Browse AI Jobs — Page 132

Member of Technical Staff - Storage

Negotiable

Negotiable

ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for a strong technical lead to guide the engineers designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. You'll lead the team responsible for Modal's machines layer: the fleet of bare metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them. You'll own the full lifecycle of a machine, from accepting and benchmarking new hardware from a growing set of providers, to network bring-up, kernel and image management, GPU and disk health tracking, and automated remediation of unhealthy hosts. You'll manage a team of 3–8 engineers while staying hands-on across the stack which involves BMCs, firmware, PXE, bootloaders, Linux networking, drivers, and distributed control-plane services, and you'll shape our long-term path further down the stack. REQUIREMENTS: - 7+ years of experience writing high-quality production code - 3+ years of direct people management experience, ideally leading a team of engineers through project planning, growth, and performance conversations - Experience operating large fleets of physical hardware at scale (bare metal provisioning, BMC/IPMI, PXE and network boot, firmware) or building the control planes that manage them (the more challenges you've worked through, the better) - Strong cloud skills - Strong knowledge of low-level operating system foundations (Linux kernel, drivers, networking, file systems, containers, etc.) - Experience working with hardware and colocation providers, including hardware acceptance testing and benchmarking - Track record of setting technical direction and driving architectural decisions across a team - Willingness to step into the thick of it with our on-call rotation and respond to production incidents NICE-TO-HAVES: - Experience with GPUs and the NVIDIA software stack (drivers, health monitoring, RDMA/NVLink) in production - Prior experience with Go KEY THINGS THE TEAM IS WORKING ON: - Automatic remediation of unhealthy machines (power cycling, reimaging, GPU recovery) to maximize uptime and minimize operator toil. - Automatic integration of new CPU, GPU, and storage servers into the fleet while managing hardware and network heterogeneity. - Network health monitoring and reliability across many datacenters, and standardization of bare metal network configuration. - Automatic hardware acceptance testing and benchmarking (CPU, disk, GPU, interconnect, network). - Custom network bootloader, machine image pipeline, and kernel and firmware management across the fleet.

👤 HumanFull-timeExpert / Staff+

By ModalSep 22, 2026

Enterprise Account Executive - Chile

Negotiable

$252,000 – $280,000

About the Team At OpenAI, our User Operations team safeguards our products and users from legal risk, regulatory non-compliance, fraud, and abuse. The team operates at the intersection of operations, compliance, and user trust, embedded within the broader User Operations organization and collaborating cross-functionally with Legal, Governance Risk & Compliance, Policy and Engineering. We support a global and diverse user base across OpenAI’s suite of product offerings, and developer tools by managing sensitive inbound tickets, regulatory obligations, and escalations. Every user-facing action is grounded in our commitment to legal integrity, ethical practice, and regulatory excellence. About the Role We are seeking an independent, adaptive, and operations-minded Regulatory Operations Analyst to help scale and evolve OpenAI’s global regulatory and compliance operations from San Francisco. This role focuses on complex regulatory operations, including work under the EU Digital Services Act (DSA) and EU AI Act, as well as regulatory inquiries and complaints across the Americas, and Asia-Pacific. You’ll manage sensitive cases independently, exercise sound judgment on escalations, and work closely with Legal Counsel, Governance, Risk and Compliance (GRC), and other cross-functional partners. You’ll also bring a working understanding of privacy and intellectual property matters so you can recognize and escalate related issues when needed. Beyond frontline casework, you’ll help shape the documentation, workflows, tooling, and automation that support safe, scalable and regulatory and legal compliance operations. This role is essential to building scalable, high-integrity operations that protect user rights, meet our obligations under emerging and current regulations. You’ll also contribute to multi-phase transitions and automation efforts that support our long-term operational model. Please note: This role may involve exposure to sensitive or concerning content, including complaints involving harassment, fraud, or regulatory violations. Strong personal discretion, empathy, and resilience are essential. In This Role, You Will: Handle and resolve complex regulatory and user issues involving: - Regulatory, audit, or compliance inquiries and user complaints across Europe, North America, Latin America, and Asia-Pacific. AI governance and regulatory frameworks (e.g., EU AI Act, DSA, and OSA) - Regional content moderation and online safety requirements in markets including EU, UK, Brazil, Indonesia, and Australia - Trust & Safety incidents that intersect with regulatory obligations - Privacy and intellectual property escalations e.g. privacy rights requests or copyright takedowns - Perform risk evaluations and investigations to shape the safety of our users and compliance with regulatory frameworks - Act as incident manager for highly sensitive regulatory reviews, coordinating with Legal on the interpretation of legal and regulatory standards - Interface directly with Legal, Governance Risk & Compliance, Privacy, Product, Policy and Support teams to coordinate escalations and resolution paths - Implement operational workflows for regulatory compliance and build and maintain tooling, escalation playbooks, and knowledge domains - Contribute to vendor training and governance models, especially during transitions and ramp-up phases - Lead or participate in cross-functional initiatives that strengthen our regulatory and legal infrastructure - Monitor operational health through case quality audits, SLA tracking, escalation accuracy, and data analysis You Might Thrive in This Role If You: - Have 8+ years of experience in regulatory compliance, legal operations, and trust & safety, preferably in a global or high-growth tech environment - Have translated content moderation or online safety requirements into operational workflows and can navigate evolving global frameworks as it relates to AI - Have partnered with in-house legal counsel, DPOs, or external regulators on audits, inquiries or escalations - Understand tiered support structures and have worked with vendor operations at scale - Bring a structured automation first, systems mindset to operational governance and risk evaluation - Communicate clearly, empathetically, and effectively, especially in writing responses to sensitive issues - Operate well in ambiguity and can manage multiple priorities simultaneously with speed and precision - Thrive in high-autonomy environments, making sound decisions independently and coordinating effectively across teams and time zones 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.

👤 HumanFull-timeSenior

By OpenAISep 22, 2026

Lead, Revenue Accounting, Technical

$216,000 – $240,000

Negotiable

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 Team As AI training and deployments scale, the volume of data we need to monitor and understand is exploding. Our team uses Claude itself to make sense of this data. We own an integrated set of tools enabling Anthropic to ask open-ended questions, surface unexpected patterns, and maintain meaningful human oversight over massive datasets. Our tools are widely adopted internally — powering ongoing enforcement , threat intelligence investigations , model audits , and more — and we're looking for an experienced engineering manager to help us both scale up existing applications and go zero-to-one on new ones. About the Role As an Engineering Manager for the team, you'll lead research engineers who design and build systems that let AI analyze large, unstructured datasets — think tens or hundreds of thousands of conversations or documents — and produce structured, trustworthy insights. The team works across the full stack, from core analysis frameworks through user-facing apps and interfaces. This is a high-leverage role. The tools you build will be used by dozens of researchers and investigators, and directly shape our ability to measure and mitigate both misuse and misalignment. Responsibilities: - Lead the design and implementation of AI-based monitoring systems for AI training and deployment - Extend and improve core frameworks for processing large volumes of unstructured text - Partner with researchers and safety teams across Anthropic to understand their analytical needs, and prioritize the team's work to build solutions - Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings - Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest - Coach and support your reports to understand and pursue their professional growth - Run the team's recruiting efforts, ensuring we can grow as quickly as we need - Design processes that help the team operate effectively You May Be a Good Fit If You: - Are an experienced manager (at least 2 years) and actively enjoy people management - Have 5+ years of software engineering experience, with meaningful exposure to ML systems - Are excited about the problem of scaling human oversight of AI systems - Are familiar with LLM application development (context engineering, evaluation, orchestration) - Enjoy building tools that other people use — you care about UX, reliability, and documentation - Can context-switch between deep infrastructure work and user-facing product thinking - Thrive in collaborative, cross-functional environments Strong Candidates May Also Have: - Research experience in AI safety, alignment, or responsible deployment - Strong people management experience: coaching, performance evaluation, mentorship, career development - Experience recruiting for your team: predicting staffing needs, designing interview loops, evaluating candidates, and closing them - Practical experience with both data science and engineering, including developing and using large-scale data processing frameworks - Experience with productionizing internal tools or building developer-facing platforms - Background in building monitoring or observability systems - Comfort with ambiguity — our team is small and growing, and you'll help define what we become 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 - $850,000 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.

👤 HumanFull-timeSenior

By AnthropicSep 23, 2026

Lead, Ad Revenue & Analytics

Negotiable

Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview Zynga is looking for a strategic, experienced, and intellectually curious Ad Revenue & Analytics Lead to join our world-class advertising team. In this role, you will own the end-to-end analytics and optimization strategy for Zynga's advertising inventory, challenging conventional thinking and driving measurable revenue impact across our portfolio of mobile games. This is a high-visibility, high-impact role that blends technical rigor with business leadership. You will drive cross-functional initiatives, mentor analysts, and translate complex data into strategies that move the business forward. What You'll Do - Define and own the roadmap for key ad revenue initiatives that maximize revenue across Zynga's advertising inventory - Lead complex, multi-stakeholder initiatives from ideation through rollout across our game portfolio - Stay close to daily ad revenue performance, flagging anomalies, diagnosing shifts, and surfacing optimization opportunities, while keeping ad monetization leadership informed of trends and their business implications - Lead the design and execution of complex A/B tests; translate findings into actionable strategies - Collaborate with product and central analytics teams, driving alignment and shared ownership of ads revenue outcomes - Partner with data science on ML and AI-powered models to improve ad targeting, pricing, and inventory optimization - Mentor and provide technical and strategic guidance to junior analysts on the team What You Bring - Bachelor’s degree in a quantitative field - 5+ years of experience in a data-intensive analytics role - Prior experience in mobile gaming or advertising is a big plus - Expert-level SQL skills - Proficiency in Python or R for data analysis, statistical modeling, and automation - Advanced proficiency in Tableau or equivalent BI/dashboarding tools - Familiarity with machine learning concepts and AI tools as applied to revenue analytics - A self-starter who identifies problems, builds the case, and drives solutions to completion — without waiting for direction - Proven ability to influence and align cross-functional teams - Intellectual curiosity and a challenger mindset — unafraid to question assumptions and push for deeper insight - Strong project management and prioritization skills in a fast-paced, deadline-driven environment - Excellent written, verbal, and visual communication skills What We Offer You The pay range for this position in Ontario at the start of employment is expected to be between $96,400 and $130,660 per Year. The pay range for this position in California at the start of employment is expected to be between $118,900 and $150,760 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses. Ontario only: The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy. We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law. As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at accommodationrequest@zynga.com to request any accommodations or for support related to your application for an open position. Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, take2games.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).

👤 HumanFull-timeSenior

By ZyngaSep 21, 2026

Senior Director, Reporting & Analytics Engineering

Negotiable

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data supply chain: the semantic models, curated data products, metric definitions, and consumption experiences that turn engineered data into decisions. This is not a traditional reporting leadership role; the classic notion of “reporting” in the form of a myriad of dashboards and filters is racing towards obsolescence. But the need for data and insights, and the need to deliver it in a way that is digestible and actionable, is timeless. Yes, governed dashboards and trusted reporting remain the foundation, and this leader must be excellent at that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents that monitor data continuously and deliver insight without being asked. Analytics engineering shares much of its DNA with data engineering — modeling, transformation, testing, version control, CI/CD, performance and cost discipline — but is oriented toward business enablement rather than platform and pipeline. Success in this role therefore depends as much on partnership as on technical depth. This leader will work shoulder to shoulder with Data Engineering on the boundary between platform and consumption, with Product Management on roadmap and requirements, with Data Science on advanced analytic products, and with Analytics Operations on a disciplined intake and prioritization process that makes the best possible use of finite capacity. The ideal candidate has spent years building the traditional foundations — governance, metadata, lineage, dimensional modeling, engaging with enterprise BI platforms— and is now looking to apply that rigor to a fundamentally different generation of analytic products in new and innovative ways. What you'll be doing: Organizational Leadership - Lead, coach, and develop an organization of approximately 30 people, including managing through frontline managers; own hiring, role clarity, career pathing, performance management, and succession planning. - Define a multi-year vision and roadmap for enterprise reporting and analytics engineering, and translate it into quarterly outcomes the team and its partners can measure. Partner closely with Product Management to jointly shape the multi-year enterprise end-to-end data strategy. - Own the organization's budget, vendor relationships, and contractor or offshore capacity. - Establish and sustain an engineering culture within an analytics function: peer review, automated testing, documentation standards, source control, CI/CD, etc. Analytics Engineering and Data Architecture - Drive maturity of the last-mile architecture in partnership with Data Engineering: curated marts, semantic layers, reusable data products, and certified datasets that serve reporting, ai enablement, data science, and downstream applications. - Define and enforce dimensional modeling standards, transformation frameworks, and modular, tested, version-controlled analytics code. - Own the enterprise metric layer so that key business measures carry a single, governed definition regardless of where they are consumed. - Partner with Data Engineering to define clear contracts and handoffs between pipeline and platform work and last-mile modeling, including shared tooling, standards, and escalation paths. - Manage query performance, warehouse consumption, and platform cost as first-class engineering concerns. Data Governance, Metadata, and Lineage - Own cataloging, business glossary, data certification, and stewardship workflows, leveraging tools such as Atlan as the primary metadata platform. - Maintain column-level lineage across the analytics estate to support impact analysis, change management, audit, and root-cause investigation. - Leverage data access provisioning and entitlement models, including row- and column-level security, in partnership with Security, Privacy, and Compliance. - Collaborate with Data Engineering to drive data quality monitoring, freshness and availability SLAs, observability, and incident response for analytic assets. Enterprise Reporting and Data Visualization - Drive analytics engagement by leveraging enterprise visualization and provisioning platforms, including Domo and Tableau, in partnership with Data Engineering. Ensure best practices are followed in data architecture, governance, adoption, performance, and total cost management. - Set visualization and information design standards that make reports readable, consistent, accessible, and decision-oriented. - Rationalize the existing reporting portfolio: retire redundant and unused assets, consolidate overlapping content, drive down tech debt and drive consumption toward certified sources. - Build a durable self-service capability through training, templates, community, office hours, and clear guardrails on what belongs in self-service versus centrally managed content. Advanced, Proactive, and AI-Enabled Analytics - Partner with Data Science to productize their work: build the visualization, interaction, monitoring, and feedback loops that turn models and research into products the business actually uses. - Partner with Product Management and Data Engineering to enable generative AI and LLM access to enterprise data. This includes preparing the semantic and metadata foundation that makes data legible to models, delivering conversational analytics, text-to-SQL, and retrieval-augmented experiences on governed sources, and establishing guardrails, evaluation, and accuracy monitoring so that answers can be trusted. - Build exception-based analytics that detect when an outcome deviates from its expected value in a statistically significant way, using seasonality-aware baselines, forecast residuals, control limits, and anomaly detection rather than static thresholds. - Route those exceptions to accountable owners with context, likely drivers, and a recommended next action; actively tune sensitivity and volume to prevent alert fatigue and preserve signal. - Design and deploy analytic agents that proactively monitor data, investigate variances, assemble narrative explanations, and deliver insight into the tools where people already work. - Shift the organization's consumption model from pull to push: the measure of success is not how many people opened a dashboard, but whether the right person was told the right thing at the right time. Cross-Functional Partnership, Intake, and Prioritization - Operate as a true partner to Product Management: contribute to roadmap, requirements, user research, and release planning, and run analytics with a product mindset covering personas, adoption metrics, and asset lifecycle management. - Partner with Analytics Operations to run a transparent intake, triage, sizing, and prioritization process, with published capacity, explicit tradeoffs, and reliable delivery commitments. - Make capacity constraints visible to stakeholders and executives, drive reuse over one-off builds, and decline or defer work with evidence rather than friction. - Serve as a senior, executive-facing partner to business functions, translating ambiguous business questions into well-scoped analytic solutions. What we're looking for: - Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, or a related quantitative field; equivalent professional experience will be considered. - 15+ years of progressive experience in data, analytics, or business intelligence, including 8+ years leading teams and 4+ years managing managers. - Demonstrated experience leading an organization of 25 or more people in a large, matrixed enterprise. - Strong hands-on foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt. - Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing, and CI/CD. - Enterprise-scale leveraging of BI and data visualization platforms such as Domo, Tableau, Power BI, or Looker, including governance, provisioning, adoption, and cost management. - Demonstrated ability to participate in driving data governance program covering catalog, lineage, glossary, stewardship, quality, and access, using platforms such as Atlan, Collibra, Alation, or Informatica. - Proven track record of delivering jointly with Data Engineering and Product Management, with clear ownership boundaries and shared accountability. - Direct experience partnering with Data Science, including operationalizing, visualizing, and monitoring model output for business consumption. - Working command of the statistical concepts underlying exception detection, including hypothesis testing, confidence intervals, variance and control limits, seasonality, and forecasting. - Experience running a formal intake, prioritization, and capacity planning process for a shared services or platform organization. - Excellent executive communication and influence skills, with the ability to operate effectively amid ambiguity and competing priorities. - Experience managing budget, vendor contracts, and platform licensing. Preferred Skills: - Master's degree or MBA in a related field. - Production experience delivering LLM-based analytics: retrieval-augmented generation over governed data, text-to-SQL or conversational BI, semantic layers designed for model consumption, and prompt, evaluation, and cost monitoring frameworks. - Experience designing agentic workflows and orchestration for monitoring, investigation, and notification use cases. - Hands-on experience with Atlan, Domo, and Tableau specifically. - Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts. - Experience deploying anomaly detection at scale, including alert routing, suppression, and fatigue management. - Familiarity with data product and data mesh operating models, domain-aligned ownership, and data contracts. - Experience operating in an Agile or product operating model at scale, including portfolio, OKR, and roadmap management. Deep experience with the “Silicon Valley” school of Product Management, as exemplified by the “Marty Kagan”-style academic approach a significant plus. - Experience leading global or matrixed teams, including offshore or vendor-partnered delivery models. - Track record leading a major platform migration, consolidation, or reporting rationalization effort. - Demonstrated success attracting, developing, and retaining senior technical talent in a competitive market. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

👤 HumanFull-timeExpert / Staff+

By PlayStationSep 21, 2026

Account Executive, Geo Enterprise

Negotiable

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 As an Account Executive, Geo Enterprise at SpaceXAI, you'll be responsible for driving revenue growth by bringing on new logos, building strategic relationships with customers and helping engineering organizations discover, adopt, and expand their use of Cursor. This role combines technical understanding with sales expertise to help enterprises reimagine how software development can be accelerated with AI. This is a rare opportunity to sell a product that engineers already love, into accounts where you can drive transformational change in how software gets built. WHAT YOU'LL DO - You'll own the full sales cycle from first outreach to close, working directly with engineering leaders, CTOs, and procurement teams at some of the world's most sophisticated software companies - Build and manage a healthy pipeline, meeting and exceeding quarterly targets - Develop executive relationships and day-to-day champions within each account and become a trusted product expert; guide prospects through trials, evaluations, and rollouts - Quantify value with clear ROI cases tied to developer productivity and AI adoption - Design and execute innovative sales strategies; analyze market trends and translate high-level plans into targeted activities and campaigns - Be the voice of the customer and influence the roadmap with actionable feedback YOU MAY BE A FIT IF - You have 5-7+ years of closing experience in tech sales, ideally selling developer tools, technical SaaS, or emerging technologies with 1-3 years of experience selling into Enterprise companies - You have a consistent track record of landing new logos and exceeding quota and managing a high velocity of deals - You're comfortable navigating complex sales cycles and selling to technical stakeholders, from ICs to CTOs - You're a true hunter, meaning you proactively build pipeline from scratch through outbound prospecting, creative sourcing, and relentless follow-up, rather than relying on inbound demand - You bring an analytical approach to understanding customer needs combined with creative, tactical follow-through to advance opportunities - You're an excellent communicator who can present confidently and build trust across all levels of an organization

👤 HumanFull-timeSenior

By AnysphereSep 22, 2026

IT Support Specialist

Negotiable

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! ABOUT THE ROLE We are seeking a proactive, customer-focused IT Support Specialist based in Dubai to anchor our regional IT operations . In this role, you will be the primary point of contact for internal employees, delivering white-glove technical support while managing core identity, collaboration platforms, and SaaS systems. Beyond day-to-day helpdesk operations, this position bridges traditional IT support and modern systems engineering. You will leverage automation, scripting, and modern DevOps practices to streamline user lifecycles, eliminate manual toil, and ensure our workforce operates securely and efficiently. KEY RESPONSIBILITIES - Serve as the first point of contact for internal employees, triaging incoming requests through the ticketing system and established support processes. - Troubleshoot and resolve workstation, laptop, mobile, and basic network issues for on-site staff and remote employees, escalating more complex support cases to senior staff or the appropriate team. - Deliver calm, clear support during high-priority incidents, keep users informed, and document work thoroughly through to resolution. - Manage end-to-end employee onboarding and offboarding workflows, ensuring zero-day access provisioning, hardware readiness, and secure offboarding compliance. - Build and maintain support procedures and employee-facing knowledge base articles so common issues are handled consistently. - Partner with business units as a go-to support contact and communicate clearly, in writing and in person, across the organization. - Support new-hire onboarding and offboarding, including device setup, access requests, and day-one readiness. - Track hardware inventory and coordinate on device replacements and repairs. - Assist with password resets, MFA, email, and common productivity-tool issues so employees can get back to work quickly. - Provide hands-on support for printers, peripherals, and meeting-room technology when on-site help is needed - Stay eager to learn, take on special projects, and grow into broader IT support responsibilities. QUALIFICATIONS - Professional proficiency in English - 3-7 years of experience in help desk, internal IT support, or a similar technical support role. Experience in a fast-paced or global team is a plus. - Strong experience with supporting user accounts, password resets, MFA, and SSO, specifically with Okta and Google Workspace. - Experience with Mobile Device Management (MDM) platforms such as Iru (macOS) and Microsoft Intune (Windows). - Basic understanding of networking fundamentals (TCP/IP, DNS, Wi-Fi, and VPN), with familiarity supporting UniFi/Ubiquiti equipment a plus. - Comfort supporting employees in Slack and other everyday collaboration tools such as Microsoft Office 365 (channels, apps, notifications, and common access issues). - Strong written and spoken English, with the ability to explain technical issues clearly to both technical and non-technical colleagues across international teams. - A patient, helpful, solutions-oriented approach to supporting internal staff, with a commitment to follow-through and a positive experience for every request. 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 https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, 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 https://cohere.com/careers page.

👤 HumanFull-timeSenior

By CohereSep 22, 2026

Regional Director, Geo Enterprise

Negotiable

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 As a Regional Director, Geo Enterprise at Cursor, you'll build and lead a team of Account Executives driving revenue growth across new and existing business. You'll be a hands-on leader, coaching your team through complex sales cycles, building the processes and playbooks that scale our go-to-market motion, and serving as a senior voice for the enterprise customer inside Cursor. This is an early and foundational sales leadership role. You'll help define what great enterprise sales looks like at Cursor, working closely with GTM, Product, and Engineering to land and expand Cursor across the world's most sophisticated software teams, based out of our San Francisco office. WHAT YOU'LL DO - Hire, develop, and coach a high-performing team of Enterprise Account Executives to meet and exceed revenue targets - Build and execute a sales strategy, owning pipeline generation, forecast accuracy, and overall territory performance - Get into deals - support your team on complex, high-stakes opportunities by engaging directly with engineering leaders, CTOs, and executive stakeholders across the region. - Drive operational rigor: maintain accurate forecasting, pipeline inspection, and CRM hygiene across the team - Partner with Enablement to accelerate AE ramp time and build training programs tailored to Cursor's enterprise sales motion - Work closely with Product and Field Engineering to shape how we position and demonstrate Cursor to engineering organizations at scale - Gather and synthesize customer and market feedback to inform product direction and go-to-market strategy - Build the playbooks, processes, and institutional knowledge that will scale Cursor's enterprise sales organization as we grow YOU MAY BE A FIT IF - You have 10+ years of sales experience and 3+ years leading high-performing AE teams, ideally selling developer tools, technical SaaS, or AI products - You're based in the San Francisco Bay Area and have an established network across the enterprise technology market - You have a track record of building teams from the ground up and developing AEs into top performers - You're a hands-on leader who stays close to deals. You coach through live opportunities, not just pipeline reviews - You bring strong operational discipline: you know how to run a forecast, inspect a pipeline, and build repeatable sales processes - You're technically fluent enough to hold credible conversations with senior engineers and CTOs about how Cursor fits into how software gets built - You thrive in an early-stage environment and are excited to build the systems and culture of a sales organization, not just manage one - You care deeply about AI and believe that transforming how software is written is one of the most important problems to work on right now

👤 HumanFull-timeExpert / Staff+

By AnysphereSep 22, 2026

Customer Success, EMEA

Negotiable

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 As a Customer Success Manager (CSM) at Mistral, you will be responsible for managing a portfolio of enterprise customers, ensuring they achieve their goals using Mistral’s solutions. You will serve as the primary point of contact for customers, driving adoption, satisfaction, and long-term success. This role is ideal for those who excel in customer-facing environments, enjoy solving complex challenges, and are passionate about turning customer success into business impact. WHAT YOU WILL DO CUSTOMER SUCCESS OWNERSHIP - Manage a portfolio of enterprise customers, ensuring they maximize the value of Mistral’s AI solutions. - Build strong, trusted relationships with key stakeholders, understanding their business objectives and tailoring solutions to meet their needs. - Lead customer onboarding, adoption, and ongoing engagement to drive product usage and satisfaction. - Monitor customer health metrics, identify risks, and proactively address challenges to prevent churn. - Collaborate with Sales to identify upsell and cross-sell opportunities based on customer needs and usage patterns. - Partner with Product and Engineering teams to gather customer feedback and influence the product roadmap. - Develop and deliver customer training, enablement programs, and best practices to drive adoption. - Conduct regular business reviews (QBRs) to align on goals, challenges, and success metrics. STRATEGIC CUSTOMER GUIDANCE - Serve as a trusted advisor to customers, guiding them on how to leverage Mistral’s AI solutions to achieve their business outcomes. - Work closely with Support and Product teams to ensure seamless customer experiences, from deployment to production. - Create and execute customer success plans with clear KPIs, timelines, and measurable outcomes. - Advocate for customer needs internally, ensuring their voice is heard in product and strategic discussions. CROSS-FUNCTIONAL COLLABORATION - Share customer insights with Product, Sales, and Engineering teams to inform product improvements and strategic initiatives. - Clear obstacles for customers during deployment and adoption phases, accelerating time-to-value. - Support renewal processes, including contract negotiations, expansion discussions, and coordination with internal teams. WHAT WE'RE LOOKING FOR - 5+ years of experience in customer-facing roles, such as Customer Success, Account Management, or Solutions Consulting, ideally in a technical or SaaS environment. - Proven ability to manage enterprise customer relationships, with a focus on driving adoption, satisfaction, and retention. - Experience working with technical products, with the ability to engage confidently with Data, IT, and Engineering teams. - Strong communication and presentation skills, including the ability to tailor messaging for technical and executive audiences. - Business acumen: Ability to identify upsell and expansion opportunities while ensuring customer success. - Technical aptitude: Familiarity with AI/ML concepts is a plus; ability to understand and discuss technical requirements is essential. - Hands-on, customer-centric, collaborative, and organized, with a passion for solving complex challenges. 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 https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

👤 HumanFull-timeSenior

By Mistral AISep 21, 2026

Staff Software Engineer, Machine Learning (Consume...

Negotiable

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We're looking to hire a Staff Machine Learning Engineer on our Consumer Revenue ML team. This team applies Machine Learning across Discord's core revenue surfaces — Shop, Nitro, Server Subscriptions, and Gifting — building the ranking, targeting, and recommendation systems that connect users to the right products, subscriptions, and content. If this excites you and you’ve led org-wide initiatives in the past, keep reading! What You'll Be Doing - 8+ years of experience in applied Machine Learning, inclusive Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. - Strong expertise in applied deep learning and mainstream RecSys model architecture (e.g. two-tower, transformer-based models, multi-task learning). - Strong proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow. - A track record of building ML systems from 0→1 in ambiguous, early-stage environments, and taking them to production at scale. - Strong product and business intuition, with the ability to translate experiment results into roadmap decisions. - Excellent communication and collaboration skills — able to lead cross-functional technical initiatives across multiple verticals and keep stakeholders educated and aligned. - The ability to thrive in ambiguous environments, energized by open-ended, technically challenging problems. What you should have - Built internal ML platform/tooling (shared data standards, targeting endpoints, recommender libraries) adopted by multiple product teams. - Familiarity with personalized marketing systems — lifecycle targeting, audience segmentation and lookalikes, campaign optimization. - Deep expertise in distributed training (e.g. PyTorch on GPU, Ray, Anyscale) and large-scale data processing pipelines (e.g. Chronon, Spark, Flink). This position is US-based and can be remote but if you live in the Bay Area, you're welcome to work from our beautiful SF office. The US base salary range for this full-time position is $272,000 to $340,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits. Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

👤 HumanFull-timeRemoteExpert / Staff+

By DiscordSep 22, 2026

Data Scientist

Negotiable

Who we are About Stripe Stripe, LLC. 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. What you’ll do Responsibilities - Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests; - Design the next generation of Stripe products to meet the high growth needs of our company and customers; - Analyze product requirements, user needs and feedback and translate them into technical specifications and determine the feasibility of design, taking into account cost and time constraints; - Review API launches and library shapes for other teams to ensure that backwards and forward compatibility, coherent patterns, and extensibility meet our quality standards; - Act as the team’s representative during technical meetings and understand how their systems interact with the broader landscape within the company; - Mentor early-career engineers to help them grow and spin up into independent engineers; and - Construct core engineering tenets and design principles for their team’s projects. Who you are Minimum requirements Master’s degree or foreign equivalent in Statistics, Data Analytics, Engineering or a related field, plus 5 years of related work experience in data science or quantitative modeling. In the alternative, the employer will accept a Bachelor’s degree or foreign equivalent in Statistics, Data Analytics, Engineering or a related field, plus 7 years of related work experience in data science or quantitative modeling, of which at least 5 years must be post-bachelor’s progressive related work experience. Must also have 4 years’ experience in each of the following: - SQL; - Programming languages including Python or R; - Developing models and tuning thresholds to drive business outcomes and deployment of the same model in production; - Translating complex data analysis into actionable business outcomes; - Writing or contributing to product strategy, roadmap, or technical design documents; Must have 3 years of experience in: - Designing and analyzing production experiments to drive strategic and technical outcomes. Salary: $193,232 - 288,000/yr This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary. 40 hrs/week 50% Telecommuting permitted Multiple Positions Available. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA53 LI-DNI

👤 HumanFull-timeSenior

By StripeSep 22, 2026

Machine Learning Engineer, Link

Negotiable

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 Link is a digital wallet designed for fast and secure online payments. It allows consumers to save and use their preferred payment methods across the Link network, helping them check out quickly and securely wherever Link is accepted. The Link Fraud and Auth team works to make Link the most trusted and highest-performing way to pay. We protect consumers and merchants from fraud, abuse, and financial loss while maximizing authorization rates for good users. Our work spans consumer-facing experiences, payment infrastructure, and ML powered risk systems. We manage fraud and financial risk across a growing range of novel Link features, including Link’s agentic wallet, stored balance, and LPMs. The team also owns Instant Bank Payments, a proprietary payment method built on ACH rails, offering merchants immediate confirmation while protecting them from bank-initiated returns. IBP is the heart of Link’s revenue engine, giving LFA engineers the opportunity to shape and scale one of Link’s most important products. What you’ll do As a machine learning engineer on Link Fraud and Auth, you’ll build and operate models and risk decisioning systems that protect Link while helping more legitimate payments succeed. You’ll work across the full machine learning lifecycle, from analyzing fraud patterns and identifying opportunities to building, deploying, monitoring, and improving models in production. You’ll use data to form hypotheses, make practical modeling choices, and define technical direction in partnership with Engineering, Product, and Data Science. Your work will directly influence Link’s fraud performance, authorization rates, and ability to expand into new products and payment experiences. Responsibilities - Build, train, evaluate, deploy, and own machine learning models that detect fraud and abuse across Link. - Use large-scale datasets to investigate emerging threats, develop hypotheses, and identify opportunities to improve payment performance. - Develop pragmatic machine learning solutions, including tree-based models and other approaches suited to real-time risk decisioning. - Design data pipelines, features, evaluation methods, experiments, and monitoring systems that support reliable production models. - Build and improve risk decisioning systems that integrate with other parts of Stripe’s payments stack. - Own ambiguous problems from initial analysis and problem definition through technical design, implementation, launch, measurement, and iteration. - Collaborate with Engineering, Product, Data Science, and Risk partners across Stripe to turn model improvements into durable product outcomes. 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 - 6+ years of industry experience building and shipping machine learning models in production. - Strong programming skills in Python and experience with common data and machine learning tools, such as SQL, Spark, and XGBoost. - Strong knowledge of production machine learning systems, including data pipelines, feature development, model evaluation, deployment, monitoring, and iteration. - Experience working with large and complex datasets and applying data analysis, statistics, and experimentation fundamentals. - Demonstrated ability to take an open-ended business problem, determine where machine learning can help, and own the solution through production. - Strong judgment in selecting practical modeling approaches and evaluating tradeoffs among model performance, system complexity, latency, and business impact. - Strong collaboration skills and the ability to work across teams and contribute to peers' success. Preferred qualifications - Experience applying machine learning to fraud detection, risk modeling, payment authorization, identity, account security, or another adversarial domain. - Experience building real-time, low-latency machine learning or risk decisioning systems at scale. - Experience integrating models into production services and designing reliable systems around model outputs. - Experience with payments, fintech, digital wallets, or money movement. - Strong software engineering skills and experience designing solutions across the machine learning and product stack.

👤 HumanFull-timeSenior

By StripeSep 21, 2026

AI Solutions Developer

Negotiable

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 You'll be joining the Finance Operational Excellence team, reporting to the Head of Finance Operational Excellence. We are finance transformation and AI experts working side-by-side with Finance, Product, and Engineering teams to redefine processes and build the finance organization of the future. This is an opportunity for someone who enjoys working across disciplines: part solution developer, part data architect, part workflow designer, and part coach. You’ll have room to shape how applied AI is built and scaled both from a technical and end-user perspective. What you’ll do You'll work side-by-side with Finance subject matter experts to understand how work gets done, identify the highest impact opportunities, and partner with domain teams to chart a transformation plan which balances future ambitions with rapid impact. You'll work independently to automate manual processes, design and build agents and required data solutions using internal platforms, and enable Finance teams to maintain these solutions long-term. You’ll build with your partner teams, not simply deliver solutions to them. You’ll help colleagues move from a manual workflow, to a first AI-enabled win, to a reliable solution they can confidently operate and improve themselves. Success means the workflow stays transformed after the initial build, the team trusts the output, and the people closest to the process can own what comes next. You’ll favor learning through building. When possible, you’ll put a useful prototype in front of a Finance user, test it against a real deliverable, and improve it quickly rather than spend weeks describing a theoretical future state. When you encounter platform limitations—which you will—you’ll find creative, supportable approaches, collaborate with Engineering to scope and test custom tools, and escalate strategically when needed. This role requires a blend of process automation, data operations, technical problem-solving, and stakeholder enablement. You'll spend your time building agents, optimizing data pipelines that feed them, creating knowledge layers that make them more accurate, and training Finance teams to use and maintain them. Success means Finance teams can independently run agents you've built while you provide light support and focus on the next automation opportunity. Responsibilities - Embed with Finance teams to diagnose workflows, identify high-leverage opportunities, and translate business, data, and control requirements into practical AI and automation solutions. - Build and operationalize AI agents for Finance use cases, delivering end-to-end solutions from prototype through validation, monitoring, documentation, and handoff. - Write and optimize SQL for data extraction, transformation, calculation, and validation, ensuring Finance-facing outputs are accurate, explainable, and reliable. - Design reusable knowledge layers, evaluation methods, validation patterns, data-quality frameworks, and components that improve agent accuracy and accelerate future use cases. - Identify agentic limitations and new possibilities; determine when to use existing capabilities, develop an alternative approach, or partner with Engineering to scope and test custom tools and integrations, including tools using Model Context Protocol where appropriate. - Build alongside users, gather feedback through real deliverables, and iterate until the solution fits the workflow and earns user trust. - Enable long-term ownership through clear SOPs, runbooks, training, and self-service tooling; coach Finance teams to operate, maintain, and evolve what has been built. - Establish monitoring and observability for deployed agents, including metrics, alerting, and incident-response processes that support reliable operation. - Diagnose technical and data issues, resolve problems independently where possible, and collaborate with Engineering when solutions require deeper platform changes. - Measure adoption and impact, share lessons and wins, and turn successful implementations into standards, components, and playbooks for the broader Finance AI portfolio. 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 - 5+ years of experience in data analytics, technical operations, business intelligence, automation, solutions delivery, or a related field. - Hands-on experience building AI-enabled tools, agents, automations, or workflows that changed a real business process—not solely using AI as a conversational tool. - Strong SQL proficiency, including experience writing complex queries using CTEs, window functions, and joins for data analysis, transformation, or pipeline logic. - A track record of independently scoping and delivering technical solutions for process improvement, demonstrating ownership from problem definition through adoption. - Strong analytical and investigative skills, including the ability to identify root causes, debug complex data problems, and resolve inconsistencies. - Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences and work effectively with domain experts and Engineering partners. - Experience teaching, coaching, enabling users, or transferring ownership of a solution through documentation, training, or self-service tools. - Working knowledge of development practices such as version control, testing, code review, and iterative delivery. - Experience using low-code tools, scripting, workflow automation, AI-assisted development, or custom integrations, paired with curiosity and the ability to learn evolving technologies. You will also likely have (not required): - Domain experience in Finance Operations, Financial Planning & Analysis (FP&A), Accounting, Treasury, Tax, Payments, or other areas. - Familiarity with modern data tools and practices, such as Python, Databricks, ETL/ELT processes, data pipelines, and data-quality controls. - Experience with Model Context Protocol or another extensibility or integration framework. - Experience navigating financial systems and understanding how data flows through accounting, reporting, reconciliation, forecasting, or payments processes. - Experience with change management, organizational transformation, or large-scale enablement programs. - Experience building internal tools, templates, components, or playbooks that were adopted beyond the original team or use case. - Experience working in a high-growth technology company with rapidly evolving processes and tools. Note on technical depth : This role involves working at the intersection of no-code AI tools and custom development. While software engineering expertise is not required, you should be comfortable applying technical concepts, collaborating closely with Engineering teams, and using AI-assisted development tools to extend platform capabilities when needed.

👤 HumanFull-timeSenior

By StripeSep 21, 2026

Senior Machine Learning Data Scientist

Negotiable

Senior Machine Learning Data Scientist at ŌURA. Femtech Insider network role. Industry tags: Consumer Electronics, Consumer Goods, Fitness, Hardware, Health Care, Mobile, Mobile Apps, Software, Wearables, Wellness. Skills: Machine Learning, Data Science, Research, Statistics, Forecasting, Personalization, Time Series. Locations: United States, Remote. Work mode: remote.

👤 HumanFull-timeRemoteSenior

By ŌURASep 21, 2026

Data Science Intern

Negotiable

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. ECOSEC What We Do Our ECOSEC team provides a safer experience for Epic's users. We work across multiple products and services to improve technology and craft transparent policies so our players and users can have positive experiences on our platforms. DATA SCIENCE INTERN What You'll Do We are looking for a Data Science Intern to join the Ecosystem Security team supporting initiatives related to fraud and abuse detection. As part of the EcoSec team, you will be given a detection problem to own as part of our development cycle. You will work with your data science mentor and the operations analysts who investigate these cases to explore the data, build a model, and measure its impact on how we protect players. In this role, you will - Explore large transaction, account, gameplay, and behavioral datasets to characterize how a specific form of abuse actually works - Build and evaluate statistical or machine learning models that detect abusive activity at scale - Partner with operations analysts to translate their investigation heuristics into model features, and measure your results against real outcomes like confirmed cases and false positive rates - Build dashboards or monitoring so the team can track your signal without an analyst in the loop - Document your data sources, methodology, and findings so the work can be extended after your internship, and present your results to the team What we're looking for - Experience with Python for data analysis, pandas and scikit-learn preferred - Ability to write SQL against large datasets to pull and shape your own data - A grounding in statistics and machine learning fundamentals, including classification and evaluation metrics beyond accuracy - A desire to develop strong data science and software development skills - Genuine curiosity about adversarial problems, specifically how and why people find ways to game a system - Good interpersonal and communication skills, with demonstrated ability to communicate technical findings within a team - The ability to react and respond effectively to constructive feedback - A flexible approach to rapidly evolving problems, and comfort working with messy or sparsely labeled data - Nice to have: exposure to any of anomaly detection, graph or network analysis, text classification and NLP, or sequence and time-series modeling - Nice to have: interest in games, live services, or online trust and safety This internship has a flexible start date in 2027. Recruitment will be ongoing until teams find an ideal match. Applicants must be legally authorized to work in the posting location for the duration of the internship. For more information about Epic’s Early Career Program, visit epicgames.com/earlycareers . This is going to be Epic! 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 .

👤 HumanContractEntry

By Epic GamesSep 21, 2026

Senior Software Engineer, Computer Graphics

Negotiable

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. We are seeking an experienced Senior Software Engineer with a deep background in 3D computer graphics and engine development to join the ML Data Pod within the Foundation AI team. In this role, you will build the foundational infrastructure that powers our next-generation AI capabilities. As the AI landscape rapidly shifts toward spatial and 3D generation, high-quality data has become the ultimate bottleneck. You will be instrumental in solving this challenge by unlocking the Roblox engine as a massive, scalable platform for synthetic data generation. This is a unique opportunity to bridge the gap between cutting-edge AI research and low-level engine architecture. You will be navigating unmapped territory—shaping how we represent and structure complex 3D data (such as meshes, materials, lighting, and scene graphs) to effectively train state-of-the-art 3DGen models. Ultimately, the synthetic pipelines you architect will directly fuel the frontier AI models that will define the future of immersive 3D content creation for millions of creators worldwide. Responsibilities - Synthetic Data Generation: Spearhead initiatives to leverage the Roblox engine to procedurally generate the massive, high-fidelity 3D datasets required for training frontier 3DGen models. - Cross-Functional Collaboration: Partner closely with AI research scientists to translate complex model training requirements into actionable engine features, while collaborating with core engine teams to implement them safely and efficiently. - Pipeline Architecture: Design, build, and optimize scalable graphics and engine-level systems capable of generating diverse spatial, geometric, and visual data at scale. - Technical Integration: Drive the technical direction for embedding synthetic data generation workflows into the existing engine architecture without compromising core performance. Minimum Qualifications - 5+ years of experience building and shipping complex, production-grade software systems - Deep expertise in 3D computer graphics, rendering pipelines, and game engine architecture. - Strong proficiency in systems programming (e.g., C++) with a proven track record of writing highly optimized, scalable code. - Experience extracting, modifying, or manipulating programmatic data from within a complex engine environment. - Strong communication skills with a demonstrated ability to bridge the gap between machine learning researchers and low-level systems engineers. - Bonus: Familiarity with machine learning data pipelines, automated synthetic data generation, or 3D generative AI architectures. Preferred Qualifications - Background in geometry, linear algebra, or related mathematical domains - Experience with graphics APIs or frameworks a plus but not required 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 $227,370 - $295,250 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.

👤 HumanFull-timeSenior

By RobloxSep 22, 2026

Senior/Principal Product Manager, Video Generation...

Negotiable

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. The mission of the Foundation AI group is to enable Roblox Creators to accelerate their workflows and to put GenAI in the hands of millions of users. We envision a future in which experiences on Roblox leverage generative text and speech capabilities to enable new forms of interaction, generative 3D and 4D capabilities to enable new ways to create, and generative video to give creators a level of visual fidelity and motion that has never been available at this scale. We shipped our 3D foundation model, which takes text prompts as input and generates production ready 3D objects and worlds. We are now building the Roblox Video Model; the Super Upsampler at the heart of Roblox Reality, our hybrid architecture that pairs the structured simulation of the Roblox Game Engine and Roblox Cloud with the photorealism of Video World Models. The engine stays the source of truth for the data model: state, physics, collision, logic, and multiplayer consistency. The video model generates the pixels: higher fidelity textures, realistic lighting, secondary motion, fluid dynamics, and the unscripted detail of a real world. A world model paired with our engine, enables persistent, multiplayer, photorealistic worlds that any creator can build and any player can join. As the Senior/Principal Product Manager for Video Generation, your job is to put that in the hands of our community. You will take the Roblox Video Model out of the lab and into creator early access, then to a platform capability available to everyone, running on cloud edge GPU infrastructure, scaling toward tens of millions of concurrents, and keeping agency firmly with the creator. You will own the strategy and vision, define how creators direct and control the model. You will: - Build a vision and strategy for real-time video generation that delights creators and players and leads to industry-defining innovation in world models. - Own the launch to our community — from lab demo, to creator early access, to scaled platform capability — and earn the trust of a community with real concerns about AI in creation by shipping in the open and proving the model serves them. - Define the creator control surface: how creators condition, direct, and constrain the model so their game rules, art direction, and systems are never overridden. - Deeply understand the model capabilities our creators need — temporal coherence, multiplayer consistency, avatar fidelity, prompt and style adherence — and shape the research roadmap against them. - Develop comprehensive evaluation for our models, combining automated metrics with creator and player feedback, and own the quality, latency, and cost curve with research and infrastructure so this scales affordably. - Work across the company — with engine, rendering, creator, safety, and economy — to make generated pixels safe, age-appropriate, and a core part of gameplay. - Manage from vision through the product life cycle, prioritizing by working with creators and analyzing how our model is used, while providing insights to non-technical audiences and holding your own with world-class AI researchers. You have: - A track record of solving hard problems. - Proven experience building, shipping, or supporting generative media products — video, image, or world models — or real-time rendering and graphics technology at scale. - Experience productizing research: turning model capabilities into product and product signal back into research priorities, with fluency in the tradeoffs that define this space — quality, latency, inference cost, and compute. - A deep understanding of the product life cycle and a history of collaborating with engineering teams and other stakeholders to deliver complex technical products on time. - Experience shipping to large consumer or creator communities, ideally in gaming, UGC platforms, or creative tools. - A Masters degree or equivalent experience in Computer Science, Computer Engineering, Computer Graphics, 3D Animation, or Games Production, or a similar technical field. - Passion for driving user-centric product decisions with an inclusive and strategic mindset, comfort in a fast-moving and ambiguous environment, and a high degree of independent drive. 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 $330,950 - $383,120 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.

👤 HumanFull-timeExpert / Staff+

By RobloxSep 21, 2026

Senior Research Scientist, Magnets

Negotiable

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY Introduction to the team: The Magnets team is one of several research verticals within SandboxAQ's broader Chemical Simulation group, which uses advanced computational methods, physics-based simulation, and AI to discover and develop novel materials. Within that effort, the Magnets vertical is focused on one of the most strategically important materials problems today: developing high-performance permanent magnets that reduce or eliminate reliance on neodymium and other rare earth elements and can be manufactured in the United States. Our goal is to create novel magnet formulations that use existing industry processes and equipment while matching or exceeding the performance of today's leading NdFeB magnets in demanding applications such as semiconductor equipment, vacuum systems, precision motion devices, and defense technologies. Introduction to the role: We are seeking a Research Scientist to help drive the computational discovery and optimization of next-generation magnet materials. The ideal candidate has a strong background in applying first-principles and multi-scale reference systems, computational simulation, together with machine learning, to magnetic and intermetallic materials. In this role you will (1) run and interpret atomistic and multi-scale simulations that predict the properties of magnets materials, (2) build and deploy computational and ML-driven workflows that screen rare-earth-lean and rare-earth-free candidates at scale, (3) work with experimental collaborators to test and refine predictions against real-world data, and (4) contribute to the project plans, publications, and IP of the vertical. You will report to the Chief Scientist, Magnets and work closely with our AI simulation platform and data-generation teams. KEY RESPONSIBILITIES - Execute, analyze, and document DFT and multi-scale reference systems to predict phase stability, magnetocrystalline anisotropy, saturation magnetization, Curie temperature, and other properties across Fe- and Co-based intermetallic systems using U.S.-accessible alloying elements. - Develop and test computational workflows and ML interatomic potentials / surrogate models that enable high-throughput screening and optimization of rare-earth-lean and rare-earth-free permanent magnet candidates. - Lead high-fidelity data generation campaigns that feed the magnetism-aware LQM; work with platform and data-generation teams to specify the energetics, descriptors, and uncertainty estimates the workflows require. - Connect atomistic simulation outputs to microstructure- and process-level predictions (powder metallurgy, sintering, heat treatment) to keep candidate formulations manufacturable with existing industry equipment. - Collaborate with experimental validation partners to test and iterate on model predictions, contributing to the Design-Build-Test-Learn (DBTL) feedback loop between computation and the lab, ensuring that LQM models are more accurate over time. - Work within defined projects, deliverables and milestones alongside agile, multidisciplinary teams, and generate and evaluate hypotheses that influence project direction. - Communicate research findings through scientific talks, peer-reviewed publications, patents, and partner-facing technical presentations; support junior scientists and interns as the team grows. ESSENTIAL SKILLS & EXPERIENCE - PhD or equivalent experience in Solid- state Physics, Quantum Chemistry applied to Materials Science or a related field. - Hands-on experience with DFT or atomistic simulation. - Strong programming skills in Python and modern scientific-computing practices. - Experience applying machine learning, surrogate modeling, or high-throughput methods to materials problems. - Demonstrated ability to collaborate with experimental or cross-functional teams to validate and iterate on predictions. - Because this position supports specific U.S. Government contractual requirements, we can only consider US Persons (Permanent Residents or Citizens) at this time. HIGHLY DESIRED SKILLS & EXPERIENCE - Specialization in alloys, microstructure engineering, magnetism, intermetallics, or hard/functional magnetic materials. - 3+ years of hands-on experience (post-PhD or equivalent) applying DFT and atomistic simulation specifically to magnetic, intermetallic, crystal lattices, energy bands, or phonons for material science. - Proficiency with common DFT and atomistic simulation software (e.g., VASP, Quantum ESPRESSO, LAMMPS, ASE). - Experience developing or using ML interatomic potentials and AI models for materials discovery (e.g., MACE, NequIP, Allegro, or FairChem) with modern deep learning frameworks (e.g., PyTorch, JAX), and familiarity with HPC and cloud environments. - Hands-on experience with Fe-N, Mn-based, Sm-Co, or other rare-earth-lean permanent magnet systems and their bulk processing challenges. - Experience with finite-temperature magnetism and coercivity modeling, including atomistic spin dynamics and/or micromagnetic simulation. - Familiarity linking composition and microstructure to processing (powder metallurgy, sintering, heat treatment) and to application requirements such as force density, thermal operating envelope, and demagnetization margin. - Familiarity with Bayesian optimization, active learning, or autonomous discovery workflows applied to materials. - Authorship of publications in high-impact peer-reviewed journals, and/or patents, in magnetic materials, computational chemistry, or AI for materials science. - Experience operating within CHIPS Act, DOD, DOE, or other federally funded R&D programs, including awareness of export-control and IP considerations. WHY JOIN US? We offer competitive compensation, a comprehensive benefits package, and opportunities for professional growth. - Compensation: Competitive base salary commensurate with experience, plus equity and performance-based incentives. - Benefits: Comprehensive health, dental, and vision insurance; 401(k) with company match; generous parental leave. - Work-Life Balance: Flexible hybrid work arrangements, generous PTO, and a culture that respects focus time and recovery. - Career Development: Direct exposure to CHIPS Act-funded programs, senior scientific and executive leadership, mentorship, and dedicated learning budgets to support continued growth. SANDBOXAQ WELCOMES ALL We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges. Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know. Read: Guidance for candidates on using AI Tools in interviews https://www.sandboxaq.com/ai-in-interviews

👤 HumanFull-timeSenior

By SandboxAQSep 21, 2026

Senior Content Designer

Negotiable

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. We're looking for an exceptional Senior Content Designer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale that don't always have strong precedents. You'll take on a highly influential role shaping vision and execution across key strategic initiatives. You'll partner with cross-functional leaders, contribute to high-impact decisions, guide complex projects from concept to completion, and mentor others on the team. This is a role for someone who leverages modern tools and cutting-edge methodologies as a core part of how they solve problems, and raises the bar for everyone around them. This role is based in our Chicago, IL, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do - Architect and govern content strategies and systemic taxonomies for high-frequency digital financial products, including multi-leg options, portfolio margin and advanced trading tools. - Define the logic and communication architecture for high-risk, time-sensitive regulatory events, including automated margin liquidations, complex options lifecycle events (assignments/exercises, sellouts), and real-time risk-mitigation protocols. - Establish the strategic governance and prompt-design frameworks for AI-native trading assistants and LLM-generated market insights, ensuring machine-generated content adheres to strict financial disclosure standards and algorithmic transparency requirements. - Interpret evolving SEC and FINRA regulatory mandates to proactively steer product direction and architect communication strategies that mitigate systemic legal risk. - Lead the strategic design and end-to-end evolution for brand-new financial instruments and asset classes from initial concept to global launch. - Direct the mentorship and capability building of junior designers, focusing on complex market mechanics, AI-integrated design workflows, and internal content-governance tooling. - Define the unified content logic and high-precision accuracy standards for real-time market data visualizations and multi-channel order-entry systems across iOS, Android, and Web platforms. - Establish frameworks for using quantitative telemetry (conversion funnels, error rates) and qualitative research to optimize the end-to-end algorithmic content ecosystem, ensuring high- precision accuracy across the Core Trading user journey. - Define requirements for internal content management systems and localization workflows to ensure the rapid deployment of high-stakes regulatory alerts and multi-region product launches. What you bring - Bachelor’s degree (or foreign equivalent) in Design, Communications, Human-Computer Interaction, Journalism, or a related field, and 3 years of experience in the job offered or a related occupation. - Education and/or experience must include: - Strategic content architecture & systemic governance; - High-precision linguistic frameworks for high-stakes transactional interfaces; - Advanced derivatives strategies, leverage, and clearing mechanics; - High-volatility incident response and automated financial risk-mitigation flows; - Proven ability to translate SEC/FINRA mandates into product implication; - Governance of AI-integrated systems & prompt engineering for algorithmic insights; - Strategic organizational influence & executive stakeholder alignment; - Leading zero-to-one product launches within a highly regulated fintech environment; and - Designing for high-stakes edge cases in financial trading, including assignment/exercise risk, T+1 settlement logic, and complex order-entry mechanics. - Background checks required. What we offer - Challenging, high-impact work to grow your career. - Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching. - Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents. - Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more. - Employer-paid life & disability insurance, fertility benefits, and mental health benefits. - Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! - Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to the corresponding compensation zone. Base Pay Range: $82,056.00 - $150,000.00 per year Apply by clicking APPLY NOW. Indicate job code I-2725 in your application. Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

👤 HumanFull-timeSenior

By RobinhoodSep 21, 2026

Enterprise Customer Support Specialist

Negotiable

We are looking for an experienced Enterprise Customer Support Specialist who can marry deep product expertise with a passion for scaling world-class support through automation. You will be the primary advocate for our Enterprise Pro customers, helping them maximize value, troubleshooting complex issues, and feeding their insights straight into future product development. Responsibilities - Work directly with enterprise customers—via tickets, Slack, and sometimes calls—to diagnose and resolve their most complex technical and product questions, acting as the “last line of defense” before Product and Engineering step in. - Leverage Perplexity’s own AI tooling and workflow automations to democratize world-class support at scale, continuously identifying opportunities to replace repetitive tasks with agentic, self-service solutions that feel personalized. - Build durable relationships with Enterprise users, advising on best practices, capturing structured feedback, and championing customer needs in roadmap discussions. - Own end-to-end troubleshooting: reproduce issues, isolate root causes, collaborate with engineers, and communicate clear, low-jargon explanations. - Design and maintain detailed use-case flows, playbooks, and internal runbooks that empower teammates and customers to solve recurring challenges faster. - Create and update external documentation (FAQs, help center, guides, tutorials) and internal knowledge bases to ensure information is discoverable and up-to-date. - Track and report support KPIs (response time, CSAT, resolution rates) and propose data-driven process improvements. - Participate in an on-call rotation—including some holidays or weekends—to guarantee timely global coverage. Requirements - Minimum 3+ years in B2B enterprise customer support with exposure to U.S. and E.U. markets, or similar fast-paced tech environments. - Hands-on experience prompting large-language models, plus a solid grasp of AI fundamentals (tokens, context windows, embeddings, latency vs. cost trade-offs, etc.). - Ability to translate complex technical concepts—APIs, SSO/SAML, cloud integrations—into clear, actionable guidance for non-technical stakeholders. - Demonstrated strength in critical thinking, rapid context-switching, and ruthless prioritization when juggling multiple escalations. - Proficiency with modern support platforms (Intercom, Zendesk, Jira) and basic data-analysis tools (e.g., SQL, Looker, Snowflake). - Exceptional written and spoken English; business-level fluency in at least one additional language such as Spanish, French, or German is strongly preferred. - Passion for continuous learning, high ownership, and a “do-what-it-takes” mindset in ambiguous situations. Bonus Points - Prior experience supporting AI, search, or knowledge-management products. - Familiarity with payment platforms (Stripe), enterprise identity (SSO/OAuth), and API integrations. - Knowledge of enterprise cloud-storage ecosystems (Google Drive, SharePoint, Dropbox) and data-governance best practices. Why Perplexity? - Impact at Scale – Your work directly influences hundreds of enterprise clients and millions of end-users at an unprecedented scale to encourage personalized support - Velocity & Ownership – Ship improvements quickly in a culture that values curiosity, speed, and quality - Cutting-Edge Tech – Operate at the forefront of applied LLMs and help invent how AI can redefine customer support itself.

👤 HumanFull-timeRemoteMid

By PerplexitySep 21, 2026

Strategic Partnerships Manager, France

Negotiable

About the Team We are hiring a Partnerships Manager based in France with primary responsibility for the French market. You will own some of OpenAI’s most important business development and partnerships while contributing to broader EMEA and international priorities. The role is responsible for identifying, developing, and executing partnership strategies that accelerate adoption of OpenAI’s products across enterprise, developer, and consumer channels. About the Role You will manage relationships with strategic partners in France and on cross-border opportunities, ranging from global technology platforms to regional champions, including enterprise software vendors, telcos, cloud providers, and government-aligned organizations. This is a deeply cross-functional role requiring close collaboration with Product, Engineering, GTM, Legal, and Policy teams. Although the role has clear accountability for France, team priorities may evolve, so you must be ready to take on other markets, verticals, or partnership types. Please note, this role is based in Paris with 3 days per week required in the office. In this role, you will: - Own partnership strategy and execution for France, driving end-to-end partnership development and delivery in the market while contributing to broader EMEA and international priorities - Negotiate and close strategic local and cross-border deals across commercial terms, product scope, data/privacy, brand/marketing, incentives, and expansion paths. - Lead senior partner relationships: build trust, align on joint value props, and manage complexity. - Partner closely with Product, Engineering, GTM, Legal, Policy, and regional counterparts to align roadmaps, navigate constraints, and execute partnership initiatives. - Bring deep knowledge of France and a strong point of view on country and sub-region differences across EMEA, informing prioritization, positioning, and partner selection. Apply that judgment flexibly when supporting opportunities beyond France or in new verticals. - Define success metrics and use analytical judgment to assess progress, surface risks, and communicate outcomes to internal stakeholders. You might thrive in this role if you have: - 10+ years of experience in strategic partnerships, product partnerships, business development, or general management within the technology industry. - Fluency in English and French - Demonstrated success leading high-impact local and international partnerships involving major technology partners, including complex cross-border work. - Deep understanding of France, combined with experience operating across multiple countries and international markets. - Product-savvy with the ability to engage technical stakeholders credibly and influence product direction and roadmap tradeoffs. - Exceptional communication, negotiation, and executive presence - Strong analytical instincts and comfort using data to inform decisions and communicate impact - Ability to thrive in a fast-paced, highly ambiguous environment, operate both independently and collaboratively, and adapt quickly across changing markets, verticals, and partnership types 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.

👤 HumanFull-timeSenior

By OpenAISep 21, 2026

Solutions Engineer, Ads Solutions - San Francisco

$234,000 – $260,000

About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role We’re looking for an Ads Solutions Engineer to partner with advertisers and agencies throughout the pre-sales and growth lifecycle, helping them successfully evaluate, launch, and scale on OpenAI’s advertising platform. You will serve as the technical expert in the sales process, translating advertiser objectives into scalable technical solutions across measurement, integrations, data activation, and campaign execution. This role sits at the intersection of sales, product, and engineering. You’ll work closely with Client Partners, Customer Success Managers, Product, Engineering, Policy, and Operations teams to remove technical blockers, accelerate revenue growth, and shape the future of OpenAI’s ads platform. This role is based in our San Francisco HQ and we offer generous relocation support for new hires. In this role, you will: - Partner with Client Partners during the sales cycle to provide technical expertise that unlocks new business and accelerates deal closure. - Lead technical discovery with advertisers and agencies to understand data flows, martech stack, measurement requirements, and activation goals. - Design and recommend implementation approaches for pixels, APIs, server-to-server integrations, identity solutions, offline conversions, and measurement frameworks. - Guide advertisers through onboarding and launch readiness, ensuring successful setup of tracking, attribution, audience signals, and reporting. - Troubleshoot technical issues related to implementation, signal quality, delivery, and measurement performance. - Build compelling demos, proofs of concept, and technical narratives that demonstrate the value of OpenAI’s ads solutions. - Partner cross-functionally with Product and Engineering to escalate issues, advocate for customer needs, and influence roadmap priorities. - Create repeatable technical documentation, playbooks, and best practices that scale advertiser adoption globally. - Help train internal sales and success teams on technical capabilities, integrations, and evolving product features. You will thrive in this role if you: - Have 5+ years of experience in solutions engineering, sales engineering, technical account management, adtech, martech, or a related client-facing technical role. - Have hands-on experience with digital advertising measurement, pixels, conversion APIs, mobile measurement, identity solutions, or CRM/data integrations. - Understand advertiser ecosystems including tag managers, CDPs, analytics tools, attribution platforms, and data warehouses. - Can explain complex technical concepts clearly to both technical practitioners and executive stakeholders. - Have experience writing SQL, using APIs, debugging implementation issues, or working with structured datasets. - Are comfortable operating in ambiguous, fast-moving environments and helping build processes from scratch. - Demonstrate strong ownership, bias for action, and customer empathy. - Care deeply about responsible platform growth, user trust, and long-term partner success. 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.

👤 HumanFull-timeSenior

By OpenAISep 21, 2026

Product Communications Lead, Business

$297,000 – $330,000

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Our Communications team supports that mission by explaining our technology, our values, and how we safely build powerful AI. We help business leaders see what AI can make possible for their organizations, show how customers use OpenAI’s products, and explain how AI is changing the way people work. About the Role We are looking for a senior product communications leader to own OpenAI’s B2B product story across business, trade, and nontraditional media. You will lead B2B communications for major product and platform moments, translate technical capabilities into clear business value, and build a sustained editorial program grounded in customer proof. Your work will help business leaders understand the problems our products solve and the outcomes they can enable using frontier intelligence. This is an exceptionally fast-paced, hands-on role that spans every altitude of communications. You will move from setting strategic positioning and shaping executive narratives to writing launch materials, developing media pitches, and delivering the details that make a story land. Working closely with Product, Research, Marketing, Sales, and our central Product Communications team, you will identify buyer needs, substantiate our claims, and carry a clear, consistent B2B story into the market. This role reports to the Head of Business Communications. In this role, you will: - Set the positioning for OpenAI’s business products, connecting new capabilities to customer needs, the work they enable, and the evidence behind our claims. - Lead business storytelling for priority launches across Codex, ChatGPT Work, API and developer capabilities, agents, and other enterprise products, in partnership with central Product Communications and product owners. - Build a sustained editorial program between launches, using customer stories, explainers, and executive perspectives to show how our products create value in practice. - Turn complex product developments into clear, accurate stories for people who buy, build with, or assess our products. - Build relationships with reporters and other voices who shape enterprise technology decisions, developing stories that extend beyond launch-day coverage. - Drive launch execution from early messaging and customer proof through spokesperson preparation, media outreach, and learning from the response. - Advise senior partners on the business story, clarify ownership and expert review early, and help teams make sound decisions quickly when priorities change. You might thrive in this role if you have: - Deep experience communicating complex enterprise technology in terms of business needs and outcomes. - A record of leading significant launches and building a durable market narrative between them. - Excellent writing, with a habit of explaining technical capabilities without jargon. - Strong judgment about what enterprise buyers need to know, what customer evidence supports, and where future ambition begins. - The confidence to work closely with senior executives and bring teams to a decision under pressure. - The ability to move from strategy into hands-on execution at speed, and curiosity about new ways to reach business audiences. 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.

👤 HumanFull-timeSenior

By OpenAISep 21, 2026

Partner Solutions Engineer, Ads Solutions - San Fr...

$234,000 – $260,000

About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role We’re looking for an Ads Solutions Engineer to partner with advertisers and agencies throughout the pre-sales and growth lifecycle, helping them successfully evaluate, launch, and scale on OpenAI’s advertising platform. You will serve as the technical expert in the sales process, translating advertiser objectives into scalable technical solutions across measurement, integrations, data activation, and campaign execution. This role sits at the intersection of sales, product, and engineering. You’ll work closely with Client Partners, Customer Success Managers, Product, Engineering, Policy, and Operations teams to remove technical blockers, accelerate revenue growth, and shape the future of OpenAI’s ads platform. This role is based in our San Francisco HQ and we offer generous relocation support for new hires. In this role, you will: - Partner with Client Partners during the sales cycle to provide technical expertise that unlocks new business and accelerates deal closure. - Lead technical discovery with advertisers and agencies to understand data flows, martech stack, measurement requirements, and activation goals. - Design and recommend implementation approaches for pixels, APIs, server-to-server integrations, identity solutions, offline conversions, and measurement frameworks. - Guide advertisers through onboarding and launch readiness, ensuring successful setup of tracking, attribution, audience signals, and reporting. - Troubleshoot technical issues related to implementation, signal quality, delivery, and measurement performance. - Build compelling demos, proofs of concept, and technical narratives that demonstrate the value of OpenAI’s ads solutions. - Partner cross-functionally with Product and Engineering to escalate issues, advocate for customer needs, and influence roadmap priorities. - Create repeatable technical documentation, playbooks, and best practices that scale advertiser adoption globally. - Help train internal sales and success teams on technical capabilities, integrations, and evolving product features. You will thrive in this role if you: - Have 5+ years of experience in solutions engineering, sales engineering, technical account management, adtech, martech, or a related client-facing technical role. - Have hands-on experience with digital advertising measurement, pixels, conversion APIs, mobile measurement, identity solutions, or CRM/data integrations. - Understand advertiser ecosystems including tag managers, CDPs, analytics tools, attribution platforms, and data warehouses. - Can explain complex technical concepts clearly to both technical practitioners and executive stakeholders. - Have experience writing SQL, using APIs, debugging implementation issues, or working with structured datasets. - Are comfortable operating in ambiguous, fast-moving environments and helping build processes from scratch. - Demonstrate strong ownership, bias for action, and customer empathy. - Care deeply about responsible platform growth, user trust, and long-term partner success. 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.

👤 HumanFull-timeSenior

By OpenAISep 21, 2026

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