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Location: Afton, Texas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: Within Galaxy's Data Center team, you are a senior construction executive who has delivered multiple phases of large-scale, mission-critical infrastructure and knows what it takes to run a campus, not just a project. You lead leaders. You build teams that execute safely and predictably, and you hold contractors and partners to a high standard. You are equally comfortable walking a live site and presenting schedule, cost, and risk to executive stakeholders. You believe the digital economy depends on infrastructure delivered right, and delivered on time. What You’ll Do: As VP, Campus Construction Manager at Galaxy's Helios campus in Afton, TX, you will own construction execution across all active and future phases of the campus. You will lead a team of senior construction managers, each accountable for a phase or scope, and set the standards, cadence, and accountability that keep the campus aligned on safety, schedule, cost, and quality. You will be the single point of accountability for construction at Helios, from preconstruction handoff through commissioning and turnover to operations. At peak, the Helios campus workforce on site is expected to exceed 2,000 people. Lead and Develop the Campus Construction Team: Directly manage the on-site construction team on active and future phases at Helios, which will include project management, QA/QC, commissioning, MEP, and CSA leaders, as well as field construction managers. Set clear expectations, coach for performance, and build bench strength as the campus grows. Own Campus-Level Delivery: Provide integrated oversight of construction across all phases, resolving cross-phase conflicts in resources, laydown, site logistics, access, utilities, and sequencing. Manage Schedule and Progress: Own the campus master schedule view. Monitor progress against baseline, identify critical-path threats early, and direct recovery and mitigation plans before they affect milestones. Drive Safety Culture: Set and enforce Galaxy's safety standards across the campus. Partner with Galaxy EHS and contractor safety leadership to sustain a zero-incident environment, and hold the team accountable for leading indicators as well as outcomes. Oversee Contractors and Trade Partners: Manage executive-level relationships with general contractors and key trade partners. Ensure alignment on milestones, quality, safety, staffing, and commercial performance. Control Cost and Change: Provide leadership oversight of pay applications, change orders, forecasts, and budget tracking for each phase. Ensure disciplined change management and accurate cost reporting to leadership. Manage OFCI Integration: Work closely with Pre-Construction and OFCI procurement and logistics teams to ensure UPS, generators, chillers, switchgear, and other owner-furnished equipment arrive, are set, and are installed without impacting the construction schedule. Lead Commissioning and Turnover: Partner with on-site commissioning manager, 3 rd party Cx agent, and operations teams to ensure systematic testing, closeout, and clean turnover of each phase to operations. Ensure Quality: Establish and enforce Galaxy's QA/QC standards across the campus. Escalate and resolve systemic quality issues. Advance Lean and Prefabrication: Drive Galaxy's modularization, prefabrication, and lean delivery initiatives, and capture lessons learned so each phase is more repeatable than the last. Manage Regulatory and Community Relationships: Work with local authorities, inspectors, utilities, and consultants to ensure compliance with codes and permit requirements. Report to Leadership: Provide frequent status updates to the Co-Heads of Data Center Construction, and communicate campus status, risks, and forecasts clearly to Galaxy executive leadership and internal stakeholders. What We’re Looking For: Bachelor's degree in Construction Management, Engineering, Architecture, or equivalent experience. 12+ years of experience delivering large-scale mission-critical projects with at least 5 years in a senior leadership role managing multiple project leaders or concurrent projects. Demonstrated success leading multi-phase or campus-scale developments. Deep understanding of construction delivery models (including GMP), risk management, and contractor oversight. Technical fluency across MEP, commissioning, civil, and structural systems. Proven track record managing OFCI equipment integration and commissioning. Strong command of cost control, change management, and schedule analysis. Familiarity with Procore, Primavera P6, Bluebeam, and SharePoint. Full-time, on-site presence at Helios (Afton, TX) Bonus Points: A track record of leading and developing high-performing construction teams. Excellent communication skills and the ability to influence technial and executive stakeholders. Sound jugement under pressure and a bias toward early, honest escalation. A commitment to safety, quality, and executional excellence. A passion for building world-class infrastructure that supports the growth of the digital economy. What We Offer: Competitive base salary and discretionary bonus Hybrid/Flexible Working Arrangements Flexible Time Off (paid) 3% 401(k) company contribution Company-paid health and protective benefits for employees, partners, and other dependents Generous paid Parental Leave Competitive family planning benefits for US employees Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Free daily snacks and weekly breakfasts/lunches Employee Resource Groups Free coaching and counseling sessions through Headspace Apply now and join us as we grow the economy that runs on code. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Remote | North America or Europe ABOUT SQUADS Squads is a financial technology company building products and APIs for the stablecoin economy. We build on open infrastructure, global money, and internet capital markets to deliver better financial services to businesses, individuals, and developers. Our products span the company’s mission: Squads Multisig helps teams secure and manage assets on Solana; Altitude gives businesses a global account to run their financial operations; and Fuse brings stablecoins and tokenized assets to personal finance. More than 450 teams use Squads Multisig to secure over $10 billion in value. Our investors include Haun Ventures, Multicoin Capital, Electric Capital, Coinbase Ventures, Toly, Mert, and others. THE ROLE You’ll own product and infrastructure security across Squads, working closely with our Head of Security, CTO, and engineering leads across Multisig, Altitude, Fuse, and the infrastructure that powers them. That means being in the room when systems are designed, reviewing code before it ships, and driving every finding to verified closure. This is a hands-on role. You’ll read code, write threat models, and build the tooling and standards that make the secure path the default as engineering grows. We’re looking for a senior practitioner who can tell engineers what to fix and why, and hold the line on what matters without slowing the team down. WHAT YOU’LL OWN DESIGN & CODE REVIEW - Join product and engineering calls as the security reviewer, raising concerns while designs are still cheap to change - Lead threat modeling and security design reviews for new products, features, and infrastructure changes - Perform hands-on secure code review across backend services, APIs, frontends, and Solana programs, with a focus on authentication, authorization, and access control VULNERABILITY MANAGEMENT - Own the full lifecycle for findings from audits, pentests, code scanning, and bug bounty: triage, prioritization, remediation tracking, and fix verification - Set severity and SLA standards, and hold the team to them - Run bug bounty intake, validate external reports against source, coordinate with audit partners, and scope internal assessments SECURE SDLC & INFRASTRUCTURE - Tune and extend SAST, dependency, secrets, and container scanning in CI/CD so engineers trust the signal - Review IAM, network controls, encryption, and secrets management across our cloud environments, including API key ownership, permissions, and rotation - Assess what internal AI tools, MCP integrations, and agents can reach in production, and scope their access to what they need - Define product security standards, review checklists, and developer guidance that scale with the team YOU MIGHT BE RIGHT FOR THIS IF - You’ve been the senior security partner to engineering leadership, and teams sought out your review instead of routing around it - You find business logic, authorization, and race condition bugs by reading code, and you know where scanners go blind - You use LLMs and agents to cover far more code than one person could, and you know where the models miss - You rank findings by what an attacker could actually do with them, and your write-ups tell engineers exactly what to change - You’ve worked where security failures carry direct financial impact: fintech, crypto, payments, or stablecoins - You’ve built a security function early, when the process and tooling still needed to be defined - You pick your battles, and engineers ship faster with you in the room REQUIREMENTS - 8+ years in product security, application security, or security engineering, built on a software engineering foundation - Ownership of threat modeling and architecture review for complex financial or distributed systems, with the standing to shape design decisions - A track record of finding critical, non-obvious vulnerabilities in large production codebases (TypeScript, Rust, Go, or Python), including through LLM and agent-based review workflows you built and ran - Experience building and running a vulnerability management program or bug bounty end to end, including the CI/CD scanning that feeds it - Deep expertise in IAM, secrets management, network controls, and container security on AWS or a comparable provider - Strong written communication and the judgment to work independently - Experience reviewing Solana programs (Rust/Anchor) or working at an audit firm, cryptography and key management (HSMs, MPC, PKI), offensive testing across web and mobile, red teaming AI systems, or supporting SOC 2 from the product side is a plus. WHY THIS MIGHT BE INTERESTING Most product security roles sit downstream of engineering, reviewing what’s already been decided. This one sits in the room. You’ll shape how a self-custody platform, a business account, a consumer app, and the infrastructure under all of them get built, across Solana programs and traditional backend services alike. The stakes are concrete: a missed authorization check here moves money. You’ll work directly with our Head of Security and CTO, with the ownership to build the product security program while operating it. Small team, high standards. Learn more about our core values here https://squads.xyz/company.

Location: London, UK 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 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 Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team. This is a partner-facing role: you'll support nonprofits, research institutes, academic medical centres and public-sector funders as they use Claude to get treatments to patients with rare and neglected diseases, where there is little or no commercial incentive to fund development. The role focuses on clinical development, where we think Claude can help these partners today. Trials in these diseases have small patient populations, investigator-led or nonprofit funding and little operational support, and they often stall on protocol quality, operational risk and site start-up. Claude can help teams design better trials and start them sooner. Much of this work is drug repurposing: testing new uses for approved, usually off-patent or generic medicines, whose known safety profiles can let a good hypothesis reach patients years sooner than a new molecule. You'll advise and embed in partners' teams, building alongside their engineers, scientists and clinicians. Responsibilities Work with partners' trial teams to design, review and prioritise clinical trials with Claude: drafting and reviewing protocols and statistical analysis plans, and flagging enrolment and operational risks. Build and validate tools that help partners find new uses for approved, mostly off-patent medicines in rare and neglected diseases, from literature, omics and patient data, and assemble the evidence so the partner can decide the next step. Build reusable infrastructure other institutions can adopt (MCP servers for biomedical data sources, agent skills, benchmarks grounded in real clinical questions), and feed what you learn in the field back to product, engineering and research. You Might Be a Good Fit If You Have Hands-on clinical development experience: designing, running or analysing clinical trials, or assessing clinical evidence to decide which programmes go forward (for example due diligence or asset evaluation). Drug repurposing work as part of that is a strong plus, as is having contributed to a regulatory submission for a trial. Comfort with biomedical data: literature, omics, and real-world patient data (health records, registries, claims), ideally inside secure or trusted research environments. Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure it. Experience working directly with external partners or customers in a technical role. Clear written and verbal communication: docs other institutes can use without you, and results clinicians trust. A scrappy mentality: you're comfortable in ambiguity, wear several hats, and do what it takes to get a result for a partner. 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: £225,000 — £255,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Join us at the forefront of AI and cloud-native security as we work to secure one of the most innovative developer platforms in the world. As the Cloud Security Lead, you will shape the cloud and infrastructure security program that protects millions of developers, enables safe AI-assisted development, and ensures organizations can confidently bring our platform into enterprise environments. In this role, you will own cloud security across GCP (primary) and supplemental environments in AWS and Azure, as well as containerized systems, SaaS platforms, and our multi-tenant AI infrastructure. You’ll improve our security posture through strong architecture, posture management, secure-by-default development practices, and close partnership with Engineering, Compliance, Security Architecture, and Platform teams. This is a highly impactful, hands-on leadership role—perfect for someone who wants to solve complex security challenges at scale while influencing product, engineering, and go-to-market teams. WHAT YOU’LL DO: CLOUD SECURITY ENGINEERING - Lead configuration hardening across GCP, with additional oversight of workloads and integrations running in AWS and Azure. - Own and optimize CSPM platforms across multi-cloud environments—establishing configuration baselines, guardrails, and remediation workflows. - Secure critical SaaS platforms, ensuring proper configurations, access controls, and engineering integrations. - Lead infrastructure vulnerability management across multi-cloud systems, containers, registries, and platform services. - Enhance security across containerized and Kubernetes (GKE/EKS/AKS) workloads, including runtime protections, network policies, and workload identity. - Assess secure logging configurations across cloud/SaaS providers, ensuring audit logs, retention, and routing meet monitoring and architecture needs. SECURE DEVELOPMENT & ARCHITECTURE ENABLEMENT - Partner with engineering teams to make services secure by default, embedding security into development workflows, CI/CD pipelines, and cloud-native deployments. CROSS-FUNCTIONAL RESPONSIBILITIES - Collaborate with Security Monitoring, Compliance/GRC, Architecture, DevOps, Platform Engineering, and ML Infrastructure. - Participate in communicating security advisories, best practices, and updates to Replit’s customers. - Support incident investigations as a cloud security subject-matter expert. REQUIRED SKILLS & EXPERIENCE: - 7+ years of experience in cloud engineering, with 3+ years in a senior or lead role. - Hands-on experience with CSPM tools (Wiz, Lacework, Prisma, Orca, SCC, etc.). - Deep expertise in GCP security (IAM, VPC, KMS, GKE, Cloud Logging). - Experience securing and governing SaaS platforms and identity integrations. - Operational experience with infrastructure vulnerability management across cloud and container environments. - Working knowledge of AWS and/or Azure security services and configurations. - Experience with container and Kubernetes security across GKE, EKS, or AKS. - Strong IaC security experience with Terraform, Pulumi, or similar tooling. - Familiarity with compliance standards (SOC 2, ISO 27001, PCI DSS). PREFERRED QUALIFICATIONS: - Experience supporting engineering teams in building secure-first, cloud-native or PaaS environments. - Background securing AI/ML pipelines, model-serving infrastructure, or developer platform services. - Experience in high-growth technology or cloud-native product companies. - Experience with securing AI/agentic systems and sensitive data pipelines. - Automation/scripting with Python. - Relevant certifications (e.g., GCP Professional Cloud Security Engineer, AWS/Azure security certs). WHAT WE VALUE: - Problem-solving mindset — Ability to break down complex security and operational challenges into clear engineering solutions. - Autonomy — Comfortable leading initiatives, collaborating effectively, and driving outcomes with minimal oversight. - Communication excellence — Able to translate deep technical concepts for engineers, executives, and enterprise customers. - Continuous learning — Passion for staying current with AI security, cloud-native advances, and emerging threats. - Automation-first approach — Belief in reducing operational toil and building scalable, self-healing systems. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Colombia, Huila, Colombia; São Paulo, Brazil About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Senior ML & Data Engineer — Data Quality & Sensitive Data Compliance This is a full-time remote role based in Brazil or Colombia. About the role Enterprise data flows through our connectors, gets processed, and passes through a sanitization layer before anything downstream touches it. Two things have to be true at every step: the data is what we think it is, and no sensitive information — PII, PHI, company identifiable information (CII), or financial data — gets through. You'll own both. You'll do this primarily by building the machine learning that detects sensitive entities in text and image data and replaces them consistently at scale. This is a hands-on IC engineering role with a QA mindset. You'll build the detection models, validation infrastructure, adversarial test sets, and audit processes that let us make strong claims about data quality and de-identification performance — and back them up with evidence. You'll work closely with a senior ML lead, with no client-facing responsibilities. What you'll do Data Quality Run deep dives into enterprise data to assess quality: topic coherence across connectors, domain depth within connectors, completeness, and consistency Design and automate validation suites for data pipelines — schema checks, completeness, drift detection, and reconciliation across raw → processed → sanitized stages Surface and characterize quality issues in ways that engineering and product can act on Sensitive data compliance (PII / PHI / CII / financial) Design, train, and evaluate ML models (NER and other approaches) that detect sensitive entities across text and image-based documents such as scans, invoices, and presentations Build replacement pipelines that substitute detected entities with coherent alternatives, so the same entity always maps to the same replacement across every file in a corpus and the data stays useful Run these algorithms over large volumes of data to prepare it for downstream agentic task building Build adversarial test sets for de-identification across all sensitive data classes: edge cases, obfuscated identifiers, multilingual entities, OCR noise, and formats designed to slip past detectors Cover company identifiable information specifically — organization names and aliases, domains and email patterns, internal project and system names, org charts, vendor and partner relationships, contract terms, and any combination of details that could re-identify the source enterprise Cover financial data — account and routing numbers, card numbers, revenue and pricing figures, transaction records, tax IDs, and financial statements Measure and report de-identification performance by data class — entity-level precision and recall, leak rates, false-negative audits, and replacement consistency Implement regression gates in CI/CD so no pipeline change ships without passing data quality and sensitive-data checks Run sampling-based human-in-the-loop audits and maintain the audit trail as compliance evidence Partner with engineering on root-cause analysis when inconsistencies or leaks are found, and drive fixes to closure What we're looking for About 4 to 5 years of hands-on machine learning experience, with ML as your primary background Strong Python for ML development and data validation (pytest, Great Expectations, Pandera, or similar) Solid SQL and experience validating data across pipeline stages Familiarity with sensitive data categories and the relevant standards — HIPAA Safe Harbor for PHI, GDPR/LGPD for PII, PCI DSS for cardholder data, and confidentiality/NDA obligations for company information Experience building and testing NER or other ML-based detection systems: building labeled eval sets, computing precision/recall, handling non-determinism Understanding of re-identification risk — how seemingly innocuous details combine to reveal an organization or individual Comfort with ambiguity and a fast-moving environment A skeptical, detail-oriented approach — you assume things are broken until you've proven otherwise Nice to have Computer vision and OCR experience, especially building, scaling, and evaluating document pipelines for contracts, statements, invoices, presentations, and internal documents Hands-on experience with financial or healthcare data, including the privacy requirements specific to those industries Startup experience Auditing LLM or VLM outputs Synthetic sensitive-data generation (PII, PHI, company and financial records) Familiarity with the GCP data stack (BigQuery, GCS, Cloud Run jobs) and CI/CD integration Experience handling multi-tenant enterprise data with strict customer confidentiality requirements Compliance reporting or working with auditors Why this role matters Our enterprise customers trust us with their data on the condition that it can never be traced back to them. Every downstream model, dashboard, and customer commitment depends on the data being clean and the sanitization layer being airtight. When you find a leak, you've prevented an incident. When you prove there isn't one, you've earned the trust that lets the rest of the company move fast. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Austin Workplace: Hybrid About the Role We're hiring an SDR (Sales Development Representative) to join our team at Cyberhaven, based in Austin, TX or Mountain View, CA. In this role, you'll play a key part in driving top-of-funnel pipeline for a cutting-edge, highly technical product that's redefining data loss prevention and insider risk. You’ll work closely with our Sales and Marketing teams to identify, engage, and qualify prospects at some of the world’s most innovative companies. What you'll do - Identify and research target accounts and key stakeholders within innovative organizations - Engage prospective customers through thoughtful, strategic outreach via email, phone, and social channels - Qualify inbound and outbound leads for the sales pipeline by understanding prospect needs and uncovering pain points - Collaborate with Sales and Marketing teams to refine messaging and develop effective campaigns - Maintain accurate records and engagement activities in CRM and sales engagement tools - Consistently build and nurture a strong early-stage pipeline Who you are - Have 6+ months of SDR experience at a SaaS company with a highly technical product, cybersecurity experience is a plus - Comfortable learning and speaking to technical concepts, and translating them into clear business value for prospects - Skilled communicator - both written and verbal with the ability to engage technical and non-technical stakeholders alike - Proven experience in B2B sales or business development, with a focus on qualifying complex buying cycles and building early pipeline - Proficient with CRM and sales engagement tools like Salesforce, Outreach, Salesloft, or Sales Navigator (or comparable platforms) - You approach outreach with thoughtfulness and strategy, using personalization to break through the noise and connect with the right buyers - Strong problem-solving skills and the ability to identify customer pain points through research and discovery - A collaborative team player who works well with marketing, sales, and technical teams to deliver a seamless buyer experience - Location in Austin, TX or Mountain View, CA - Hybrid 3 days in office Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: San Francisco The AI organization at Asana builds the platform and products that bring AI into how the world's teams work. That includes AI Teammates that take on work alongside people, the orchestration layer that lets agents plan and act across the Work Graph, and the AI platform that every AI feature at Asana runs on. The platform covers model access, retrieval, context, evaluation, and production quality. We are looking for a Senior Staff Software Engineer to set technical direction across this organization. You will lead the hardest cross-team problems in AI at Asana, make architectural calls that hold up as models and the industry shift underneath us, and help senior leadership shape where AI takes the product next. The scope spans multiple engineering teams across San Francisco, New York, Vancouver, and Warsaw. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Define the technical vision and architecture for Asana's AI Org that includes AI platform, Agent systems and Studio in partnership with engineering and product leadership Partner with Product, Design, Data Science, Security, and Legal to take ambitious AI products from prototype to reliable, trusted enterprise features Lead strategic initiatives that span multiple teams, such as agent runtime and orchestration, context and memory for agents grounded in the Work Graph, and reliable, cost-efficient LLM inference at enterprise scale Set the bar for how Asana measures AI quality, including offline and online evaluation, production monitoring, and the feedback loops that turn real usage into better agents Make and guide high-stakes technical decisions on model and vendor strategy, build versus buy, and shared platform abstractions, and make sure those decisions age well Influence R&D-wide AI strategy by bringing a grounded view of the model and agent landscape to senior leadership Mentor staff and senior engineers, grow tech leads across the AI organization, and raise the bar for design and architecture reviews Represent Asana's AI engineering work externally through talks, writing, and the technical community, and help attract senior talent About you 10+ years of experience building production software, including significant time as a technical lead whose work spanned multiple teams 3+ years building production systems with LLMs or machine learning, such as agents, retrieval, evaluation, or inference infrastructure Track record of leading architecture and initiatives across organizational boundaries, with decisions that proved right over time Hands-on fluency with the current AI landscape, including foundation models, agent frameworks, tool use, and evaluation methods, with opinions strong enough to set direction and flexible enough to change with new evidence Deep experience with distributed systems and the reliability, latency, and cost challenges of running them at scale Able to communicate clearly at every level, from design reviews with engineers to strategy discussions with executives, and to bridge product, business, and technical language Passionate about coaching and mentoring engineers, including senior and staff-level engineers Experience with multi-tenant enterprise SaaS, and with security, privacy, and data governance for AI systems, is a plus Deep care for collaboration and an ability to foster an inclusive culture where everyone can bring their full selves to work and thrive Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we'll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $297,000 - $350,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-HC1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE The Data team at WorkOS plays a central role on the company operations to ensure information and insights are accurate and available from any surface, whether that's a visualization tool or an agent's response, to accelerate company growth and scale. The team owns WorkOS's internal data platform end to end: ingestion, orchestration, the Snowflake warehouse, dbt transformations, governance and access controls. We also own the consumption layer: the reverse-ETL syncs that land data in Salesforce and Slack, the semantic views that agents query, the definitions that keep reporting consistent across the company, and the visualization tooling the company uses (ask us about Flashboards https://workos.com/blog/reporting-tool-with-no-editor). We run on an agent-first operating system: we are a lean team that moves fast, we document so agents can execute, and AI agents query the warehouse, run our runbooks, and open pull requests alongside us. We trust each other's expertise, we work out loud and in the open, and not opposed to rapid experimentation to get to the right solution for the business. We're hiring a Data Engineer to own and evolve the systems that move, transform, protect, and serve data across our internal warehouse. This is a high-ownership role on a lean team: you will be the DRI for the platform and its core data models, partner directly with Product Engineering, RevOps, Finance, GTM Engineering, and Security, and raise the bar on reliability, correctness, and operational rigor. The role spans the platform and what runs on it. You will own ingestion, orchestration, and access governance; the dbt models and metric definitions that depend on them; and how AI is applied across the data stack, so that trusted data is easy for both people and AI agents to discover, understand, and work with. You don't need to have done this exact job before. The best data engineers at WorkOS are the ones who notice in a Slack thread that a number doesn't match, trace it from the dashboard through the Gold model to the connector, fix the connector, and confirm the definition with its owner before the weekly review. When a business team asks for a field in Salesforce, they don't hand it off; they build the model, write the sync, and add the test. They would rather automate the runbook than run it a third time. They enjoy collaboration with different parts of the business and can find simple, scalable solutions to ambiguous problems. If that sounds like how you work, we want to talk. RESPONSIBILITIES - Own the reliability, freshness, and scaling of the ingestion and orchestration pipelines that land source data in Snowflake, including monitoring, alerting, runbooks, and backfill and reprocessing patterns - Design, build, and scale the core dbt models (Bronze, Silver, Gold) for billing and usage, CRM, product events, and GTM funnel reporting - Partner with Product, Finance, RevOps, and GTM to define metrics and codify them in the warehouse, and diagnose and resolve data quality and freshness issues at source, not just downstream - Own Snowflake RBAC, dynamic masking, and PII classification for humans, agents, and service accounts, so sensitive data is protected without blocking legitimate use, and review DDL and access requests from Engineering and GTM - Own the reverse-ETL layer and the runbooks that deliver warehouse data to Salesforce, Slack, and internal agents - Extend the semantic views, context, and evaluations that let agents answer business questions accurately, and expand what agents can operate directly, from runbooks and ingestion to pull requests - Build and advance the CI/CD review gates in the data-platform monorepo, including the automated review that agent-authored pull requests pass through - Own the infrastructure the data platform runs on: the compute, deployments, secrets and access patterns, and environments behind ingestion and orchestration, with attention to availability and failure modes, in partnership with our infrastructure engineers Example problems you might work on, possible paths rather than a fixed roadmap: - Standardizing how Postgres and SaaS sources are ingested, and consolidating end-to-end pipeline deployment and orchestration in Prefect - Managing Snowflake RBAC, resource management, and masking policies as code with Terraform - Using query history to improve analytics tables and semantic views, and to keep agent answers accurate and consistent as data grows and metrics shift - Automating masking coverage as new data sources arrive, so adding a new table no longer needs a human in the loop - Automating near-certain matches in the Identity Graph - Pseudonymizing product data in the ingestion path, alongside compliance and data-deletion policies - Extending transcript aggregation across sources, including PII detection before transcripts enter the warehouse - Building the reverse-ETL framework and runbooks that deliver data to other tooling and agents - Running self-hosted data services on Kubernetes and managing their AWS resources (IAM, storage, secrets) as code with Terraform QUALIFICATIONS - 5+ years (or equivalent) building and operating production data platforms, including the transformation layer - Deep experience with Snowflake, dbt, and an orchestrator such as Prefect, Airflow, or Dagster, and with ingesting data from production databases and SaaS sources, including backfill and reprocessing patterns - Experience running data systems in production: monitoring, alerting, debugging, incident response habits, and pragmatic SLO/SLA thinking - Experience with warehouse access governance: RBAC, masking policies, and PII handling - Strong data modeling judgment and an understanding of schema evolution - Strong SQL and Python; disciplined engineering practices (tests, docs, reviews, CI/CD) - Proven experience operating as the only engineer on a layer, balancing foundational architecture with urgent business needs - Working knowledge of how GTM, Finance, and Product teams operate in addition to working with Engineering, and experience translating ambiguous business questions into technical specs - Comfortable using LLMs and coding agents as part of your day-to-day development workflow, with the judgment to validate their output and scale it into shared processes, and embracing AI and automation to scale platform work and accelerate your teammates - A systems thinker who reasons carefully about freshness, correctness, and failure modes, especially for data that everything else depends on - Pragmatic: you start with the simplest solution that works, prove it, then scale it, and you balance fast answers with durable solutions - You look for where AI can remove a bottleneck for the people and agents who depend on the warehouse, and you build the durable tools and workflows they rely on every day Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United Kingdom (Remote); Ireland (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. As a Senior Solutions Engineer, you will help the sales team drive revenue growth by evangelizing our technology via demos and technical discussions. You will get to collaborate with infrastructure engineering and security teams at the most sophisticated technology companies in the world. Most importantly, you will help these companies solve problems and get exposed to the latest ideas in technology. You will partner with account executives, other solutions engineers, and other teams to understand customer challenges, design secure and scalable solutions, and guide prospects through technical evaluations and proof-of-value engagements. You have experience working with AI technologies and infrastructure (LLMs, MCP, vector databases, AI tooling), and familiarity with traditional infrastructure networking and security (Linux/Unix, Windows, VPNs, bastion hosts, etc) and modern cloud-native technologies (cloud compute, containers, IaC, etc). What You'll Do - Partner with Account Executives and Account Managers to expand technical discovery, and map Teleport’s capabilities to customer initiatives. - Architect and deliver compelling demos and proof-of-concepts that showcase Teleport’s differentiation with Zero Trust principles, handling of human and non-human identities, identity governance, and identity security. - Act as the trusted advisor to engineering, platform engineering, DevSecOps, and security leaders. - Advise on protecting sensitive datasets and model endpoints with Teleport’s identity-based controls. - Position Teleport as a solution to eliminate API keys and static tokens in machine pipelines. - Support customers exploring AI/LLM use cases, including secure infrastructure for training and inference workloads. - Provide structured feedback to Product and Engineering on feature gaps and market needs. - Collaborate with Marketing on thought leadership around identity, human, non-human, and AI security. - Support channel and technology partners with technical enablement. - Help across various go-to-market activities, including marketing collateral, product positioning, customer interviews, sales cycle optimizations, traveling to conferences, brand evangelism, attending meetups, etc. - Listen deeply and perceive feedback as an opportunity to improve. - Demonstrate a high level of empathy, resilience, and humility. What You'll Bring - 5+ years of experience in pre-sales engineering, solutions architecture, DevSecOps or a highly technical customer-facing role. - Experience with using/configuring/debugging Linux machines and network issues. - Strong understanding and experience with Kubernetes, including hands-on troubleshooting. - Strong knowledge of at least one cloud computing platform - Strong knowledge of DevSecOps principles, CI/CD pipelines, and securing infrastructure at scale (e.g., source control, code reviews, unit testing, agile principles). - Advanced understanding of identity security and modern Zero Trust security approaches. - Proven ability to develop scripts and automation using Linux shell, Go, and Infrastructure as Code tools - Strong understanding of system architecture, provisioning, and administration - Familiarity with AI/LLM infrastructure (GPU clusters, data governance, inference workloads, ML pipelines) and associated security requirements. - Strong problem-solving and analytical skills, with the ability to troubleshoot complex issues - Ability to engage both technical and executive stakeholders with credibility and clarity. - Strong presentation, demo, and white-boarding skills. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: United Kingdom; London Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the Role As the Account Management Lead you'll lead a team of experienced account managers across the UK&I region. You'll balance people leadership, strategic direction, and hands-on customer impact - driving excellence in post-sales outcomes and ensuring your team consistently delivers measurable value to customers and the business. You will: - Lead, coach, and develop a high-performing AM team, owning team and regional NRR performance, customer retention, and expansion goals. - Act as a player-coach: directly manage priority accounts, join key customer conversations, and model best-in-class success practices. - Lead by example in complex post-sales and renewal cycles, unblocking issues, driving adoption, and identifying expansion opportunities. - Set strategic direction for the team, aligning customer success initiatives with company goals and market trends. - Monitor and optimize delivery quality across all accounts, ensuring consistency, excellence, and predictability in customer outcomes, implementing scalable processes that improve accuracy, visibility, and operational efficiency. - Design and implement repeatable playbooks for renewals, upsells, and adoption; automate workflows and tools to scale team impact. - Own the ongoing development and optimization of best practices for Commercial and Scale playbooks, ensuring consistent execution, measurable impact, and continuous refinement as the business evolves. - Build and maintain executive-level relationships across priority accounts, serving as a strategic advisor and customer advocate in internal and external forums. - Represent the voice of the customer in leadership discussions, influencing roadmap, operations, and revenue strategies. - Partner with Europe GTM & cross functional leadership to align organizational objectives, drive cross-functional initiatives, and ensure cohesive execution across customer success, sales, and operations teams. Requirements • 10+ years of experience in Account Management or post-sales roles within SaaS, ideally some of this within UK&I accounts. • Demonstrated technical acumen with the ability to upskill and enable the team — fostering confidence in navigating product capabilities, integrations, and data insights to strengthen customer outcomes. • 5+ years of direct people leadership experience — managing AMs, driving team quota, and developing talent through coaching and enablement. Passion for developing people and building a high-performance, feedback-driven culture grounded in accountability, learning, and customer impact. • Strong player-coach mindset: comfortable managing key accounts directly while leading others to excel in their own portfolios. • Demonstrated success in exceeding renewal, expansion, and NRR goals through effective customer engagement and strategic account management. • Expertise in CS methodologies and best practices (e.g. success planning, adoption frameworks, ROI storytelling, executive alignment). • Strong analytical and operational skills: adept at using data to identify performance trends, optimise workflows, and forecast outcomes. • Strong builder mindset - you thrive in building from scratch, redefining processes and playbooks, and operating with an AI-first mindset • Bonus: Hands-on with tools (Salesforce, Gong, Sigma, Pylon) and capable of improving data quality, visibility, and usage insights across the team. This role is remote-first, so it can be executed from anywhere within UK&I. If you prefer, you can work from our offices in London and Dublin. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are looking for a Lead Technical Recruiter to help build Harvey Labs, our AI research organization. You’ll partner closely with our Chief Research Officer and technical leadership to build the team from the ground up, initially focused on post-training talent across data and evaluations, infrastructure, and modeling and training. You’ll own searches end-to-end, develop talent strategies for highly specialized AI talent markets, and help define how we identify and attract exceptional technical talent as Harvey Labs scales. This is a hands-on role with significant ownership. You’ll operate in ambiguity, develop a strong point of view on the AI talent landscape, and serve as a trusted advisor to technical leadership. WHAT YOU'LL DO - Partner closely with our Chief Research Officer and Harvey Labs leadership to translate technical priorities into recruiting strategies - Own full-cycle recruiting across specialized AI/ML, research, and engineering roles - Build deep talent maps across leading AI companies, research labs, startups, academia, and open-source communities - Develop creative, high-touch sourcing and engagement strategies for exceptional talent, from experienced researchers to emerging new grads - Help leaders define new profiles, calibrate talent bars, and evolve search strategies based on market insights - Advise leadership on talent availability, competitive dynamics, compensation, and candidate motivations - Drive searches from initial market mapping through offer strategy, negotiation, and close - Use data and market intelligence to continuously improve our recruiting strategy - Help build scalable recruiting processes and raise the bar for technical recruiting across Harvey WHAT YOU HAVE - 7+ years of full-cycle technical recruiting experience in fast-paced, high-growth environments - Experience recruiting for technical AI research teams or similarly specialized technical roles - Strong aptitude for understanding complex technical domains and evaluating candidate qualifications - Exceptional sourcer who enjoys identifying hard-to-find talent across research labs, startups, academia, open source, and other nontraditional channels - Willing to take creative, white-glove approaches to engaging and closing exceptional talent - Trusted advisor who can build credibility with highly technical leaders and candidates - Comfortable with ambiguity and able to help shape searches when the profile isn't fully defined - Strong instincts for talent and a genuine interest in the evolving AI landscape - Data-driven and highly organized, with the ability to manage multiple complex searches without sacrificing candidate experience - High ownership, low ego, strong judgment, and a willingness to roll up your sleeves - Leads by example and helps elevate the broader recruiting team - Highly resourceful and fluent with modern AI tools, using them to accelerate research, sourcing, outreach, market mapping, and recruiting operations without sacrificing judgment or the candidate experience COMPENSATION $163,900 - $245,900 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AD2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are looking for a Lead Technical Recruiter to help build Harvey Labs, our AI research organization. You’ll partner closely with our Chief Research Officer and technical leadership to build the team from the ground up, initially focused on post-training talent across data and evaluations, infrastructure, and modeling and training. You’ll own searches end-to-end, develop talent strategies for highly specialized AI talent markets, and help define how we identify and attract exceptional technical talent as Harvey Labs scales. This is a hands-on role with significant ownership. You’ll operate in ambiguity, develop a strong point of view on the AI talent landscape, and serve as a trusted advisor to technical leadership. WHAT YOU'LL DO - Partner closely with our Chief Research Officer and Harvey Labs leadership to translate technical priorities into recruiting strategies - Own full-cycle recruiting across specialized AI/ML, research, and engineering roles - Build deep talent maps across leading AI companies, research labs, startups, academia, and open-source communities - Develop creative, high-touch sourcing and engagement strategies for exceptional talent, from experienced researchers to emerging new grads - Help leaders define new profiles, calibrate talent bars, and evolve search strategies based on market insights - Advise leadership on talent availability, competitive dynamics, compensation, and candidate motivations - Drive searches from initial market mapping through offer strategy, negotiation, and close - Use data and market intelligence to continuously improve our recruiting strategy - Help build scalable recruiting processes and raise the bar for technical recruiting across Harvey WHAT YOU HAVE - 7+ years of full-cycle technical recruiting experience in fast-paced, high-growth environments - Experience recruiting for technical AI research teams or similarly specialized technical roles - Strong aptitude for understanding complex technical domains and evaluating candidate qualifications - Exceptional sourcer who enjoys identifying hard-to-find talent across research labs, startups, academia, open source, and other nontraditional channels - Willing to take creative, white-glove approaches to engaging and closing exceptional talent - Trusted advisor who can build credibility with highly technical leaders and candidates - Comfortable with ambiguity and able to help shape searches when the profile isn't fully defined - Strong instincts for talent and a genuine interest in the evolving AI landscape - Data-driven and highly organized, with the ability to manage multiple complex searches without sacrificing candidate experience - High ownership, low ego, strong judgment, and a willingness to roll up your sleeves - Leads by example and helps elevate the broader recruiting team - Highly resourceful and fluent with modern AI tools, using them to accelerate research, sourcing, outreach, market mapping, and recruiting operations without sacrificing judgment or the candidate experience COMPENSATION $163,900 - $245,900 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AD2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Egypt Workplace: Remote Specright is the first purpose-built, patented platform for Specification Management. Whether it's packaging, raw materials, formulas, products, or machines, Specright helps companies digitize, map, and take action across their supply chain to reduce costs, increase profitability, and drive sustainability. Specright serves customers across industries, including packaging, food and beverage, consumer packaged goods, pharmaceutical, retail, industrials, and more. Specright is looking to hire a Software Engineer II within our Engineering team. In this role you will work closely with other senior engineers to design and develop software systems. You will be assigned the majority of the company's core tech stack and work in limited capacity with the product managers to clear requirements. You will work cross-functionally with teams including Sales, Marketing, Product Management, Customer Success, and Software Engineering. Responsibilities and Duties • Collaborate with Operations, Sales, and Product teams to design and scope out new features for our core platform • Architect solutions based on requirements document for larger features • Design a data schema that will evolve with the needs of a business • Work with Salesforce technologies in the Salesforce ecosystem Qualifications • Minimum BS in Computer Science or related technical field • 3+ years experience in Software Development • 2+ Experience in Salesforce Development • Experience building complex software systems and communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy • Understanding of professional software engineering practices & best practices for the full software life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations • Experience with AI tools and familiar with Agentic SDLC • Experience with agile development methodology • Experience developing Salesforce managed packages is a plus • Salesforce development certification is a plus We are an energetic company with an entrepreneurial, informal, versatile, intelligent, and fast-paced culture. We are a 100% remote company and promote an open and relatively flat organization with an emphasis on collaboration, sharing ideas, and information. It's more important to innovate than to worry about making mistakes. Specright is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: San Francisco, CA 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 SOX Director - Compute and Infrastructure to join our Internal Audit team at Anthropic. In this role, you will lead financial risk assessment and internal control design over compute and infrastructure.  This is Anthropic's largest cost and one of the most complex areas of our financial reporting.  You'll focus on cloud spend, usage-based costs, vendor commitments, accruals, and cost allocation, as we scale rapidly toward an IPO. This is a unique opportunity to build SOX controls at an AI-first company, in a domain where few established playbooks exist. Compute is purchased under multi-year agreements with multiple providers, metered in third-party environments, accrued from internal telemetry, and increasingly provisioned and scheduled by automated systems and agents. You will help define how controls work in that environment for both business and IT environments, from reliance on service providers to full-population monitoring of high-volume usage data, while maintaining the rigor required for public company compliance. As the SOX Director, Compute and Infrastructure, you will own scoping, control design, testing, remediation, and reporting for compute and infrastructure processes, partnering directly with Compute Accounting, Finance Analytics & BI, Infrastructure Engineering, Finance & Strategy, and Procurement to design scalable controls, oversee documentation, and support communication with external auditors. This role reports to the Head of Business Controls and plays a critical part in strengthening internal control maturity through pre-IPO readiness and beyond. Key responsibilities Lead financial risk and internal control design for compute and infrastructure accounting, including cloud spend, usage-based costs, vendor commitments, credits, refunds, accruals, cost allocation, budgeting, and asset lifecycle management Develop and execute the SOX control plan and roadmap for compute and infrastructure, making defensible prioritization calls on what must be controlled now and what can follow Own scoping, risk assessment, walkthroughs, testing, remediation, and reporting activities for compute and infrastructure processes Build scalable, automated, and sustainable controls to support growth through pre-IPO and post-IPO readiness Pioneer the use of AI and automation to enhance control effectiveness, including full-population matching of usage to invoices, continuous monitoring, and anomaly detection Design, implement, and monitor controls over the completeness, accuracy, and cutoff of compute cost, including monthly accruals built from internal workload telemetry and the true-up to provider invoices Establish controls over multi-year provider agreements, including reserved capacity, minimum spend commitments, usage-based charges, signing credits, service-level credits, refunds, and billing corrections Design and test controls over the allocation of compute cost between cost of revenue and research and development, including workload tagging, shared clusters, and changes to tagging logic or allocation models Establish the investigation threshold and variance criteria used in the control design to ensure the precision needed to detect a material misstatement Design and test controls over infrastructure related control inclusive of development of an asset lifecycle management system Oversee control documentation and ensure audit-ready evidence is maintained for all compute and infrastructure processes, in compliance with US GAAP and SEC reporting requirements Own control requirements across high-volume financial data pipelines, partnering with Finance Analytics &BI, Finance & Strategy, and Accounting to validate completeness, accuracy, classification, general-ledger mapping, key reports, and monthly close governance Own the identification and control treatment of key reports and Information Produced by the Entity (IPE) used in compute accruals, allocation, and the close Partner with IT SOX and engineering teams on the IT general controls and automated controls that support compute data, including interface, ITAC’s, and change management over pipelines and models Embed control requirements into new systems, pipelines, and process changes at design time Lead the assessment of reliance on cloud providers that meter and bill compute, including review of SOC 1 reports, scope and period coverage, bridge letters, and exceptions or qualified opinions Define and monitor complementary user entity controls, and design alternative procedures where a provider report is missing, does not cover the relevant system or period, or includes exceptions Assess how the use of AI in Finance and in the close changes what controls need to cover, and update the control environment accordingly Partner with Compute Accounting, Finance Analytics & BI, Infrastructure Engineering, Procurement, and Finance & Strategy to implement scalable controls over compute and infrastructure Work with the Compute Controller and Chief Accounting Officer organizations to align control priorities with business objectives Train and enable process owners and control performers, many of whom are new to SOX, on control execution, evidence retention, and what audit-ready means Support management's assessment of internal controls over financial reporting (ICFR) and related disclosures Serve as the primary point of contact for external auditors on compute and infrastructure SOX matters Prepare the Company's formal positions on control design, provider reliance, and deficiency evaluation for compute and infrastructure Manage audit requests, coordinate testing schedules, and facilitate walkthroughs across compute and infrastructure processes Track and report on control status, testing results, and remediation to leadership Drive alignment with external auditors on testing approaches, reliance strategies, and deficiency evaluation and aggregation assessment Minimum qualifications Have designed controls over cloud, compute, or infrastructure cost, or over a comparable high-volume, usage-based process, and understand control objectives, IPE, and sufficiency of audit evidence Have proven ability to establish or scale SOX controls at newly public or pre-IPO companies Possess deep understanding of compute accruals, vendor commitments, cost allocation, financial close, and US GAAP requirements Have experience evaluating service organization reports (SOC 1 and SOC 2) and complementary user entity controls Are comfortable working with large datasets and data pipelines, and partnering with data science and engineering teams Can structure ambiguous control problems and influence across stakeholders without direct authority Have strong project management, analytical, and communication skills Hold a Bachelor's degree in Accounting, Finance, Business Administration, IT/Engineering Are passionate about building scalable processes that support organizational growth and Anthropic's mission to create safe AI Preferred qualifications Have 12+ years of hands-on SOX, internal audit, or internal controls experience, preferably in both Big 4 and in-house roles at a fast-paced technology company CPA (or similar certification) and/ or CISA Familiarity with cloud provider billing and commitment structures (AWS, GCP, Azure) SQL and comfort working directly with usage, telemetry, and cost data to validate what the systems are telling you Experience with controls over cost of revenue, gross margin reporting, and allocation methodologies Interest in or experience applying AI/ML technologies to audit, compliance, or risk management processes Understanding of lease accounting (ASC 842) and other accounting standards relevant to infrastructure and capacity arrangements Experience working at a high-growth AI or technology company Familiarity with financial data governance, internal controls over financial reporting (ICFR), and SEC disclosure requirements 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: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Roles - EMEA Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Team At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core About the Opportunity We are seeking an experienced, hands-on and commercially minded Senior Compliance Manager to join our Product Compliance team.This is a senior individual-contributor role focused primarily on the day-to-day review of new products, material product changes and existing product enhancements. The emphasis is on delivering timely, well-reasoned product compliance assessments using a risk-based approach, ensuring that material compliance risks are sufficiently mitigated and the firm’s regulatory positioning protected.You will act as a trusted compliance partner throughout the product development lifecycle, helping Product and Engineering teams navigate complex regulatory requirements while enabling commercially viable outcomes. You will be expected to distinguish between legal or regulatory constraints that cannotbe crossed, risks that can be addressed through proportionate controls, and residual risks that require documented escalation or risk acceptance. What You'll Be Doing Own and deliver day-to-day compliance reviews of new products, features, market expansions and material changes to existing products across OKX's global business and product suite Review product requirements, technical documentation, user journeys, onboarding flows, trading or transaction mechanics, reward structures, disclosures and operational processes. Apply a risk-based waterfall that distinguishes hard legal or regulatory blockers from risks that may be addressed through controls, product conditions, jurisdictional restrictions, monitoring orescalation. Conduct and document product compliance risk assessments covering areas such as regulatory perimeter and licensing, AML/CFT, sanctions, KYC, consumer protection, financial promotions, trading and market conduct, asset safeguarding, data privacy and third-party risk. Produce clear, concise and evidence-based and solutions-based compliance recommendations setting out identified risks, required mitigants, residual exposure and the proposed approval or escalation route. Work directly with Product, Engineering, Legal, Risk, Central Compliance and local Compliance teams to develop practical and scalable solutions to identified compliance requirements. Maintain complete and accurate documentation and audit trails for product reviews, decisions, conditions, exceptions, approvals and subsequent changes. Support post-launch monitoring, control testing and assurance in partnership with Audit, Product and other Compliance teams, and drive remediation of identified issues Promote a compliance-by-design culture within the product lifecycle; communicate the Product Compliance framework and program requirements to relevant stakeholders and deliver targeted training or guidance to Product, Engineering and business teams as required. Support special projects and priority product launches in a fast-paced and continually evolving environment. What We Look For In You At least 8 years of relevant experience in Compliance, Legal or Risk within financial services, fintech, payments or the cryptocurrency industry. Bachelor's degree in law, finance, business, economics, engineering or a related field, or equivalent practical experience Significant hands-on experience in product compliance, regulatory advisory or product risk assessment, including advising on new products and material product changes Strong understanding of the digital-asset industry and the products offered by crypto platforms, including trading, custody, payments, staking or earn products, lending, structured products, wallets or DeFi. Strong working knowledge of relevant regulatory and compliance requirements, including licensing and regulatory-perimeter considerations, AML/CFT, sanctions, KYC, consumer protection, financial promotions and trading or market-conduct requirements. Demonstrated ability to analyze products or initiatives involving significant complexity and risk and translate regulatory requirements into practical product requirements and controls. Experience in and demonstrated success in leveraging AI-enabled technology to maintain risk assessment standards, including ongoing tuning of agentic skills aligned with the Company’s risk appetite. Excellent risk judgment and the ability to balance compliance rigor with a pragmatic, risk-based approach that supports responsible commercial outcomes. Proven ability to develop and deliver repeatable product compliance solutions, controls and review processes aligned with broader group requirements. Strong project-management and execution skills, including the ability to manage multiple concurrent reviews, maintain accurate documentation and meet product-launch deadlines Excellent written and verbal communication skills, with the ability to present clear recommendations and lead discussions with Product, Engineering, Legal, Risk, senior management and other Compliance stakeholders. Strong stakeholder-management skills and the ability to influence product decisions and constructively challenge proposals without compromising Compliance rigor. Self-motivated, proactive and comfortable operating independently within a fast-paced, globallydispersed team. High personal integrity and sound professional judgment, including the ability to identify when an issue requires escalation Nice to Haves Direct product compliance or regulatory advisory experience at a crypto exchange, fintech or technology-led financial-services company. Experience supporting multi-jurisdictional product launches and applying regulatory requirements across the United States, European Union, Middle East or Asia-Pacific Practical knowledge of CeFi trading products, including spot, derivatives, leverage, custody, institutional products and OTC flows Familiarity with Web3 products, blockchain technology, smart contracts, DeFi protocols and digital-asset transaction flows. Experience developing compliance risk-assessment frameworks, controls, and key risk indicators Perks & Benefits Competitive total compensation package Various team building programs and company events Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Team At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core About the Opportunity We are seeking an experienced, hands-on and commercially minded Senior Compliance Manager to join our Product Compliance team.This is a senior individual-contributor role focused primarily on the day-to-day review of new products, material product changes and existing product enhancements. The emphasis is on delivering timely, well-reasoned product compliance assessments using a risk-based approach, ensuring that material compliance risks are sufficiently mitigated and the firm’s regulatory positioning protected.You will act as a trusted compliance partner throughout the product development lifecycle, helping Product and Engineering teams navigate complex regulatory requirements while enabling commercially viable outcomes. You will be expected to distinguish between legal or regulatory constraints that cannotbe crossed, risks that can be addressed through proportionate controls, and residual risks that require documented escalation or risk acceptance. What You'll Be Doing Own and deliver day-to-day compliance reviews of new products, features, market expansions and material changes to existing products across OKX's global business and product suite Review product requirements, technical documentation, user journeys, onboarding flows, trading or transaction mechanics, reward structures, disclosures and operational processes. Apply a risk-based waterfall that distinguishes hard legal or regulatory blockers from risks that may be addressed through controls, product conditions, jurisdictional restrictions, monitoring orescalation. Conduct and document product compliance risk assessments covering areas such as regulatory perimeter and licensing, AML/CFT, sanctions, KYC, consumer protection, financial promotions, trading and market conduct, asset safeguarding, data privacy and third-party risk. Produce clear, concise and evidence-based and solutions-based compliance recommendations setting out identified risks, required mitigants, residual exposure and the proposed approval or escalation route. Work directly with Product, Engineering, Legal, Risk, Central Compliance and local Compliance teams to develop practical and scalable solutions to identified compliance requirements. Maintain complete and accurate documentation and audit trails for product reviews, decisions, conditions, exceptions, approvals and subsequent changes. Support post-launch monitoring, control testing and assurance in partnership with Audit, Product and other Compliance teams, and drive remediation of identified issues Promote a compliance-by-design culture within the product lifecycle; communicate the Product Compliance framework and program requirements to relevant stakeholders and deliver targeted training or guidance to Product, Engineering and business teams as required. Support special projects and priority product launches in a fast-paced and continually evolving environment. What We Look For In You At least 8 years of relevant experience in Compliance, Legal or Risk within financial services, fintech, payments or the cryptocurrency industry. Bachelor's degree in law, finance, business, economics, engineering or a related field, or equivalent practical experience Significant hands-on experience in product compliance, regulatory advisory or product risk assessment, including advising on new products and material product changes Strong understanding of the digital-asset industry and the products offered by crypto platforms, including trading, custody, payments, staking or earn products, lending, structured products, wallets or DeFi. Strong working knowledge of relevant regulatory and compliance requirements, including licensing and regulatory-perimeter considerations, AML/CFT, sanctions, KYC, consumer protection, financial promotions and trading or market-conduct requirements. Demonstrated ability to analyze products or initiatives involving significant complexity and risk and translate regulatory requirements into practical product requirements and controls. Experience in and demonstrated success in leveraging AI-enabled technology to maintain risk assessment standards, including ongoing tuning of agentic skills aligned with the Company’s risk appetite. Excellent risk judgment and the ability to balance compliance rigor with a pragmatic, risk-based approach that supports responsible commercial outcomes. Proven ability to develop and deliver repeatable product compliance solutions, controls and review processes aligned with broader group requirements. Strong project-management and execution skills, including the ability to manage multiple concurrent reviews, maintain accurate documentation and meet product-launch deadlines Excellent written and verbal communication skills, with the ability to present clear recommendations and lead discussions with Product, Engineering, Legal, Risk, senior management and other Compliance stakeholders. Strong stakeholder-management skills and the ability to influence product decisions and constructively challenge proposals without compromising Compliance rigor. Self-motivated, proactive and comfortable operating independently within a fast-paced, globallydispersed team. High personal integrity and sound professional judgment, including the ability to identify when an issue requires escalation Nice to Haves Direct product compliance or regulatory advisory experience at a crypto exchange, fintech or technology-led financial-services company. Experience supporting multi-jurisdictional product launches and applying regulatory requirements across the United States, European Union, Middle East or Asia-Pacific Practical knowledge of CeFi trading products, including spot, derivatives, leverage, custody, institutional products and OTC flows Familiarity with Web3 products, blockchain technology, smart contracts, DeFi protocols and digital-asset transaction flows. Experience developing compliance risk-assessment frameworks, controls, and key risk indicators Perks & Benefits Competitive total compensation package Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $200,000 - $300,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: MX - Mexico City, Mexico Scopely is looking for a Compensation Partner, Scopely Explore to join our Total Rewards team in Mexico City, Mexico, on a hybrid basis, with three days per week in the office. At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. We make sure our teams have everything they need to create amazing games. The People team manages everything from benefits & employee engagement to professional development opportunities and more! What You Will Do Serve as the dedicated compensation partner for Scopely Explore, understanding team needs and translating compensation programs into clear guidance and timely support. Review job requisitions and new-hire offers, assess compensation inputs, identify exceptions or risks and provide data-informed recommendations. Support annual and mid-year compensation cycles and administer bonuses and performance-based incentives, from planning through reconciliation. Validate equity-vesting data, resolve discrepancies and partner with Payroll to reconcile compensation-related payroll inputs accurately and on time. Build compensation models and scenarios to support integration decisions and transitions between compensation plans. Maintain compensation data accuracy and governance in Workday through controls, audits and process documentation. Partner with Payroll, Finance, Legal, People Business Partners, HR Technology and Recruiting to resolve issues, coordinate dependencies and deliver compensation work. Document and standardize compensation processes, identify automation opportunities and use AI-assisted workflows to improve speed and quality while maintaining human oversight, data safeguards and output validation. What We're Looking For Demonstrated compensation knowledge and quantitative analysis skills, supported by 3+ years of experience in compensation, total rewards analytics, finance, investment banking or another closely related field. Experience turning complex data into clear recommendations and supporting job-requisition and offer reviews, compensation cycles, incentives, equity-related processes or comparable compensation operations. Proficiency in Excel and experience with human resources information systems or compensation tools. A track record of maintaining accurate data, applying controls and documenting processes, with attention to detail when identifying and resolving discrepancies. Ability to explain compensation topics clearly to different audiences in writing and conversation, collaborate across functions and manage competing priorities while maintaining accuracy and meeting deadlines. Demonstrated experience, operating or improving agentic AI workflows in a business setting. You must be able to design safe workflows, define the agent's steps, place human approvals at appropriate points, safeguard sensitive data, validate outputs, handle failures, document the workflow and measure accuracy and business impact. A bachelor's degree in Human Resources, Business, Finance or a related field, or equivalent practical experience. Strong English language skills are required for this role, as we have a highly diverse, global business. Bonus Points Experience in the gaming, technology or entertainment industry. Workday experience. Workday Advanced Compensation experience is an additional advantage. Certified Compensation Professional (CCP) or a comparable compensation certification. Experience supporting compensation integration or plan-transition work. Experience with Python, R or other tools used for data analysis and workflow automation. At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Remote - Riyadh MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. The Field Architect role at MinIO is a senior customer-facing technical position focused on defining, validating, and guiding architectures for AI, analytics, cloud-native applications, and large-scale data platforms. You will serve as a trusted technical advisor to customers, partners, and internal teams, translating business and application requirements into robust technical designs that deliver measurable outcomes. You will collaborate closely with the broader MinIO team through technical discovery, architecture design, proof-of-concept (PoC) delivery, production onboarding, performance validation, and long-term expansion. Success in this role requires hands-on expertise across the data stack, strong architecture and communication skills, and ownership of customer technical outcomes. What You Will Do: Technical Leadership & Architecture Technical Architecture and Discovery: Lead technical discovery with customers and partners to understand their business goals, data sources, application requirements, infrastructure constraints, and success criteria. Design end-to-end architectures that address those requirements. Data Platform Architecture: Design solutions across the full data stack, including ingestion and change data capture (CDC), batch and streaming pipelines, data processing, lakehouse storage and table formats, catalogs, query and analytics engines, orchestration, data quality, governance, and AI integration. Understand how these components work together and guide customers through architecture decisions and tradeoffs. AI and Analytics Workload Design: Define and validate architectures for AI/ML training and inference, analytics, lakehouse environments, high-performance data pipelines, and modern application data services. Object Storage and S3 Expertise: Serve as a subject matter expert in AIStor, object storage, S3-compatible architectures, distributed systems, replication, erasure coding, security, performance tuning, and large-scale namespace design. Customer Engagement & PoC Delivery Customer Technical Advisor: Build trusted relationships with customer technical stakeholders across data engineering, analytics, AI, infrastructure, platform, security, application, and operations teams. Guide customers toward informed architecture decisions. PoC Ownership and Delivery: Plan and conduct customer PoCs from initial scope through final technical review. Agree on success criteria, design and deploy the solution, integrate the required data stack components, build representative use cases, run functional and performance tests, troubleshoot issues, document results, and drive the PoC to a clear outcome and production plan. Customer Success Beyond the Win: Partner with Customer Engineering, Product Management, and Engineering to help customers move from PoC to production and expand adoption across additional workloads and teams. Ecosystem, Enablement & Field Operations Cloud-Native and Kubernetes Guidance: Provide technical leadership on Kubernetes, containers, automation, and deployment patterns across private, public, and hybrid cloud environments. Solution Integration: Work with customer teams and technology partners to integrate data sources, ingestion and streaming tools, processing and analytics engines, AI platforms, identity systems, observability tools, and infrastructure components. Technical Presentations and Enablement: Deliver architecture presentations, whiteboard sessions, demonstrations, workshops, and technical enablement for customers, partners, and internal teams. RFP, RFI, and Technical Response Support: Lead or contribute to technical responses covering the full data platform, including architecture, integrations, security, scalability, performance, and operational requirements. Product Intelligence & Market Expertise Product and Engineering Feedback: Capture customer requirements, PoC findings, integration needs, and field feedback. Work with Product and Engineering teams to resolve gaps and inform priorities. Competitive and Market Expertise: Stay current on object storage, data lakehouse, AI infrastructure, analytics, Kubernetes, cloud, and competing data platforms. Explain technical differentiation in the context of customer use cases. Your Skills and Experience: 10+ years of experience in a senior customer-facing technical role such as Field Architect, Solutions Architect, Sales Engineer, Systems Engineer, or Technical Consultant. Hands-on experience designing, integrating, and troubleshooting end-to-end data platforms. This should include several of the following: ingestion, CDC, batch and streaming processing, lakehouse architecture, catalogs, query engines, orchestration, data quality, governance, and AI/analytics workloads. Demonstrated experience leading customer PoCs, including defining success criteria, deploying and integrating components, validating functionality and performance, resolving technical issues, and presenting results. Strong understanding of object storage and S3-compatible architectures, including security, replication, data protection, performance, and scale-out design. Hands-on experience with Linux, networking, storage systems, containers, Kubernetes, and modern data center infrastructure. Practical experience with relevant data stack technologies, such as Kafka, Debezium, NiFi, Spark, Flink, Trino, Starburst, Iceberg, Delta Lake, or data catalogs. Experience with every listed technology is not required. Experience designing or supporting AI, machine learning, analytics, lakehouse, or large-scale data pipeline environments. Experience with public and hybrid cloud environments, including AWS, Azure, GCP, OCI, or private cloud platforms. Ability to lead technical discovery, design architectures, build demonstrations, analyze performance, troubleshoot integrations, and communicate tradeoffs clearly. Strong verbal, written, whiteboarding, and presentation skills, with the ability to communicate with both technical and executive audiences. Ability to work collaboratively across customers, partners, Sales, Product, Engineering, and Customer Engineering teams. Strong customer-success orientation, intellectual curiosity, sense of ownership, and ability to prioritize effectively in a fast-moving environment. Willingness to travel as needed to support customers, partners, field events, and internal team activities. Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field; equivalent practical experience will also be considered. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.