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Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. Safety is central to Reddit’s mission and long-term health. Safety & Mods Data Science operates as a closed-loop system: Safety Insights helps the organization understand, measure, and prioritize risk, while Safety Enforcement Data Science builds and optimizes the models, rules, and systems that detect and mitigate abuse effectively, efficiently, and fairly. We are looking for a Senior Data Scientist to join Safety Enforcement Data Science. You will own one or more defined enforcement problem areas and translate ambiguous abuse risks and written policy into measurable signals, labels, detection approaches, actioning logic, and evaluation plans. You will work closely with Product, Engineering, Machine Learning, Policy, Safety Operations, Threat Intelligence, and Safety Insights partners to turn analysis into scaled mitigation. This is a hands-on role. You will investigate adversarial behavior, prototype and evaluate models and rules, tune decision thresholds, define launch guardrails, diagnose enforcement gaps, and monitor systems after deployment. You will also help the team use modern AI methods—including language models—where they improve detection, investigations, labeling, or operational workflows, with rigorous evaluation and appropriate human oversight. This role may involve exposure to sensitive content and participation in an incident-response on-call rotation, including occasional work outside normal hours. Responsibilities: Own the enforcement lifecycle. Lead a defined abuse or enforcement problem from problem framing and signal discovery through labels and taxonomies, model or rule development, thresholding, rollout, monitoring, and iteration. Discover and characterize abuse. Analyze large-scale behavioral, content, account, and network data to identify adversarial patterns, emerging threats, and gaps in existing mitigations. Build and evaluate decision systems . Develop models, classifiers, scoring systems, rules, and analytical prototypes using the statistical, machine-learning, or GenAI methods best suited to the problem. Define decision-quality standards. Create evaluation frameworks that address precision, recall, calibration, coverage, robustness, fairness, user friction, reviewer capacity, and other operational costs—not model performance in isolation. Ship with engineering partners. Partner with Engineering and Safety ML to productionize promising approaches; define data and logging needs, launch guardrails, monitoring and alerting, escalation paths, and rollback criteria. Translate policy into systems. Work with Policy and Safety Operations to convert written policy and product requirements into modelable targets, labels, decision rules, reviewer workflows, and measurable enforcement outcomes. Measure real-world impact. Design staged rollouts, experiments, and observational analyses that test whether interventions reduce harm while managing false positives and downstream effects on users, communities, and operations. Respond and learn. Support investigations and urgent escalations, identify mitigation options, conduct post-incident analyses, and turn one-time findings into durable detection or monitoring improvements. Scale the team’s effectiveness. Build reusable datasets, evaluation harnesses, monitoring tools, and documentation; communicate clear recommendations to technical and non-technical partners; and mentor junior peers when opportunities arise. Stay ahead of the threat landscape. Track emerging abuse tactics and advances in detection, adversarial ML, language models, synthetic data, and human-in-the-loop safety systems, and apply them pragmatically. Required Qualifications: Education & Experience: Ph.D. with 4+ years OR Master’s degree with 8+ years* of relevant industry experience in Data Science, Applied Science, Economics, or a related quantitative role (e.g., Statistics, Computer Science, Operations Research). Applied experience in safety, enforcement engineering, fraud, or similar fast-paced, adversarial domains where data may be incomplete or evolving. Expertise in SQL and Python to write production-grade, reusable analytical code and contribute directly to data pipelines. Strong background in statistical analysis, experiment design, causal modeling, and ML techniques (e.g., classification, ranking, anomaly/pattern detection). Practical knowledge of evaluating real-world decision systems, including sampling, label quality, class imbalance, precision/recall, calibration, thresholding, drift, and monitoring. Proven ability to deconstruct ambiguous problems into scopable components, bias toward action, and drive impactful decisions alongside Product, Engineering, Operations, and Policy teams. Exceptional communication skills with demonstrated ability to convey complex technical concepts, tradeoffs, and recommendations to both technical and non-technical stakeholders. Preferred qualifications Experience in Trust & Safety, integrity, fraud, spam and abuse, account security, cybersecurity, risk, content moderation, or another adversarial domain. Experience with one or more enforcement-relevant methods such as graph or network analysis, NLP, embeddings, sequence or behavioral modeling, weak supervision, synthetic data, or human-in-the-loop evaluation. Experience applying language models to detection, investigations, labeling, reviewer assistance, or workflow automation—and measuring quality, cost, latency, and safety tradeoffs. Experience partnering with engineers to launch and monitor models or rules in production, including incident response and post-launch tuning. Experience designing prioritization or triage systems for human review operations, including analysis of reviewer quality and capacity. Experience assessing fairness, bias, privacy, and policy-aware tradeoffs in automated decision systems. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-SP1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 — $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote - US About the Job: AI-powered workflows are only as good as the customer data underneath them. LaunchDarkly helps engineering teams ship software faster and more safely through feature management, experimentation, and AI delivery tooling. As our GTM Data Governance Manager (MDM), you will  set the rules that make our core customer data (accounts, contacts, subscriptions, and users) accurate, consistent, and trusted across Salesforce, our billing and finance systems, marketing automation, product usage data, and the data warehouse. This is an individual contributor role with real ownership of the data model and its standards. You will partner with Data Engineering, GTM Systems, Finance Systems, Legal, and Security to put those standards into production. Your work is the foundation for reliable reporting, accurate territory and segmentation, clean pipeline attribution, and the AI workflows that depend on high-quality data. Responsibilities: Own the MDM roadmap and operating model for the account, contact, and organization hierarchy domains. Define golden record rules: matching, merging, survivorship, and parent/child hierarchies across CRM, billing, product, and support systems. Set data governance standards, including ownership, stewardship roles, definitions, and quality SLAs, in partnership with Sales, Marketing, Finance, and Customer Success. Run the processes for onboarding new data sources, handling change requests, and managing lifecycle events such as mergers, acquisitions, and customer reorganizations. Design and monitor data quality rules, scorecards, and dashboards covering completeness, accuracy, duplication, and timeliness. Drive remediation and report data health, risks, and progress to leadership with clear metrics and business impact. Specify integration patterns and acceptance criteria across Salesforce, the data warehouse, and enrichment providers, and work with Data Engineering and GTM Systems to build them. Recommend build vs. buy for MDM, identity resolution, enrichment, and data quality tooling. Provide trusted, well-documented data products for analytics and AI use cases. Act as the data owner with Legal and Security on PII handling, GDPR and CCPA requirements, retention, and access controls. Who You'll Work With: Data Engineering and GTM Systems build pipelines and Salesforce configuration. Legal and Security own privacy and security decisions, and you inform them as the data owner. You own the rules, standards, and acceptance criteria that tell everyone else what "correct" looks like. Qualifications: 8+ years of experience in data management, data governance, data engineering, or analytics, including 2+ years leading MDM or data quality programs. Hands-on experience designing match, merge, and survivorship rules and golden record or hierarchy models, with results you can describe. Experience with Salesforce data models and CRM data quality at scale. Experience building and operating a data governance framework: policies, stewardship models, and SLAs. Ability to translate business needs into data requirements and explain technical tradeoffs to non-technical stakeholders. A track record of delivering cross-functional programs without direct authority. Nice to Have Experience at a B2B SaaS company with a product-led or hybrid sales motion, including mapping product users and workspaces to CRM accounts. Familiarity with enrichment and firmographic data, entity matching approaches, and ML-assisted or LLM-assisted matching and cleansing. Working knowledge of data privacy regulations (GDPR, CCPA) and security frameworks such as SOC 2. Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $152,900 - $210,210 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $137,600 - $189,200 ** Zone 3: All other US locations - $129,900 - $178,640* * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Dublin 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 Sales Compensation Analyst to join our Accounting team to support the administration of our sales compensation programs. You will help ensure our GTM team is paid timely and accurately by running calculations, validating data, and answering inquiries. You will partner closely with Sales, Finance, RevOps, and People Ops to translate compensation plans into operational reality. This is a hands-on, detail-oriented role with high visibility, ideal for someone who thrives at the intersection of analytics, systems, and operational rigor. WHAT YOU'LL DO Compensation Administration & Execution - Run quarterly sales compensation calculations and support the payout process - Process commissions, SPIFFs, accelerators, draws, and adjustments in line with plan terms - Prepare compensation plan letters and payout statements for review and distribution - Respond to sales compensation inquiries, disputes, and exception requests - Manage compensation exceptions, disputes, and inquiries Analysis & Reporting - Validate and reconcile data across Salesforce, CaptivateIQ, and financial systems - Prepare reports on earnings, attainment, and payout trends - Gather documentation and support responses to auditor requests Process Improvements & Scalability - Help maintain and improve CaptivateIQ, our sales compensation system. - Document business processes and controls, and identify opportunities for automation - Be the go-to resource for the GTM team on sales compensation support WHAT YOU HAVE - 2-4 years of experience in sales compensation, RevOps, FP&A, or accounting - Bachelor's degree in Accounting, Finance, Economics, or a related field - Working knowledge of sales compensation mechanics (e.g. quotas, accelerators, SPIFFs) - Strong analytical skills with high attention to detail and accuracy - Experience with Salesforce and sales compensation tools (CaptivateIQ, Xactly, or similar) - Advanced proficiency in Excel (lookups, pivot tables, complex formulas) - Proven ability to collaborate cross-functionally and operate in a fast-paced environment - Experience supporting SaaS or high-growth sales organizations - Familiarity with local EMEA labor laws and payroll regulations (nice-to-have) 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-LE1 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: London, England, United Kingdom About the Job: LaunchDarkly is the market leader in software feature management, and we’re now defining what comes next: the runtime control layer for AI development. Our platform de-risks releases and enables systems that heal and optimize themselves. With a presence in 25% of the Fortune 500 and an incredible period of growth underway, we’re looking for the right leaders to take us to the next step. As Regional Sales Director, Enterprise UKI & Northern Europe, you’ll lead a high-performing team of experienced Enterprise Account Executives focused on new business and expansion opportunities, building the pipeline, sales discipline, and customer relationships needed to deliver predictable growth. You’ll collaborate cross-functionally to drive regional performance and support complex enterprise sales engagements. This role is ideal for a sales leader who understands the developer tools space, is passionate about solving complex customer challenges, and thrives in a high-growth SaaS environment. This role reports to our VP, EMEA. Responsibilities: Lead, develop, and manage a team of Enterprise Account Executives across UKI & Northern Europe, driving new logo acquisition and expansion within existing enterprise accounts. Own quarterly and annual team revenue targets, translating regional strategy into clear territory plans and execution priorities. Build a strong outbound pipeline generation culture, partnering with Sales Development and Marketing to create and progress qualified opportunities. Own regional sales forecasting and pipeline inspection, ensuring accurate reporting, clear deal qualification, and proactive management of risks and gaps. Coach Account Executives through complex sales cycles, including discovery, value articulation, stakeholder engagement, negotiation, and close planning. Provide executive sponsorship for strategic opportunities and customer relationships, helping the team engage senior technical and business decision-makers. Partner with senior leadership and Revenue Operations on annual planning, territory assignments, coverage, capacity, and quota and compensation planning. Work closely with Solutions Engineering, Customer Success, Marketing, Sales Development, Revenue Operations, and Enablement to improve sales execution and deliver a coordinated customer experience. Recruit, onboard, develop, and retain high-performing sales talent, fostering an inclusive culture of accountability, collaboration, and continuous improvement. Qualifications: 10+ years of enterprise SaaS software sales experience, including 5+ years in enterprise sales management, or equivalent depth of experience and demonstrated impact. Proven track record of meeting or exceeding team revenue targets and leading experienced sales teams across complex enterprise sales cycles. Experience selling into the UK, Ireland, and Northern Europe, and adapting territory and account strategies to regional customer needs. Demonstrated ability to build pipeline, deliver accurate forecasts, and coach teams to improve deal qualification, progression, and conversion. Experience building and developing sales teams, including hiring, onboarding, performance management, and retention. Experience selling to technical buyers and engaging senior engineering, technology, and business stakeholders. Familiarity with MEDDPICC and Command of the Message, or comparable sales methodologies, and the ability to apply them consistently through coaching and deal inspection. Exceptional management, interpersonal, written, and presentation skills, with strong cross-functional collaboration and business judgment. Ability to thrive in a fast-paced, high-growth, and rapidly changing environment. Understanding of how software delivery platforms improve engineering productivity, release velocity, and delivery confidence. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: London, England, United Kingdom About the Job: LaunchDarkly is looking for a Regional Sales Director, Mid-Market, UKI & Northern Europe to lead the strategy and execution of our Mid-Market UKI & Northern Europe sales business. This leader will own regional performance across new business and expansion, lead and develop Account Executives, and build the operating discipline needed for predictable growth. The role combines hands-on commercial leadership with team leadership. The Regional Sales Director will set the regional plan, inspect pipeline and forecast, shape territory and capacity decisions, and partner closely with Marketing, (Inbound) SDR, Solutions Engineering, Customer Success, Revenue Operations, and Enablement. This role is designed for a sales leader who can operate across the Mid-Market UKI & Northern Europe segment, translate global strategy into regional execution, and build a high-performing, accountable, and inclusive team in a fast-growing SaaS environment. Experience selling across multiple European markets, and an understanding of the cultural, language, and regulatory differences between them, is highly valued. Responsibilities: Own UKI & Northern Europe Mid-Market performance and strategy. Set the regional plan for new logo acquisition, expansion, pipeline creation, coverage, and revenue attainment across the UKI & Northern Europe Mid-Market business. Lead the sales team directly. Develop and support Account Executives through clear goals, consistent operating rhythms, coaching, and performance management, adapting your approach to a team that may be spread across multiple countries and time zones. Drive predictable forecasting. Own forecast accuracy, pipeline inspection, stage discipline, deal progression, and risk management across the region; provide clear updates and actions to senior leadership. Build pipeline and improve conversion. Establish expectations for prospecting, partner with Marketing leaders on pipeline generation (including localised campaigns and regional events), and remove barriers to conversion across the funnel. Coach complex sales execution. Support strategic opportunities, executive alignment, multi-threading, value articulation, negotiation, and close plans across technical and business stakeholders, accounting for differing buying behaviours and procurement norms across markets. Shape territory, coverage, and capacity. Partner with Revenue Operations and senior sales leadership on territory design, segmentation, headcount planning, quota allocation, hiring priorities, and organizational structure, including decisions on language and market coverage needs. Build the team. Recruit, onboard, retain, and develop high-performing sales talent; create a strong management bench and an inclusive culture of accountability and continuous improvement. Qualifications: 10+ years of B2B SaaS software sales experience, including 5+ years in sales management, or equivalent depth of experience and demonstrated impact. Proven track record of meeting or exceeding team revenue targets while leading a high-velocity team through shorter, more transactional sales cycles. Experience selling into the UK, Ireland, and Northern Europe, and tailoring outbound and territory coverage to regional market needs. Demonstrated ability to build and maintain a healthy pipeline, deliver accurate forecasts, and coach reps on qualification, deal progression, and conversion at volume. Experience hiring, onboarding, and developing early-career and mid-level sellers, including performance management and retention. Experience selling to technical practitioners and engineering managers, and the ability to quickly identify and engage the economic buyer. Familiarity with MEDDICC, Command of the Message, or comparable sales methodologies, and the ability to apply them in a streamlined way that fits faster cycles. Strong management, communication, and presentation skills, with a collaborative approach to working with marketing, sales development, and customer success. Ability to thrive in a fast-paced, high-growth, and rapidly changing environment, with a bias toward action and process improvement. Understanding of how software delivery platforms improve engineering productivity, release velocity, and delivery confidence. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: London, England, United Kingdom About the Job: LaunchDarkly helps developers de-risk every release and deliver better software faster. As Manager, Corporate Sales, UKI & Northern Europe, you’ll lead and develop a team of Corporate Account Executives focused on new business and expansion opportunities across the region. You’ll own the team’s revenue targets and provide hands-on coaching across pipeline generation, discovery, deal progression, forecasting, and customer engagement. You’ll build a consistent operating rhythm, help Account Executives develop their skills, and partner cross-functionally to turn regional priorities into strong execution. This role is ideal for a sales leader who enjoys developing talent, stays close to the details of the business, and brings a disciplined, customer-focused approach to selling technical solutions. Responsibilities: Lead, coach, and develop a team of Corporate Account Executives to achieve quarterly and annual revenue targets across new business and expansion. Establish a consistent outbound prospecting and pipeline generation rhythm, partnering with Marketing and Sales Development to create and convert qualified opportunities. Provide hands-on coaching through call reviews, one-on-ones, pipeline reviews, and deal strategy sessions to strengthen discovery, qualification, value articulation, negotiation, and close execution. Own the team’s sales forecast, inspect pipeline quality and deal progression, and identify risks and actions early to improve predictability. Set clear performance expectations, monitor individual and team results, and use data to identify coaching priorities and support improvement. Partner with Account Executives on key customer relationships and complex opportunities, helping them engage technical and business stakeholders and build compelling business cases. Hire, onboard, develop, and retain high-performing sales talent; build an inclusive culture of accountability, collaboration, and continuous learning. Collaborate with Solutions Engineering, Marketing, Sales Development, Customer Success, Revenue Operations, and Enablement to improve sales execution and support a coordinated customer experience. Maintain strong Salesforce and sales-tool discipline, ensuring accurate opportunity data, clear next steps, and reliable performance reporting. Contribute field insights and practical recommendations to Corporate Sales strategy, sales methodologies, process improvements, and regional initiatives. Qualifications: Demonstrated success in SaaS sales, including a strong track record in a quota-carrying closing role and 3+ years of sales management or team leadership experience. Proven ability to lead teams to meet or exceed revenue targets in a Corporate, Commercial, SMB, or Mid-Market sales environment. Experience building outbound pipeline and coaching Account Executives across the full sales cycle. Strong forecasting, pipeline management, and analytical skills, with the ability to translate performance data into clear actions. Experience hiring, onboarding, coaching, and developing sales talent, including addressing performance gaps constructively. Excellent communication, presentation, and negotiation skills, with the ability to build credibility with customers and cross-functional partners. Experience selling to technology buyers or developer-centric audiences; familiarity with the software development lifecycle, DevOps, or feature management tools is a plus. Familiarity with MEDDPICC, Command of the Message, or comparable sales methodologies, and the ability to reinforce them through practical coaching. Ability to operate with urgency, adaptability, and sound judgment in a fast-paced, high-growth environment. A collaborative leadership style and genuine commitment to mentoring others while remaining accountable for team results. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote - US About the Job: LaunchDarkly is seeking a People Systems, Analytics and AI Manager to be our subject matter expert on HR systems and to turn People data into insights that help business leaders make better decisions. You will build the reports, analytics, and dashboards that tell the story of our workforce, and you will use AI tooling to make those stories faster to create, easier to understand, and more compelling. This is an individual contributor role reporting to the Director, People Programs, Systems and Analytics. You will work closely with People Operations, Finance, and leaders across the business, and you will own your work from question to insight to action. We are looking for someone who combines deep HR systems knowledge with strong analytical skills, creativity in how data is presented, and sound judgment about people data and AI. Responsibilities: Serve as the subject matter expert for our HR systems (HRIS, applicant tracking, performance, compensation, and learning platforms), including configuration, data integrity, security roles, integrations, and release management. Design, build, and maintain reports, dashboards, and analytics on headcount, hiring, retention, engagement, compensation, and workforce planning that leaders use to make decisions. Partner with People, Finance, and business leaders to translate questions into clear metrics, definitions, and analyses, and to recommend actions based on what the data shows. Use AI tools to accelerate analysis and create compelling data stories and visualizations, including automated insights, natural-language summaries, and executive-ready narratives. Establish and govern People data standards: metric definitions, data quality checks, documentation, and a single source of truth across systems. Protect employee data by applying privacy, confidentiality, and access controls, and by partnering with Legal and Security on responsible use of AI with People data. Own the intake, prioritization, and delivery of system and reporting requests, balancing quick turnarounds with scalable, self-service solutions. Automate recurring reports and manual workflows to reduce effort and errors, and identify new opportunities where systems and AI can improve the employee and manager experience. Support system projects such as new module rollouts, integrations, data migrations, and annual cycles (performance, compensation, and engagement), including testing, training, and documentation. Enable People Operations teammates and managers through training, office hours, and clear guides so they can use data and tools with confidence. Stay current on HR technology, analytics, and AI trends, and bring practical recommendations to the Director, People Programs, Systems and Analytics. Qualifications: 8+ years of related experience in HR systems, People analytics, or HR operations, with hands-on ownership of reporting and dashboards in a technology or high-growth environment. Expert-level knowledge of at least one major HRIS (for example, Workday, Rippling, or similar), including report writing, calculated fields, and security configuration. Strong proficiency with analytics and visualization tools (for example, SQL, Tableau, Looker, Power BI, or similar) and advanced spreadsheet skills. Demonstrated fluency with AI tooling to analyze data, generate insights, and build visualizations and narratives, with sound judgment about accuracy and appropriate use. Ability to translate business questions into metrics and communicate findings clearly to non-technical leaders. Strong understanding of data integrity, privacy, and confidentiality practices for employee data. Proven ability to manage multiple projects and stakeholders independently and deliver on time with attention to detail. Curious, pragmatic problem solver who enjoys simplifying complex processes and data. Comfortable working with a highly distributed team across time zones. Nice to Have: Experience with data pipelines, data warehouses, or scripting (for example, Python or dbt). Experience with integrations and workflow automation tools. Knowledge of workforce planning, compensation, or engagement analytics. Bachelor's degree in Information Systems, Analytics, Business, Human Resources, or a related field, or equivalent experience. Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $ 121,800 - $167,530 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $ 109,700 - $150,810 ** Zone 3: All other US locations - $ 103,600 - $142,450 * * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: United States Remote Workplace: Remote ABOUT THE TEAM When the world's largest organizations bet on Mural, Govern & Trust is the team that earns that trust at scale. We build the experiences that help enterprises roll out Mural with confidence, keep it secure, and see the impact it has on how their people work. Data sits at the center of it all. Admins are Mural's most demanding data consumers: they need to prove ROI to their leadership, guide adoption across thousands of people, and account for every action. If data products can meet their bar, they'll work for everyone. Mural has a modern data platform, strong data engineering and analytics teams, and a wealth of data on how teams collaborate. The next step is treating that data as a product in its own right, with a dedicated owner for what it means and how it's used. YOUR MISSION As a Senior Product Manager you'll define the metrics that describe how Mural creates value, and make them the shared foundation for everything built on top. The same definitions will power internal product decisions, the Insights experience Admins use in the product, and the reporting API and MCP server that customers and AI agents query. This role starts upstream. You'll work from raw product events to decide what each metric should measure, how it's calculated, and what the data needs to look like for customers and internal teams to rely on it. Then you'll turn those metrics into experiences that help organizations understand and grow their use of Mural. WHAT YOU'LL DO - The evolution of data products. Shape how Mural's data products move from reporting on what happened to guiding what happens next. Work across the Govern & Trust portfolio to define how insights become part of how organizations run Mural. - The metric layer. Define Mural's shared, cross-product metrics, like activity, collaboration, and adoption. Set the standards that let product teams define and publish their own metrics consistently. Data Engineering builds and runs the layer; you shape what goes in it and how it evolves. - Internal product analytics. Be a thought partner to domain PMs as they set their north-star metrics, and make product data easy for them to explore on their own. Work with Business Analytics to keep product-facing and business-facing reporting working together. - Customer-facing data products. Own the strategy and roadmap for Insights: in-product reporting and dashboards, exports and APIs, audit logs, and the methodology behind every number customers see. - AI and agent access. Package and launch Mural's customer-facing reporting MCP server: which data it exposes, which plans get it, and what guardrails apply. Define how natural-language and agent-driven analysis extends Insights. - Instrumentation. R&D teams own emitting events. Your job is to raise the bar on what they emit. Set per-product requirements for granularity and retention, which differ for audit logs, activity data, and product analytics. Partner with Data Engineering on event standards so metrics start from good data. WHAT YOU'LL BRING - 5+ years of product management experience, including shipping at least one analytics or reporting product used by paying business customers. You defined the metrics behind it, not just the UI. - A track record of making messy or conflicting data trustworthy: reconciling competing definitions, writing metric specs engineers could build from, and getting instrumentation changed upstream. - Experience building both platform products, where your customers are internal teams or developers, and end-user-facing data products like analytics, reporting, or insights. You understand how the two have to work together. - Working knowledge of modern data stacks: event pipelines, warehouses and lakehouses, dbt-style modeling, and semantic layers. You can write SQL and pull data yourself. - The ability to get agreement on definitions across teams you don't manage, including PMs, data engineering, analytics, finance, and go-to-market. - Experience with enterprise admin or governance products (IAM, security, compliance, audit) - Hands-on experience with semantic layer tools (dbt Semantic Layer, Cube, LookML) - Experience designing APIs, MCP servers, or connectors for analytics EQUAL OPPORTUNITY  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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 As a Sales Development Representative at Harvey, you will be at the forefront of driving growth and success of our AI solutions across the legal and professional services markets. You will be responsible for supporting the Sales team in driving pipeline, qualifying and establishing relationships with inbound outreach from law and other professional services firms, as well as in-house legal teams, understanding their unique challenges, and presenting AI solutions that streamline their processes and boost work product quality. Your ability to articulate the value of Harvey's products, coupled with your passion for groundbreaking AI technologies and rigorous work ethic will help us shape the future of knowledge work. WHAT YOU'LL DO - Build revenue pipeline aligned with Harvey’s strategic customer profile using a variety of outbound tools and channels and a highly personalized approach - Source new sales opportunities through inbound and outbound outreach. - Provide data-driven insights to inform sales strategies. - Manage and distribute inbound leads, ensuring prompt follow-up. - Qualify leads through tailored evaluations, including product demonstrations. - Support Account Executives with administrative tasks to ensure smooth sales procedures. - Contribute to developing our sales playbook and document learnings. - Achieve and exceed qualified lead targets and key sales metrics. WHAT YOU HAVE - 1-2+ years of experience in a fast-growing startup, preferably in sales development or project management. - Strong executive presence and comfort presenting to sophisticated executive buyers. - Independent, driven, and approach work with rigor and thoughtfulness. - Ability to convey technical concepts to non-technical audiences. - Proficient with Salesforce, Salesloft, and reporting tools. - Collaborative team player able to work across internal functions. - Passionate about Harvey’s mission with a strong understanding of AI applications in knowledge work. - Interest in the legal profession; experience in the legal industry is a plus but not required. COMPENSATION $110,000 OTE, 80/20 split DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JL1 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: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken is on a mission to build the most trusted bridge between crypto and traditional finance. The Financial Systems Engineering team connects activity across products, payments, banking, and digital assets to the data, ledgers, controls, and applications Finance relies on. Our engineers bring expertise in data engineering, complex transaction flows, financial systems, and reconciliation. We partner with Treasury, Accounting, Tax, FP&A, Product, Risk, Security, Compliance, and platform engineering to make financial data reliable, explainable, and auditable. THE OPPORTUNITY - Report to the CFO and lead the engineering vision for Kraken’s financial systems, translating Finance priorities into a clear technical strategy and delivery roadmap - Assess the current landscape, including fragmented data, processes, and technical debt. Define a target architecture and phased transformation plan based on evidence, business needs, and sound engineering judgment - Lead, coach, and grow a team of specialists across financial systems, data engineering, integrations, and ledger-related services. Establish clear ownership and develop technical leaders - Set standards for the completeness, quality, lineage, and ownership of financial data, from source events through transaction and balance records, reconciliation, accounting, and reporting - Contribute to architecture decisions for ledgers, subledgers, financial data models, APIs, and integrations across fiat and crypto activity. Determine what should be standardized and where distinct product flows need governed treatment - Partner with Accounting and Treasury to improve account and legal entity attribution, financial controls, reconciliation, exception handling, and the traceability of records across internal and external systems - Lead modernization and migration without disrupting close, reporting, fund movements, or other critical Finance operations. Define validation checkpoints and criteria for retiring legacy processes and systems - Establish end-to-end testing, documentation, observability, release controls, and incident response practices that account for the financial impact of upstream changes - Partner with Product, platform engineering, Risk, Security, Compliance, Tax, and Legal on system boundaries, access controls, resilience, regulatory needs, and auditability - Evaluate build, buy, and integration options; review consequential designs; and communicate architectural decisions, sequencing, risks, and tradeoffs clearly to Finance and Engineering leaders WHAT YOU WILL TACKLE FIRST In your first year, you’ll build the foundations for a more reliable, scalable Finance architecture: - Move key reconciliations from a monthly to a daily cadence, with clear ownership and a process for resolving exceptions - Reduce the time needed to find the root cause of reconciliation breaks from weeks to days - Map and validate the source tables and transformations that actually feed financial statements, establishing lineage and ownership - Complete the UAT data lake connections needed to test financial data flows end to end before changes reach production WHAT YOU BRING - Significant software engineering and technical leadership experience, including leading experienced teams through complex financial systems or data architecture change - A strong track record of hiring, coaching, and developing specialists while creating clear ownership, high engineering standards, and effective cross-functional partnerships - Deep understanding of ledgers, subledgers, double-entry concepts, reconciliation, settlement, and the path from an operational event to an auditable financial record - Experience with crypto or digital asset infrastructure and the challenges of connecting on-chain activity, internal balances, custody or wallet flows, and traditional financial systems - Strong technical judgment in distributed systems, data engineering, APIs, event-driven processing, and integrations across complex platforms - Experience defining a target architecture and delivering a transformation roadmap across fragmented or legacy systems while sustaining production reliability - Experience designing for data completeness, accuracy, lineage, reconciliation, access control, and auditability - Sound judgment in production operations, including incident response, monitoring, debugging, change management, and reliability improvements - Ability to partner with senior Finance and Engineering leaders and translate financial, operational, and control needs into a practical engineering roadmap - Ability to lead experts and make informed architecture decisions without needing to be the deepest specialist in every domain; clear communication of priorities and tradeoffs to executives and technical teams - Experience with Rust, TypeScript/Node.js, or Python; finance applications such as NetSuite, Kyriba, or BlackLine; and SOX or SOC control environments is valuable Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: New York 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 The Business Recruiter, GTM partners with Harvey's go-to-market leadership to attract and close top talent across Sales, Customer Success, Partnerships, and Revenue Operations. Sitting within the Talent organization under the North America Business Recruiting team, this role owns full-cycle recruiting for some of Harvey's highest-volume and most strategically critical functions. The Senior Business Recruiter drives hiring velocity and pipeline quality while operating as a trusted advisor to hiring managers navigating rapid growth across multiple geographies. They partner cross-functionally with Recruiting Operations, People Business Partners, and Sales leadership to ensure process rigor without sacrificing speed or candidate experience. This is an opportunity to shape how a category-defining AI company builds its revenue engine during a period of exceptional growth. WHAT YOU'LL DO - Own full-cycle recruiting for GTM roles across Sales, Customer Success, Partnerships, and Revenue Operations — from sourcing through close — across multiple North American locations. - Build and maintain high-quality, diverse candidate pipelines through proactive sourcing, referral cultivation, and market mapping. - Serve as a strategic partner to hiring managers: leading intake meetings, setting calibration bars, advising on market conditions, and resetting expectations when needed. - Drive process improvement and operational excellence — identifying bottlenecks, implementing scalable workflows, and tracking recruiting metrics to inform decisions. - Manage competing priorities across multiple open requisitions while maintaining a high-touch candidate experience and meeting aggressive hiring timelines. WHAT YOU HAVE - 4+ years of full-cycle recruiting experience, with a meaningful portion supporting GTM or business functions (Sales, CS, RevOps, Partnerships) at a high-growth technology company. - Demonstrated ability to partner with senior hiring managers, influence decisions with data, and manage stakeholder expectations in a fast-paced environment. - Strong sourcing toolkit and a creative approach to building pipelines in competitive talent markets. - Excellent project management skills with the ability to juggle multiple requisitions, drive process improvements, and maintain attention to detail under pressure. - Clear, confident communication skills and high emotional intelligence — comfortable navigating ambiguity and competing priorities with poise. COMPENSATION $96,000 - $145,000 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-NB1 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: San Francisco, CA | New York City, NY 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 hiring a Technical Program Manager to lead high priority safety and security programs which advance defense in depth for agents, which we have written about publicly . You will be the lead TPM coordinating work across teams to strengthen how we develop and deploy agents safely and securely, and to bring what we build internally to customers and partners so everyone has the tools to safely and securely use Claude. You will be responsible for leading meetings with executives and technical leads, maintaining complex project plans, identifying and addressing risks, developing metrics, and communicating to the company and our customers about this work. Responsibilities: Maintain the roadmap - Maintain and extend the existing roadmap for all work contributing to this effort across the company and implement approaches to ensure accuracy and relevance amidst a fast operational tempo. Turn program goals into measurable exit criteria at each phase of the work - To do this well you’ll need to be responsive to new developments in capabilities and the threat landscape, both of which are evolving fast. Maintain key metrics and dashboards. Run the operating rhythm - Chair the leads meetings, working group meetings, design reviews, and executive check-ins. Record decisions and actions, disseminate sitreps quickly and regularly, and follow up until open issues close. Lead executive and contributor communication - Drive conversations, write regular reports, contribute to design documents, and produce decisional documents as needed. Say plainly what is on track, what is not, and where help is needed. Maintain the risk register - Track risks, exceptions, and risk acceptances in one place and bring hard calls to the right decision maker. Drive company-wide communications - Partner with internal communications on progress updates and on rollouts that change how employees work with Claude every day. Lead through other TPMs - Coordinate subject matter specific TPMs and engineering managers who do not report to you. Set shared standards, spot coverage gaps, and step in to augment capacity where needed. Take coordination load off technical leaders - Find owners for cross-team problems, frame tradeoffs across Security, Safeguards, Research, Privacy, Legal, and Product, manage staffing tasks, and organize exercises that test our controls. Maintain industry context - Track relevant incidents, capabilities shifts, and research across frontier labs, and understand the key risks they reveal. Bring those lessons into our threat model, roadmap, and risk register. You may be a good fit if you: Have led company-wide technical programs, especially a company-wide security program, with multiple workstreams, executive sponsors, and other program managers rolling up to you. Have a strong background in at least one of the program's domains: agent or infrastructure security, ML classifiers and monitoring, evaluations, inference infrastructure, protecting an organization’s most sensitive data, or shipping security controls to customers. You know the terminology and can ramp up on the rest quickly. Have worked closely with ML research teams and understand how models are trained and evaluated. Work independently. You set direction without waiting for instructions and know when to make decisions and when to escalate. Can command a room and hold senior engineers, researchers, and executives accountable without formal authority. Write clearly and fast for any audience, from a one-page executive brief to a company-wide announcement. Use AI tools like Claude to automate tracking, reporting, and follow-up. Care about AI safety and want to help keep powerful systems under human oversight. Have 10+ years of experience in one of the aforementioned areas. Deadline to apply: None, applications will be received on a rolling basis. Annual Salary: TBD with Recruiting. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: 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 RL teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Fable 5.1 and Claude Opus 5.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implementing our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to design silicon. Hardware design is difficult and unforgiving – exactly the sort of domain we want Claude to excel at. You'll leverage your chip design expertise and turn it into tasks and signals for models to learn from. Specifically, you will: Invent, design, and implement RL environments and evaluations for agentic RTL generation, design (including formal) verification, physical design optimization. Work on cross-cutting RL considerations such as EDA-tool latency optimization and proxy rewards. Conduct experiments and shape our roadmap. Deliver your work into research and production training runs. Collaborate with other researchers and engineers across and outside Anthropic. You may be a good fit if you: Have expertise in ASIC or FPGA design: RTL, design verification (UVM, formal methods, coverage-driven), physical design (synthesis, place-and-route, timing closure), PPA optimization, DFT, ECOs. Are fluent with industry EDA tools and processes. Have taped out chips and have experience going from spec to silicon. Know how to balance research exploration with engineering implementation. Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have: Experience with reinforcement learning, evaluations or environments. Built tooling or automation around chip design flows. Worked on ML accelerators or high-performance compute hardware. Familiarity with high-level synthesis or architecture simulators. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of 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: Chicago 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 The Business Recruiter, GTM partners with Harvey's go-to-market leadership to attract and close top talent across Sales, Customer Success, Partnerships, and Revenue Operations. Sitting within the Talent organization under the North America Business Recruiting team, this role owns full-cycle recruiting for some of Harvey's highest-volume and most strategically critical functions. The Senior Business Recruiter drives hiring velocity and pipeline quality while operating as a trusted advisor to hiring managers navigating rapid growth across multiple geographies. They partner cross-functionally with Recruiting Operations, People Business Partners, and Sales leadership to ensure process rigor without sacrificing speed or candidate experience. This is an opportunity to shape how a category-defining AI company builds its revenue engine during a period of exceptional growth. WHAT YOU'LL DO - Own full-cycle recruiting for GTM roles across Sales, Customer Success, Partnerships, and Revenue Operations — from sourcing through close — across multiple North American locations. - Build and maintain high-quality, diverse candidate pipelines through proactive sourcing, referral cultivation, and market mapping. - Serve as a strategic partner to hiring managers: leading intake meetings, setting calibration bars, advising on market conditions, and resetting expectations when needed. - Drive process improvement and operational excellence — identifying bottlenecks, implementing scalable workflows, and tracking recruiting metrics to inform decisions. - Manage competing priorities across multiple open requisitions while maintaining a high-touch candidate experience and meeting aggressive hiring timelines. WHAT YOU HAVE - 4+ years of full-cycle recruiting experience, with a meaningful portion supporting GTM or business functions (Sales, CS, RevOps, Partnerships) at a high-growth technology company. - Demonstrated ability to partner with senior hiring managers, influence decisions with data, and manage stakeholder expectations in a fast-paced environment. - Strong sourcing toolkit and a creative approach to building pipelines in competitive talent markets. - Excellent project management skills with the ability to juggle multiple requisitions, drive process improvements, and maintain attention to detail under pressure. - Clear, confident communication skills and high emotional intelligence — comfortable navigating ambiguity and competing priorities with poise. COMPENSATION $96,000 - $145,000 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-NB1 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: USA (Remote) Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. Responsibilities - Build and operate the Security Observability & Data Platform (tens of TB/month and growing). This covers ingestion, normalization and retention, plus the query and detection layer on top. Detections are code: tested, reviewed, and measured for precision. - Own endpoint security across the fleet: deploy, tune and respond with EDR; run and configure binary authorization; and set hardening baselines with IT Operations. - Lead threat hunting, internal investigations and insider-threat work. Handle security incidents end to end: triage, containment, forensics, root cause, and the control that prevents a repeat. - Build the next generation of security services and run them in production: zero-trust AuthN/AuthZ, a uniform blocking service, an application proxy, asset inventory, developer portal, and compliance as code. - Build and run the agent platform (local and Kubernetes). Use LLM agents to automate triage, enrichment, investigation and response, with deterministic checks wherever a model's answer isn't enough. - Review infrastructure and cloud designs (Kubernetes, AWS/GCP, bare metal, CI runners) for security, and help engineering teams adopt the shared services instead of building their own. - Run red-team and adversary-emulation exercises, and turn the results into detections and fixes. - Write runbooks and post-mortems that someone who wasn't in the room can follow at 3 a.m. Minimum Qualifications - Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. - 5+ years in security engineering, detection and response, or infrastructure/SRE with a security focus, including hands-on incident response on endpoints and in the cloud. - Experience operating an EDR, writing and tuning detections. Knowledge of macOS and Linux internals as attackers use them: persistence, credential theft, process injection, living-off-the-land binaries. - Experience building or operating telemetry pipelines and a SIEM or security data lake at TB scale. Strong SQL, including detection logic over large datasets. - Hands-on production engineering: Linux, containers, Kubernetes, at least one major public cloud, infrastructure as code, monitoring and alerting. - Proficiency in Python or Go, and comfort with Rust or willingness to work in it (most of Mysten's stack are Rust). - Working knowledge of identity: SSO (OIDC/SAML), phishing-resistant MFA, device trust, and how session and token theft work. - Strong written communication: can run an incident channel and write the post-mortem. - Interest in the web3 space is required. Preferred Qualifications - Experience building zero-trust access, identity-aware proxies or policy engines. - Binary authorization or allowlisting at fleet scale - Familiarity with the threat actors that target crypto companies and their methods, from social engineering and fake campaigns to supply chain compromises. - Digital forensics (memory, disk, macOS unified logs) and malware analysis. - Experience building security tooling with LLM agents (Claude Code skills or comparable), and a clear sense of where models help and where deterministic tooling has to do the work. - Compliance as code (CIS benchmarks); experience in ISO 27001 or SOC 2 environments. - Publications, conference talks or open-source security tooling. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

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 You will run the external audit calendar for our SOX 404 program as we scale toward an IPO. That means coordinating with our external auditors across the year, aligning testing windows with control owners, educating our control owners, and keeping requests and deliverables on schedule. You will also own SOX scoping and risk assessment cycles, deficiency tracking, and status reporting, and help roll out our GRC platform so the program runs from one system of record instead of spreadsheets. You will scale the program through AI-enabled workflows that reduce manual effort and speed up our SOX program. This role reports to the Head of Business Controls and works closely with everyone on the SOX and Internal Audit team. This is an individual contributor role for someone who keeps a complex program on schedule, writes clearly, and makes the program simpler each cycle. Key responsibilities Own the annual SOX audit calendar, including interim and year-end testing windows, walkthrough schedules, and key deliverable dates agreed with external auditors. Serve as the day-to-day point of contact for external auditor requests. Triage, route, and track each request to closure, including PBC (provided-by-client) lists and evidence deliveries. Coordinate auditor walkthroughs and fieldwork with process owners, control owners, and the SOX Testing team, so each control owner is asked for the same evidence once. Track auditor findings, management responses, and deficiency follow-ups, and report status to Internal Audit leadership. Prepare control owners and process owners for auditor sessions, and get evidence delivered on time without direct authority over them. Lead the annual SOX scoping and risk assessment, including quarterly refreshes, and support the annual Fraud Risk Assessment, so the program has appropriate scope and coverage under COSO. Monitor BP and IT SOX testing and report status to leadership and share status with external auditors Lead work with the business to improve control documentation, including education of templates and SOX guidance. Find optimization and automation opportunities across the SOX lifecycle through the use of AI. Support the rollout of the GRC tool for SOX, including control libraries, workflows, evidence requests, and testing templates. Define the data and reporting requirements the platform must meet, and test that it produces what the program needs. Run the quarterly sub-certification process and report results to leadership Own SOX program status reporting: dashboards and metrics for leadership, audit calendar progress, and deficiency and remediation status. Own status reporting for the full SOX lifecycle: scoping and risk assessment, testing, deficiencies and remediation, segregation of duties (SOD), SOC 1 report reviews, the fraud risk assessment, and audit calendar progress. Minimum qualifications Big 4 audit firm experience on SOX 404 or ICFR engagements, including managing audit calendars, PBC requests, and fieldwork with external audit teams. Experience working directly with external auditor teams on requests, testing schedules, and findings, from the company side. Several years of hands-on SOX 404 experience, including scoping, risk assessment, control documentation, testing, and deficiency evaluation. Working knowledge of the COSO framework, ICFR, and PCAOB standards. Experience developing or maintaining Risk and Control Matrices and process documentation or flowcharts. Experience implementing or administering a GRC systems Experience reporting program status, metrics, and issues to senior leadership. Ability to get control owners to deliver on time without authority over them. Clear writing and calm coordination under deadline pressure. A Bachelor's degree in a related field or equivalent experience. Preferred qualifications In-house SOX experience at a pre-IPO or newly public company. Experience running a fraud risk assessment. CPA, CISA, or similar certification. Comfort with SQL or data tools for reporting, and experience building lightweight automations, including with Claude. 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: Singapore, Singapore 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. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity The Compliance Analyst conducts day-to-day monitoring, triage, and execution of electronic communications surveillance across email, chat, messaging platforms, and digital communication channels. Working within established procedures and SLAs, this role executes high-volume alert processing, identifies potential risk indicators, and escalates non-standard cases. This role reports to the Director of Anti-Bribery, Corruption & Conduct and supports the team by leveraging AI-assisted tools and ensuring high precision in daily surveillance operations. What You’ll Be Doing Operational Surveillance & Risk Detection Execute Primary Triage: Perform daily review and triage of e-communications alerts across email, chat, text, and messaging channels within target SLA timelines. Identify Risk Indicators: Apply foundational compliance and regulatory guidelines to detect potential policy breaches, misconduct, or operational risk indicators. Maintain Audit-Ready Records: Execute precise data entry and case logging to ensure complete, compliant documentation for audit trails. Case Processing & Escalation Gather Case Context: Conduct initial background gathering and evidence collection on flagged communications to support case evaluations. Draft Clear Case Notes: Prepare structured, fact-based summaries outlining key findings for non-standard alerts requiring upper-level review. Escalate Complex Issues: Promptly escalate ambiguous, high-risk, or complex matters to senior analysts and leadership. Operational Efficiency, AI & Continuous Improvement Meet Volume & Quality Targets: Consistently hit daily output targets (KPIs) while maintaining strong precision in case evaluations. AI Tooling & Automation: Utilize AI-assisted surveillance platforms, prompt engineering, and automated workflow enhancements to streamline alert review and triage quality. Support Lexicon & Model Tuning: Identify recurring false positives and operational bottlenecks, providing feedback to help refine alert parameters and ML /AI model accuracy Drive Process Enhancement: Bring strong intellectual curiosity and a proactive mindset to continuously challenge existing surveillance workflows, proposing innovative ways to improve operational efficiency. Expand Domain Knowledge: Actively participate in ongoing training to build technical expertise across crypto regulations, market conduct rules, and emerging compliance technologies. What We Look For In You Mandarin Language Proficiency: Fluent in Mandarin (written and spoken) to support regional, cross-border, and multi-lingual e-communications surveillance across global team channels. AI & Technical Aptitude: Hands-on experience working with AI-driven compliance tools, large language models (LLMs), or automated workflow tools to enhance daily analytical tasks. Mindset & Drive: Strong curiosity and an inherent drive to continuously refine processes, automate repetitive tasks, and elevate overall team performance. Analytical Skills: Strong attention to detail with the ability to synthesize unstructured text data, spot nuances, and present concise findings. Education / Experience: BA/BS in Finance, Law, Business Administration, or a related field (or equivalent practical experience). Nice to Haves Prior exposure to specialized e-communications surveillance software (e.g., Smarsh, Behavox, Relativity) or lexicon/keyword monitoring tools. Understanding of market abuse indicators, insider trading, or conduct risk concepts within financial services or digital assets. Background in crypto, digital assets, Web3, or multi-lingual operational support. 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. 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: New York, New York; San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Truly unique opportunity to shape and scale self-optimizing paid marketing systems for Growth. This role exists to turn our performance marketing experimentation program from a prototype into the operating system. The opportunity calls for deep paid-growth expertise and a strong grasp of how channel mechanics, audiences, creative, measurement, experimentation, and automation fit together. You’ll set the strategy and operating model, and guide the agentic infrastructure that brings it to life. You’ll partner with BizOps, Strat Fin, Growth, Ecosystems, and Marketing across Meta, LinkedIn, Google, and ChatGPT, interpreting always-on geo, cohort, creative, and spend signals in context. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - By day 90: - Map how geo, audience, creative, spend, measurement, experimentation, and platform constraints interact; establish an operating model that turns those signals into hypotheses, tests, and clear kill/scale decisions, with agents supporting execution. - Build a deep understanding of onboarding and activation, and how paid acquisition connects to downstream user quality; partner with Growth PM and Ecosystems PM on meaningful improvements. - Establish how AI and agents can strengthen the end-to-end decision system—from analysis and hypothesis generation to creative and audience development, experiment QA, and reusable workflows—improving decision quality, not only execution speed. - By the end of year one: - Graduate the program from managing the experimental budget to managing the majority of paid spend, while maintaining efficiency and Notion’s quality bar for ad creative. - Establish stronger measurement and a clear, connected view of which experiments move which metrics, why they work, and how results vary by user cohort; use that understanding to shape more personalized experiences. - Turn the system into a repeatable model for Demand Generation, raising the standard for experimentation, measurement, and agentic marketing infrastructure across the organization. SKILLS YOU'LL NEED TO BRING: - Strong systems fluency across APIs, automation pipelines, and agentic systems. You can see how platform integrations, data, measurement, workflows, and constraints fit together; shape sound architecture and tradeoffs; and partner credibly with technical teams to make the system reliable. - Deep paid-growth subject matter expertise across platforms such as Meta, LinkedIn, and Google. You understand how channel mechanics, budgets, audiences, creative, and performance interact, and can connect those dynamics to real marketing outcomes. - Expert measurement and performance-analysis judgment: you can interpret geo, cohort, creative, and spend signals in context, identify meaningful patterns, understand what is driving them, and make clear kill/scale decisions. - Strong product and systems judgment across technical and marketing domains, with the ability to connect the parts into a coherent strategy and translate an ambiguous frontier into a system with a high quality bar. - High-agency cross-functional ownership: you can work across BizOps, Strat Fin, Growth, Ecosystems, and Marketing to align decisions and deliver the full loop from strategy through operating model and infrastructure to outcomes. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $191,000 - $225,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.