose customer problems, ideate on solutions, and experiment to find what works. The surface area includes signup, onboarding, docs, the API and playground, model choice, errors, pricing, billing, and lifecycle messaging, across inference, training, and the rest of the platform. Some of what's on the table: - Acquisition to product. Connect how developers discover Fireworks to what they do once they arrive, so every first experience feels built for them. - Activation and onboarding. Cut time to first working request. Useful errors, docs that match the product, the right default model, and a reason to come back. - Experimentation. Build the tools and habits that let the whole company test ideas fast and learn from them. - Trust at scale. Make getting started effortless while keeping the platform safe and reliable for everyone. - Monetization and expansion. Help developers grow with Fireworks, from first project to production scale. What You'll Do - Own developer outcomes end to end: find the problem, shape the solution, prototype, ship to production, instrument, and learn from the results. - Build the growth foundations the team doesn't have yet: event tracking, funnels, an experimentation framework, and lifecycle messaging. - Design and run experiments with rigor (clear hypotheses, the right metrics, honest readouts), and know when to ship an obvious win without a test. - Talk to developers directly. Watch them build, see where the first call fails, and bring that back as working code. - Craft polished, fast, accessible experiences on our marketing site and in the product. - Dig into funnel and cohort data to find the next bet, and communicate what you find clearly. - Work closely with product, design, marketing, data, and sales, so self-serve growth works alongside our sales-led motion. - Use AI coding tools to move quickly, while owning the quality of everything you ship. What We're Looking For - 5+ years building and shipping user-facing products, including real time on product or growth surfaces as a senior, staff, or founding engineer. - A track record of moving business metrics. You can point to specific numbers you changed and how. - Strong full-stack skills: TypeScript/React on the front end, plus backend services (Go a plus), APIs, data models, and SQL. - A product engineer mindset. You define the problem and the solution, not just the implementation. - A designer's eye. You care about interaction details, copy, and how a flow feels, and you can make a technical product feel simple. - Hands-on experience with A/B testing, funnel analysis, and product analytics. - Genuine high agency. You've started things nobody asked you to, pushed them through without a mandate, and owned the result when it didn't work. - A bias toward action. You ship in days, not quarters, and you'd rather pick the right problem than wait to be assigned one. - Comfort in ambiguity, and the ability to lead without authority across product, design, marketing, and data. - Clear written and verbal communication with engineers and non-engineers. - A Bachelor's or Master's degree in CS, EE, or equivalent experience. Nice to Have - Growth, activation, or monetization experience at a developer-tools, API, or infra company. - Experience building developer-facing products (APIs, SDKs, dev tools, consoles). - Experience with consumption or usage-based pricing and billing. - Experience building PLG or self-serve inside a company that also sells top-down. - Experience with trust & safety or identity systems. - You've built with LLM APIs and have opinions on what great developer onboarding for AI looks like. - A portfolio, side projects, or launches that show your taste and range. Non-traditional paths welcome. We care about what you've shipped and the judgment behind it. How We'll Evaluate We'll look closely at work you personally identified, built, and shipped, and what you learned after launch. Come ready to walk us through a time you saw a problem no one owned, decided to fix it, and drove it to a measurable outcome. Expect a practical product and engineering exercise, not pure algorithm puzzles. Fireworks AI is an equal opportunity employer. We encourage you to apply even if you don't meet every qualification. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Staff+ Fullstack Software Engineer, Safeguards Eng...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Note: this job post is for Fullstack Software Engineers only. If you are a Backend Engineer, please see our Backend Software Engineer post here . About the role We are looking for fullstack software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: - Design and build the internal review tools analysts use to investigate abuse — dashboards, case queues, and evidence viewers that make high-volume, high-stakes decisions fast and accurate. - Build the interfaces where humans supervise agents: streaming output, interruption and approval flows, and clear provenance for every action an agent takes. - Surface abuse patterns to our research teams through the visualizations and exploration tools that make emerging patterns legible. - Own the frontend architecture for tools handling sensitive data at scale — performance under large datasets, correctness under real-time updates, and access controls enforced end to end. You may be a good fit if you have: - A Bachelor’s degree in Computer Science, Software Engineering or comparable experience - Proficiency in TypeScript and modern React; comfortable in Python for backend work - The ability to work across the stack - Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: - 8+ years of experience in a software engineering position, not including internships or co-ops - Have experience building data-dense internal tools or operator interfaces, not just marketing or consumer surfaces - Have experience with integrity, spam, fraud, or abuse detection and mitigation - Have experience building trust and safety detection mechanisms and intervention for AI/ML systems - Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs - Have worked closely with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Research Engineer - Eval Platform
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role Evaluation is how we decide which models, checkpoints and recipes ship. As a Research Engineer on the Eval Platform team, you will build the infrastructure every science team relies on to measure model quality, and make it reliable, reproducible and fast. You don't need to have designed benchmarks before. You do need to care about what a score means, and about when a difference between two runs is real. What you will do - Build systems that keep eval results reproducible and comparable over time, as models, benchmarks and code evolve. - Run evaluations at scale across our GPU clusters, from model serving to scoring. - Make eval results easy to access, explore and trust, through APIs and dashboards that researchers use every day. - Catch broken or noisy evals before they mislead research decisions. - Support evaluation of agentic, multi-turn and tool-using models. - Work closely with researchers to turn new evaluation needs into robust, shared tooling. What we're looking for - Master's or PhD in Computer Science, or equivalent experience. - 4+ years building production-grade software, ideally large-scale ML codebases or distributed systems. - Excellent Python and strong software-design instincts: testing, code review, CI/CD. - Experience running workloads on GPU clusters (Slurm, Kubernetes, Ray or similar). - Familiarity with LLM inference and evaluation. - A product mindset: researchers are your users. - Self-starter, low-ego, collaborative. Nice to have - Experience building or maintaining evaluation harnesses or benchmarks. - Hands-on experience with inference engines such as vLLM or SGLang. - Experience with agentic or RL environments. - Statistics for experimentation: variance estimation, significance testing. - Open-source contributions to ML tooling. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Senior Privacy Specialist
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the role We're hiring a Senior Privacy Specialist to be our privacy presence in the UK and EU as Fireworks scales its European footprint. We've achieved ISO 27001, ISO 27701, ISO 42001, and SOC 2 Type II, and we operate active UK GDPR, EU GDPR, and CCPA programs. You'll be our senior privacy point of contact for the UK and EU - the person who fields supervisory authority correspondence and owns the operational processes that keep our UK GDPR, EU GDPR, and Data Protection Act 2018 obligations met. You'll report to our Privacy Lead and work as part of a small global privacy team, with real autonomy over the UK/EU side of the program. This is a hands-on senior individual contributor role, and an advisory one. You'll be the privacy judgment in the room for the UK and EU: the person engineers, sales, and legal come to before they ship, sign, or answer. Who this role is for We're building a privacy function that punches well above its headcount. That shapes who succeeds here: - You've operated and built under ambiguity. You're used to being the one who owns it, and you've built structures where none existed rather than inheriting someone else's. - You build systems, not queues. You've used AI tooling, automation platforms, scripting, or workflow engines to take manual privacy work off the table - and you're excited to do more of that utilizing cutting-edge technology. - You take a project and finish it. You don't need prescriptive instructions or hand-holding - you spot what's broken, scope it, own it until completion, and socialize it within the organization. - You take extreme ownership. When something in your area goes wrong, you own it, fix it, and make sure it can't happen the same way twice - without waiting to be asked and without pointing fingers. What you'll do - Act as our senior privacy point of contact for the UK and EU: first line for the ICO and EU supervisory authorities, handling regulator correspondence and inquiries with support from our Privacy Lead and Legal. - Be the standing privacy advisor for the region: guidance to product, engineering, GTM, and Legal on what UK/EU law permits, where the grey areas are, and what risk you're recommending we accept. - Own UK/EU data subject rights outcomes: statutory deadlines, scope and exemption decisions, edge cases, and the regional record. - Own cross-border transfer compliance: UK IDTA and Addendum, EU SCCs, adequacy analysis, and Transfer Impact Assessments for vendors, sub-processors, and intra-group flows. - Lead breach assessment and notification for UK/EU: triage, 72-hour notification decisions, regulator and data subject communications, and post-incident follow-through with Security and Legal. - Embed privacy-by-design into how we build: review new products, features, models, and vendors for privacy risk, and give engineering and product teams guidance they can act on. - Partner with our AI governance work on privacy in model training, fine-tuning, and inference - data minimization, purpose limitation, customer data handling, and emerging EU AI Act obligations. - Keep the UK/EU privacy notice and policy library accurate, practical, and aligned to what we actually do and our regulatory obligations. - Take on additional privacy projects as the program evolves; we're a growing team with dynamic priorities. How the role will grow As the program matures and our European footprint expands, you'll have the opportunity to: - Regional ownership - take on privacy for additional jurisdictions as we enter new markets, and shape our approach to emerging regimes. - Advisory reach - become the privacy voice in the highest-stakes decisions: new markets, new product categories, regulator engagement, and AI Act readiness. - Program ownership - take a hand in setting program direction, roadmap, and strategy. What we're looking for - 5-7 years of experience in privacy or data protection, with meaningful time in a tech, SaaS, or cloud company. - Deep, hands-on working knowledge of UK GDPR, EU GDPR, and the Data Protection Act 2018 - you've been a key player in a program complying with these regimes, not just worked on a small portion of one. - Experience as the sole or primary privacy owner for a region, product, or company; you're comfortable without a large team around you. - Track record running DPIAs and DSARs hands-on, and advising product and engineering teams on privacy-by-design. - Direct experience with international transfer mechanisms (UK IDTA, SCCs, adequacy, TIAs) and the judgment to apply them to real vendor and architecture decisions. - Some exposure to a supervisory authority - whether as a DPO, deputy, or otherwise. - Excellent communication; you work confidently across engineering, legal, sales, and executive audiences, and you can turn regulatory requirements into clear guidance. - Comfort with low-code automation and LLM-based tooling - enough to specify, evaluate, and get hands-on with the systems that run your program. - Based in the EU/UK with the right to work in those geographies. Nice to have - Privacy certifications (CIPP/E, CIPM, CIPT, FIP). - Experience with privacy tooling (OneTrust, TrustArc, Transcend, DataGrail, Securiti, or similar) - especially if you've pushed one past its out-of-the-box limits. - Exposure to ISO 42001, AI/ML data governance, model training data considerations, or the EU AI Act. - Experience standing up a privacy function in-region at a growth-stage company. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Privacy Program Engineer
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the role We're looking for a Privacy Program Engineer to own the technical core of our privacy program. We've achieved ISO 27001, ISO 27701, ISO 42001, and SOC 2 Type II, and we run active GDPR and CCPA/CPRA programs - now we need someone to run the machinery that keeps all of it working, and to make that machinery largely run itself. This is a privacy role with real technical depth - you'll write scripts, queries, and automation. From day one you'll own real workstreams: data subject requests, the data inventory and ROPA, hands-on privacy reviews for new vendors and features.. You'll report to our Privacy Lead and be a key owner of large portions of our privacy program, as well as the key technical expert on the privacy team. This is not a ticket queue with a title. We're a small team at a company that builds AI infrastructure, and we intend to leverage it - you'll own the direction and design of the technical systems, automations, and tools that help us meet our privacy obligations at Fireworks. Who this role is for - You build systems, not queues. You've used AI tooling, automation, scripting, or workflow platforms to eliminate manual privacy work. - You're technical enough to be dangerous. You read code to understand what a service actually does with data. You can query a database without asking for help. You've automated something real with code, a workflow engine, or an LLM-based agent and you know how to build scalable tools running against production systems and data. - You take a project and run with it. Given a rough problem and a deadline, you come back with it done. You’re not afraid to make tactical decisions and judgement calls. - You take extreme ownership. You're comfortable owning something outright and figuring it out - your workstreams are yours. You surface problems early, fix them, and make sure they don't recur. What you'll do - Build the privacy automation layer: scripts, scheduled jobs, API integrations, and LLM-based agents that handle request routing, evidence collection, assessment intake, and control monitoring. - Own the data subject rights (DSR) program and the system behind it: build the intake, identity verification, fan-out across data stores, and fulfillment tracking as an automated pipeline rather than a checklist, with the audit trail generated as a byproduct. - Build and maintain a data inventory and ROPA that derives from the environment rather than from interviews: pull from cloud APIs, warehouse metadata, IaC, and service catalogs so the map updates when the systems do, and reconcile drift. - Embed privacy into how we build: review designs and PRs for data handling, advise on de-identification, pseudonymization, tokenization, field-level encryption, and access scoping, and give engineers a concrete pattern to use rather than a policy to read. - Own retention and deletion as an engineering problem: translate retention requirements into concrete rules per data store, work with engineering on enforcement in pipelines and backups, and build the verification that proves deletion actually happened. - Support consent management and preference handling across our web properties and product surfaces. - Solve AI data problems directly: trace how customer data moves through training, fine-tuning, inference, and logging; validate zero-retention and isolation claims against what the platform actually does; and build the checks that keep those claims true as the platform changes. - Take on additional privacy projects as the program evolves; we're a growing team with dynamic priorities. How the role will grow - Process ownership - move from operating established processes to owning entire workstreams end to end. - Automation ownership - take the lead on privacy tooling and agent design as the program's automation surface grows. - Advisory depth - advise product and engineering teams directly on technical privacy-by-design decisions. - Growing influence - represent privacy in cross-functional projects, be the go-to technical privacy SME, and help shape where the program goes next. What we're looking for - 4–7 years of experience in privacy, GRC, IT audit, information security, or a closely related field, with meaningful hands-on privacy work. - Working knowledge of GDPR and CCPA/CPRA, and familiarity with ISO 27701, ISO 27001, ISO 42001, SOC 2, and NIST. - Hands-on experience with technical privacy operations: data subject requests, ROPA or data inventory maintenance, privacy impact assessments, or retention enforcement. - Evidence that you automate your own work - AI tooling, scripts, workflow builders, or aggressive use of a privacy/GRC platform's automation features. Tell us what you built and what it replaced. - Working proficiency in SQL and at least one scripting language - enough to query a warehouse, call an API, parse a schema, and automate a recurring task without help. - Hands-on familiarity with cloud environments (AWS, GCP, or Azure): IAM and access scoping, logging, data stores and their retention behavior, and how to find where data actually lives and how it’s used. - Strong written communication; you can translate privacy requirements into language engineers, customers, and non-technical employees understand. Nice to have - Built something with an LLM API or agent framework that other people relied on. - Experience with de-identification or synthetic data techniques. - Exposure to data lineage or catalog tooling (dbt, DataHub, Atlan, Monte Carlo, OpenMetadata). - Worked on a privacy or security problem at an AI/ML company specifically - model data flows, inference logging, training data provenance. - Startup or fast-growing SaaS background. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Applied AI, Technical Lead, Forward Deployed AI En...
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job: Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision. What you will do - Deliver as an IC the critical lines of codes of our complex projects , you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers , providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales , translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems , including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI , evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle. How We Work in Applied AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. About you - You are fluent in English. - You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field. - You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions. - You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation. - You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. - You are proficient in Python, PyTorch , and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. - You have strong software engineering skills , including API design, backend/full-stack development, and system architecture. - You excel in technical communication , with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers. - You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent. Ideally, you have: - Contributed to open-source projects, particularly in the LLM or AI space. - Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption. - A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities. Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Applied AI, Technical Lead, Forward Deployed AI En...
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job: Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision. What you will do - Deliver as an IC the critical lines of codes of our complex projects , you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers , providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales , translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems , including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI , evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle. How We Work in Applied AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. About you - You are fluent in English. - You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field. - You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions. - You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation. - You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. - You are proficient in Python, PyTorch , and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. - You have strong software engineering skills , including API design, backend/full-stack development, and system architecture. - You excel in technical communication , with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers. - You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent. Ideally, you have: - Contributed to open-source projects, particularly in the LLM or AI space. - Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption. - A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities. Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Applied AI, Forward Deployed Machine Learning Engi...
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact. Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. By joining the team you'll will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision. What you will do - You’ll individually help deploy into production use cases with a considerable business impact across various industries. - You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. - You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning. - You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. - Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback How We Work in Applied AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. About you - You are fluent in English - You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products - You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces. - You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases - You have deep understanding of concepts and algorithms underlying machine learning and LLMs - You have strong technical coding skills in Python - You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences Ideally you have: - Contributed to open-source projects in particular in the space of LLMs - Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager - You have experience with deep learning with Pytorch Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Applied AI, Forward Deployed Machine Learning Engi...
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact. Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. By joining the team you'll will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision. What you will do - You’ll individually help deploy into production use cases with a considerable business impact across various industries. - You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. - You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning. - You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. - Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback How We Work in Applied AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. About you - You are fluent in English - You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products - You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces. - You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases - You have deep understanding of concepts and algorithms underlying machine learning and LLMs - You have strong technical coding skills in Python - You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences Ideally you have: - Contributed to open-source projects in particular in the space of LLMs - Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager - You have experience with deep learning with Pytorch Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Machine Learning Engineer, Radar
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 Radar ML team builds the fraud detection models that protect Stripe's $1.9 trillion payment network from fraud. The team owns 10 real-time deep learning models that must constantly evolve to stay ahead of fraudsters. Each ML improvement translates directly into dollar impact for Stripe and its users. The team's models also power the Radar product suite that tens of thousands of businesses use to screen payments and manage fraud. Radar is growing fast, and the team is actively building new products to protect against AI token theft, free trial abuse, and scripted attacks. What you’ll do In this role, you will own ML work across the full lifecycle: researching new fraud patterns, building and deploying models, and sharing results directly with top Stripe customers. You will have opportunities to optimize Stripe’s most intensive ML models, and opportunities to ship 0-to-1 products from scratch. Responsibilities - Build, train, evaluate, and deploy ML models that detect fraud across Stripe’s global payments network - Research emerging fraud patterns like token theft and develop ML solutions to address them - Apply advances in deep learning to improve model quality and detection rates at scale - Co-build new fraud and abuse products directly with top users Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - 2+ years of experience training, evaluating, and deploying ML models in a production environment - Proficiency in Python and common data and ML frameworks like SQL, Spark, and PyTorch - Strong knowledge of production ML systems; and data analysis, statistics, and experiment design fundamentals - Active interest in the latest ML developments, and how they can be leveraged to solve business problems Preferred qualifications - Strong software engineering skills and ability to design ML solutions through entire product stack - Experience building and optimizing real-time, low-latency ML infrastructure at scale - Experience applying ML to fraud detection, integrity, trust and safety, or a closely related domain
AI Engineer
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 (SA) organization helps Stripe's most strategic customers design and validate technical solutions that drive their business forward. Within SA, our team builds the tools, workflows, and custom technical assets that make the broader SA org more effective—turning individual ingenuity into org-wide capability. We are looking for AI Engineers who are energized by working close to the business and the users we serve. You'll operate as an embedded, high-context engineer focused on the highest-leverage opportunities across the SA org—building production-quality tooling, supporting our most strategic engagements, and shipping automation that meaningfully improves how Solutions Architects work every day. What You'll Do As an AI Engineer, you'll be embedded directly with the Solutions Architecture team—building alongside them, deeply understanding their workflows, and shipping tools and automation that permanently change how they operate. Your measure of success is SA productivity: the engagements you've accelerated, the workflows you've transformed, and the tools you've built that the org adopts as default. You'll ship code daily. You'll discover where SAs lose time and build high-impact solutions. You'll take what works for one person and scale it to work for the org. And when our most strategic customer engagements need custom technical assets, you'll build those too. This is a role for someone who wants to work at the intersection of engineering and business impact—close to customers, close to revenue, and building for people you can see using your work every day. Responsibilities - Collaborate with Solutions Architects, SA leadership, Product, and Engineering to scope technical work and translate ambiguous business needs into well-defined deliverables - Evaluate and integrate AI capabilities (LLMs, agents, workflow automation) where they provide genuine leverage—not for novelty, but for measurable productivity improvement - Architect and build internal tools, agents, and automated workflows that accelerate SA and manager productivity across technical discovery, solution design, demoing, user engagements, territory/pipeline management, and product interlock - Take high-potential tools and workflows built by SAs and managers and harden them into scalable, maintainable, production-grade solutions - Identify patterns across SA workflows and proactively build solutions that address recurring friction - Build custom demo environments, PoC applications, and technical assets for Stripe's most strategic customer engagements - Document tools, architectures, and usage patterns so others can adopt and extend what you've built - Debug, extend, and maintain backend systems across a variety of codebases and infrastructure Minimum Requirements - 4+ years of experience as an engineer shipping production systems - Strong backend engineering fundamentals: you can debug a failing system, trace issues across services, and reason about data flows - Experience building and deploying AI agents, LLM-powered tools, or workflow automation beyond basic prompt engineering - Experience scoping and delivering work with minimal oversight in a fast-moving, cross-functional environment - Proficiency in at least two of: Ruby, Node.js, Python, or Next.js - Familiarity with cloud infrastructure (AWS, GCP) including deployment, monitoring, and basic DevOps - Experience building internal tools, developer platforms, or workflow automation - Demonstrated ability to work across multiple codebases and technology stacks simultaneously - Hands-on experience using AI/LLM tools in your engineering workflow—you're fluent with AI-assisted development but not dependent on it; you can reason through problems and debug without AI as a crutch - Strong written and verbal communication skills; you can translate technical decisions for non-technical stakeholders and navigate cross-functional collaboration naturally - Comfort with ambiguity—you can take a loosely-defined business problem, scope the engineering work, and ship iteratively without waiting for a perfect spec Preferred Qualifications - Experience designing systems that non-engineers can build on top of or extend themselves (e.g., platforms, low-code frameworks, template systems) - Experience in a Solutions Engineering, Sales Engineering, or GTM Engineering role—or a product engineering role where you worked closely with customers or go-to-market teams - Familiarity with Stripe's products, APIs, or the payments/fintech domain - Experience integrating with third-party platforms (Salesforce, Gong, etc.) - Track record of building tools or systems that were adopted beyond your immediate team - Background in consulting, professional services, or other roles that blend technical depth with business context Who You Are Beyond the technical requirements, we're looking for a specific kind of engineer: - You want to be close to the business. You're energized by seeing your work directly impact how a sales team wins a deal or how a customer succeeds. - You're a pragmatic builder. You ship working solutions quickly, iterate based on real usage, and know when "good enough now" beats "perfect later." You'd rather show a working prototype today than present a roadmap deck next quarter. - You're a software engineer by practice. You can architect systems, debug production issues, write clean code, and reason about tradeoffs. AI is a tool in your belt, not a substitute for engineering judgment. - You're a pattern recognizer. When you build something that works for one person, you immediately see how it generalizes. You think in reusable systems, not one-off scripts. - You thrive without a traditional product team structure. No PRDs landing in your lap, no dedicated PM, no sprint ceremonies. You identify the highest-leverage problem, scope the work, and ship it. You're comfortable trading on-call rotations and rigid processes for autonomy and impact. - You're a strong communicator. You can partner with SAs who are domain experts, understand their workflows deeply enough to build great tools, and explain your technical choices to leadership.
Staff Research Scientist - Post-Training for Agent...
As a Staff Research Scientist within Datadog AI Research (DAIR), you will drive research in post-training and autonomous agents as a hands-on individual contributor. You will advance reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating across complex real-world systems. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with Datadog's product and engineering teams to translate research advances into products. What You'll Do: - Drive research in agent post-training and reinforcement learning, shaping the technical direction of ambitious research programs grounded in observability and security - Own research problems end to end, from framing the question through experimentation, model development, and evaluation - Design and advance reinforcement learning approaches, post-training methods, and training loops for agents operating in complex environments - Build simulated environments, synthetic data generation approaches, and evaluation frameworks that enable scalable agent training and rigorous measurement - Raise the technical bar across the team by reviewing research directions, mentoring researchers and research engineers, and setting standards for experimental rigor - Collaborate with cross-functional teams across Research, Product, and Engineering to translate advances in autonomous agents into scalable Datadog capabilities - Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks Who You Are: - You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as reinforcement learning, AI agents, post-training, or generative modeling - You have driven technically ambitious research at meaningful scale as an individual contributor, whether in an industry research lab, startup, academic environment, or another research setting - You have extensive hands-on experience designing and implementing reinforcement learning systems, agent training methods, simulated environments, synthetic data pipelines, or evaluation frameworks - You have a track record of research impact through influential publications, significant model or system contributions, widely used research artifacts, or equivalent technical achievements - You set technical direction through influence rather than authority, and you have mentored other researchers or engineers and elevated the quality of work around you - You want to stay deeply hands-on in research for the long term, and you can communicate complex research findings effectively across technical and non-technical audiences Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Your Privacy: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $320,000 - $400,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .
Staff Research Scientist - Foundation & World Mode...
As a Staff Research Scientist within Datadog AI Research (DAIR), you will drive research in foundation models and world models as a hands-on individual contributor. You will advance large-scale pre-training and multimodal learning across the diverse signals generated by distributed systems, including metrics, traces, logs, topology, and events. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with Datadog's product and engineering teams to translate research advances into products. What You'll Do: - Drive research in foundation models, world models, and multimodal learning, shaping the technical direction of ambitious research programs grounded in observability - Own research problems end to end, from framing the question through experimentation, model development, and evaluation - Train large-scale multimodal models on diverse telemetry data, including metrics, logs, traces, topology, events, and other non-text modalities - Advance approaches to pre-training, representation learning, world modeling, scaling, and evaluation for models that learn the dynamics of complex distributed systems - Raise the technical bar across the team by reviewing research directions, mentoring researchers and research engineers, and setting standards for experimental rigor - Collaborate with cross-functional teams across Research, Product, and Engineering to translate research advances into scalable Datadog capabilities - Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks Who You Are: - You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as foundation models, world models, multimodal learning, or generative modeling - You have driven technically ambitious research at meaningful scale as an individual contributor, whether in an industry research lab, startup, academic environment, or another research setting - You have extensive hands-on experience designing, training, and evaluating large-scale deep learning models (such as large language models), with experience in multimodal or non-text data considered a strong plus - You have a track record of research impact through influential publications, significant model or system contributions, widely used research artifacts, or equivalent technical achievements - You set technical direction through influence rather than authority, and you have mentored other researchers or engineers and elevated the quality of work around you - You want to stay deeply hands-on in research for the long term, and you can communicate complex research findings effectively across technical and non-technical audiences Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Your Privacy: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $320,000 - $400,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .
Software Engineer I (Frontend, AI Platform)
Software Engineer I (Frontend, AI Platform) at WHOOP. Femtech Insider network role. Industry tags: Analytics, Consumer Electronics, Consumer Goods, Fitness, Hardware, Health Care, Personal Health, Software, Sports, Wearables, Wellness. Skills: JavaScript (Programming Language), TypeScript, HTML5, CSS Codes, React.js, Next.js, Tailwind CSS. Locations: Boston, MA, USA. Work mode: on site.
Senior Product Manager, Roblox Conversational Plat...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Conversational Platform team builds the AI-powered support experiences that help players, parents and creators get answers and resolve issues quickly, along with the reusable platform that brings this capability to teams and creators across Roblox. As Senior Product Manager for Roblox Conversational Platform, you will own the product for all Roblox support experiences and build the conversational intelligence layer that automates customer support at Roblox scale. You will turn that technology into reusable platform components that other teams across the company can adopt, and extend it to our creator community so developers can support their own players with bug reports, feature requests, refunds, and more. The same platform will also power support for creators on Creator Platform issues. You will lead large, cross-team initiatives, partnering deeply with Engineering, ML, Design, Data Science, Customer Support Operations, and Creator teams, and raise the bar for product excellence across the organization. You will: - Define and own the end-to-end product strategy for Roblox support experiences across web, mobile, and in-experience surfaces, serving players, parents, and creators. - Build the conversational intelligence layer that automates customer support, including LLM-powered agents, intent understanding, knowledge retrieval, and secure integrations that let agents take action on a user's behalf, such as account recovery, purchase issues, and refunds. - Platformize the technology by designing reusable components such as agent orchestration, knowledge management, tool and action frameworks, evaluation and quality tooling, and human handoff, so other teams across Roblox can build their own conversational experiences on top of it. - Extend the platform to the creator community, giving developers the tools to support their own player base with bug reports, feature requests, refunds, and more. - Bring the platform to creator support, using it to resolve Creator Platform issues for the developers building on Roblox. - Set the quality bar and success metrics, such as automated resolution rate, accuracy, CSAT, time to resolution, and cost per contact, and build the evaluation and experimentation practices to improve them over time. - Partner deeply with Engineering, ML, Design, Data Science, Customer Support Operations, Trust & Safety, Legal, and Creator teams to deliver reliable, safe, and helpful support experiences. - Represent Conversational Platform in senior forums, driving alignment on strategy, tradeoffs, and platform adoption through clear written narratives and data-driven reviews. You have: - 5-8+ years of product management experience, with significant time spent on conversational AI, customer support or CX technology, or AI/ML platform products. - Hands-on experience shipping LLM-powered products in production, such as AI agents, chatbots, retrieval-augmented generation, or classification systems, including how to evaluate and improve model quality over time. - A proven track record building platforms: reusable APIs, services, or components adopted by multiple internal or external teams. - Strong technical depth and experience partnering with ML and infrastructure engineers on system architecture, model tradeoffs across quality, latency, and cost, and integrations with backend systems. - Familiarity with customer support operations and tooling, including ticketing and case management, agent workflows, knowledge bases, and the metrics that drive them. - Experience operating at a senior scope, setting strategy for a major product area, leading cross-org initiatives, and influencing senior stakeholders. - Expert written and verbal communication skills, with the ability to build clear narratives, efficiently drive alignment across teams, and make thoughtful, data-informed decisions. - Bonus: experience building for developer or creator ecosystems, or for products used by younger audiences. You are: - Customer-obsessed, with a deep understanding of what it feels like to be a player locked out of an account, a parent with a safety concern, or a creator whose experience is broken, and motivated to resolve their issues quickly and with care. - A platform thinker who designs for reuse and connects today's support needs to a long-term vision for conversational intelligence across Roblox. - Safety- and quality-minded, holding a high bar for accuracy, privacy, and responsible AI, and clear on when automation should hand off to a person. - Comfortable with ambiguity, able to bring structure and clarity to a fast-moving AI space without waiting for perfect information. - A trusted cross-functional partner who builds strong relationships with Engineering, ML, Design, Data, and Operations teams and works through complex tradeoffs together. - Calm and decisive under pressure, able to balance short-term execution with long-term strategic bets. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $280,540 - $330,950 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Programmer, AI and Creation Tools
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. PROGRAMMING - UNREAL ENGINE What We Do Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of programming experts are always innovating to improve the tools and technology that empower content developers worldwide. What You'll Do We're looking for a Senior Tools Programmer to evolve artist tools within the Unreal Editor, particularly in geometry and texturing processing, terrain authoring, and procedural generation. An important aspect of this role is supporting both user-driven and agentic workflows, including exploring and implementing new interaction paradigms to accelerate content creation. You'll directly impact artist productivity by developing user-facing tools for one of the leading game engines used by developers worldwide. In this role, you will - Support and extend existing artist tools for internal and external users - Refactor existing tools to be more accessible and effective for agentic workflows - Create new tools at the intersection of user-driven and agent-driven content creation - Collaborate with artists on internal projects and productions - Work with other developers across team boundaries on shared initiatives - Contribute to major initiatives that shape the future of the Unreal Editor What we're looking for - Excellent C++ skills - Strong background in developing artist tools within the games or film industry - Experience with geometry processing, texture processing, or procedural generation - Fluency in using current agentic tools and workflows for programming tasks - Track record of exploring and applying AI capabilities to advance artist workflows - Experience developing in a large codebase - Ability to work independently and deliver effectively as part of a distributed team - Experience working collaboratively to deliver high-quality outcomes across teams EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .
Staff Data Scientist
At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK We're looking for a Staff Data Scientist to be the technical lead across Ripple's diverse product and business portfolio. You'll define the analytics vision, build the scientific frameworks the org uses to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of analytics across the company. In this role, you'll partner with product and business leads to frame the most important questions, set the analytical bar, and ensure decisions across surfaces rest on a consistent, thorough foundation. You'll operate as a force multiplier -- solving the hardest problems, building the frameworks others reuse, and leveling up data scientists across teams. WHAT YOU'LL DO - Be the DS tech lead across multiple product and business teams: setting methodological standards and unblocking the hardest analytical problems across areas including Payments, Stablecoin & Custody products. - Partner with product and business leads to define analytics strategy : shaping which initiatives to invest in, what success looks like, and how we'll know. - Build the scientific frameworks Ripple reuses at scale : product and network health metrics, causal inference playbooks, liquidity and adoption models, and forecasting approaches that work across institutional and developer surfaces. - Pioneer AI-accelerated analytics : applying LLMs and agentic workflows to scale insight generation, automate routine analysis, and enable self-serve exploration for non-DS partners. - Drive evidence-based evaluation of growth across customers, corridors, and on-chain activity, surfacing the causal drivers behind adoption and volume. - Define and communicate the metrics leadership runs on : translating complex results into clear narratives for Ripple executives and external stakeholders. - Raise the bar for the DS function through thought leadership and mentorship across embedded teams. WHAT YOU'LL BRING - 8+ years in data science or quantitative analysis, with a track record of senior level impact across multiple teams. - Demonstrated technical leadership across cross-functional teams , influencing roadmaps and strategy at both executive and execution levels. - Proven experience designing reusable analytics and measurement frameworks that scale across products. - Hands-on experience applying AI to accelerate analytics workflows (agentic analysis, AI-assisted insight generation, natural-language data interfaces). - Deep expertise in experimentation, causal inference, forecasting, and statistical modeling in a product environment. - Expertise in Python or R, fluency in SQL, and experience with large-scale data tech (Databricks, Airflow, dBT a plus). - Experience with FinTech, payments, crypto, or blockchain data is a strong plus. - Advanced degree (MS, PhD) in a quantitative field preferred. - Exceptional communication skills — able to turn technical depth into executive-ready narratives. For positions that will be based in CA, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions. CA Annual Base Salary Range $212,000 - $265,000 USD WHO WE ARE: Do Your Best Work - The opportunity to build in a fast-paced start-up environment with experienced industry leaders - A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. - Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. - In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. - Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team - We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances - Competitive salary, bonuses, and equity - Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support - Employee giving match - Mobile phone stipend Take Care of Yourself - R&R days so you can rest and recharge - Generous wellness reimbursement and weekly onsite & virtual programming - Generous vacation policy - work with your manager to take time off when you need it - Industry-leading parental leave policies. Family planning benefits. - Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our California, UK/EU, Singapore, DIFC, ADGM, Australia, and Switzerland Applicant Privacy Notice for reference.
Staff Product Manager, Moderation
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . What You'll Do: Reddit is a community of communities, built around the conversations, interests, and experiences people share with one another. Moderators are the heart of that ecosystem: they shape community norms, keep spaces healthy, and help communities grow. As Reddit continues to scale globally, this role will help define how we support moderators, reduce the burden of running healthy communities, and evolve moderation from reactive manual work into proactive, intelligent systems. We are looking for a Staff Product Manager to help define the future of moderation on Reddit. This is a rare opportunity to lead zero-to-one product work at the intersection of user-facing experience, community governance, and cutting-edge LLM systems. You will help Reddit move beyond legacy moderation approaches toward proactive, intelligent, and scalable community enforcement. This role is for a PM with exceptional product judgment, strong user intuition, and enough AI/ML depth to partner closely with Engineering, Data Science, Design, and Safety. The right person can shape compelling user experiences, reason about model quality and tradeoffs, and create clarity in a high-stakes, high-visibility space where the product, technical, and ecosystem decisions all matter. Responsibilities - Identify Reddit’s highest-impact opportunities to evolve evolve community enforcement and moderator workflows, and turn them into a clear product strategy and roadmap. - Lead zero-to-one development of LLM-powered moderation experiences that are critical to how Reddit scales healthy communities globally. - Build a deep understanding of moderators, community members, and healthy community dynamics, and translate those insights into high-quality product experiences. - Define success metrics and model/product evaluation criteria that connect user value, community health, and Reddit’s broader strategy. - Reason about AI/ML quality, including precision, recall, error costs, coverage, latency, failure modes, human review, and feedback loops. - Assess high-stakes ecosystem tradeoffs across community health, moderator trust, user trust, safety, and product quality. - Partner with Engineering, Data Science/ML, Design, Safety, Consumer, and senior leaders to drive execution in a highly visible company priority. - Communicate strategy, decisions, tradeoffs, and learning clearly to executive stakeholders. Must Haves: - Staff-level product experience owning meaningful consumer surfaces or systems with measurable user impact. - Exceptional product sense across user intuition, problem framing, prioritization, UX judgment, and product taste. - Track record leading ambiguous zero-to-one or major product-evolution work from strategy through launch and learning. - Experience building AI/ML-powered products, with fluency in model evaluation and product/model tradeoffs. - Strong analytical judgment, including defining metrics, interpreting evidence, and changing direction when needed. - Excellent cross-functional leadership with Engineering, Data Science/ML, Design, Safety, and partner teams in ambiguous, technically complex spaces. Nice-to-Haves: - Experience with community, social, creator, UGC, trust/safety, or moderation products. - Experience with ML-heavy consumer surfaces or policy-sensitive AI experiences. - Experience replacing mature systems with a new product paradigm in complex, matrixed organizations. Benefits: - Comprehensive Healthcare Benefits and Income Replacement Programs - 401k with Employer Match - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 - $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Senior Brand Designer
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. About the role We are looking for a Senior Brand Designer to help shape how SpaceXAI shows up in the world. This role is built for someone who has built brand systems in fast-moving environments, cares deeply about craft, and brings an AI-first mindset to how creative work gets made. You’ll join the Brand Studio, the team behind the brand across the entire SpaceXAI ecosystem (from Grok and Grok Bot to X), and help shape both the brand system itself and how it comes to life in our campaigns. This is a hands-on role. Much of the foundation is still being built, so you’ll spend real time designing and making things yourself. It also comes with significant ownership: you’ll lead projects from first concept through final execution, and your work will help set the bar for how the brand evolves. What you’ll do - Brand system: Evolve and extend the visual identity (logo, typography, color, layout, imagery, and graphic language) and document it so other teams can apply it correctly. - Workflows & toolkits: Turn recurring design work into repeatable, AI-assisted workflows: templates, tools, and generators that let marketing, product, and other teams produce on-brand work without you in the room. - Campaigns: Concept and design campaigns end to end, from first idea through final production, across key visuals, launch assets, web, social, paid, out-of-home, and print. - Creative direction: Direct agencies and freelancers with clear briefs and candid feedback so the output meets the bar you’d set yourself. - Collaboration: Partner with marketing, product, engineering, and leadership; bring a brand point of view to new surfaces as they appear, and present your thinking clearly to senior stakeholders. - Range at speed: Move between projects quickly while holding a consistently high bar, and keep improving the process, not just the output. What you bring - 6+ years of brand design experience, in-house or at an agency or studio. - Fluency in AI coding tools, especially Cursor. You can build your own tools, scripts, prototypes, and simple web pages instead of waiting on engineering. - A portfolio that shows both brand system work and shipped campaigns. Bonus if it includes tools or workflows you built. - Sharp typography, layout, and art direction instincts. - A systems mindset: you naturally turn one-off tasks into reusable processes and think about how creative work scales. - Conviction in your design decisions and the ability to explain why they matter, to designers, marketers, and leadership alike. - Fluency in Figma and Adobe Creative Cloud. - Self-directed, fast, and energized by variety and ambiguity. Nice to have - Experience building or relaunching a brand identity at a fast-growing tech company. - Motion sensibility, enough to design with motion in mind and direct motion designers. - Experience leading agencies on large, multi-channel campaigns.
Engineering Manager, Partnerships
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role We are seeking an experienced Engineering Leader to build the partnership engineering organization. In this role, you will lead and build a new team dedicated to the technically complex work we do with our Partners, turning that work into repeatable product features. You’ll work to scale the team as they grow, help prioritize and support work in a fast paced environment, and build a healthy team culture. This is a highly visible role with the opportunity to shape how Mistral’s technology is adopted globally and unlock large business opportunities What You Will Do - Remove obstacles and create an environment where your team can focus on building solutions. - Own the most critical partnerships of the company and what's required to make them a success. - Translate product vision into technical reality, collaborating closely with the Product team. - Ensure applications are performant, stable, and responsive. - Uphold high code quality standards through reviews, testing, and automation. - Own the full software development process, from design to deployment. - Plan projects, including roadmaps, deadlines, and task allocation. - Collaborate with stakeholders across Engineering, Product, and Design, and Partners. - Support team growth through hiring, onboarding, and mentorship. What We're Looking For - Experience building and managing engineering teams. - Proficiency in Python and at least one web framework (FastAPI, Django, Flask). - Proficiency in C#, Golang, TypeScript and at least one web framework. - Experience with large-scale distributed systems. - Experience working with cross-functional teams, such as Product, Design, and Business. - Strong problem-solving abilities and attention to detail. - Ownership mindset and ability to ship products end-to-end. - Excellent communication skills and a low-ego, team-first attitude. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Self-Serve Product Manager - ElevenCreative
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're hiring a Self-Serve PM to own the core ElevenCreative product experience for creators and marketers who sign up, subscribe, and build on their own. Self-serve users make up the majority of ElevenCreative's user base, and they use the platform to generate and edit speech, music, image, and video across 70+ languages. You'll own self-serve revenue, growth, and adoption for ElevenCreative, and use every lever available to move them. That includes how users discover what ElevenCreative can do, how they move from a first generation into agents, video, and multi-step creative workflows, and what keeps them coming back and upgrading. There's no shortage of things we could build. The job is defining the big bets, scoping them well, and shipping them quickly with the team. PMs at ElevenLabs work in small, highly collaborative teams with minimal process, alongside engineers who have room to build creatively and lead. The scope is broad by design. Some weeks lean toward product, others toward growth or go-to-market work, and you'll own whatever it takes to make ElevenCreative the best product for its users. What you'll do - Own self-serve revenue, growth, and adoption for ElevenCreative, pulling on product, pricing, onboarding, lifecycle, and go-to-market levers to drive results - Scope and define the big bets for the self-serve product across image, video, music, agents, and editing workflows - Find the biggest opportunities in the user journey through product data and user behavior, and turn them into clearly scoped projects - Drive adoption of newer experiences like agents and video, helping users expand from a single product into the full platform - Work with engineering and design to ship quickly, mocking up early concepts yourself when it speeds things up - Partner with growth, lifecycle, and social teams on launches and the moments that bring users into new parts of the product - Define success metrics for your area and track activation, engagement, retention, and conversion to paid plans - Talk to creators and marketers regularly to understand how they work and where the product falls short, and bring those insights back to the team Requirements - 5+ years of product management experience on consumer or self-serve products - A track record of owning revenue, growth, or adoption outcomes and driving them across multiple levers - Deep familiarity with the creative space and the creators and marketers who use these tools, with a habit of bringing user insights into every product decision - Experience scoping and defining large, ambiguous bets and owning them end to end - Design-minded, with a high bar for quality and user experience and the ability to mock up concepts yourself - Technical fluency to go deep with engineers on how things are built and the tradeoffs involved - Strong analytical skills and comfort in product analytics tools to find opportunities and measure impact - A track record of shipping quickly and iterating based on what the data shows - Ownership pedigree, meaning you drive your own projects fully rather than handing off after the spec - Curiosity about AI and creative tools, and close attention to how the space is moving LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Enterprise Product Manager - ElevenCreative
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're hiring an Enterprise PM to own the product experience for businesses using ElevenCreative. ElevenCreative helps creators and marketers generate and edit speech, music, image, and video across 70+ languages. A growing share of that usage comes from enterprise teams, including brands, agencies, studios, and media companies that roll it out across their organizations. You'll own enterprise revenue, growth, and adoption for ElevenCreative, and use every lever available to move them. That covers the admin, permissioning, and governance features large organizations need to deploy ElevenCreative across teams, as well as the enterprise products we're building on top of the platform, like our Ads Engine. You'll work directly with sales and customers to understand what's blocking deals and adoption, scope and define the big bets, and ship them. PMs at ElevenLabs work in small, highly collaborative teams with minimal process, alongside engineers who have room to build creatively and lead. The scope is broad by design. Some weeks lean toward product, others toward go-to-market or customer work, and you'll own whatever it takes to make ElevenCreative the best product for enterprise teams. What you'll do - Own enterprise revenue, growth, and adoption for ElevenCreative, pulling on product, pricing, packaging, go-to-market, and customer levers to drive results - Scope and define the big bets for enterprise, from discovery through launch and adoption - Build the admin and governance layer enterprises need, including role-based permissions, visibility into who has access to what, usage and spend controls, and reporting across teams - Partner with engineering to scope and ship enterprise products like Ads Engine, turning complex customer workflows into products that scale beyond a single account - Work with sales to triage feature requests and deal blockers, prioritize across them, and close the gap between what customers need and what we ship - Join customer conversations to understand how enterprise teams evaluate, buy, and roll out creative tooling, and bring those insights back into the roadmap - Define success metrics for enterprise features and track adoption, expansion, and retention across accounts - Work closely with engineering, design, sales, and growth to ship quickly and drive projects all the way through Requirements - 5+ years of product management experience, with recent experience owning enterprise or B2B product - A track record of owning revenue, growth, or adoption outcomes and driving them across multiple levers - Experience shipping enterprise capabilities such as admin, permissions, billing, or security, and driving adoption across large customer accounts - Deep familiarity with how creative, marketing, and media teams work, and a habit of bringing customer insights into every product decision - Experience scoping and defining large, ambiguous bets and owning them end to end - Experience working directly with sales and customers and turning a high volume of requests into a clear, prioritized roadmap - Design-minded, with a high bar for product quality and the ability to mock up concepts and workflows yourself - Technical fluency to go deep with engineers on architecture, integrations, and tradeoffs - Strong product judgment and a clear point of view on what to build and why - A bias toward shipping and iterating over long alignment cycles - Curiosity about AI and creative tools, and close attention to how the space is moving LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Direct Tax Lead
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're hiring a Direct Tax Lead to own our US income tax provision, compliance, and controls, reporting to the Head of Tax. ElevenLabs operates through its US entity and ~9 international entities and is growing fast, which means the provision, the compliance calendar, and the controls around them need a dedicated owner. This is a hands-on ownership role. The provision and returns are prepared by external providers; you manage those engagements and are accountable for the output. You'll own the quarterly and annual ASC 740 provision (deferreds, valuation allowance, uncertain tax positions, rate rec, footnote disclosures), the US federal and state compliance calendar (returns, extensions, estimated payments), and the technical work underneath it: §174 capitalization, §382 and NOL tracking. You'll also assist in designing, documenting, and operating controls, and write the memos that support our positions, working directly with our Big 4 advisors and external auditors alongside the Head of Tax. Requirements - Deep ASC 740 expertise at a multinational — provision, deferreds, valuation allowance, uncertain tax positions, rate reconciliation, and footnote disclosure - Experience owning a US federal and multistate compliance calendar (returns, extensions, estimates) - Working knowledge of US international provisions (NCTI/GILTI, Subpart F, FDDEI, §163(j)) and how they flow into the provision - Experience managing Big 4 or equivalent providers and working directly with external auditors - Has built or operated SOX controls over tax, or supported a first SOX implementation - CPA Bonus: pre-IPO or first-10-K experience, §174/§41 computation, §382 studies, equity compensation tax (ISOs, NSOs, RSUs), OneSource Tax Provision or similar. Growth Potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Build and lead the direct tax team as we bring provision and compliance in-house - Expand into other strategic initiatives such as M&A, PE mitigation policy, corporate structuring. - Broaden into wider tax leadership as our footprint grows Location This role is remote-first, so it can be executed from anywhere on the east coast, New York preferred. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Office Manager & Security Coordinator
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! Role Overview: The Office Manager & Security Officer will serve as the primary point of contact for both day-to-day office operations and security protocol implementation for Cohere's Ottawa office. This hybrid role ensures seamless front-facing operations while maintaining compliance with Canadian industrial security standards for government contracts. The position combines administrative excellence with security expertise to create a welcoming, secure, and productive work environment. Key Responsibilities: Front-Facing Operations & Vendor Management: - Direct oversight of cleaners, food & beverage program, suppliers, and maintenance vendors - Coordinate room setups (snacks/water), manage external visitor logistics, and ensure office cleanliness/organization - Lead internal communication channels (Slack: #office-Ottawa, #celebrations) and disseminate company-wide updates - Handle shipping and logistics, including laptop distribution for new hires and managing returns Security Compliance & Protocol Implementation: - Ensure compliance with security policies, procedures, and regulations for handling classified information aligned with PSPC and Contract Security Program (CSP) requirements - Oversee security screening processes for employees, contractors, and visitors - Enforce access controls, secure storage, and transmission protocols for sensitive materials - Report security incidents to relevant authorities (e.g., CSP, Canadian Security Intelligence Service) as required - Maintain accurate security records, including clearance coordination, training logs, and incident reports - Provide back up to the Company Security Officer Office Management & Inventory: - Maintain food, office, and cleaning supply levels; track usage and reorder proactively - Conduct office tours and serve as primary in-person point of contact for new employees - Oversee incoming/outgoing mail and package handling - Provide on-site support for off-sites and events as needed, collaborating with hosting teams on security, access, onboarding, and guest logistics Events, Culture & Community: - Organize monthly social events (e.g., Pride Party, holiday celebrations) and "moments of delight" for team morale - Manage event execution with security considerations for internal and external gatherings - Coordinate guest experiences and visitor logistics - Oversee mail management and package handling Qualifications & Requirements: Mandatory Requirements: - Canadian citizenship and current residency in Canada - Valid Reliability Status with familiarity with CSP/PSPC frameworks - 2+ years of experience in security operations (government/industrial security preferred) Preferred Qualifications: - Experience managing vendors, facilities, and office operations - Familiarity with government contract security requirements - Strong event planning and community engagement skills - Excellent communication and interpersonal abilities Application Note: Only candidates meeting the citizenship and residency requirements will be considered. Candidates must be able to work in Ottawa and may be required to pass additional security screening for government contract compliance. Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.
Education Content Marketing Lead
About the Team OpenAI’s Education team is building products and programs that advance how people learn with AI. We work across students, educators, institutions, and education communities to help people use AI thoughtfully and effectively. About the Role We’re looking for an Education Content Marketing Lead who combines exceptional editorial and curriculum judgment with strong content-marketing instincts, a builder’s mindset, and an engineer’s approach to scale. You’ll create high-quality content and the systems that move it from idea to published asset quickly and consistently. This is a hands-on role spanning long-form editorial, curriculum, video, visual content, channel strategy, and content operations. You’ll turn strategic briefs and expert input into useful work for students, educators, institutional leaders, and education communities; grow the channels that reach them; and use data to improve both the content and the engine behind it. Education needs a coherent, measurable content engine across audiences, formats, and channels. This role will turn fragmented requests and one-off production into a prioritized portfolio, reusable workflows, dependable creative capacity, and education-specific channels that compound over time. The goal is not simply to produce more content, but to create work that earns attention, supports learning and engagement, and improves through evidence. In This Role, You Will - Build and continuously improve a scalable content operating system spanning intake, prioritization, resourcing, production, review, publishing, versioning, and reuse. - Apply an engineer’s mindset to map dependencies, remove bottlenecks, automate repeatable work, create modular templates and playbooks, and maintain clear quality standards. - Maintain a single source of truth for the roadmap, editorial calendar, briefs, source material, production status, approvals, assets, and metadata. - Produce and edit content across formats, including long-form articles, blogs, case studies, web and email copy, social posts, educator stories, GIFs, images, and carousels. - Develop practical curriculum and professional-learning resources, including lesson plans, educator guides, AI literacy materials, decks, and train-the-trainer content. - Lead video development from concept through final cut, including story development, scripting, structural editing, interview preparation, and oversight of production and post-production partners. - Own and grow education-specific channels across social, email, websites, and blogs through clear audience strategies, editorial plans, and consistent publishing programs. - Set ambitious growth and engagement goals, define measures of content quality and efficacy, instrument tracking, analyze performance, and use experiments to improve results. - Turn goals and expert input into clear briefs, plans, timelines, and review paths in partnership with Content, Customer Education, Design, Marketing, Product, Research, Policy, Safety, Sales, Partnerships, and Customer Success. - Scale production by sourcing, onboarding, and managing a flexible bench of writers, editors, curriculum developers, designers, video partners, agencies, and other vendors. You Might Thrive In This Role If You - Have significant experience in content production, content marketing, editorial leadership, curriculum development, instructional design, or creative production. - Bring a strong portfolio demonstrating excellent writing and editing across long-form editorial, curriculum or professional learning, video, social, and visual content. - Have built or materially improved content systems, workflows, templates, governance, tooling, automation, or publishing operations. - Have owned digital channels and used audience and performance data to set ambitious growth goals, design experiments, and deliver measurable results. - Are a strong video storyteller, with experience in scripting, structural editing, interview preparation, and collaboration with production and post-production specialists. - Can turn ambiguous, cross-functional input into clear requirements and polished work while sequencing priorities across multiple workstreams. - Have experience sourcing and onboarding external partners and are fluent with content-management, digital-asset-management, project-management, analytics, and automation tools. Nice To Have - Experience working in education, edtech, AI, or another technical field. - Experience creating both curriculum or professional-learning resources and audience-facing marketing content. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Staff Engineer, Identity & Access Management (IAM)
Your work will change lives. Including your own. In this role, you will: - Assess our current state of IAM and revamp our IAM strategy across our products, platforms , cloud/on-premise infrastructure and corporate applications to accelerate key business outcomes. - Drive IAM implementation as part of our larger zero-trust security strategy - Architect and Design cloud-based identity governance, access management and cloud directory solutions - Implement RBAC/ABAC based IAM workflows for onboarding and ongoing identity lifecycle management - Act as a key technical and strategic advisor for cross-functional teams including IT, security, and development to ensure that IAM principles are integrated into broader security architecture. - Partner with Engineering and IT teams to ensure our products and applications are developed and implemented with fine-tuned access privileges and are appropriately risk - Establish well-defined KPIs, KCIs, and KRIs that provide visibility into IAM control effectiveness and support continuous improvement. - Ensure regulatory compliance by partnering with other teams to design IAM solutions that meet standards for SOX, GxP, etc. The Team You'll Join - You will join a growing Information Security team at Recursion, focused on enabling Recursion to decode biology by providing world class secure technology services that are designed and fit for purpose. You'll collaborate with your teammates and across departments to ensure that IAM systems support the organization's broader business objectives while maintaining the highest standards of security. The Experience You'll Need - Bachelor's or Master's degree in Computer Science, Information Security, or a related field. - A minimum of 7 years of experience in Identity & Access Management and other information security related domains. - Deep understanding of security principles and proven track record of successfully leading large-scale IAM projects from strategy to execution, particularly within cloud-first and hybrid environments. - Expertise in one or more programming languages (e.g., Java, C++, Python) as they relate to IAM products. - Expert level experience in one or more of the leading Enterprise Identity Administration & Governance solutions - Expert level Experience in Adaptive Authentication, OAuth, OpenID, SAML etc. - Expert level experience with the identity stack like Enterprise Active Directory as well as experience working with IAM products in the cloud like Okta, AWS, Azure AD, Duo or equivalent - Expert level experience with privileged access management solutions (e.g., Delinea, CyberArk). - Knowledge of operating systems (UNIX/Linux, macOS, Windows) and of database management systems - Excellent communication and leadership skills, capable of driving security initiatives and influencing change across multiple teams and disciplines. - Act as a Business Systems Analyst and articulate and elicit requirements and use-cases in a manner that is technology agnostic - A continuous improvement mindset, staying up to date with the latest IAM trends and technologies to drive innovation within the organization. - Experience with risk management, ensuring that IAM solutions are aligned with organizational risk tolerance and compliance requirements. - Relevant security certifications (e.g., CISSP, OSCP, GWAPT) are highly desirable. Working Location & Compensation: Making SLC your home base is ideal, however, we will consider remote work for this position. We ask that remote employees commit to regular on-site visits for routine work and departmental events. At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: $180,600–$212,900 . In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-BO1 LI-REMOTE The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Senior Technical Recruiter, Consumer Devices - Sin...
About the Team The Consumer Devices organization at OpenAI builds products that bring advanced AI into the physical world. Our teams span hardware, software, design, research, and operations, working together to deliver thoughtfully crafted products at global scale. Hiring at this level requires precision, discretion, and a deeply respectful candidate experience. The Recruiting team plays a critical role in how leaders and senior contributors experience OpenAI — often through their very first interactions with the company. About the Role We’re looking for a Senior Technical Recruiter who advises hiring managers and partners closely with senior leaders across the organization. You're driven to work on high-value talent initiatives and are close to the industry’s most sought-after talent. You’ll work with our existing team members—including technical recruiters, coordinators, sourcers, and cross-functional partners—to drive key hires across engineering, AI, and technical domains. This role is based in our Singapore office. We use a hybrid work model of 4 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Act as a strategic partner to hiring leaders; align on priorities, org design, and proactive pipelines across key areas. - Source, engage, and nurture top talent across cross hardware, software, design, research, and/or operations. - Use data (funnels, pass‑through rates, cycle time, source mix) to improve process, leveling, and compensation decisions. - Shape interview plans and rubrics; uphold consistent, inclusive assessments and a great candidate experience. - Craft compelling closing narratives and navigate complex, competitive negotiations. - Collaborate closely with sourcing partners on talent maps and long‑term pipelines. You might thrive in this role if you: - Have 8+ years recruiting in highly technical domains. - Demonstrate success hiring across hardware, software, design, research, and/or operations. - Influence with clear data and market insight; communicate crisply with executives and candidates. - Close thoughtfully—balancing candidate motivations, market dynamics, and compensation frameworks. - Thrive in fast‑moving, ambiguous environments and care deeply about safety and impact. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Manager, Occupancy Planning & Workplace Str...
About the Team OpenAI’s Real Estate & Workplace (REW) team creates and operates the spaces that support our people and our mission. Within REW, the Strategic Occupancy Planning team connects business needs, workplace strategy, and space data to help shape where and how our teams work. We partner closely with business leaders, Finance, People, Workplace Operations, and Design & Construction to anticipate growth, optimize space utilization, and deliver a thoughtful, scalable workplace experience. About the Role We’re looking for an experienced Occupancy Planning & Workplace Strategy Manager to lead strategic space planning for our Go-to-Market (GTM) and General & Administrative (G&A) organizations. In this role, you’ll translate evolving business needs into actionable occupancy strategies, capacity scenarios, and workplace recommendations. You’ll serve as a trusted partner to business leaders, balancing growth projections, operational requirements, and employee experience to inform decisions about how our teams use space. You’ll own planning across a complex, evolving portfolio while leveraging CAFM/IWMS systems and data analytics to drive accurate, scalable decision-making. This role requires a combination of strategic thinking, hands-on technical expertise, and strong cross-functional partnership to turn planning recommendations into operational outcomes. This role is based in San Francisco. We use a hybrid work model of three days in the office per week, with approximately 10–20% travel. In This Role, You Will - Own strategic occupancy planning for GTM and G&A organizations, translating headcount forecasts, business priorities, and workplace needs into actionable space plans. - Develop and evaluate capacity scenarios, neighborhood strategies, team adjacencies, seating models, and space allocation recommendations to support organizational growth. - Partner with business leaders and executive stakeholders to understand evolving requirements, communicate trade-offs, and align workplace strategies with business objectives. - Collaborate with Finance, People, Analytics, Design & Construction, and Workplace Operations to reconcile forecasts, assess capacity constraints, and guide planning decisions through implementation. - Translate workplace needs into practical stacking, blocking, and move plans, ensuring recommendations account for operational feasibility, timing, and employee experience. - Leverage CAFM/IWMS platforms and analytical tools to maintain accurate space inventories, floor plans, seating allocations, and utilization data. - Identify and resolve space data discrepancies, establish quality controls, and partner with internal system owners and external vendors to improve data reliability. - Develop dashboards, planning workflows, and reporting tools that improve visibility into occupancy trends, capacity risks, and portfolio performance. - Drive continuous improvement in occupancy planning processes, including opportunities for automation, system enhancements, and scalable planning practices. - Support workplace change initiatives by partnering with cross-functional teams to ensure clear communication, coordinated execution, and successful transitions. You Might Thrive in This Role If You - Bring 5–8+ years of experience in occupancy planning, workplace strategy, space management, or a related field, with experience independently managing complex, multi-team or multi-site portfolios. - Have a strong track record of translating business growth, headcount projections, and workplace requirements into practical, data-informed space strategies. - Possess hands-on experience with CAFM/IWMS platforms, including space inventory management, floor plans, seating allocations, data reconciliation, and reporting. - Are highly analytical and comfortable developing scenarios, evaluating trade-offs, and translating complex data into clear recommendations for senior stakeholders. - Excel at building trusted relationships with business leaders and cross-functional partners, influencing decisions without direct authority. - Can balance long-term strategic planning with hands-on execution in a fast-paced environment where priorities and requirements evolve quickly. - Have experience supporting workplace transitions, flexible seating strategies, organizational growth, or large-scale space planning initiatives. - Communicate clearly and effectively, whether presenting recommendations to executives, documenting planning assumptions, or coordinating implementation across teams. - Are comfortable navigating ambiguity, identifying opportunities for process improvement, and building scalable solutions. Experience with OfficeSpace or comparable CAFM/IWMS platforms, CAD or floor-plan tools, business intelligence platforms, system migrations, and vendor management is a plus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristics. For additional information, please see OpenAI’s Equal Employment Opportunity and Affirmative Action Policy. Applicants with disabilities may be entitled to reasonable accommodations. Requests for reasonable accommodations can be made via our accommodation request process. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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