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Senior Unreal AI Developer at welevel GmbH. German games industry role. Company category: Developer. Job category: Tech / Programming. Job type: Full-Time. Added: 06.06.2026.

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Country Lead, Data Center Security

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 role Anthropic's Data Center Security Engineering team owns physical security for the data centers where our AI systems are built and run from greenfield construction through live operations, across our own and partner-operated sites. As our footprint grows internationally, we're hiring our first security operations presence in Australia. This is a country-lead role as the senior DCSE presence in Australia with a deliberate tilt toward security systems and systems architecture. You'll be the on-the-ground owner of day-to-day security operations for the region, and you'll also be the technical owner of the systems those operations run on: access control, video management, intrusion detection, and visitor management platforms and, just as importantly, the way they integrate. We want someone who thinks in data flows and system interfaces, not just devices You'll help design and build toward that architecture while keeping regional operations running with high reliability. You'll work closely with US-based security engineering and operations teams, with the time-zone offset as a feature: this role anchors coverage and escalation when the US is offline, and may help stand up a regional 24/7 monitoring capability as the program matures. Key responsibilities - Serve as the regional operations lead for data center physical security in Australia: run site security programs, coordinate with site operators and contract guard forces, and own in-region incident response and escalation - Administer and operate the region's electronic security systems access control, video management (VMS), intrusion detection, and visitor management including configuration, health monitoring, and lifecycle management - Design and document security systems architecture: device schedules, integration points, data flows, and network topology for security infrastructure at new and existing sites - Build and maintain integrations that bring security data sources (video, access events, alarms, sensors) into centralized monitoring and analysis platforms - Support construction-phase security for new builds and modular deployments in region: design reviews, commissioning of security systems, and security gates before handover - Manage regional security vendors and integrators scoping, delivery quality, and accountability - Write and maintain the operational backbone: post orders, standard operating procedures, and audit-ready documentation for regional security controls - Provide after-hours coverage and structured handoffs to US-based teams as part of follow-the-sun security operations Minimum qualifications - Hands-on experience administering enterprise physical security systems, including access control platforms and video management systems (e.g., Genetec, Lenel, Milestone, C•CURE, or comparable) - Experience running physical security operations at data centers, critical infrastructure, or comparable high-security facilities - Ability to produce and work from security design documentation: drawings, device schedules, and network diagrams - Remote within N

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Financial Reporting Accountant

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 Role We are seeking an experienced Financial Reporting accountant to join our Finance team at Anthropic. In this role, you will be responsible for executing key aspects of our financial reporting processes, ensuring compliance with US GAAP, and supporting the implementation and optimization of our reporting systems. Reporting to the Financial Reporting Lead, you will play an important role in maintaining robust reporting frameworks that support our growth while upholding the highest standards of accuracy and transparency. You will work closely with cross-functional teams to prepare timely and accurate financial statements, support external audit processes, and drive continuous improvement in our reporting capabilities. This role offers the opportunity to contribute to the financial reporting infrastructure of a leading AI company while working at the forefront of transformative technology. Responsibilities: - Prepare and review external financial reporting deliverables, including quarterly and annual financial statements, ensuring full compliance with US GAAP and applicable reporting standards - Execute month-end, quarter-end, and year-end close processes, coordinating with accounting teams to ensure timely and accurate completion - Conduct technical accounting research and prepare documentation for complex transactions, including stock-based compensation (ASC 718), derivatives (ASC 815), lease accounting (ASC 842), as well as supporting implementing new accounting standards - Support the implementation and day-to-day operation of Workiva for financial reporting, controls documentation and compliance - Serve as a key point of contact with external auditors, coordinating audit requests, preparing supporting documentation, and ensuring efficient completion of audit procedures - Support the design and implementation of internal controls over financial reporting (ICFR) - Partner with the Finance Systems team to ensure seamless integration between ERP systems and reporting platforms - Develop and maintain accounting policies and procedures documentation - Collaborate with Legal, Investor Relations, Tax, Equity Accounting and Finance & Strategy teams to ensure alignment between management and external reporting - Contribute to special projects as needed, including system implementations, process improvements, and reporting automation initiatives You may be a good fit if you: - Bachelor's degree in accounting - Hold a CPA license (or equivalent) or are actively pursuing CPA (or equivalent) certification - 7+ years of accounting experience, including experience in public accounting - Possess expertise in US GAAP and SEC reporting experience is a plus - Hands-on experience using Worki

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Mid-Market Account Executive, Industries

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 role As a Mid-Market Account Executive on Anthropic's Industries team, you'll drive the adoption of safe, frontier AI by securing strategic deals with mid-market companies in key verticals, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise and technical acumen to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. You will be contributing to the GTM strategy for our Industries team, focusing on sector-specific solutions and strategies within key verticals. In addition, the Mid-Market team is pioneering a new scaled sales playbook, where human AEs direct AI Agents to automate key elements of the buyer’s journey, while maintaining human engagement with prospects in the elements of a sales process that can’t be automated. You should be passionate about building a fundamentally new sales motion, by experimenting with new programs and workflows, and ultimately evangelizing the potential of Transformative AI to mid-market companies across verticals. Responsibilities: - Contribute to the Mid-Market GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams - Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals - Own a revenue target and all aspects of the sales cycle from prospecting to close, including finding key workflows to automate and agentify - Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations - Collaborate extensively with cross-functional partners including Product, Customer Success, Legal, Marketing, and Applied AI to help bring new solutions to market and provide feedback to shape roadmaps - Develop sales collateral, proposals, and presentations to effectively position Anthropic's AI products. Continuously refine sales tactics and share best practices You may be a good fit if you have: - 3+ years of enterprise B2B sales experience in technology, preferably in SaaS, API solutions, or emerging technologies - Experience automating workflows or building automations to handle the repeatable components of a sales process - Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives - A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player - A strategic, analytical approach to assessing markets combined with creative, tactical execution to cap

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Manager of Commercial Partnerships, Robotics

Negotiable

As the Manager of Commercial Partnerships , you will be the owner of the end-to-end success of our Workplace & Industrial data collection program across Mexico. This is a high-impact role where you are responsible for the strategic output of our regional partners. You will oversee a dedicated support team and manage the full lifecycle of our Workplace and Industrial partnerships—from sourcing and onboarding to ensuring each site hits its critical data collection targets. You are a "Builder-Operator." You enjoy the challenge of scaling a technical program in a dynamic market like Mexico. You are as comfortable analyzing a data-integrity spreadsheet as you are walking a factory floor or coaching your team through a difficult hardware deployment. You will: - Program Ownership: Define and hit the North Star metrics for the Mexico region: data volume, data quality, and hardware uptime across all partner sites. - Team Leadership: Hire, train, and manage a team of Field Operations Specialists. You will define their schedules, set performance KPIs, and ensure they provide technical support to our Workplace & Industrial business partners. - Strategic Partner Management: Act as the senior point of contact for our industrial partners. You will source new partnerships, oversee hardware deployment and replacement, and ensure long-term site production and retention. - Cross-Functional Liaison: Act as the primary link between the Mexico field operations and the HQ Engineering/Product teams, providing data-driven insights to improve hardware reliability. - Data Output Accountability: Own the data collection output for Workplaces across Mexico. You are responsible for ensuring that all sites are hitting their weekly collection targets and that the data being uploaded is high-quality and customer-ready. - Regional Travel & Oversight: Coordinate and participate in travel to partner sites across Mexico City and other states to onboard partners, audit operations, lead complex deployments, and maintain high-level partner relationships. Ideally you'd have: Education & Experience - Professional Background: 5+ years of proven experience in operations, business development, or program management within fast-paced, dynamic environments. - Education: Bachelor’s degree in Business Administration, Logistics, Industrial Engineering, or related fields (open to both technical and non-technical degrees). Business Development & Partner Management - External-Facing Success: Demonstrated track record of success in client-facing roles (Business Development, Sales, Partnerships) with exceptional client management and interpersonal skills. - Complex Project Structuring: Proven ability to structure, price, and negotiate large, multi-faceted projects involving Service Level Agreements (SLAs), operational risk management, and complex legal documentation. - Industry Network (Highly Preferred): An established, sophisticated network of senior-level contacts and decision-makers within the Mexican industrial/manufacturing sectors, alongside a history of converting th

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Technical Program Manager, CX Intelligence & AI

Negotiable

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As the Lead Technical Program Manager for CX Intelligence & AI (CXI), you'll be the embedded program management owner for all of CX, driving cross-functional execution across CX Ops, CX Programs, Product/Engineering, and Analytics. CXI is responsible for transforming Coinbase Customer Support from a reactive operations center into a highly effective, AI-powered support experience that is better for customers and more efficient for Coinbase. You'll create strategies for challenges where the solution is not yet well understood, independently plan programs with dependencies across product groups, and execute complex initiatives that require synchronizing timelines across multiple teams. This role is the connective tissue between CXI's intelligence layer and the engineering and product teams that build the AI infrastructure, and you will own overall project management, comms, status updates, key milestone dates, and cross-functional deliverables. What you'll do: - Define a strategic roadmap and partner with Engineering to deliver high-priority initiatives and innovative solutions to CX challenges, while executing ongoing and annual roadmapping for priority programs across multiple product areas and holding the line on quality across product and operational areas. - Own a large portfolio of agent tooling and SaaS initiatives spanning AI automation, customer/agent insights, analytics infrastructure, and support channel strategy, including evaluating external vendors for new AI automation solutions to leverage as part of the tooling stack. - Independently uncover CX and customer opportunities where neither the problem nor the solution is well understood, and drive alignment with CX and Engineering leadership to shift resources, launch new projects, or cancel existing initiatives by leveraging frameworks and presenting tradeoffs to drive the right business priorities. - Own opportunity sizing, define north-star success metrics, and set quarterly targets for shared KRs in partnership with EAA product managers, while managing the source of truth for OKR performance and program reporting to leadership (WBR/QBR). - Drive business process documentation to ensure proper change management and rollout of tooling and automation changes across CX. - Innovate with technology and drive AI-first solutions across all responsibilities, continuously identifying opportunities to leverage automation and emerging AI capabilities to improve CX outcomes. Required Skills and Experience: - 10+ years of experience in technical program management, product/program management, strategy, or related roles within complex, scaled technology environments, preferably supporting CX engineering teams, with prior experience building or materially transforming a CX functi

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Head of Programmatic Customer Success

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 role Anthropic's Customer Success organization covers our most strategic enterprise accounts through dedicated CSMs — but the majority of our customers will never be reached that way. Programmatic CS is how we close that gap: scalable digital journeys, AI-built engagement plays, and partner-delivered activation motions that drive habitual Claude adoption across a much broader customer base. This is a new function, and you'd be its first leader. You'll report to the Head of Customer Success and work closely with Product, Partnerships, Growth Marketing, and Strategy to design and operate the system that moves customers from signed contract to deeply embedded usage — without a 1:1 CSM relationship to lean on. The right person for this role has built something like this before, at real scale, and is genuinely excited to build it again from the ground up with better tools — including Claude itself as a core part of how the team operates. Key responsibilities - Define and own the programmatic CS strategy: how we tier accounts, what motion each tier receives, and how customers move between them as their needs evolve - Design and ship digital success programs — lifecycle communications, in-product nudges, self-serve onboarding — that drive activation and habitual usage without human-touch coverage - Build and run AI-powered engagement plays that extend the team's reach; work with Product to clarify what this team builds versus what lives in the product itself - Set the quality bar and requirements for partner-led activation, and maintain a tight feedback loop with our Partnerships team who owns the partner ecosystem - Establish the metrics framework for programmatic success: define what "activated" means at each tier, identify leading indicators, and build the instrumentation to track them - Run a rigorous experimentation program to understand which motions actually change customer behavior — and update the playbook when the data says to - Hire and lead a small, high-leverage team; bring cross-functional partners along on the vision and the operating model Minimum qualifications - Proven experience leading and building programmatic, digital success, lifecycle, or PLG motions at significant scale — with direct ownership of an adoption or activation outcome - Track record of building scalable systems and programs, not just managing existing ones; you've started from a blank page before - Strong cross-functional instincts — comfortable writing briefs that other teams execute against, resolving handoff ambiguity, and influencing roadmaps without direct authority - Data-driven approach to decision-making, including experience designing experiments that distinguish real behavior change from activity metrics - Experience managing and developing teams Preferred qualifications - Experience spanning more than one of: digital/PLG, partner ecosystems, lifecycle marketing, or scaled CS — ideally combined into a single integrated motion - Hands-on familiarity with AI-powered workflows or automation as a force multiplier for

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Safeguards Enforcement Analyst, Ban Evasion & Reci...

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 role As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be recidivism: a ban that an actor can evade in five minutes isn't enforcement — it's friction. You'll own detecting when banned actors return, linking accounts across identities, and closing the re-registration paths that matter most. The mandate includes our highest-stakes populations, including preventing evasion of child-safety enforcement bans, where the cost of a missed return is unacceptable. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities - Investigate evasion clusters end to end — from a single appeal or signal anomaly to the full linked actor network - Convert individual findings into durable systemic controls and detection proposals - Operationalize re-registration controls for high-severity ban populations - Partner with Engineering and Data Science teams on account-linking signals to connect returning actors across identities - Build the recidivism measurement framework: how often banned actors return, how fast we catch them, and which controls reduce return rates - Author playbooks for contractor-supported evasion review with QA against your own gold standard - Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows Minimum qualifications - Experience investigating ban evasion, multi-accounting, or repeat fraud actors at a platform with adversarial users - Fluency in SQL and comfort building your own analyses across large account and event datasets - Experience working with fraud or identity-linking signals and a working understanding of their precision/recall tradeoffs - Rigor about evidence standards — comfort with the asymmetric cost of false positives in severe-harm enforcement - A track record of turning one-off investigations into repeatable detection logic and policy - Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders - Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams Preferred qualifications - Experience using payment or network risk signals in an enforcement context - Experience with child-safety or other high-severity integrity enforcement - Experience collaborating directly with detection engineering or data science teams on rule deployment - A deep interest in AI safety and responsible technology development - Experience writing effective prompts for generative AI systems in a content revie

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Machine Learning Manager, Notifications Relevance

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Notifications Relevance Team focuses on delivering the right content to the right user at the right time through push, email, and in-app notifications. Our systems and algorithms operate on the world's largest corpus of human conversation, connecting Redditors with what matters - whether it’s recommending similar posts and subreddits, surfacing conversations they’ll care about, or introducing communities they didn’t know they needed. We are looking for an Engineering Manager to lead our Notifications Relevance team, shaping the future of Notifications at Reddit. In this role, you will lead a team of machine learning engineers dedicated to advancing our current Notifications Relevance systems. This is a high-impact team driving DAU growth and long-term user retention by connecting users to what matters most to them. If applying ML / AI in production to improve the relevance of Reddit Notifications excites you, then you’ve found the right place. What You’ll Do - Lead the team that architects and designs notifications relevance at Reddit. - Guide team on holistic, adaptive systems covering budgeting optimization, candidate retrieval, and ranking. - Work with ML engineers to design, implement, and optimize machine-learning models that drive personalization and user re-engagement. - Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy. - Build and maintain a diverse team that can collaborate across disciplines to find technical solutions to complex challenges. - Serve as a thought partner to product and upper management to ensure your team’s plans align with company goals. - Communicate your team’s work and set expectations with cross-functional stakeholders. - Help your engineers identify career goals and create development plans to achieve them. - Constantly seek opportunities to push your engineers & managers outside their comfort zone and turn followers into leaders. You Have: - 2+ years of experience building and managing engineering teams. - 5+ years of experience as a Machine Learning Engineer or Software Engineer working on large-scale machine learning systems. - Deep understanding of building and deploying large-scale recommender systems (retrieval + ranking) in production. - Hands-on experience working with deep learning models, sequential features and real-time systems. - Experience with distributed t

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Travel & Expense Manager

Negotiable

Scale AI is looking to hire a highly motivated and enthusiastic Global Travel & Expenses Manager to join its Corporate Accounting team. This crucial role will play an integral part in building its global travel and expense operations in a fast-paced environment. This role will be responsible for managing the strategic Travel program and expenses cycle and supporting the month-end close process. You must have strategic thinking, strong analytical skills and an eagerness to learn, as well as be a collaborative team player. You’ll need to not be afraid to roll up your sleeves and pivot between high-level vendor negotiations and hands-on system troubleshooting and also doing tactical work. What you’ll be doing: - Design and execute the global travel category strategy , leading end-to-end supplier selection (RFP), onboarding, and lifecycle management for airlines, hotels, and ground transportation. - Architect high-leverage negotiation strategies to secure preferential rates and corporate benefits, ensuring maximum ROI on the company’s annual travel spend. - Champion "Preferred Supplier" adoption through creating policies, data-driven influence and internal marketing, optimizing corporate leverage and volume-based discounts. - Govern the global Travel & Expense (T&E) ecosystem , overseeing corporate credit card programs and employee reimbursements to ensure 100% alignment with fiscal policy and tax compliance. - Execute rigorous internal controls and audits , identifying leakage or non-compliant spending patterns and implementing corrective action plans. - Pioneer process optimization by auditing existing workflows and designing automated, scalable solutions that reduce friction for the traveler while increasing back-office efficiency. - Serve as the Functional Product Owner for travel-related technologies (e.g., Navan, Brex, etc), managing system integrations, troubleshooting technical hurdles, and leading future-state implementations. - Synthesize T&E data into actionable insights , delivering ad-hoc analysis and executive reporting that informs budgetary decisions and policy shifts. What we’re looking for: - Minimum 4 years of Travel, AP and/or accounting experience. - Experience with OBT software (Navan, Spotnana, Egencia, etc). - Experience with employee expenses systems: Netsuite, Coupa, Brex or other major systems. - Bachelor’s degree in Accounting/Finance, or related degree. - Strong understanding of full global travel industry. - Excellent organizational skills and ability to handle multiple priorities within deadlines. - Excellent AI, problem-solving skills and high level of attention to detail. - Excellent verbal and written communication skills in English. - Proficient knowledge of Microsoft Excel. - Remote based in México. - 15% travel, primarily to the USA but potentially also to worldwide Scale travel locations Nice-to-haves: - Experience with S2P software (Brex, Zip, LevelPath and/or Navan). - Prior experience at a fast growing start-up or public company. - Passion for the AI industry. </ul&

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Corporate Communication Lead

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 role Anthropic seeks a highly skilled communicator to lead Anthropic’s communications in India. As our first communications hire in India, you will develop and drive effective communications campaigns that advance Anthropic's position. The role will report to our Corporate Communications lead in the US. The ideal candidate should be a highly strategic thinker with a proven track record of delivering exceptional results, have strong market knowledge and excellent media relations. They should be skilled at working with a wide-range of local and global stakeholders to help navigate fast-paced, complex environments. Responsibilities: - Develop and execute communications strategies to elevate Anthropic's brand and effectively communicate our story and our momentum in India. - Craft messaging and talking points for major company announcements and milestones. - Build strong relationships with journalists and relevant influencers. - Partner cross-functionally with a wide range of teams including sales, marketing, legal, research, and policy. - Provide communications counsel to a wide range of stakeholders across the company including leadership. - Effectively plan for and manage communications risks. - Oversee executive interviews and speaking engagements. - Manage local agency relationships. You may be a good fit if you: - 15+ years of experience working in communications, ideally at a high growth technology company in a senior in-house position. - Have a strong record of driving communications in India and are equally comfortable driving proactive communications and handling reactive issues. - Are excellent at media relations, and issues management and have a deep understanding of the political and regulatory landscape in India. - Are a clear and superb written and verbal communicator. - Have a strong track record of translating complex technical language into compelling messaging. - Enjoy working cross-functionally with a range of technical and non-technical teams. - Are excited to translate insights about AI for broader audiences, ranging from the tech press to the general public. - Are results-oriented, with a bias towards flexibility and impact. - Care about ensuring that transformative AI systems are developed safely. 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

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Events Lead - EMEA (Contract)

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ElevenLabs is growing fast across EMEA, and our events programme needs to keep pace. We're looking for a contractor to take ownership of regional field events - trade shows, brand activations, and partner experiences - across multiple European markets. This is a hands-on execution role. You'll work autonomously, move quickly, and hold a high bar for what a world-class event looks like. You'll be embedded in a lean team, so you'll need to be comfortable making decisions, managing vendors, and adapting on the fly without heavy oversight. The right person for this role has done this before — ideally at a fast-moving tech or AI company — and knows what separates a forgettable event from one people talk about. - Own end-to-end logistics and delivery for field events and brand activations across EMEA - Manage third-party vendors, agencies, and venue relationships across multiple markets - Support trade show presence including booth builds, sponsorship fulfilment, and on-site execution - Coordinate with internal stakeholders across marketing, sales, and leadership to align on goals and messaging - Identify and flag gaps - from branding and signage to attendee experience - and solve them proactively Requirements - Proven track record running events across multiple European markets (not just the UK) - Comfortable owning both owned events and third-party sponsorships end

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Senior Staff Machine Learning Engineer, GenAI Plat...

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior Staff Software Engineer, you will help define and lead the vision for Reddit’s large-scale GenAI Platform, shaping the strategy, architecture, and operating model that enable teams across the company to build, deploy, and scale generative AI products with confidence. Contribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability. - Lead and execute the vision, strategy, and roadmap for Reddit’s large-scale GenAI Platform. - Define the platform architecture and operating model that enable teams to build, deploy, and scale GenAI products reliably. - Drive the strategy for a unified LAG Gateway supporting internally and externally hosted LLMs through consistent APIs and abstractions. - Set the direction for core platform capabilities such as rate and token limit management, intelligent failover, and production resilience. - Shape Reddit’s approach to an enterprise-grade RAG system - Establish the strategic direction for agentic AI workflows and tool-use patterns across the platform. - Own the end-to-end platform strategy from concept through production adoption and long-term evolution. - Drive MLOps and LLMOps standards across CI/CD, testing, versioning, evaluation, and lifecycle management. - Define best practices for observability, monitoring, governance, and operational excellence across GenAI systems. - Partner across engineering, product, and leadership to align platform investments with company priorities and user needs. - Champion platform thinking with a strong focus on scalability, reliability, performance, and developer experience. - Influence technical direction across teams by turning emerging AI capabilities into a scalable platform strategy. Who You Might Be: - 10+ years of experience in ML Engineering, AI Platform Engineering,

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Staff AI Engineer | US | Remote

Negotiable

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure - Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation - Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams - Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) - Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management - Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services - Build MCP servers,

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Technical Customer Support Team Lead

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ENTERPRISE SUPPORT TEAM LEAD (FULL-TIME, REMOTE) Who we are A global team united by curiosity and a shared mission: to be the first choice for AI audio. We're building a new category of technology from the ground up, moving fast, holding ourselves to a high bar, and giving everyone the autonomy to do their best work. The best idea wins, regardless of where it comes from. About the role As the Enterprise Support Team Lead, you'll oversee our Enterprise Support operations and lead a global team supporting our most strategic accounts. This is a critical leadership position that requires both deep technical expertise and exceptional people management skills. You'll be responsible for maintaining world-class responsiveness, driving operational excellence, and ensuring our enterprise customers receive the highest level of support. You're setting the standard for what great support looks like and mentoring your team to achieve it. WHAT YOU'LL DO - Lead and develop your team: Hire, mentor, and grow talented support specialists; drive higher performance and create a culture of excellence. - Own enterprise support operations end-to-end: Manage day-to-day metrics, KPIs, and ensure smooth operations across global shifts and time zones. - Provide hands-on technical support: Maintain your own technical expertise by actively supporting enterprise customers and complex issues

A

Real Estate Project Manager

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 role We are looking for a detail-oriented Real Estate Coordinator to join our Workplace and Real Estate team at Anthropic. This critical role will be a key coordinator in our global real estate projects across multiple office locations, serving as the central liaison between external project managers, vendors and internal stakeholders. The ideal candidate will bring 7+ years of corporate real estate project management experience, with exceptional organizational skills and the ability to manage multiple concurrent projects, maintain meticulous attention to detail in a fast paced environment. Project Oversight & Coordination - Coordinate the delivery of multiple real estate projects across an international portfolio, ensuring swift project set up, timely completion, and within budget parameters - Serve as primary liaison between external project managers and internal stakeholders, facilitating clear communication and project alignment - Assist in monitoring milestones, deliverables, and potential risks across all active projects - Support in project meetings and coordinate follow-through on all commitments Space Planning & Moves Management - Coordinate office moves and team relocations as we expand into new spaces and optimize existing neighborhoods - Develop move plans and timelines, coordinating with IT, Security, Facilities, and affected teams to ensure plans and roles and responsibilities are clearly communicated - Ensure moves are executed on time and with minimal disruption Financial & Administrative Management - Lead new project setup including obtaining Certificates of Insurance (COIs), processing initial wire transfers to new Landlords for deposits and first month rent, raising internal purchase orders (Zip), and coordinating with Finance Team on obtaining Letters of Credit - Coordinate with Finance team to ensure proper documentation and compliance with Treasury Regulation requirements and accountable plan policies - Maintain project budgets with external project managers and flag variances to leadership, ensuring fiscal responsibility across all initiatives - Support lease administration activities across the global portfolio Stakeholder Communication & Reporting - Prepare and distribute regular project status updates to stakeholders, creating written updates that clearly communicate progress, challenges (including mitigation steps taken) and next steps - Ensure all project documentation is properly maintained and accessible - In partnership with external project managers, ensure project delivery meets Anthropic standards Minimum Qualifications: - Possess exceptional attention to detail with strong organizational and time management skills - Have experience coordinating office moves, restacks, and space reconfigurations in corporate environments - Dem

E

Enterprise Solutions Engineer - Netherlands

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. This role is remote but the successful candidate should be based in Germany or surrounding area. ABOUT THE ROLE As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams. As a Solutions Engineer, you can expect to: - Collaborate strategically with Account Executives to enhance the technical aspects of the sales process. - Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions. - Craft compelling technical demonstrations that clearly communicate our product's value proposition. - Create technical enablement resources that amplify our sales team's effectiveness and technical fluency. - Build self-service tools and documentation that empower customers to implement solutions independently. - Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real! REQUIREMENTS We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you: - Are passionate

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Business Operations Manager

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’re looking for business operations managers to join the team. This person will work closely with folks across marketing, sales, operations, and finance across a variety of initiatives to help scale the business in our next phase of growth. You'll be a generalist who gets in the weeds on all the business and operational aspects of a high-growth startup. In this role, you will: - Drive in-depth quantitative analyses to inform our pricing and packaging strategy. - Help spin up our deal desk and streamline enterprise deals. - Support the exec team on various finance functions, from investor relations to large cloud vendor negotiations to identifying cost optimization opportunities. - Implement new tools and processes to enable the GTM org to grow rapidly. - Get creative on a spectrum of ad-hoc projects like securing new office space in Manhattan. REQUIREMENTS: We are looking for someone who: - Has 5+ years experience working in some kind of business function (e.g. banking, consulting, startup). - Has some exposure to tech and coding (in order to understand our product & customer, work with analytical tools, and build out custom tooling). - Is analytical, organized and detail-oriented, holds their output to a high bar of excellence. - Is eager to learn about a variety of different business functions and juggle many projects at once. - Is excited about working in-person in NYC.

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Sales Development - Netherlands

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE Our Sales Development team play a crucial role in building an effective outbound sales strategy, whilst working closely with the Account Executives. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will: - Conduct research to identify potential leads and prospects within the target market - Engage in outbound activities such as cold calling, emailing, and social media outreach to initiate contact with potential customers - Implement personalized and effective outreach campaigns to maximize lead conversion. - Collaborate closely with the Account Executive to exchange insights on prospect feedback, objections, and market trends - Continuously refine and adjust outreach strategies based on the feedback loop - Monitor and report key performance indicators (KPIs) related to outbound sales activities, including conversion rates, lead quality, and outreach effectiveness - Collaborate with the sales leadership to analyze data and optimize strategies for better results REQUIREMENTS - 2–3+ years of outbound B2B sales experience, with a strong track record of securing net-new business meetings - Proven ability to build and qualify opportunity-sized lead lists in new markets and verti

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Senior Manager, Accounts Receivable, Credit & Coll...

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. Senior Manager, Accounts Receivable, Credit & Collections (Americas) About the role Anthropic is scaling rapidly, and so is our customer base. As our commercial business grows across the Americas, we need a senior leader to own credit and collections for the region. You will join our Invoice to Cash (I2C) team and be responsible for the end-to-end credit and collections lifecycle for Americas customers, from onboarding credit reviews through dispute resolution and cash recovery. This is a senior people leadership role with meaningful strategic scope and a strong automation mandate. Anthropic expects its finance function to operate at the frontier of what AI and modern tooling make possible, and credit and collections is a natural place to lead from the front. You will manage a team of managers and analysts, set the credit and collections strategy for the region, and own the automation roadmap that lets us scale cash collection without linearly scaling headcount. You will partner closely with Sales, Legal, Deal Desk, and Customer Success leadership, and help shape the processes, policies, and systems that allow us to extend credit responsibly and collect efficiently at enterprise scale. You will report into the Accounts Receivable Lead and work alongside regional counterparts in EMEA and APAC to drive consistency in how we manage customer credit risk globally. If you enjoy building operational rigor in a fast-moving environment, have a track record of scaling credit and collections functions through automation and AI, and care about doing right by customers while protecting the business, we would love to hear from you. Key responsibilities - Set the strategic direction for Americas credit and collections, including portfolio management, aging reviews, and cash forecasting for the region. - Own the Americas collections automation roadmap, including segmentation strategy, dunning workflows, self-service payment experiences, and automated dispute routing. - Drive adoption of AI across the credit and collections workflow, including intelligent prioritization of collector outreach, AI-drafted customer correspondence, predictive risk scoring, and automated reconciliation of customer responses. - Lead, coach, and develop a team of credit and collections professionals, including people managers, setting clear KPIs around DSO, aging, collection effectiveness, and automation coverage. - Own credit risk strategy for new and existing Americas customers, including credit policy, credit limit frameworks, payment term guidelines, and data-driven escalation of higher-risk accounts. - Partner with Sales, Deal Desk, and Legal leadership on contract negotiations involving payment terms, credit exposure, and non-standard billing arrangements. - Drive timely resolution of material customer disputes in partnership with Billing Operations, Cash Application, and Customer Success. - Develop and refine credit and collections policies, playbooks, and escalation paths suited to a rapidly sc

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Industrial Security CSSO/CPSO, Washington DC

$158,000 – $225,000

About the Team The Industrial Security team enables OpenAI’s classified and national security work by building secure, compliant programs that support government customers and protect sensitive information. We partner across Security, Legal, People, Facilities, Engineering, IT, and program leadership to translate complex government requirements into practical operating models that allow important work to move forward responsibly. Our work spans personnel security, classified facilities, special programs, government customer engagement, and the safeguards required to operate in highly regulated environments. About the Role As a Senior Special Programs Security Manager, you will lead security operations for OpenAI’s Sensitive Compartmented Information (SCI) and Special Access Programs (SAP), serving in customer-designated roles such as Contractor Special Security Officer (CSSO) or Contractor Program Security Officer (CPSO). You will help shape how OpenAI operates across the Intelligence Community and other national security environments, building the relationships, processes, and security foundations required to support classified work at scale. We’re looking for someone who brings deep special programs expertise, sound operational judgment, and the credibility to work directly with government customers and senior internal stakeholders. This is a hands-on leadership role for someone comfortable navigating ambiguity, helping build the function, mentoring future team members, and finding compliant paths forward when mission needs and security requirements intersect. This role is based in San Francisco, CA, or Washington, DC. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. Additional onsite presence and occasional travel may be required based on classified program, facility, and government customer needs. This position requires active Top Secret eligibility, current SCI access, and a current counterintelligence (CI) polygraph at the time of application. Candidates must also be able to obtain and maintain additional customer-required accesses, including a full-scope polygraph if required. In this role, you will: - Lead SCI and SAP security operations across the program lifecycle, including access administration, indoctrinations and debriefings, security plans, classification requirements, incident reporting, inspections, and program closeout. - Serve as the designated CSSO, CPSO, or equivalent program security official for assigned government customers and classified programs. - Build and maintain trusted relationships with Intelligence Community and Department of Defense customers, government security officers, program security officers, and other external security stakeholders. - Oversee the establishment, accreditation, operation, modification, and inspection readiness of Sensitive Compartmented Information Facilities and Special Access Program Facilities. - Translate government regulations, contract requirements, DD Forms 254, security classification guides, and customer direction into practical policies, procedures, and operating decisions. - Coordinate closely with personnel security, information systems security, classified IT, Facilities, Legal, and program teams to establish clear ownership and integrated safeguards. - Lead self-inspections, security inquiries, corrective actions, customer assessments, and escalation of risks that could affect access, accreditation, or program execution. - Advise Industrial Security leadership, independently represent the security function, and provide operational continuity across critical programs and customer relationships. - Mentor and develop special programs security personnel while establishing the staffing, metrics, governance, and operating rhythms needed to support continued growth. - Enable classified work through risk-informed decisions while maintaining the judgment and authority to stop or escalate activity that would violate security requirements. You might thrive in this role if you: - Have substantial experience leading contractor security for SCI and SAP programs, including direct experience as a CSSO, CPSO, CSPSO, SSO, or comparable customer-designated security official. - Understand how Intelligence Community customers operate, including sponsor relationships, access processes, reciprocity, customer-specific requirements, and appropriate escalation channels. - Have strong working knowledge of the NISPOM, ICDs 703, 704, and 705, Intelligence Community technical specifications for SCIFs, DoDM 5205.07, applicable Security Executive Agent Directives, and related customer guidance. - Have established, accredited, operated, or modified SCIFs or SAPFs and can coordinate facility, physical security, information security, and technical accreditation requirements. - Have successfully managed government customer relationships and can communicate clearly with security officials, technical teams, program leaders, and senior executives. - Have led security inspections, customer reviews, incident response, corrective actions, and closure of complex compliance findings. - Exercise strong judgment under pressure and can distinguish between requirements that can be addressed creatively and boundaries that cannot be crossed. - Enjoy building teams, improving operating models, clarifying ownership, and creating durable processes in fast-moving environments, and are eager to use approved AI tools, agents, and automations to reduce administrative burden, improve visibility, and scale sound judgment without replacing sponsor approvals, security authority, or required human review. - Hold active Top Secret eligibility and current SCI access with a current counterintelligence polygraph, and can obtain and maintain a full-scope polygraph or other customer-required access. - Bring additional experience across multiple Intelligence Community or SAP customers, industrial security program buildouts, COMSEC, insider threat, or related security leadership disciplines. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Member of Technical Staff (Backend Software Engine...

Negotiable

We are seeking an experienced Backend Software Engineer to join our Crawler team. In this role, you will design, develop, and operate systems that ingest, process, and manage web-scale data in support of our next generation of advanced search technologies. This is a critical, high-impact engineering position, requiring expertise across both backend and frontend components of our data acquisition stack. Responsibilities - Take ownership of and lead projects focused on developing large-scale web crawlers, ingestion pipelines, and data processing systems. - Build, maintain, and optimize core backend and frontend components for crawler services, including storage, retrieval, and UI dashboards for data management. - Collaborate closely with Search and Infrastructure teams to ensure the reliable, high-quality ingestion and processing of billions of web pages. - Architect and implement fullstack features and scalable distributed systems that handle high-load and real-time data operations. - Rapidly iterate, experiment with novel approaches, and continuously enhance system performance, usability, and reliability. Qualifications - Minimum of 5 years of software development experience, with strong knowledge of data structures and algorithms in at least one of the following languages: Python, C++, Rust, or Go. - Experience with large-scale web crawlers is highly desirable. - Proven experience building, deploying, and optimizing high-load, distributed, and hardware-adjacent services. - Deep understanding of cloud infrastructure, with hands-on experience in Kubernetes (K8s) and AWS. - Demonstrated passion for writing clean, efficient, and scalable systems.

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Senior Product Solutions Architect - LLM Observabi...

Negotiable

The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success. Datadog’s LLM Observability product enables organizations to monitor, troubleshoot, and optimize large-scale LLM-powered applications with confidence, while meeting requirements around data privacy, compliance, and cost management. As a Product Solutions Architect, you will partner closely with Datadog customers and the LLM Observability product team to design architectures, implement best practices, and drive adoption of LLM observability across customer environments. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Serve as the in-house subject matter expert for Datadog’s LLM Observability product - Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting LLM Observability - Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community - Build proofs of concept and small-scale deployments to validate solutions and reproduce real-world customer environments - Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience Who You Are: - You bring a strong software engineering foundation, with hands-on experience building and operating LLM-powered applications in production environments at a large scale, and are comfortable diving deep into codebases to understand architectural decisions, tradeoffs, and implementation details - You are familiar with distributed systems and core observability concepts, such as tracing, metrics, and logging, and can translate those patterns into the emerging LLM observability domain, including LLM spans, evaluations, and prompt templates - Experience with languages such as Python and/or JavaScript/TypeScript - Comfortable operating in rapidly evolving, ambiguous technical domains - You build deep context across teams and translate it into reusable, scalable solutions - You take ownership from problem definition through implementation and measurable outcomes - Highly detail-oriented, particularly when working on architectures and customer-facing technical assets - You bring strong listening and consultative skills and are experienced supporting customers in high-pressure, complex situations - Able to sit up to 4 hours, traveling to and from client sites - Able to travel via auto, train, or air up to 40% of the time Bonus Points: - Successful track record with 5+ years experience working as a Solutions Architect or Sales Engineer supporting the AI space - Experience using Datadog and/or other observability tools in an SRE or DevOps capacity - Experience with LLM application evaluation and testing frameworks<

2

Senior AI Engineer

Negotiable

Cloud Chamber is seeking a Senior AI Engineer to join our talented development team to further push the development of the AI Systems and AI Archetype for BioShock 4. We have high ambitions for tying AI and storytelling together in our project. It will be your responsibility to crystallize that ambition, helping to support several AI systems, and bring several AI Archetypes to life. In this role, you’ll collaborate with an engaged team to push the state of the art and experiment with unproven ideas. We are attempting new and ambitious things with AI in this game. You are bold, brave, and believe in an iterative, experimental approach to game development, moving comfortably between design and engineering, collaborating and communicating ambition and limitations. What You’ll Do: - Collaborate with the team to: - Iterate and polish existing AI Systems and Archetypes. - Bring new Archetypes into existence. - Take confident ownership over the architecture and implementation within the systems of your domain. - Work on implementation and maintenance of AI behavior tree and associated systems. - Focus and help plan for ensuring all of our AI Systems and Archetypes operate performantly and within memory budgets. - Improve design-facing tools for authoring and scripting combat encounters. - Create and maintain technical documentations. - Review the work of other engineers and share expertise in your area of knowledge. What We’ll Do Together: <span style="font-size: 12pt; font-family: helvetica, arial, sa

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Senior Computational Biologist - Early Discovery O...

Negotiable

Your work will change lives. Including your own. The Impact You’ll Make As a computational biologist within Recursion’s early discovery team, you will be at the forefront of reimagining drug discovery from first principles. Your mission is to integrate Recursion’s massive datasets—phenomics, transcriptomics, genomics, proteomics—to nominate novel targets, validate disease biology, and define the precision oncology strategies to advance our most promising therapeutic targets into full-fledged drug discovery programs. This is a highly collaborative role: you will partner with biologists, chemists, data scientists, platform and data engineers, and translational experts to develop and scale methods for target discovery and validation. You will also partner with computational scientists from across the organization to develop novel approaches to agentic target packages, early translational de-risking, and mechanism of action identification. The ideal candidate has strong stakeholder management, technical communication skills, and 3+ years biotech or pharma experience in early drug discovery. We are hiring for two roles on a new target ID team, one domain expert in immunology and inflammatory diseases and one in precision oncology (this role). In this role, you will: - Drive Target Discovery: Evaluate the molecular evidence for target nomination and validation, leveraging Recursion’s platform to identify novel vulnerabilities in precision oncology disease biology - Pilot novel methods for target discovery, validation, and early patient population hypotheses to send programs into nomination cascades - Define internal criteria for target data packages and early patient population strategy - Connect your innovative analysis methods to platform and engineering teams so that we solve the current project and accelerate future ones - Collaborate cross-functionally: Partner with biologists, medicinal chemists, translational, and portfolio leads to build compelling data packages that drive program milestones and internal investment decisions. - Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients. The Team You’ll Join Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. Our expertise spans precision oncology, I&I (immunology and inflammation), and neuroscience and we focus on advancing novel, targeted therapies in these disease areas. We partner closely with other functions to design and execute impactful and decisional data analyses for new targets and drug programs and are responsible for data strategy across the portfolio. We prioritize career development, fluency at the intersection of biology and technology, and a strong network of technical feedback and support. The Experience You’ll Need - PhD in a relevant field (computational biology, bioinformatics, systems biology, cancer biology, etc.) with a very strong computational focus and 3+ year

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Controller

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’re hiring a Financial Controller to lead accounting and reporting as we scale. This is a high-impact role where you’ll build the systems, processes, and team that keep our financial foundation strong. You’ll own reporting and controls, ensure clean operations, and be a trusted partner across the company as we grow. You’ll report to our VP of Finance and collaborate closely with senior management. You’ll also oversee relationships with auditors, tax advisors, and other external partners. In this role, you will: - Oversee day-to-day accounting operations: GL, revenue recognition, AP/AR, payroll, and cash management - Drive the close process each month, delivering accurate, timely results under US GAAP - Lead financial reporting and analyses to inform strategic decision-making and investor relations - Own technical accounting areas (ASC 606, stock-based comp, consolidations, transfer pricing) - Maintain rigorous internal controls and manage audits and compliance - Improve our systems and build a high-performance accounting team - Partner across the organization on revenue recognition, entity structuring, and global expansion REQUIREMENTS: - CPA with Big 4 audit experience - 10+ years of experience across accounting and finance - Familiarity with usage-based pricing models - Hands-on experience with QuickBooks, NetSuite, Ramp, and other systems - Deep knowledge of US GAAP and internal controls - Ability to work in-person in our NYC office

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Trust & Safety Operations Analyst, Ads

$252,000 – $280,000

About the Team At OpenAI, Trust & Safety Operations is central to protecting OpenAI’s platform, customers, and the public from abuse. We partner closely with Product, Engineering, Legal, Policy and Go To Market teams to identify emerging risks, build and mature enforcement systems, and ensure high-integrity operations while delivering a great user experience at scale. We’re building the Monetization Trust & Safety Operations team to ensure OpenAI can grow advertising in a way that is safe, trusted, and sustainable—for users, advertisers, and the business. This team sits at the intersection of operational scale, product risk, and rapid revenue growth, designing systems and operations that enable ads to scale without compromising user trust or safety. It’s critical to us that our Ads product be built in a way that corresponds to our Ads principles , and this team is key to that. About the Role We’re looking for a senior operator to help build and scale Monetization Trust & Safety Operations at OpenAI. In this role, you’ll own critical Ads T&S workstreams from problem framing through scaled operation, partnering closely with Product, Policy, Engineering, Legal, and Go To Market to turn ambiguous priorities into durable operating models. This role sits at the intersection of strategy and execution: you’ll define scope, align owners, manage milestones and risks, resolve dependencies, and build the workflows, decision structures, and operating mechanisms that allow Ads Trust & Safety to scale. You’ll move between standing up new programs, stabilizing existing workflows, and handing off durable ownership as priorities evolve. As OpenAI introduces new revenue-generating formats and partnerships, you’ll bring structure to complex initiatives that balance user safety, advertiser experience, and business growth. You’ll use data and frontline signals to identify bottlenecks, quality gaps, capacity needs, and high-leverage interventions, and communicate clear recommendations and tradeoffs to cross-functional partners and leadership. In this role, you will: - Own complex, high-impact Ads Trust & Safety programs from problem framing through launch, stabilization, and scaled operation. - Define program scope, owners, milestones, risks, success measures, and execution cadence for strategic operational builds. - Translate policy, risk, technical, legal, and operational constraints into workflows, requirements, playbooks, escalation paths, and decision structures. - Coordinate across Product, Policy, Engineering, Legal, Go To Market, Support, vendors, and other partners to resolve dependencies and keep critical work moving. - Move flexibly across priorities—standing up new programs, improving existing workflows, strengthening handoffs, and transitioning durable ownership to the right teams. - Use operational data and frontline signals to identify bottlenecks, quality gaps, capacity needs, ownership failures, and the highest-leverage interventions. - Drive high-priority escalations and cross-functional decisions to closure with clear context, accountable owners, next steps, and durable follow-through. - Create program mechanisms that make operations run well, including roadmaps, decision logs, status updates, risk registers, operating reviews, and executive communication. - Identify where AI tools, automation, lightweight systems, or simpler workflows can improve speed, consistency, and scale while preserving appropriate human judgment. You might thrive in this role if you: - 8+ years of experience in program management, strategy and operations, product operations, technical program management, Trust & Safety, Risk Operations, Ads or Monetization Operations, or a related field. - Deep familiarity with ads ecosystems, advertiser risk, or high-stakes scaled operations. - Proven ability to take complex, ambiguous, cross-functional work from problem framing through launch and scaled operation. - Strong organizational and execution skills; able to manage many moving pieces while staying focused on the decisions and risks that matter most. - Strong operational judgment and systems thinking—able to design operating models that scale beyond manual review. - Experience building trust and driving alignment across Product, Policy, Engineering, Sales, Legal, Support, vendors, and other partners without direct authority. - Comfort using data and operational metrics to identify bottlenecks, prioritize work, measure impact, and inform tradeoffs. - Technical and analytical fluency to reason about dashboards, data flows, tooling gaps, automation, and failure modes, even if you are not writing production code. - Excellent written and verbal communication skills, including the ability to explain complex risk tradeoffs, decisions, and incomplete evidence to operational, technical, policy, and executive audiences. - Experience with launch readiness, QA programs, workflow automation, vendor operations, or AI-assisted operations, with strong judgment around safeguards and responsible deployment. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Ads Conversion Modeling, Machine Learning Engineer...

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit’s lower funnel business is rapidly growing and pushing the heavy ranking web conversion models towards state-of-the-art is critical for continued growth. The Conversion modeling Team plays a pivotal role in developing and maintaining machine learning models that drive user conversions from Reddit Ads, with a special focus on predictive modeling around interactions like purchase, signup, add to cart, and other lower funnel user actions. As we expand our machine learning infrastructure and incorporate new engagement signals, we are looking for a skilled Engineering Manager who can lead this critical team. This role is well-suited for a leader with deep machine learning expertise, strategic vision, and a collaborative mindset to engage with both technical and cross-functional stakeholders. We’re a remote-friendly company, and this position is open to candidates anywhere in the U.S. Target Skills and Expertise The Engineering Manager (EM) will be responsible for defining the team’s vision, setting strategic direction, and executing a technical roadmap for conversion modeling at Reddit. This involves: - Model Architectures: Expertise in architecting and implementing deep learning models, with experience in ranking, recommendation, or conversion modeling. - ML Frameworks: Proficiency with mainstream ML libraries (TensorFlow, PyTorch). - End-to-End ML Lifecycle: Experience in training, testing, and deploying production-grade machine learning models. - Data Pipelines: Experience orchestrating large-scale data generation and processing pipelines. - Ads domain Experience: Experience in interaction of ranking model with rest of Ads systems like bidding, auction, retrieval etc - Ads Modeling (Preferred): Background in ads modeling or familiarity with engagement prediction models in the ads domain is beneficial. Role responsibilities: The EM will lead a diverse, high-impact team and will need to navigate and foster collaboration with various teams such as PM, DS, and engineering functions within Ads. Ideal candidates will have: - People Management Experience: Prior experience managing engineering teams with a strong emphasis on technical mentorship and team growth. - Set Technical Vision and Strategy: Abilit

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Senior Staff Product Manager, Member & AI Experien...

Negotiable

Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: - Fortune Change the World (2024) - CNBC Disruptor 50 List (2022, 2023, 2024) - Fortune Best Workplaces for Millennials (2024) - Fortune Best Workplaces in Health Care (2024) - TIME 100 Most Influential Companies (2023) - Fast Company Most Innovative Companies (2020, 2023) - Built In Best Places to Work (2023) - Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024) - Great Place to Work certified (2020, 2021, 2022, 2023, 2024) - Fast Company Best Workplaces for Innovators (2022) - Built In LGBTQIA+ Advocacy Award (2022) About the role The member experience is how Maven's decade of clinical depth shows up for the people we serve. The homepage they land on, the AI that answers their questions, the community that makes them feel less alone. It's what turns an eligible member into an engaged one, and an engaged member into someone who stays. We're hiring a Senior Staff PM to make the experience dramatically better: more intuitive, more personal, more useful. You will work closely with Clinical Product and the AI Platform team to make sure the experience serves members effectively across every program. You report directly to the SVP of Product. What You’ll Do: - Own the core member experience surfaces: homepage, conversational AI, and community - Build and run a high-velocity experimentation engine: form hypotheses, ship tests, read results honestly, and compound learnings week over week - Define the metrics that matter, instrument them, and use them to drive decisions from first visit through activation and retention - Bring a strong point of view on how AI changes what we build for members and how fast we build it, and put it to work in your own workflow - Go deep on engagement data: where members activate, where they drop off, and where the experience is or isn't working - Build close partnerships with Clinical Product and AI Platform What we are looking for - 10+ years in product with direct experience building consumer-facing products - Experience with conversational AI, homepage, and community surfaces - Strong consum

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Member of Technical Staff (Software Engineer, Inte...

Negotiable

Description In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Integrations team builds the systems and products that let Perplexity connect to user data and workflows across multiple verticals, turning connected data into reliable, AI-powered experiences people use every day. As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems. You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS Why Perplexity is different - Craftsmanship. We build high-quality, tasteful products targeting both the AI-native and AI-curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each other’s strengths, break down silos, and give selflessly to help our colleagues deliver excellence. What you'll do - Build agentic apps, features, and workflows that make Perplexity a daily driver for users. - Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day. - Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar. - Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue. - Set technical direction, mentor engineers, and partner with AI, Design, Data Science, and Infra to ship products that don't exist anywhere else. Qualifications - 6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end. - Demonstrated technical leadership: you've owned large, ambiguous projects, set direction, and driven them to clear outcomes. - Strong execution: you ship many products and experiments in parallel and drive each to a measurable result. - Strong product judgment; you translate user behavior and product opportunities into simple, effective technical solutions. - An "extra zero" mindset: you aim for outcomes that are 10x, not 10%, and own the result end-to-end. - Self-motivated with strong ownership instincts; you propose ideas, ship features ahead of schedule, and drive improvements without asking for permission. - Experience mentoring engineers and raising the technical bar of a team. - Genuine interest in and adoption of AI products and willingness to learn quickly. Nice to have - Domain expertise in verticals such as finance, healthcare, legal, or operations. - Experience building agentic product surfaces. - Time at a fast-growing startup or high-ownership engineering team.

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Research Engineer, Computer Use

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 role The Computer Use team focuses on teaching Claude to see, use, and understand computer interfaces. As a Research Engineer on the team, you'll work on advancing our models' ability to reliably and safely operate real software. We're looking for someone who's genuinely excited about both the research and the product sides of computer use. Your work will translate directly into model improvements in our own and our customers' products. You can try Claude's computer use capabilities today through the Claude in Chrome extension and Claude Cowork. Key Responsibilities: - Design and run experiments to improve Claude's perception and agentic capabilities - Develop robust, reliable evaluation frameworks for measuring our models' ability to complete complex computer tasks - Build and improve computer use and vision reinforcement learning training environments - Create pipelines and tools to test and validate complex RL environments - Collaborate with teams across the model training and infrastructure stack to improve our production training setup - Partner with product teams to bring research advances into production Minimum Qualifications: - Software engineering experience and proficiency in Python - Experience training, fine-tuning, or evaluating machine learning models - Strong communication skills and a collaborative working style - Care about the societal impacts and safety of your work Preferred Qualifications: - Experience training models for computer use or other agentic capabilities - Experience with reinforcement learning, particularly in long-horizon or sparse-reward settings - Familiarity with multimodal model training - Experience building evaluations or benchmarks for agentic systems - Experience building reinforcement learning environments, simulation systems, or large-scale ML infrastructure - Experience working closely with product teams to drive model improvements 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: $500,000 - $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 experie

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Commercial Counsel, EMEA

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 Role Anthropic is seeking an exceptional Commercial Counsel to join our founding Commercial Legal team in EMEA. You'll serve as a strategic legal partner to our sales teams, supporting complex deal negotiations and commercial activities that fuel our expansion with leading EMEA companies and organizations across all market segments, from SMB to large enterprises. In this highly impactful role, you'll guide sophisticated technology transactions across diverse industries and client sizes while providing strategic counsel on the unique legal and regulatory considerations for responsible AI deployment throughout the EMEA region. Key Responsibilities - Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in EMEA, including enterprise customer contracts - Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance - Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements - Identify and escalate legal risks appropriately while supporting business momentum - Stay current on legal developments affecting AI technologies - Foster relationships with external stakeholders, including clients of all sizes, regulatory bodies, and industry partners across the EMEA region Minimum Qualifications - Law degree and qualification to practice law in a relevant EMEA jurisdiction - Experience drafting, reviewing, and negotiating commercial agreements, such as enterprise customer contracts or SaaS agreements - Strong legal writing skills, with the ability to translate legal concepts for non-lawyer audiences Preferred Qualifications - Exposure to commercial contracts, SaaS agreements, or technology transactions - In-house experience at leading technology companies with EMEA operations - Experience with AI, machine learning, or other experimental technologies in commercial contexts - Experience supporting sales teams across diverse client segments in deal negotiations - Experience navigating multi-stakeholder agreements involving technical and policy considerations - Curiosity about AI technology and AI policy, and a commitment to responsible AI development - A collaborative, low-ego approach and a willingness to roll up your sleeves and pitch in where needed - Comfort working in fast-paced environments with shifting priorities - 4+ years of legal experience Role-specific policy: For this role, we expect all staff to be able to work from our London office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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 includ

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People Technology Lead

Negotiable

Your work will change lives. Including your own. The Impact You’ll Make: At Recursion, we are decoding biology to radically improve lives. Scaling our impact at the intersection of machine learning and experimental science requires world-class People systems. We’re seeking a Global People Technology & Architecture Lead for our global HR technology ecosystem. This role owns HiBob configuration, workforce analytics, system integrations, compliance, and AI-enabled innovation across the People function. You will ensure our People infrastructure is scalable, intelligent, and built to support a rapidly evolving scientific and technical workforce across the US, UK, and Canada. This is a high-impact role for a systems thinker who blends hands-on technical expertise with strategic workforce insight. Our ability to move faster in decoding biology depends on having the right talent, supported by the right systems. This role ensures Recursion’s People technology ecosystem is scalable, insight-driven, compliant, and aligned to our ambitious growth. In this role, you will: - Serve as functional and technical owner of HiBob across Core HR, Compensation, Talent, and Workforce Planning, and technical owner of Greenhouse, PAVE, Bridge and other people technology tools - Lead system enhancements, design, and vendor management - Assist in driving tech stack optimization and scalable system architecture in partnership with IT and Finance - Identify and implement AI and automation solutions that streamline workflows and enhance our manager and employee experiences - Build intelligent systems that elevate decision-making and operational efficiency. - Translate workforce data into actionable insights that inform organizational design and capacity planning, while developing dashboards and advanced reporting - Oversee integrations across HRIS, payroll, benefits, and enterprise systems, while maintaining data integrity, audit readiness, and global compliance standards. The Team You Will Join: Recursion’s People Team creates the conditions to enable and sustain high-performing teams, and helps employees do the best work of their careers. We are talent scouts and partners, creating experiences and outcomes that support our employees and drive business success. We focus on scalable solutions that add value across geographies, while providing individual advisory partnership and support where it matters most. With a people + data approach, we ensure Recursion has the people, culture, and operating dynamics to accelerate drug discovery and get medicines to patients faster. The Experience You’ll Need: - 8+ years leading HRIS, People Analytics, and HR technology initiatives in scaling, multi-entity organizations - Proven experience implementing AI-enabled people tools end-to-end, including vendor selection, business case development, data readiness, change management, and post-launch optimization - Deep hands-on expertise in HiBob, including workflow configuration, permissions architecture, lifecycle automation, compensation cycles, reportin

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Member of Technical Staff - Platform Engineering

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: At Modal, we sell cloud services atop which our customers run their critical production systems. As a rapidly growing new cloud infrastructure company, we seek to improve our reliability dramatically while scaling the size of our platform, customer base, and our team. This role is for people who are deep systems thinkers, love stacking nines, and thrive from making others move faster at scale. Responsibilities include: - Identifying architectural changes to improve reliability and performance. - Fostering a culture of reliability across Modal’s engineering organization. - Defining and implementing operational processes such as deployments, upgrades, etc. - Operating systems like Kubernetes, Postgres, Redis, etc. - Participating in on-call rotations, and responding to production incidents. REQUIREMENTS: - 5+ years of experience writing high-quality production code. - 2+ years of on-call experience for critical production services. - Strong cloud skills, and deep familiarity with at least one hyperscaler cloud (AWS preferred). - Familiarity with auto scaling, fleet management, and capacity planning at scale. - Experience operating databases, monitoring, CI/CD, and other infrastructure, at scale - Experience owning and scaling Kubernetes clusters to thousands of nodes a plus. - Experience with systems safety research (e.g. STAMP) and control theory a plus. - Ability to work in-person in our NYC or Stockholm offices.

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Head of DMPK

Negotiable

Your work will change lives. Including your own. The Opportunity At Recursion we are redefining drug discovery by uniting industrial-scale data generation with sophisticated computational models. We are seeking a visionary Head of DMPK to join our leadership team. You will lead the DMPK strategy to transition our internal and partnered programs from early hit-identification through to IND-enabling studies and early clinical development. But this is not a traditional DMPK role. You will be a key architect in an environment that is pushing the boundaries of “predict more, test less” - bridging the gap between high-throughput, experimentally derived data generation and predictive modeling. Your Impact - Strategic Leadership . Define and execute the overarching DMPK strategy for a diverse therapeutic area portfolio, primarily focused on small molecules with the agility to support emerging modalities ( e.g. peptides, ADCs, proximity-inducing therapeutics) - Scientific Rigor and Project Acceleration . Ensure high degree of scientific excellence as programs move from early discovery into development ensuring robust human dose projections, DDI assessments, and supporting translational PK/PD strategies. - Tech-Forward Collaboration . Partner with Data Science and ML teams to refine our predictive ADME models, transforming how we prioritize compounds and de-risking the portfolio. - External Partnerships . Act as a strategic subject matter expert for high-stakes external partnerships by collaborating with internal scientific leaders and external counterparts with transparency and technical rigor. - Talent Development . Develop and lead a high-performing team. You won't just manage - you will amplify the talents of your team, fostering an environment of active learning and rapid adaptation. - Cross-Functional Synergy . A critical component of multidisciplinary project teams. A critical partner to Toxicology, Translation and Design ensuring that DMPK insights are integrated into the earliest stages of target validation and lead optimization. Who You Are - The Academic Foundation: You hold a PhD (or equivalent) in Pharmacokinetics, Drug Metabolism, Pharmacology, or a related field. - The Industry Veteran: You have a proven track record of moving multiple programs from Discovery into Development (typically 15+ years) in the pharmaceutical or biotech industry. - The Nimble Mindset: You are comfortable working at the intersection of biology and technology. You are cautiously optimistic that data-driven, computational approaches are the future of drug discovery. - The Modality Expert: Deep expertise in small molecule DMPK is essential. Experience with related modalities (ADCs, proximity-inducing or peptides) is a distinct advantage. - The Regulatory Navigator: You are intimately familiar with IND submission requirements and have a history of successfully navigating regulatory interactions. - The Collaborative Leader: You value "One Team" over silos. You are kn

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Real Estate Portfolio Manager

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. We are seeking a senior Real Estate Portfolio Manager to join Anthropic's Workplace and Real Estate team to lead strategic planning, portfolio optimization, and a team of real estate professionals across our global footprint. This high-impact role will develop comprehensive real estate strategies, conduct rigorous market and financial analyses, and deliver executive-level recommendations to our CFO and senior leadership. The Real Estate Portfolio Manager will oversee a team including a Real Estate Program Manager and an Occupancy Planning/Lease Administration specialist, building a high-performing function that brings the strategic rigor and analytical sophistication of established corporate real estate organizations to our rapidly scaling AI company. Responsibilities: Strategy & Executive Communication - Develop comprehensive real estate strategy documents that synthesize market analysis, financial modeling, and location recommendations for CFO and executive leadership review - Lead strategic portfolio planning including scenario modeling for growth, market entry/exit decisions, and long-term footprint optimization - Create executive-level presentations and decision memos that translate complex real estate data into clear strategic recommendations - Conduct in-depth market analyses including competitive positioning, labor market dynamics, talent availability, and cost-of-occupancy comparisons across target markets - Build and maintain sophisticated financial models for real estate decisions including NPV analysis, lease vs. buy scenarios, and total cost of occupancy projections - Partner with Finance on capital planning, real estate budgeting, and investment justification for major portfolio decisions Portfolio & Program Oversight - Develop location strategy frameworks that align real estate decisions with business unit requirements, talent strategy, and corporate objectives - Oversee occupancy planning and demand forecasting efforts, translating headcount projections into actionable space requirements and timing recommendations - Direct lease administration strategy including portfolio risk assessment, lease restructuring opportunities, and critical obligation management - Establish portfolio performance metrics and reporting frameworks that provide executive visibility into real estate investments and outcomes - Partner with external advisors (brokers, consultants, legal) to execute strategic initiatives and negotiate favorable terms - Identify portfolio optimization opportunities including consolidation, expansion, or repositioning strategies that enhance operational efficiency and reduce costs Team Leadership - Manage and develop a team of two direct reports: a Real Estate Program Manager and an Occupancy Planning/Lease Administration special

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National Security Policy Lead, Biotech

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 role Anthropic is looking for a Biotech Policy Lead to lead our work on the biological dimensions of frontier AI policy. Reporting to the Head of National Security Policy, you will shape and lead Anthropic's external policy posture on biology issues across the U.S. federal government, allied democracies, and the biotech and life sciences community, and will help shape how AI strengthens US competitiveness through biotechnology during a critical period in AI development and governance. You will serve as Anthropic's principal biotech policy voice with the federal government and Congress, relevant agencies and program offices, and allied government counterparts. You will translate Anthropic's research on frontier model biological capabilities into concrete policy proposals, partnership opportunities, and meaningful contributions to public debates. Key responsibilities - Develop strategies for AI to strengthen U.S. and allied bio-innovation capacity and biotechnology competitiveness - Develop and lead Anthropic's external biotech policy strategy across U.S. federal stakeholders, allied governments, and life sciences sector regulators - Engage in thought leadership and planning for how increasingly capable AI reshapes the biotechnology landscape — including global competitiveness, supply chain resilience, and equitable access to AI-accelerated medicine, as well as biosecurity - Support and promote collaborations with biosecurity practitioners and biotech industry players across public and private sectors, including on model testing, red teaming, synthesis-screening partnerships, and defensive deployment of frontier AI in biosurveillance - Collaborate with technical teams, including CBRNE Safeguards, the Frontier Red Team, and our biology research efforts, to translate biological model research and evaluations into concrete policy proposals, stakeholder education, and public contributions - Coordinate with national security policymakers on threat intelligence sharing and safeguard implementation, working closely with Anthropic's CBRNE Safeguards team - Drive "race to the top" dynamics across the AI industry, including engagement with other frontier labs and the Frontier Model Forum on shared bio standards and safeguard adoption - Build and deepen international biotech partnerships, including with Five Eyes counterparts and multilateral institutions, and contribute to thinking on areas of potential international alignment on biotech competitiveness and biological safety - Partner closely with the Head of National Security Policy, the broader Public Policy team, Safeguards, the public sector go-to-market team, Legal, Communications, Product, and Research to ensure coherent execution across bio workstreams Minimum qualifications - Hold an active TS/SCI clearance or held one in the last two years, and have the ability to obtain and maintain one - Have working knowledge of both biotech and biosecurity policy — e.g., bio-innovation capacity, sy

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Interested in an internship?

Negotiable

Your work will change lives. Including your own. Join our Internship Talent Network! We believe in the power of hiring because the potential for people to do outstanding work depends on being in the right role, on the right team, at the right time. At this time, we are currently not hiring interns for Summer 2026. Please send us your resume so that we have your information on file for the next round of internships and we will contact you if we find a match! Stay connected and learn more about us on Twitter and LinkedIn. LI-DNI The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at <u&

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Manager, Machine Learning Engineering (Fraud)

Negotiable

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The Fraud Machine Learning team builds models that power critical decisions during the loan application process, protecting Affirm and its customers from fraud while maintaining a seamless user experience. As a manager, you will lead a team of ML engineers developing and improving models that detect and prevent abuse in a rapidly evolving, adversarial environment. In this role, you will define the technical and modeling strategy for fraud detection, guiding the team across the full machine learning lifecycle from feature development and experimentation to production deployment and monitoring. You will partner closely with Product, Fraud Analytics, Risk, and Platform teams to ensure high-quality models are effectively integrated into decisioning systems. You will also help drive the evolution of modeling approaches at Affirm, including the adoption of representation learning and transformer-based techniques to better capture complex behavioral patterns. What you’ll do - Set the technical and modeling strategy for fraud detection, aligning team efforts with key business outcomes such as fraud loss reduction, approval rates, and customer experience - Lead a team of machine learning engineers to design, build, and iterate on high-impact fraud models across the full ML lifecycle, from experimentation to production - Drive the evolution of modeling approaches, including the adoption of representation learning, transformer-based methods, and other advanced techniques for modeling complex behavioral data - Partner cross-functionally with Product, Fraud Analytics, Risk, and Engineering to define solutions, evaluate trade-offs, and ensure models are effectively integrated into decisioning systems - Develop talent by coaching engineers, providing feedback, and fostering a high-performing team culture grounded in technical excellence and ownership What we look for - Bachelor’s in a technical field with 8+ years of industry experience, including 3+ years managing engineers - Experience with modern ML approaches, including representation learning, deep learning, or transformer-based models, as well as traditional methods such as gradient-boosted trees - Proven ability to lead teams delivering end-to-end ML solutions in production environments, including experimentation, evaluation, and model iteration in production - Strong engineering fundamentals and experience working with scalable systems and data pipelines - Track record of effective cross-functional collaboration with product, analytics, and engineering partners - Ability to operate in ambiguous, fast-evolving environments and drive clarity, prioritization, and execution - This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Pay Grade - P Equity Grade - 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.<br&gt

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B2B Marketing Mandarin Growth Lead

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for a powerhouse Growth Marketer to own and accelerate our B2B footprint in Singapore . This isn't a traditional marketing role; we need a "jack of all trades" who can pivot from high-level campaign planning to setting up complex outbound sequences in the same afternoon. You will be the primary driver for growth in Singapore, taking full ownership of projects from inception to the final outcome. You are someone who views "chaos" as an opportunity to build and thrives when managing multiple workstreams simultaneously. YOUR RESPONSIBILITIES - Full-Funnel Ownership: Drive the Singapore B2B growth strategy and partially tackle the North Asia markets, owning the pipeline target from lead gen to conversion. - Outbound Mastery: Set up, manage, and optimize complex outbound sequences to reach enterprise decision-makers. - Event & Campaign Execution: Organize high-impact events, webinars, and trade shows from start to finish. - Performance & Analysis: Work closely with the performance team on retargeting and ABM, while being comfortable diving deep into the numbers to analyze what’s working. - Creative Content: Craft compelling sales collateral, thought leadership content, and messaging tailored to the regional tech landscape. - Vendor & Partner Management: Identify and orchestrate top-tier local partnerships and sponsorships. REQUIREMENTS

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Technical Program Manager, Infrastructure

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 Role Anthropic's Infrastructure organization is the engine that powers our mission. Every breakthrough in AI safety research and every interaction users have with Claude depends on the systems we build and operate: massive clusters for training frontier models, production infrastructure serving millions of users reliably, and developer platforms that help engineers move fast without breaking things. As a Technical Program Manager for Infrastructure, you’ll work across multiple infrastructure domains to coordinate complex programs that have broad organizational impact. You’ll be solving novel scaling challenges at the frontier of what's possible, all while maintaining the security and reliability our mission demands. This role is ideal for someone who thrives in ambiguity and believes their job is to make everyone around them more effective. You’ll partner closely with engineering leadership to drive strategic initiatives while ensuring seamless coordination between research, engineering, and product teams. What you’ll do: Developer Productivity & Tooling - Drive cross-functional programs to improve developer environments, CI/CD infrastructure, and release processes that enable rapid innovation while maintaining high security standards - Coordinate large-scale migrations and platform modernization efforts across engineering teams - Partner with teams to measure and improve developer productivity metrics, identifying bottlenecks and driving systematic improvements - Lead initiatives to integrate AI tools into development workflows, helping Anthropic be at the forefront of AI-assisted research and engineering Infrastructure Reliability & Operations - Drive programs to establish and achieve reliability targets across training infrastructure and production services - Coordinate incident response improvements, post-mortem processes, and on-call rotations that help teams operate effectively - Establish metrics and dashboards to track infrastructure health, capacity utilization, and operational excellence Cross-functional Coordination - Serve as the critical bridge between infrastructure teams, research, and product, translating technical complexities into clear updates for a variety of audiences - Consult with stakeholders to deeply understand infrastructure, data, and compute needs, identifying solutions to support frontier research and product development - Drive alignment on priorities and timelines across teams with competing constraints You May Be a Good Fit If You - Have 5+ years of technical program management experience, with a track record of successfully delivering complex infrastructure programs in ML/AI systems or large-scale distributed systems - Have deep technical understanding of infrastructure systems—enough to engage substantively with engineers, identify technical risks, a

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Technical Account Manager, AI User Segment

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 Technical Account Managers work cross-functionally to support Stripe’s largest and most complex users. Through trusted relationships we offer customized, strategic consultations and proactively identify opportunity areas to help businesses deliver more value to their customers, optimize technical operations on their teams, and accelerate their global growth with Stripe. What you’ll do You will strategically support Stripe’s AI user segment consisting of complex and high-growth AI companies. You will develop deep relationships with your assigned accounts’ key stakeholders through frequent in-person meetings and technical account planning sessions. Responsibilities - Provide a gold standard experience to your assigned accounts' key stakeholders - Work with the wider Operations team to provide current state, resources, and knowledge to enable a gold standard experience across teams interacting directly with the user via support channels, external documentation, or product/feature feedback or development - Foster long-term user relationships that grow loyalty to Stripe and Stripe products - Work cross-functionally both internally and within your user's organizations to provide and implement operational solutions on subjects not limited to fraud/disputes, declines, product adoption, and global expansion - Work closely with Account Management and other user-facing teams as part of a larger effort to support users on Stripe - Lead user-facing meetings both in person and through video chat - Collaborate on the continued design of this support offering - Create user-facing content for long-term solutions - Partner closely with other Technical Account Managers supporting AI accounts as a subject matter expert on the AI industry to deliver differentiated technical support - Engage in frequent on-site visits with AI users to deepen relationships, surface technical challenges early, and deliver strategic guidance to their engineering, product, and business stakeholders - Drive publication of user case studies 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 - 10+ years of experience in enterprise-level client-facing work - Demonstrated expertise in the AI industry, such as monetization models, fraud strategy, global payment methods, and the technical and operational challenges faced by AI companies - Strong product sense and energized by the challenge of solving difficult user-related problems <

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Platform Security Engineering, Operating Systems

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 role We're looking for an Operating Systems Security Engineer to harden and secure the OS layer of our infrastructure. You'll be responsible for designing and implementing OS-level security controls, from kernel hardening to runtime protection, ensuring our systems can withstand sophisticated attacks while maintaining the performance required for AI model training. This is a hands-on role where you'll work with cutting-edge hardware and implement novel security solutions for environments that don't exist anywhere else in the world. You'll need to balance extreme security requirements with the operational needs of researchers training models at unprecedented scale. Key responsibilities - Design and implement hardened OS configurations for AI workloads across diverse hardware platforms - Minimize attack surfaces by removing as many unnecessary components as possible from kernelspace and userspace - Develop kernel security policies using SELinux, AppArmor, and custom Linux Security Modules and runtime enforcement mechanisms - Implement and maintain full-disk encryption solutions for diverse storage systems - Build security infrastructure for AI systems, research environments, and production services - Create OS-level attestation and integrity monitoring systems - Apply security patches, develop patches for custom kernel modules, and kernel hardening configurations - Design secure boot processes and trusted execution environments - Work with container teams to ensure proper workload isolation at the kernel level - Design privilege separation and mandatory access control policies - Implement secure update mechanisms for OS components - Build tooling for security configuration management and compliance verification - Serve as a subject matter expert for OS security questions and designs Minimum qualifications - Deep knowledge of Linux internals, including kernel subsystems and security frameworks (SELinux, AppArmor, seccomp, etc.) - Experience with kernel hardening techniques and exploit mitigation - Strong programming skills in C and systems programming languages - Experience with eBPF for security monitoring and enforcement - Understanding of virtualization and containerization security - Track record of identifying and fixing OS-level security vulnerabilities - Experience with security-focused Linux distributions Preferred qualifications - 5+ years of experience in operating systems security or kernel development - Kernel development experience or contributions to Linux kernel - Experience with real-time or embedded operating systems - Knowledge of hardware security features and their OS integration - Experience with secure boot technologies - Experience with confidential computing and memory encryption technologies (SEV, TDX, SGX)

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Enterprise Solutions Engineer - Belgium

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. This role is remote but the successful candidate should be based in Germany or surrounding area. ABOUT THE ROLE As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams. As a Solutions Engineer, you can expect to: - Collaborate strategically with Account Executives to enhance the technical aspects of the sales process. - Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions. - Craft compelling technical demonstrations that clearly communicate our product's value proposition. - Create technical enablement resources that amplify our sales team's effectiveness and technical fluency. - Build self-service tools and documentation that empower customers to implement solutions independently. - Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real! REQUIREMENTS We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you: - Are passionate

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Forward Deployed Engineer - Software Engineer - Sp...

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE You’ll use your creativity, problem-solving, and technical expertise to design tailored solutions that make a real impact. Embedded with our most strategic customers, you’ll get a front-row seat to some of our highest-stakes projects. From brainstorming technical architectures and product features to building full-scale integrations, you’ll take full ownership of complex, high-impact challenges—helping clients achieve their goals and push the limits of what’s possible. What you will do: - Take full ownership of end-to-end execution of major projects for our most strategic partners, working hands-on to deliver high-impact solutions. - Collaborate daily with our customer’s engineers and executives teams to ensure the best use of ElevenLabs’ technologies. - Drive real innovation by using your coding and technical skills to solve complex problems, making a real difference for our customers. REQUIREMENTS - Experience working with customers. It’s ok if you only worked with customers in student clubs or side projects, as long as you are interested in working closely with them on a technical capacity - Proficiency in Python and strong software development knowledge, inclusive of a deep understanding of software development, software architecture, and APIs integration. - Excellent communication and problem-solving skills. Especially in terms of ability to

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Product Manager II, AI & Data Security

Negotiable

As organizations rapidly adopt AI applications and agentic systems, security teams need visibility and control over how these technologies are being used. Datadog's AI & Data Security product helps customers discover, secure, and govern AI usage across their environments ensuring sensitive data is properly managed from model training through production. As a Product Manager II for AI & Data Security, you will own capabilities for AI discovery, posture management, and data security; giving customers complete visibility into their AI applications, agents, and enabling ecosystem, with prioritized actions to operate AI systems securely. You'll partner with engineering, design, security research, and GTM teams to define and ship platform capabilities that help organizations adopt AI at scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Own the roadmap for AI & Data Security capabilities, including AI and data discovery & posture management. - Define how security teams can assess and manage the security posture of AI-enabled systems, including configuration risks, sensitive data exposure, and policy violations. - Work closely with engineers and designers to deliver new product capabilities end-to-end, from early concept through launch and iteration. - Partner with Datadog security researchers to identify emerging risks in AI systems and translate them into actionable product features. - Engage with customers to understand how they are adopting AI and validate solutions that help them operate these systems securely. - Collaborate with go-to-market teams to enable adoption and communicate the value of AI security capabilities to customers. Who You Are: - You have 3+ years of product management experience building technical products, ideally in security, AI, data, cloud infrastructure, or developer platforms. - You have a strong understanding of generative AI, modern cloud environments and application architectures. - You are interested in the security challenges introduced by AI and machine learning systems. - <p data-renderer-s

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Research Engineer, Life Sciences

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 Role We're seeking an exceptional Research Engineer to join our Life Sciences team at Anthropic. Our team is organized around the north star goal of accelerating progress in the life sciences, from early discovery through translation, by an order of magnitude. Our team likes to think across the whole model stack. In this role, you'll combine your deep expertise in machine learning engineering to develop novel evaluation frameworks and training strategies that push the frontier of what AI can achieve in biology. You'll work at the intersection of cutting-edge AI and the biological sciences, developing rigorous methods to measure and improve model performance on complex scientific tasks. You'll collaborate closely with world-class researchers and engineers to build AI systems that can engage in all phases of research and development, while maintaining our commitment to safety and beneficial impact. Previous experience in life sciences is welcome, but not required for this role. Minimum Qualifications - Demonstrated experience training and evaluating large language models - Proficiency in Python and familiarity with modern ML development practices - Experience building and managing data pipelines for large-scale datasets - Comfortable navigating ambiguity and developing solutions in rapidly evolving research environments - Strong written and verbal communication skills, with the ability to work independently while collaborating effectively across cross-functional teams Preferred Qualifications - 8+ years of machine learning experience - Prior work experience in AI and biology, including graduate studies (molecular biology, biochemistry, computational biology, or related fields) - Experience working with large-scale biological datasets - Published research or practical experience in scientific AI applications or long-horizon reasoning - Background in reinforcement learning and/or pretraining - Knowledge of containerization technologies (e.g., Docker, Kubernetes) and cloud deployment at scale - Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing - Contributions to open-source scientific software or databases 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: $350,000 - $500,000 USD Logistics Minimum education: Bachelor’s deg

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EMEA Assurance Lead

Negotiable

Scale is powering the generative AI wave by providing the data and infrastructure for companies to build large-scale foundation models. AI is rapidly changing the world, and Scale is growing to meet that rapid demand across global markets, including accelerating public sector business across EMEA. Scale seeks an EMEA Assurance Lead to drive assurance programs across Scale's EMEA public sector and commercial business. Reporting to the Head of Global Assurance, this is a hands-on individual contributor role with significant autonomy. You will independently design and own EMEA-specific controls within Scale's global assurance framework, while staying tightly aligned with the global controls library and reporting cadences. You will be part of the global GRC team and work across Global Public Sector, Enterprise, Security, Engineering, Product, and Legal to deliver region-specific authorizations, certifications, and customer assurance outcomes across EMEA, with a focus on the GCC, UK, and EU markets. You Will - Lead region-specific assurance programs across the GCC and UK, including Qatar NCSA National Information Assurance (NIA), KSA NCA Essential Cybersecurity Controls (ECC), UAE DESC Information Security Regulation (ISR), and UK Cyber Essentials Plus, Defence Cyber Certification (DCC), and NCSC Secure by Design (SdB). You will own controls mapping, evidence collection, gap analysis, certification timelines, and submission management for each, working with accredited external assessors where required. - Work with the global GRC team to maintain and renew Scale's existing certifications and obtain new ones, including SOC 2, ISO 27001, ISO 42001, and ISO 9001. You will also own their extension to EMEA and international operations, including for NATO-aligned defence tenders. - Design and maintain EMEA-specific controls, adapting Scale's global controls framework to sovereign regulatory and customer requirements, including data residency and sector-specific requirements (e.g., health sector), identifying where existing controls satisfy local standards and where new controls or evidence artifacts are needed. - Set priorities and operating cadences for EMEA assurance workflows, including intake, evidence collection, control owner follow-up, remediation tracking, and deadline management, reporting progress through Scale's global assurance dashboards. - Support EMEA public sector customer assurance activities, including security questionnaires, compliance due diligence responses, customer-facing assurance discussions, and compliance input to bid and capture processes where assurance readiness is a procurement gate. - Partner with Legal on EMEA contract-driven assurance obligations, data protection and AI governance compliance intersections (e.g., GDPR, Qatar PDPPL, EU AI Act), and sensitive escalations involving sovereign regulators. - Manage relationships with EMEA-based external auditors, assessors, certification bodies, and regulatory counterparts. - Support internal and external audits across EMEA and report into the Head of Global Assurance on program health, key risks, certification timelines, and regional regulatory developments. Ideally, You’d Have - 7+ years of experience in cybersecurity compliance, GRC, public sector assurance, IT audit, cloud security, or related roles, with meaningful exposure to EMEA markets. - Experience executing government or public sector assurance programs in the UK, EU, or GCC, including working with external certification bodies, government assessors, or authorizing officials. - Deep familiarity wit