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Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW The Business Development team at Harvey is responsible for enabling step-change outcomes, working in lock-step with go-to-market and product leadership. We rapidly adapt to the changing market environment, unlock new product experiences, and deliver new business. As a member of this team, you will help us build differentiated product offerings and scalable go-to-market motions. This role owns the legal research side of that work. You will source, evaluate, and negotiate access to the legal research content our products are built on and connected to, across both primary and secondary sources. You will quarterback these deals from identification and evaluation through negotiation and product integration. Legal content is a difficult market to work in. Rights are fragmented, licensing terms are idiosyncratic. We are looking for someone who already understands that terrain, either because they practiced and relied on these materials every day, or because they sat on the other side of the table building and licensing them. You will work closely with senior stakeholders across product, engineering, finance, legal, and go-to-market functions to drive strategic initiatives and ensure successful partnership outcomes. Your ability to articulate the value of Harvey's product and sales strategy, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work. WHAT YOU'LL DO - Develop and execute a strategic plan for legal content and data partnerships, aligned with Harvey's overall product and GTM strategy. - Independently identify, evaluate, and establish a range of partnerships with legal content and data providers. - Assess corpora on the merits: jurisdictional coverage, historical depth, update cadence, editorial enhancements, metadata quality, and what rights actually come with the data. - Negotiate complex licensing agreements, ensuring mutually beneficial terms and alignment with company goals. - Conduct quantitative analysis, create business cases, and present them to executives. - Collaborate closely with product, engineering, finance, legal and GTM teams to oversee the successful integration of new content sources into the product. - Build and nurture strong long-term relationships with key partners, ensuring mutual success and achievement of partnership goals and business objectives. - Operate autonomously, being both a proactive executor and strategic thinker at Harvey pace. WHAT YOU HAVE - You practiced law in the United States, or you helped build the tools lawyers practice with. We have a strong preference for litigators who have real fluency in the legal research corpus. Experience working in business development, product, or corporate development is a strong plus. - Proven ability to develop executive relationships, negotiate complex contracts, and problem-solve with external partners to drive distribution in new markets. - Experience collaborating with product teams to develop and distribute new technology solutions. - Team player who can collaborate effectively across internal functions (Product, Legal, GTM, etc.) to achieve common goals. - Demonstrated passion for Harvey's mission and a strong understanding of AI and its potential applications in knowledge work. - Comfort with ambiguity and the ability to thrive in a fast-paced, evolving environment. - Excellent communication and interpersonal skills—can influence without authority and drive urgency with empathy. COMPENSATION $240,000 - $260,000 USD OTE 70/30 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-TA1 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 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 Development team leads Harvey's partnerships with the cloud hyperscalers, frontier AI labs, inference providers, data suppliers, and emerging open source ecosystem. These are multi-dimensional relationships: the same companies we build with are also the ones we build on and go to market alongside. Our work spans commercial deal structuring, co-selling, co-development, and co-marketing, working cross-functionally with Finance, Research, Product, Sales, Marketing, and other teams across the company. As a member of the Cloud & AI team, you will help drive strategic partner initiatives and engagement ranging from new model releases and product launch announcements to commercial agreements and co-marketing campaigns, and own the tactical execution that follows: activating commercial marketplaces, unlocking channel GTM opportunities, accelerating field enablement, and supporting day-to-day requests. It is a unique opportunity that gives you a front row seat to how fast-growing AI companies work together to drive mutual growth. This is a zero to one builder role on a team that will grow alongside the partner portfolio. You will be tasked with working across a wide range of programs and initiatives, including standing up new operational processes and ongoing partner reporting. Much of what this role touches does not have a defined playbook yet. The ideal candidate is a strong operator who can bring structure to complex partnerships, move comfortably between strategic work and hands-on execution, and build programs that scale as the team grows. WHAT YOU'LL DO PARTNER RELATIONSHIP & COMMERCIAL MANAGEMENT - Serve as a go-to resource for multiple cloud, frontier lab, and inference & data partners, and act as a consistent point of contact across internal and external teams - Run regular partner business reviews and joint planning sessions, including quarterly goal setting and executive involvement - Support commercial negotiations, including business case development and deal structuring, working closely with Finance, Product, and Research through to signature - Track partner activity, program performance, and progress against joint plans, and provide clear updates to stakeholders JOINT GO-TO-MARKET & CO-SELLING - Run the co-sell motion with select partners: drive partner-sourced and partner-influenced revenue by designing plays that build momentum with field teams (account mapping, deal registration, pipeline reviews, and alignment with Harvey's sales org) - Activate and operate Harvey's presence on commercial cloud marketplaces, including listings, private offers, and the operational workflows behind them - Support Harvey's sales team on individual partner-supported opportunities by bringing in the right partner contacts, unlocking partner resources, and clearing blockers - Build enablement materials for both sides: partner-facing Harvey narratives, and internal guides on how to sell with each partner CO-DEVELOPMENT & CO-MARKETING - Coordinate joint technical programs with partners, connecting Harvey's Research and Product teams with their counterparts and keeping feedback moving in both directions - Support product launch co-announcements, lining up timing, messaging, and approvals across Harvey Marketing and partner communications teams - Launch joint marketing programs with partners: case studies, webinars, events, and co-branded content - Maximize Harvey's standing in partner programs to unlock funding, technical resources, and go-to-market support BUILDING THE FUNCTION - Contribute to the operational foundation of the team, including portfolio tracking, partner plans, pipeline reporting, and regular reporting cadences with leadership - Develop repeatable processes and internal frameworks for how partnerships are evaluated, launched, and reviewed, so that programs stay scalable as the team grows - Keep internal teams across Sales, Product, Research, Marketing, and Finance current on partner activity through regular updates and business reviews - Take on new scope as the partner portfolio and the team expand over time WHAT YOU HAVE - 5+ years of professional experience in partnerships, alliances, sales, business development or corporate development, ideally at a high-growth company where programs were in their infancy and the partner motion was still being built - Experience structuring or managing complex alliances or partnerships, including commercial negotiations - Experience or knowledge of commercial marketplaces, including listings, private offers, and deal transaction mechanics - Track record of sourcing or influencing revenue through partner channels, ideally with ownership of a pipeline or revenue target - Experience across co-selling, co-marketing, and co-development, with a feel for the nuanced dynamics of partners who are suppliers, channels, and product enablers - Understanding of the AI ecosystem: the major cloud providers and frontier labs, how models are served and priced, and the emerging players across each market - Strong program management skills, including the ability to manage multiple workstreams, establish clear owners and timelines, and lead initial ideation through execution - Excellent written and verbal communication skills with the ability to synthesize complex information and communicate clear recommendations to executives - Comfort with ambiguity and a bias toward building when there's no existing process to follow, and the ability to influence without authority across teams COMPENSATION $200,000 - $275,000 USD OTE 70/30 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-TA1 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: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Our mission Serve as Mistral AI’s senior technical authority for critical electrical, mechanical and life-safety infrastructure across assigned colocation sites. Protect the availability of high-density AI compute by identifying technical risks before they become incidents, challenging infrastructure operating practices and verifying that power and cooling systems perform within agreed requirements. Operating context & accountability Working with Engineering Operations leadership, IT Operations, hardware partners and colocation providers, you will provide hands-on technical assurance across a site or cluster. You will assess provider performance, advise on critical decisions, support incident response and ensure operational learning drives durable improvements. The role focuses on technical oversight and influence rather than direct management of the colocation provider’s maintenance workforce. Technical assurance and operational risk - Own and maintain the site technical risk register, including electrical and mechanical single points of failure, maintenance exposure, redundancy limitations, cooling capacity, liquid-cooling interfaces and common-mode failure scenarios. - Assess the resilience of utility connections, MV/LV distribution, transformers, generators, UPS, switchgear, busways, protection systems, pumps, cooling plant, controls and monitoring against the contracted operating envelope. - Review provider preventive maintenance strategies, schedules, critical asset condition and outstanding defects; identify maintenance deferrals and vulnerabilities that may affect AI compute availability. - Critically review high-risk methods of procedure, electrical switching and isolation plans, planned impairments, work sequencing, contingency measures, rollback plans and restoration criteria. - Validate the completeness and quality of technical documentation, including single-line diagrams, P&IDs, operating sequences, alarm matrices, capacity records, asset registers and operating procedures. - Use BMS/EPMS trends, alarms, power-quality records and cooling telemetry to identify abnormal operating conditions, capacity constraints and deteriorating resilience before service is affected. Incident response, investigations and reliability - Act as a senior engineering escalation point during major infrastructure incidents; rapidly assess failure domain, remaining redundancy, safety implications, likely IT impact and viable restoration options. - Coordinate technical information across the colocation provider, Mistral IT Operations and OEM partners, ensuring accurate incident timelines, risk communication and controlled return to service. - Review and challenge root-cause analyses, distinguishing immediate triggers from underlying design, maintenance, controls, process and organizational contributors. - Define and follow up corrective and preventive actions, requesting evidence of implementation and verifying that recurring failure modes have been addressed. - Identify systemic trends across sites and share lessons learned with engineering design, commissioning and regional operations teams. - Support emergency response planning and tabletop exercises covering loss of utility, cooling failures, liquid leaks, fire/life-safety events and critical equipment failures. Capacity delivery, commissioning and change control - Participate in design and constructability reviews for expansions, retrofits and new AI deployments; flag operational, maintainability and resilience concerns early. - Review commissioning and integrated systems testing plans, including power transfers, redundancy scenarios, controls failure modes, cooling recovery and operational readiness criteria. - Challenge test results and acceptance evidence against defined electrical, thermal and operational requirements; track unresolved technical issues through handover. - Partner with IT Operations on rack power and thermal limits, direct-to-chip liquid cooling, coolant distribution unit boundaries, leak response and load-restoration dependencies. - Assess proposed changes to critical infrastructure, including concurrent maintenance, controls updates and brownfield works; recommend safeguards and escalation where exposure is unacceptable. - Provide technical coaching to internal stakeholders, contribute to engineering standards and support recruitment and knowledge sharing as the portfolio expands. Success measures - Critical technical risks are identified early, prioritized and reduced through verified mitigation actions, supporting Mistral’s availability objectives. - High-risk maintenance and infrastructure changes receive timely, evidence-based technical review with clear mitigations and escalation. - Major incidents are diagnosed accurately, communicated effectively and followed by robust root-cause analysis and verified corrective actions. - New and expanded capacity meets agreed redundancy, electrical, cooling and operational acceptance requirements. - Repeat failures, unresolved high-severity defects and preventable technical deviations decrease over time. Minimum qualifications - 5–7+ years in critical facilities engineering, commissioning, data center operations or technical assurance in high-availability environments. - Strong practical knowledge of critical electrical infrastructure (UPS, generators, MV/LV distribution, switchgear and protection) and mechanical systems (cooling plant, pumps, controls and heat rejection). - Ability to review single-line diagrams, operating sequences, technical procedures, maintenance plans, commissioning evidence and root-cause analyses. - Demonstrated experience troubleshooting complex infrastructure incidents and influencing external technical teams without direct line authority. - Clear written and verbal English communication, sound judgment under pressure and willingness to travel and participate in incident escalation as needed. Preferred experience - Full technical governance, multi-site operations or mission-critical facilities serving high-density AI/HPC workloads. - Experience with direct-to-chip liquid cooling, CDUs, facility/technology cooling interfaces, water quality, leak detection and rack-level thermal management. - Integrated systems testing, EPMS/BMS trend analysis, protection coordination, failure-mode reviews and cross-site engineering standardization. - Experience partnering with hardware OEMs, design engineers, commissioning teams and infrastructure providers during live-site expansion. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

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 Harvey is transforming how legal and professional services work gets done. As AI moves from answering questions to carrying out complex workflows, the engineering challenge expands: every interaction depends on systems that can handle sensitive data, stream results, coordinate work, and stay fast and reliable under growing demand. Backend Platform builds the shared foundations that make this possible. We’re looking for an Engineering Manager to lead the team shaping how backend software is built at Harvey. Your team owns the frameworks, libraries, and core abstractions that product engineers use every day—from database access and caching to request handling, observability, and safe context propagation. A better abstraction here can accelerate every product team. A stronger default can prevent an entire class of production failures. The impact of your decisions compounds across the engineering organization. The next chapter is especially compelling. As both engineers and coding agents contribute more software, we need a platform that makes the right patterns easy to use and the wrong ones difficult to introduce. You’ll help define that foundation: clear architectural boundaries, reusable building blocks, and automated safeguards that let teams ship with confidence. You’ll tackle deep systems problems while building an engineering experience people love. This is a technical leadership role with room to shape both the platform and the team. You’ll hire and develop exceptional engineers, set the technical direction, and stay close to architecture and code. If you enjoy turning hard, recurring problems into simple tools that make everyone around you more effective, this is an opportunity to do it at the center of Harvey’s growth. WHAT YOU'LL DO - Lead and grow the Backend Platform team. Hire, coach, and retain exceptional engineers, giving them clear ownership, meaningful technical challenges, and room to grow. - Define the platform’s technical vision and roadmap. Partner with product engineering teams to understand their hardest problems, identify the investments with the broadest impact, and deliver improvements they can feel in their daily work. - Build the next generation of Harvey’s backend foundations. Guide the design of shared frameworks for database access, session management, caching, request handling, and streaming—with clear interfaces and strong defaults. - Help Harvey scale through better architecture. Work with Infrastructure to evolve how applications use databases, replicas, and new storage systems, making those capabilities accessible without requiring every product team to solve the same problems. - Scale the data layer. Build a data access layer so an entity can move to a new store (KV, NoSQL) without product changes. Make read replicas usable and move high-volume data off the primary. - Make failure boring. Load test until “what happens at 3x?” has a real answer. Add circuit breakers, a standard outbound client with timeouts, retries and idempotency, and noisy-neighbor isolation, so one workspace or one slow vendor can’t take down the platform. - Make security and reliability properties of the platform. Partner with Security and product teams on safe handling of customer data, workspace isolation, and safeguards that prevent recurring failure patterns before code reaches production. - Shape a codebase that humans and AI can build in confidently. Establish modular boundaries, enforceable contracts, and automated checks that make changes easier to reason about, review, and ship. - Turn platform improvements into customer impact. Reduce latency, improve observability, and make production issues easier to diagnose. Measure success through adoption, developer productivity, and the performance and reliability of the products built on your work. - Stay close to the engineering. Lead architecture discussions, review critical code, prototype when useful, and help engineers navigate difficult tradeoffs. Partner closely with Infrastructure, Developer Platform, Model Infrastructure, Security, and product engineering leaders to carry changes through to adoption. WHAT YOU HAVE - 6+ years of software engineering experience and 3+ years of engineering management experience, with a track record of building strong teams and delivering complex backend or platform systems. - Deep technical judgment in backend architecture and distributed systems, including database access patterns, concurrency, caching, API design, and performance. - Experience building shared libraries, frameworks, or internal platforms adopted by multiple engineering teams. You know how to balance a useful abstraction with the flexibility its users need. - The technical depth to engage directly in design and code reviews, investigate difficult systems problems, and guide migrations across a large, evolving codebase. Experience with Python and frameworks such as Flask or FastAPI is valuable. - A track record of hiring, coaching, and developing engineers, setting clear expectations, and creating a culture of ownership and thoughtful execution. - Strong product instincts for developer tools. You listen closely to engineers, understand where they lose time, and turn that feedback into simpler, more effective ways to build. - Experience embedding reliability, observability, and security into shared systems, with measurable improvements in production. - Clear communication and the ability to lead across team boundaries, align people on technical tradeoffs, and drive changes from design through rollout. - Serious, hands-on use of AI coding agents, and opinions on what makes a codebase safe for them to work in. COMPENSATION $272,000 - $355,000 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-AN2 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 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 Harvey is transforming how legal and professional services work gets done. As AI moves from answering questions to carrying out complex workflows, the engineering challenge expands: every interaction depends on systems that can handle sensitive data, stream results, coordinate work, and stay fast and reliable under growing demand. Backend Platform builds the shared foundations that make this possible. We’re looking for an Engineering Manager to lead the team shaping how backend software is built at Harvey. Your team owns the frameworks, libraries, and core abstractions that product engineers use every day—from database access and caching to request handling, observability, and safe context propagation. A better abstraction here can accelerate every product team. A stronger default can prevent an entire class of production failures. The impact of your decisions compounds across the engineering organization. The next chapter is especially compelling. As both engineers and coding agents contribute more software, we need a platform that makes the right patterns easy to use and the wrong ones difficult to introduce. You’ll help define that foundation: clear architectural boundaries, reusable building blocks, and automated safeguards that let teams ship with confidence. You’ll tackle deep systems problems while building an engineering experience people love. This is a technical leadership role with room to shape both the platform and the team. You’ll hire and develop exceptional engineers, set the technical direction, and stay close to architecture and code. If you enjoy turning hard, recurring problems into simple tools that make everyone around you more effective, this is an opportunity to do it at the center of Harvey’s growth. WHAT YOU'LL DO - Lead and grow the Backend Platform team. Hire, coach, and retain exceptional engineers, giving them clear ownership, meaningful technical challenges, and room to grow. - Define the platform’s technical vision and roadmap. Partner with product engineering teams to understand their hardest problems, identify the investments with the broadest impact, and deliver improvements they can feel in their daily work. - Build the next generation of Harvey’s backend foundations. Guide the design of shared frameworks for database access, session management, caching, request handling, and streaming—with clear interfaces and strong defaults. - Help Harvey scale through better architecture. Work with Infrastructure to evolve how applications use databases, replicas, and new storage systems, making those capabilities accessible without requiring every product team to solve the same problems. - Scale the data layer. Build a data access layer so an entity can move to a new store (KV, NoSQL) without product changes. Make read replicas usable and move high-volume data off the primary. - Make failure boring. Load test until “what happens at 3x?” has a real answer. Add circuit breakers, a standard outbound client with timeouts, retries and idempotency, and noisy-neighbor isolation, so one workspace or one slow vendor can’t take down the platform. - Make security and reliability properties of the platform. Partner with Security and product teams on safe handling of customer data, workspace isolation, and safeguards that prevent recurring failure patterns before code reaches production. - Shape a codebase that humans and AI can build in confidently. Establish modular boundaries, enforceable contracts, and automated checks that make changes easier to reason about, review, and ship. - Turn platform improvements into customer impact. Reduce latency, improve observability, and make production issues easier to diagnose. Measure success through adoption, developer productivity, and the performance and reliability of the products built on your work. - Stay close to the engineering. Lead architecture discussions, review critical code, prototype when useful, and help engineers navigate difficult tradeoffs. Partner closely with Infrastructure, Developer Platform, Model Infrastructure, Security, and product engineering leaders to carry changes through to adoption. WHAT YOU HAVE - 6+ years of software engineering experience and 3+ years of engineering management experience, with a track record of building strong teams and delivering complex backend or platform systems. - Deep technical judgment in backend architecture and distributed systems, including database access patterns, concurrency, caching, API design, and performance. - Experience building shared libraries, frameworks, or internal platforms adopted by multiple engineering teams. You know how to balance a useful abstraction with the flexibility its users need. - The technical depth to engage directly in design and code reviews, investigate difficult systems problems, and guide migrations across a large, evolving codebase. Experience with Python and frameworks such as Flask or FastAPI is valuable. - A track record of hiring, coaching, and developing engineers, setting clear expectations, and creating a culture of ownership and thoughtful execution. - Strong product instincts for developer tools. You listen closely to engineers, understand where they lose time, and turn that feedback into simpler, more effective ways to build. - Experience embedding reliability, observability, and security into shared systems, with measurable improvements in production. - Clear communication and the ability to lead across team boundaries, align people on technical tradeoffs, and drive changes from design through rollout. - Serious, hands-on use of AI coding agents, and opinions on what makes a codebase safe for them to work in. COMPENSATION $272,000 - $355,000 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-AN2 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: Monterrey, Mexico; Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a Senior AI Lead who will act as the primary AI consultant within the organization and help shape the vision, roadmap, and execution of AI initiatives. You will work across stakeholders and delivery teams to guide responsible AI adoption and establish a sustainable AI practice. The AI Practice is focused on building a sustainable AI capability within an enterprise environment and connecting AI initiatives to measurable business impact. It covers strategy, roadmap planning, solution delivery, governance, and adoption enablement across business units. Serve as the primary AI consultant within the organization to identify opportunities for AI driven innovation Develop and drive the AI strategy aligned with business goals Lead the assessment prioritization and roadmap planning of AI initiatives across business units Collaborate with product owners data scientists engineers and business stakeholders to scope design and deliver AI solutions Provide guidance on AI technologies frameworks and architectures including LLMs RAG AI agents prompt engineering and MLOps pipelines Ensure AI projects align with business objectives maintain technical quality and follow ethical AI principles Mentor AI team members to build internal capabilities and support knowledge sharing Track AI trends tools and emerging technologies to support continuous improvement and innovation Manage stakeholder expectations and communicate roadmap progress benefits risks and delivery outcomes Champion AI adoption through workshops demos and enablement sessions Define and track KPIs adoption metrics and ROI frameworks for AI initiatives Establish AI governance frameworks usage policies and guardrails for responsible AI adoption Guide the evolution toward an Agentic SDLC model across software development workflows Drive change management activities to support AI augmented and agent orchestrated ways of working 7+ years of experience in AI consulting solution architecture or related roles with leadership responsibilities Experience with AI and ML technologies including LLMs NLP computer vision conversational AI RAG architectures and MLOps Experience driving AI initiatives from ideation through design and implementation in enterprise environments Experience working with clients and executive leadership to translate business needs into AI solutions Hands on collaboration experience with development teams and data scientists across the AI and ML toolchain including Python PyTorch TensorFlow Jupyter Git and CI/CD pipelines Understanding of AI ethics data privacy and responsible AI principles Experience designing and delivering AI training enablement programs or internal advocacy initiatives that drive measurable adoption Familiarity with AI governance frameworks and organizational policy development for responsible AI use Understanding of Agentic SDLC methodologies and AI native delivery practices Advanced degree in Computer Science AI Data Science or a related field or equivalent professional experience Experience with cloud AI platforms such as AWS SageMaker Bedrock and Amazon Q Developer Experience with cloud AI platforms such as Azure OpenAI Service Azure AI Studio and Cognitive Services Experience with cloud AI platforms such as Google Cloud Vertex AI Gemini API and Document AI Experience with AI lifecycle management and MLOps platforms such as MLflow Kubeflow Weights & Biases and SageMaker Pipelines Experience with AI orchestration and agent frameworks such as LangChain LangGraph CrewAI AutoGen Semantic Kernel and Haystack Familiarity with vector databases and retrieval infrastructure such as Pinecone Weaviate Chroma Qdrant pgvector and Elasticsearch with kNN

Location: Houston, United States We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we have supported our clients across the world with unrivalled expertise, equipment, and technology throughout the entire asset lifecycle – both offshore and onshore. Operating through our global business lines of Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions, we provide a broad range of specialist services including cranes, lifting, fluid power, training, equipment rental, pipeline, process, subsea, and valve services. At EnerMech, we are driven by operational excellence, innovation, and technical expertise, delivering value through integrated solutions that reduce risk, improve efficiency, and enhance performance for our customers worldwide. The opportunity: This is an exciting opportunity to lead the Finance function across the Americas and play a key role in shaping the region's financial performance and future growth. As a trusted partner to senior leadership, you will provide strategic financial insight, drive strong governance and compliance, and ensure the delivery of accurate and timely reporting. You will lead and develop a high-performing finance team, champion process improvement and automation initiatives, and help create scalable, efficient ways of working. This role offers the chance to influence business decisions, strengthen financial controls, and make a lasting impact across the organization. Key Responsibilities: Own the monthly, quarterly and year-end close for the geography, aligned with the Group timetable; coordinate business, Project Accounting and SSC teams (AP, O2C and R2R) to deliver complete and accurate results. Review monthly financial performance, including revenue, margin, operating costs, balance sheet and cash flow; investigate material variances and provide clear commentary and actions to management. Support the annual budget, strategic planning and periodic forecasting processes, challenging assumptions and ensuring alignment between operational plans and financial outcomes. Review and approve balance sheet reconciliations and journals in line with delegated authority; ensure aged, unsupported or unreconciled items are resolved promptly. Establish and maintain the reconciliation framework with Group Finance, including account risk assessment, ownership, frequency, methodology and escalation requirements. Monitor accounting classifications, cost coding, accruals, provisions, revenue recognition and other key accounting judgements to ensure compliance with Group policy and applicable standards. Lead preparation and coordination of statutory financial statements, external audits and regulatory filings for the geography, working with Group Finance and external advisers as required. Coordinate tax compliance and tax accounting requirements, including forecasting tax liabilities and supporting corporate, indirect, payroll and other local tax matters with specialist advisers and Group Tax. Manage the finance control environment, including control testing, remediation, policy compliance and delivery of training where required. Act as an escalation and approval point for core finance activities, including FX revaluation, non-PO invoices, credit notes, vendor reconciliations, account clearing and payments, in accordance with authority levels and segregation-of-duties requirements. Partner with Treasury and the business on cash management, customer collections, vendor payment planning, liquidity forecasting and working-capital improvement. Support CAPEX governance, including financial evaluation, approval support, tracking of spend and post-investment review, where appropriate. Identify, assess and escalate financial risks, including currency, credit, liquidity, political, operational and compliance risks, and coordinate appropriate mitigation actions. Provide technical accounting guidance and support the assessment and implementation of new or revised accounting policies and standards, escalating complex matters to Group Finance where appropriate. Maintain complete, audit-ready documentation for statutory audits, government inspections, regulatory submissions and other legal or compliance requirements. Agree service governance, performance expectations and ways of working with the SSC; review service quality, resolve escalations and drive measurable process improvements. Support ERP, reporting and finance-transformation initiatives, including requirements definition, testing, implementation, control design and adoption. Build effective relationships with operational leaders and central functions, providing timely financial advice and ensuring finance issues are resolved at the appropriate level. Requirements Professional accounting qualification (e.g. CA, ACA, ACCA, CIMA, CPA or equivalent). Substantial post-qualification experience in financial control, reporting or a comparable senior finance role, ideally within a multi-entity or international organisation. Demonstrated ownership of month-end close, balance sheet control, statutory reporting, audit and internal controls. Experience leading and developing a finance team and working effectively with shared-service or outsourced finance teams. Working knowledge of budgeting, forecasting, cash flow, working capital, tax coordination and financial risk management. Strong ERP and financial reporting systems experience; experience supporting systems or finance-transformation initiatives is desirable. Advanced Microsoft Excel capability; Power BI or comparable data-visualisation/reporting experience is desirable. Benefits At EnerMech, you'll join a global organisation where innovation, collaboration and technical excellence drive everything we do. You'll have the opportunity to influence business strategy, develop long-term customer partnerships and contribute to some of the world's most challenging energy and industrial projects. We offer a collaborative and entrepreneurial environment where commercial leadership is valued, professional development is encouraged and your contribution will directly support the continued growth and success of our business. Diversity & Inclusion EnerMech is committed to creating a diverse and inclusive workplace where everyone feels valued, respected, and empowered to succeed. We welcome applications from candidates of all backgrounds and experiences.

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Our mission Shape the engineering foundations of Mistral AI’s next generation of compute capacity while improving the resilience of the infrastructure already in service. This role combines technical design leadership with field reliability engineering: you will establish demanding, practical requirements for colocation power and cooling, scrutinize proposed solutions and turn operating experience into better designs, safer changes and more reliable AI capacity. Operating context & accountability Mistral deploys high-density AI infrastructure in colocation facilities, where partners operate the underlying critical plant. You will be Mistral’s technical counterpart to providers, designers, commissioning specialists and internal IT and capacity teams. The position combines forward-looking design authority with hands-on technical investigation and portfolio reliability improvement. It requires depth in one core engineering discipline and the judgment to lead multidisciplinary decisions with specialist support. Key responsibilities — design and technical standards - Own and continuously improve Mistral’s technical design criteria and colocation requirements for new facilities, expansions and retrofits, including availability objectives, failure domains, maintainability and operational flexibility. - Translate GPU platform roadmaps into measurable facility envelopes: IT load and transients, rack density, electrical topology, redundancy, cooling capacity, supply/return temperatures, flow, pressure, water quality and monitoring. - Review utility and MV/LV arrangements, transformers, generators, UPS, switchgear, busway, protection coordination, earthing, power quality and metering for suitability under demanding AI loads. - Review mechanical and controls architecture, including chilled-water and heat-rejection systems, pumps, control sequences, CDU integration, leak detection, filtration, water treatment and cooling recovery scenarios. - Lead multidisciplinary reviews of single-line diagrams, P&IDs, sequences of operation, design calculations, capacity models, failure-mode studies and proposed deviations; document risks and decisions. - Participate in site selection, technical due diligence, provider RFPs, design milestones and commercial technical schedules, challenging assumptions before they become delivery constraints. - Define design review and exception processes that balance performance, resilience, deployment speed, efficiency, capital cost and long-term operability. Key responsibilities — commissioning and delivery assurance - Partner with delivery and commissioning teams to define functional and integrated testing requirements, acceptance criteria, evidence packages and outstanding-defect management. - Validate that electrical and cooling infrastructure can support the contracted AI load envelope under normal, maintenance and credible fault conditions. - Review test scripts and results for loss of utility, UPS/generator transitions, cooling component failures, controls faults, CDU interface events and staged restoration where applicable. - Ensure operational handover includes accurate drawings, asset and interface registers, monitoring points, setpoints, maintenance constraints, emergency procedures and unresolved risk ownership. - Support live-site changes and capacity upgrades with a disciplined review of impact, sequencing, rollback plans and operational readiness. Key responsibilities — field reliability and root-cause analysis - Act as a technical escalation point for recurring or high-impact electrical, mechanical and controls incidents across operational colocation sites. - Analyze alarms, BMS/EPMS trends, event sequences, power-quality records, cooling telemetry, commissioning findings and maintenance evidence to distinguish symptoms from systemic causes. - Lead or challenge technical root-cause investigations with colocation partners, including common-mode failures, protection miscoordination, thermal instability, control logic, hydraulic performance and hidden capacity limitations. - Develop risk-ranked corrective actions and reliability improvement programs; validate effectiveness through evidence and post-change monitoring. - Identify fleet-wide patterns and feed lessons learned into reference designs, acceptance tests, technical specifications and provider governance. - Review maintenance and change proposals that create material exposure to compute availability, providing clear technical recommendations and escalation where required. Key responsibilities — collaboration and leadership - Work with IT hardware, network and platform teams to understand the operational consequences of rack-level and cluster-level failure domains. - Influence colocation providers, consultants and OEM partners through technically rigorous, fact-based reviews without relying on direct operational authority. - Present design trade-offs, reliability risks and investment recommendations in language accessible to engineering leadership and business stakeholders. - Develop reusable standards, technical playbooks and engineering knowledge sharing to support consistent decisions across a rapidly expanding portfolio. What success looks like - New capacity is accepted against well-defined electrical, thermal and resilience criteria with transparent technical exceptions. - Design risks are identified early, reducing late changes, stranded capacity and avoidable operational constraints. - Repeat incidents and unresolved critical engineering defects decrease as corrective actions are verified. - Field experience produces measurable improvements to future designs and live-site operating resilience. Minimum qualifications - At least 8 years in mission-critical data center design, engineering, commissioning or technical reliability, including responsibility for complex technical decisions. - Degree in electrical or mechanical engineering, or equivalent professional experience, with deep knowledge in one discipline and strong working knowledge of the other. - Demonstrated expertise in critical power and cooling architecture, redundancy, failure-mode analysis and operational risk management. - Experience reviewing engineering drawings, calculations, commissioning evidence and root-cause analyses, and coordinating technical specialists. - Ability to influence colocation providers and cross-functional stakeholders; excellent English communication and willingness to travel. Preferred qualifications - Experience with AI/HPC infrastructure, high-density accelerator platforms and direct-to-chip liquid cooling. - Knowledge of CDUs, facility-to-technology cooling interfaces, hydraulic performance, cooling-water quality and leak management. - Experience with electrical protection/selectivity, power quality, controls sequences, integrated systems testing and BMS/EPMS analytics. - Experience creating technical standards across multiple sites or providers, including design deviations and fleet-wide reliability improvements. - Professional engineering registration or equivalent technical credentials. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

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 Anthropic is seeking a Financial Data and Controls Lead to join our Billing Platform team. Billing Platform builds the systems customers use to transact with Anthropic: subscriptions, usage billing, quote to cash, invoicing, and payments. You'll be the dedicated owner of billing accuracy, reconciliation, and financial controls across those systems, making sure the right checks run, the right controls are in place, and the audit evidence exists. Our billing systems and pricing change often, and each flow needs to meet SOX requirements. Accurate billing is what lets us launch products and pricing quickly and still close the books on time. The hard problems today include validating negotiated pricing from contract to invoice, handling the many forms of credits, app store billing, and keeping controls current while the systems under them are replaced. This is a foundational role and the first hire of its kind on the team. You'll lead a working group of the reconciliation and controls owners from each billing engineering team, and you'll set the approach they follow. You'll work closely with Finance Systems, Accounting, Internal Audit, and Data Engineering. The role sits in Engineering and works with Finance every day. Our Data organization builds the pipelines and owns the warehouse, and you'll use that data and partner with that team. We're looking for an engineer or data practitioner with strong accounting domain knowledge, who can talk to engineers about systems and to Finance and auditors about risk and materiality. Key responsibilities Own reconciliation and accuracy checks for critical billing data (quantity, price, discounts, and invoices) across our product platform, third-party billing and payment providers, app stores, cloud marketplaces, and in-house systems Design and run detective controls that catch billing errors before they reach the accounting books Partner with billing engineering teams to turn repeat checks into automated verifiers Review billing changes that have financial impact, flag the ones that touch SOX or IT application controls (ITACs), and make sure functional test evidence is in place Make SOX review a standard, lightweight step in how billing changes ship, treated like a security review, so launches are not delayed by it Own the end-to-end test strategy and audit evidence for those changes, working with Finance Systems, Data Engineering, Accounting, and Internal Audit Triage billing errors, prioritize backfills and fixes with the owning teams, and track materiality over time Define and maintain the data contracts between billing and finance systems, so downstream teams can find and trust the data they need Lead the working group of reconciliation and controls owners across billing engineering teams, through influence and not reporting lines Act as the Billing owner, alongside Accounting and Finance Systems, for translating the product and pricing roadmap into financial impact, test strategy, and process updates Minimum qualifications Experience building or owning a financial ledger, billing reconciliation, or cash reconciliation system end to end, one that Accounting relied on to close the books Hands-on SQL skills strong enough to take two messy datasets (for example usage events and invoices), match them, find the breaks, and explain the root cause Accounting domain knowledge (order to cash, month-end close, and materiality) sufficient to tell which billing changes have financial impact Experience working with SOX and Internal Audit teams on IT application controls, detective controls, transaction monitoring, functional test evidence, and auditor walkthroughs Experience defining data contracts between billing or product systems and finance systems such as the ERP, general ledger, or revenue recognition Track record of driving work across Engineering, Finance, Accounting, and Audit without direct authority Ability to explain technical issues to Finance and auditors in their terms, and financial risk to engineers in theirs Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems Preferred qualifications Background as a backend, data, or analytics engineer who built a financial ledger or cash reconciliation system from scratch Experience running these systems under public company reporting requirements, and scaling them as the company grew Experience with usage-based or consumption billing Experience with multi-party billing, such as marketplaces, or app stores Experience turning manual checks into automated verifiers with engineering teams Experience remediating a control deficiency, or standing up a controls program while the underlying systems were changing A track record of using Claude or other AI tools to automate reconciliation, testing, or evidence collection, with checks that hold up to review Experience with billing and finance tools such as Stripe, Metronome, Zuora, NetSuite, or Workday Financials Python for data analysis or automation 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: $345,000 — $425,000 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 | New York City, NY | Seattle, WA 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 Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is a large distributed system: training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts. As an engineer in RL Engineering, you'll work on keeping that system secure as it scales. This is a hands-on engineering role. You'll work in the RL codebase and the infrastructure underneath it, alongside the engineers and researchers who build and use it. The system is large and changes as fast as the research does, so security work here has to keep up with that pace without costing performance or velocity. We're hiring from two backgrounds: security engineers who want to work on large-scale ML systems, and ML systems or research engineers who want to work on security. Strong candidates have depth in one and real interest in the other. Key responsibilities Design, build, and operate security controls for RL training systems and the infrastructure they run on Work across the stack (orchestration, environments, training, inference) wherever the work is needed Review designs and code across the RL stack, find security problems, and fix them Build shared libraries and tooling that other RL engineers and researchers build on Build the observability needed to understand what these systems are doing Work with researchers and performance engineers to make sure security changes preserve training correctness and performance Write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems or security systems in production Strong understanding of security fundamentals Working knowledge of Linux, containers, and cloud infrastructure Experience debugging complex problems across many hosts and services Ability to reason about tradeoffs between security, performance, and reliability Strong written communication, including design documents Preferred qualifications Experience running ML training or inference infrastructure at scale Experience with infrastructure security, such as isolation, access control, networking, or identity Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience building observability for large fleets Experience supporting research teams or other fast-moving internal users Familiarity with reinforcement learning or large language model training workloads The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 | 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 As a Sales Development Manager for Enterprise at Anthropic, you will lead the team that opens our most strategic customer relationships. You'll build and manage a team of 6-10 Business Development Representatives (BDRs) who generate high-value pipeline inside complex enterprise organizations through account-based prospecting, multi-threaded outreach, and rigorous qualification. Enterprise buying is long and involves many stakeholders. The work here is less about volume and more about depth: knowing an account well enough to reach the right people with the right message, and staying with it long enough to turn early conversations into real opportunities. You'll bring a strong understanding of enterprise sales cycles and organizational dynamics, and you'll coach your team to develop strategic accounts over time. You'll partner closely with Enterprise Account Executives and with leaders across Sales, Revenue Operations, Strategy, and Marketing. You'll also develop the next generation of Anthropic's enterprise sellers, helping BDRs grow into Account Executive roles while they help the world's largest organizations adopt safe, frontier AI. Key responsibilities Build, lead, and scale a team of BDRs focused on the Enterprise segment Drive strategic pipeline generation through account-based prospecting and targeted outbound campaigns to Global 2000 accounts Coach your team on partnering with Enterprise Account Executives to develop account plans, coordinate multi-threaded outreach, and ensure high-quality opportunity handoffs Establish and track KPIs focused on opportunity quality, deal size, and strategic account penetration Coach and model for your team on enterprise prospecting, stakeholder mapping, and complex qualification Build a deep understanding of enterprise buying processes, and coach the team on navigating procurement, legal, and security requirements Own pipeline reviews with sales leadership covering enterprise pipeline health, account penetration, and competitive positioning Build strong relationships with cross-functional leaders and partners across Sales, Revenue Operations, Strategy, and Marketing Coach and mentor BDRs on strategic prospecting, executive engagement, and career development toward Account Executive roles Minimum qualifications Experience managing BDR, SDR, or new business Account Executive teams in an enterprise-focused sales organization A track record of building teams that prospect successfully into complex enterprise organizations Experience with account-based selling strategies, including account planning, stakeholder mapping, and multi-threaded outreach Hands-on proficiency with a CRM and sales engagement tooling (e.g., Salesforce, LinkedIn Sales Navigator, or similar), and the analytical skills to design prospecting systems and measure pipeline quality Demonstrated ability to coach representatives on navigating complex organizational structures and multi-stakeholder deals Clear written and verbal communication, including the ability to engage executive-level stakeholders An understanding of Anthropic’s products, ecosystem, and hands on building experience with LLMs Excitement about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Personal closing experience as an Account Executive, Account Manager, ideally in a management role Experience managing teams that prospect into Fortune 500 or Global 2000 accounts A track record of developing BDRs who move successfully into enterprise Account Executive roles Experience building enterprise prospecting playbooks where none existed Hands-on experience with Claude, Claude Code, or other AI prospecting tools, and with sales tools such as Apollo and HubSpot Experience in API-first, consumption-based, or platform business models Background in AI or machine learning, cloud infrastructure, or developer platforms Familiarity with enterprise procurement, security review, and legal processes 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: $285,000 — $350,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - US About the Job: LaunchDarkly is looking for a Director, People Programs, Systems & Analytics to establish operational objectives, roadmaps, work plans, and operating rhythms for People programs, systems, analytics, and AI, translating the People Operations strategy and LaunchDarkly’s priorities into executable plans. Your team will develop technical and AI-assisted capabilities while  turning workforce data into analytics and insights that allow the business to make informed decisions. This role reports to the Senior Director, People Operations. In this role you will lead a small team and establish the framework for responsible AI use regarding People data. You will partner with Legal, Security, and IT, and recommend solutions that improve reporting, employee support, and efficiency. Responsibilities: Design the vision, strategy, roadmap, governance, and operating rhythms for all People programs, systems, analytics and AI, in alignment with LaunchDarkly’s business and People priorities. Manage the orchestration and successful completion of organization wide deliverables including OKRs, annual deliverables, and key projects, acting as a visible leader and facilitator within the People organization. Lead, coach, and develop a small, high-performing team, creating clarity, strong partnerships, and a culture of thoughtful execution and continuous improvement. In partnership with the Director, People Operations, ensure that programs and operating processes across the employee lifecycle, including onboarding, offboarding, employee data, documentation, compliance-related workflows, employee support, and international operations can be optimally managed through our HR tech stack with measurable, decision-informing analytics Design and evolve the People technology ecosystem, ensuring systems are integrated, scalable, secure, fit for purpose, and aligned to the employee and business experience. Establish standards for People data quality, definitions, governance, access, documentation, and stewardship, and build trusted reporting and self-service insights for People partners and business teams. Design an analytics strategy that translates workforce data into executive-ready narratives and practical recommendations across headcount, attrition, hiring, organizational health, employee experience, and workforce planning. Define a responsible AI strategy for the People function, including use-case prioritization, governance, human oversight, and adoption of solutions that improve reporting, decision-making, employee support, and operational efficiency. Partner with the Senior Director, People Operations, functional partners, and subject-matter experts to translate capability gaps into scalable learning experiences, then measure participation, effectiveness, behavior change, business impact, and equity of access. Lead change management for new systems, programs, policies, and processes, including communications, training, stakeholder readiness, adoption, and post-launch improvement. Manage vendors, dependencies, and tradeoffs, bringing structure to ambiguity and maintaining a clear view of value, risk, and long-term scalability. Qualifications: 15+ years of experience in People Operations, including 5 years leadership across People Programs, People Systems, People Analytics, or a similarly complex function. Experience should include the selection and optimization of HRIS and Talent systems at small and medium- to large-sized companies. A track record of organization-wide project and program management, designing operating models, building roadmaps, and delivering cross-functional programs at scale. Implementation and development of comprehensive data analytics, reporting, and dashboarding tools for Human Resources and Talent organizations with knowledge and experience in AI-enablement for those functions. Experience managing and developing a team and building strong cross-functional partnerships. Experience designing, managing, or improving integrations across HR systems and connected People tools to support reliable data flows and scalable operations. Strong understanding of how People systems, processes, data, and employee programs fit together. Experience improving HR technology, data quality, reporting, analytics, automation, or self-service decision support. Practical experience evaluating or advancing AI use cases, with sound judgment around sensitive employee data, privacy, governance, accuracy, and human oversight. Excellent written communication, prioritization, program management, and change leadership skills. About You: You are a strategic, systems-oriented People leader who connects technology, data, programs, and human experience. You can set organization-wide direction at the program level while engaging deeply enough to understand implementation details and remove barriers. You are ambitious about innovation, pragmatic about execution, and thoughtful about risk and employee trust. You are curious about People analytics and AI and disciplined about where they should and should not be applied. You are collaborative, grounded, proactive, and committed to building scalable, equitable experiences for employees and managers. What Success Looks Like: The People team has a clear, prioritized roadmap across programs, systems, analytics and AI. The People team has stronger governance, clearer processes, more reliable data, and fewer manual or fragmented workflows. People partners and business teams have trusted, actionable insights for workforce planning and People decisions, with responsible AI use cases improving efficiency and decision support. The team is engaged, growing, and recognized as a strategic partner that delivers meaningful outcomes across the company. Pay: Target pay ranges based on Geographic Zones* for Level M4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,800 - 263,670 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,600 - $237,270 ** Zone 3: All other US locations - $ 163,000 - $224,070 ** All Zones inclusive of 15% Bonus Target 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, Ireland About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Employer: Workato Hibernia Limited Location: 1 Grant's Row, Lower Mount Street, Dublin 2, Ireland Annual Salary: €50,000 Working Hours: 40 hours per week About the Role An excellent job for someone who is a natural salesperson wanting to learn more about tech sales - work with some of the top sales execs who previously worked at places like MongoDB, Microsoft, UiPath, Salesforce (MuleSoft) and Qualtrics. Workato is looking for talented and highly motivated, results-oriented individuals to join our expanding Enterprise sales team. In this role, you will be able to demonstrate a successful track record in remotely managing a large diverse territory of strategic accounts . You will be comfortable embracing a start-up environment where personal performance is critical and a do what it takes attitude, and entrepreneurial spirit, is celebrated . You will have the flexibility and determination to participate in any activity to ensure success as Workato’s Enterprise mission scales. Key Responsibilities Generate qualified meetings through outbound prospecting via phone, email, LinkedIn, and video outreach. Build and maintain a pipeline of opportunities within strategic enterprise accounts. Research target organizations and identify key decisionmakers and stakeholders. Partner with Account Executives to develop account strategies and execute targeted campaigns. Qualify opportunities using established sales methodologies, including MEDDPICC. Understand customer business priorities and effectively communicate the value of Workato's solutions. Achieve activity, pipeline, and opportunity generation targets. Qualifications 1+ years of SDR, BDR, or sales development experience, preferably within a SaaS environment. Proven track record of meeting or exceeding sales targets. Experience with sales qualification frameworks such as MEDDPICC, Sandler, or Force Management. Familiarity with account-based selling and enterprise prospecting. Experience using CRM and sales engagement tools such as Salesforce, Outreach, Sales Navigator, or similar platforms. Strong communication, research, and relationship-building skills. Excellent business acumen with the ability to connect business challenges to technology solutions. Self-motivated, adaptable, and comfortable in a fast-paced, high-growth environment. Collaborative team player with a customer-first mindset.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Overview Fanatics Betting & Gaming is seeking a Sr. Manager of VIP Acquisition Strategy & Growth to help run the day-to-day engine behind VIP acquisition. The VIP Acquisition team identifies high-value sportsbook and casino players and introduces them to the Fanatics experience. This role sits at the center of how that happens. You will own the lead pipeline and scoring that inform where the team focuses, set the weekly contact plan, run the testing agenda, and own the reporting the acquisition team and leadership rely on. You will work closely with analytics partners and with the acquisition executives who carry outreach, and will see directly how your work translates into results. Key Responsibilities Own the lead pipeline: ingestion, enrichment, and scoring that rank and tier prospects. Develop creative initiatives to identify new leads and bring in new customers. Expand the top of the funnel through new lead sources and partnerships. Set the weekly contact plan and routing across executive outreach and scaled channels. Build and run the acquisition testing agenda across offers, messaging, and cadence. Define how our approach differs for sportsbook versus casino prospects. Own acquisition reporting, consolidating it into a single dashboard and maintaining it with analytics partners. Set and track weekly and monthly acquisition targets and report on performance against plan. Partner with the acquisition executives as their go-to resource for strategic and data needs. Experience & Skills 5+ years in betting, gaming, or a comparable consumer business, ideally in acquisition, growth, CRM, or high-value customer operations. Strong analytical foundation, comfortable working directly in data, building dashboards, and defining metrics. Working fluency with SQL, a CRM such as Salesforce, and a BI environment. Track record of owning a recurring operating cadence: reporting, weekly planning, and target setting. Experience designing and reading tests, with the rigor to act on results. Familiarity with sportsbook and casino players, and what a high-value customer values in each product. Effective working with analytics resources and front-line sales teams outside your direct reporting line. Commitment to Responsible Gaming and to building programs that keep customer wellbeing ahead of commercial outcomes. Excellent communicator, able to turn data into clear recommendations for technical and executive audiences. Self-starter, highly organized, and comfortable with ambiguity. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $133,000 — $167,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: San Francisco 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 Harvey is redefining what’s possible in legal work by combining cutting-edge AI with intuitive product experiences. As we scale rapidly and take on increasingly complex use cases, we’re expanding our engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us. As an Engineering Manager for AI Platform, you will lead a team of engineers building the horizontal systems that make Harvey’s AI products higher quality, faster, and more cost-efficient. This includes eval and simulation infrastructure, model routing, open-source and post-trained model serving, new-model rollouts, and the document processing systems (OCR, embeddings, retrieval, and citations) that turn any file a lawyer gives us into something Harvey can read, find, and cite. You will partner with Product, Research, and product engineering teams to turn fast-moving advances in applied AI into durable, reusable platform capabilities. You will also set the technical direction for how teams across Harvey build, test, and ship AI features. This role is equal parts technical depth and product intuition. You’ll be trusted to make fast, high-quality decisions, work at the cutting edge of applied AI, and grow a team that embodies engineering excellence. We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed. If you’re energized by ownership, decisive execution, and solving real user problems, we’d love to hear from you. WHAT YOU'LL DO - Lead and grow a team of engineers building the core AI platform that powers Harvey’s products - Define the roadmap for shared AI infrastructure, including model routing, open-source and post-trained model serving, eval and simulation infrastructure, and large-scale document processing, embeddings, retrieval, search and citation systems - Partner with Product, Research, Agent Platform, and product engineering teams to understand their needs and turn recurring patterns into reusable, well-documented platform primitives - Build and scale offline eval and simulation infrastructure so teams can measure quality, catch regressions, and ship AI changes with confidence - Drive reliability, latency, cost efficiency, and security across LLM-powered systems, including working with commercial and open-source model providers on capacity, rate limits, and new capabilities - Evaluate and rapidly adopt new models, frameworks, and techniques, and decide what to build, buy, or adopt - Contribute to code and architecture reviews, unblock teams, and lead by example when needed - Hire, grow, and retain exceptional engineers who thrive in a high-trust, high-impact environment WHAT YOU HAVE - 2+ years of experience in a tech-lead/software engineering management role leading ML/AI engineering teams, preferably in high-growth environments - 5+ years of experience as a backend, infrastructure or ML/AI engineer - A track record of leading high-performing, engaged engineering teams - Experience building and operating production systems powered by LLMs (for example agents, retrieval, tool use, or evaluation pipelines) - Experience building internal platforms or shared services that other engineering teams depend on, and partnering with cross-functional stakeholders to prioritize them - Strong backend engineering skills in modern languages and framework and familiarity with distributed systems concepts - Sound judgment on tradeoffs among quality, latency, cost, and speed of delivery in AI systems - A plus: Experience with open-source model inference and serving, large-scale document processing, search, and retrieval systems, LLM observability and eval tooling, or working directly with foundation model providers COMPENSATION $272,000 - $355,000 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-AP1 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: Los Angeles, CA or Remote Workplace: onsite Role Description Spin.AI is looking for a highly analytical, hands-on Growth Marketing Lead to own the performance engine behind our inbound marketing strategy across Spin.AI’s portfolio: including Backup (Mission critical SaaS apps), Security (DLP and Browser), and Atlassian backup/ecosystem.  This person will connect organic, paid, social, web, retargeting, nurture, conversion, and performance measurement into a cohesive inbound growth engine. You'll partner closely with our Director of Marketing to take strong stories, campaigns, content, and creative and ensure they reach the right audiences, convert effectively, and contribute to a measurable pipeline. You'll serve as the internal owner of growth performance, connecting marketing programs, external agencies and freelancers, our fractional Marketing Operations support, data, and funnel performance. You'll have significant ownership and autonomy in this role.  We're hiring you for your expertise, and we trust you to use it. We want you to challenge assumptions, bring forward ideas, tell us when you think there's a better way, and make decisions within your area of ownership. You won't have someone standing over you telling you how to do your job; you'll have the space and support to figure out what will drive results and execute against it. What You'll Own: Inbound Growth & Demand Own performance across the inbound marketing funnel, from acquisition through qualified opportunity. Understand how prospects discover, engage with, convert through, and progress across marketing channels. Identify gaps, friction, and growth opportunities throughout the buyer journey. Partner with the Director of Marketing to connect organic visibility to measurable business outcomes. Develop a holistic view of inbound performance across all three brands. Paid Acquisition & Performance Marketing Own paid acquisition strategy across Google, LinkedIn, retargeting, paid social, and additional channels. Manage and optimize paid marketing budgets. Determine where investment should increase, decrease, or be tested based on performance. Develop audience, offer, channel, and campaign testing strategies. Evaluate performance based on qualified opportunities and pipeline—not simply impressions, clicks, or lead volume. Manage paid media agencies, freelancers, and specialized partners. Campaign Activation & Distribution Partner closely with the Director of Marketing to turn integrated campaign strategies into measurable growth programs. Develop distribution and amplification plans around major campaigns and content. Determine appropriate audiences, channels, offers, conversion points, and follow-up strategies. Ensure campaigns have clear paths from awareness and engagement to conversion. Find opportunities to extend the reach, performance, and business value of existing content and creativity. Conversion Rate Optimization Own CRO across landing pages, forms, CTAs, campaign experiences, and key website conversion paths. Partner with the Director of Marketing and creative resources on messaging and creative variations. Build and maintain an ongoing testing roadmap and turn successful experiments into repeatable best practices. Retargeting, Lifecycle & Lead Nurture Develop strategies for continuing to engage prospects after their initial interaction. Build retargeting audiences and programs across relevant channels. Develop lifecycle segmentation and nurture strategies. Partner with fractional Marketing Operations support on automation and technical implementation. Improve progression from initial engagement to qualified opportunity. AI-Native Marketing & Execution Be AI-native in how you work, using AI as an everyday part of research, analysis, execution, experimentation, and decision-making – not simply as a writing assistant. Use AI to analyze marketing and performance data, uncover trends and anomalies, synthesize insights, identify growth opportunities, and accelerate reporting. Use AI to accelerate campaign development and experimentation, including audience research, messaging variations, landing-page testing, creative ideation, and performance analysis. Build AI into repeatable workflows to automate manual work, connect information across tools, and increase the speed and quality of marketing execution. Be comfortable working with leading AI platforms and AI-enabled productivity tools such as ChatGPT, Claude, Claude Cowork, and similar tools, while continuously evaluating new technologies as the ecosystem evolves. Know how to work effectively with AI-generated analysis: asking the right questions, providing the right context and data, validating outputs, and applying human judgment before acting on recommendations. Proactively identify opportunities where AI can make our marketing organization faster, smarter, more analytical, and more scalable. Growth Experimentation Maintain a prioritized growth experimentation roadmap. Move quickly from hypothesis to execution Scale what works and stop what doesn't. Proactively bring new ideas, channels, technologies, and opportunities to the team rather than waiting for them to be assigned. Performance Analytics & Attribution Connect marketing activities to measurable business outcomes. Understand performance across visitor → lead → qualified lead → opportunity → pipeline. Establish KPIs for campaigns and acquisition programs. Monitor acquisition costs, funnel conversion, opportunity creation, pipeline contribution, and campaign ROI. Turn performance data into recommendations and actions, not simply dashboards. Help leadership understand what's working, what's not, why, and what Marketing should do next. Partnership With the Director of Marketing This is designed to be a close counterpart relationship between two distinct areas of marketing expertise. The Director of Marketing owns the market-facing strategy : overall marketing strategy, integrated campaigns, narrative, brand, content, messaging, creative direction, organic strategy, customer storytelling, thought leadership, and market POV. The Growth Marketing Lead owns the performance engine : acquisition, distribution, activation, conversion, retargeting, nurture, experimentation, optimization, and measurement. You'll be involved early in campaign planning, not handed finished assets and asked to promote them. Your audience, channel, conversion, and performance insights should influence how campaigns are built from the beginning. At the same time, the role maintains clear functional ownership. The Growth Marketing Lead does not replace ownership of overall marketing strategy, brand strategy, editorial strategy, company narrative, creative direction, or integrated marketing strategy. Both roles remain deeply connected to GTM, pipeline, revenue, and business outcomes. Together, they create the feedback loop between what the market needs to hear and what performance data tells us is resonating. Fractional Marketing Operations Partnership The Growth Marketing Lead will work closely with a fractional/retained Marketing Operations resource who can support the technical infrastructure required to run and measure the growth engine. This may include CRM and marketing automation infrastructure, campaign tracking and attribution, lead scoring and routing, lifecycle automation, integrations, database health, dashboards, and reporting infrastructure. You don't need to personally administer every system. You do need enough technical fluency to know what needs to be built, articulate the business requirements, recognize when something isn't working correctly, and use the resulting data to make informed decisions. You will effectively serve as the business owner of marketing performance , with specialized Marketing Operations support helping i What Success Looks Like: Success will be measured through outcomes including: Marketing-sourced pipeline Qualified opportunities generated Inbound conversion rates Cost per qualified lead and opportunity Lead-to-opportunity conversion Paid acquisition efficiency Landing-page and website conversion Funnel velocity Growth experiment performance Improved visibility and confidence in marketing performance across the portfolio Experience We're Looking For: 3–5+ years of B2B growth, demand generation, performance marketing, or related experience, ideally within cybersecurity, SaaS, or technology. Demonstrated experience owning multi-channel inbound acquisition programs. Hands-on understanding of Google Ads, LinkedIn Ads, retargeting, paid social, and performance marketing. Strong understanding of SEO and organic acquisition, with experience connecting organic traffic to conversion and pipeline. Experience with landing-page optimization, CRO, A/B testing, and structured experimentation. Experience building retargeting, nurture, and lifecycle programs. Strong understanding of B2B marketing funnels and progression from visitor through lead, opportunity, pipeline, and revenue. Experience working with CRM, marketing automation, attribution, analytics, and reporting systems. Demonstrated proficiency using AI in modern marketing workflows, including research, data analysis, reporting, campaign optimization, experimentation, automation, and productivity. You should be comfortable working across leading AI platforms and quickly learning new tools as they emerge. Strong analytical skills and the ability to translate data into clear recommendations and actions. Experience managing agencies, freelancers, vendors, and specialized external resources. Experience collaborating closely with senior marketing leadership, Content/Creative, Sales, Product, and external Marketing Operations resources. Comfortable balancing strategic thinking with hands-on execution. Cybersecurity experience is valuable, but strong B2B SaaS experience combined with the ability and desire to learn a technical market quickly can also be successful. How We Work: You have a startup mindset. You're a self-starter who doesn't need someone telling you what to do throughout the day. You can take a business objective, figure out what needs to happen, ask the right questions, and independently move the work forward. You're resourceful, curious, and a fast learner. We trust your expertise. There is real ownership in this role. We hire great people because we want their ideas, judgment, and experience – not because we want someone to simply execute instructions. If you think there's a better approach, we genuinely want to hear it. If the data is telling you we should change direction, say so. You'll be trusted to make decisions within your area, experiment thoughtfully, and do your job in the way you believe will produce the strongest results. You're collaborative and dynamic. You'll work closely with the Director of Marketing, broader marketing leadership, Sales, Product, external partners, and specialists across the organization. You know how to bring strong opinions and expertise to the table without creating territorial silos. You communicate well, welcome feedback, and value other people's expertise as much as your own. You move fast. We'd rather thoughtfully test a strong idea, learn from it, and iterate than spend months trying to make something theoretically perfect. You know how to prioritize, execute, measure, and move forward. If something doesn't work, understand why, learn from it, and try again. You take ownership. If something you're responsible for isn't working, you investigate it. If tracking looks wrong, you flag it. If an agency isn't delivering, you address it. If you see an opportunity, you bring it forward. "Nobody told me to" isn't how we operate. You're a team player. We care about the work we do and the people we do it with. You take pride in producing great work, celebrate team wins, help when someone needs it, and genuinely enjoy collaborating with smart people toward a shared goal. You're adaptable. Our products evolve. Technology advances. Messaging changes. Priorities change. AI is changing how people discover and consume information, and cybersecurity certainly doesn't stand still. You're comfortable operating in a fast-moving technical market and can learn quickly enough to keep pace. You're AI-native. AI is changing both the cybersecurity market we operate in and the way great marketing teams work. We expect you to use it. Whether you're analyzing campaign data, researching an audience, building a workflow, pressure-testing an idea, finding patterns, or eliminating repetitive work, your instinct should be to ask how AI can help you do the job better and faster. We're not looking for someone who occasionally opens an AI tool, we want someone who actively experiments with new capabilities and incorporates the best ones into how they work. You're comfortable with cybersecurity. You don't need to know every acronym on day one, but you should enjoy learning complex technology and understanding the problems our customers are trying to solve. You can become conversant enough in cybersecurity to make intelligent decisions about audiences, campaigns, messaging, and performance. You care about outcomes more than activity. Launching a campaign isn't the finish line. A beautiful dashboard isn't the outcome. More leads aren't necessarily better leads. You want to understand what actually moved the business and what we should do differently because of it. And we genuinely enjoy working together! Across Spin.AI, Revyz, and DoControl, we want people to be proud of what they build, without believing great work requires sacrificing everything outside of it. We respect work-life balance, trust people to manage their responsibilities, and value positive, healthy working relationships. We work hard, move quickly, and care deeply about results – but we also want people to enjoy the work they're doing and the life they're living while they do it. A positive attitude, mutual respect, and being someone others genuinely enjoy working with matter here. What We Offer: Unlimited PTO Hybrid Office Model Paid Holidays Premium health, dental, vision, and life insurance, 100% covered by the company 401(k) Employee Wellness Program Why Spin.AI: Inc. 5000 list for 2026! 🚀 Overall Ranking: #3,309 Industry Ranking: #107 Metro Ranking: #114 State Ranking: #463 Forbes Named Spin.AI One of America's Best Startup Employers THREE Years in a Row (2024- 2026) Work in a fast-moving, high-impact cybersecurity company recognized by Gartner, Forrester, and G2 . Collaborative, transparent culture – your ideas and experiments matter. Direct impact: your work translates into real business growth and visibility. Growth opportunities and performance-based rewards.

Location: Colombia; Argentina; Brazil On behalf of WorkforceTech Client #1 , SD Solutions is looking for a talented Professional Services Manager (combining Online and Offline aspects) to deliver exceptional customer onboarding and configuration support. You will meet clients on video calls to understand how their business operates and configure the system together with them in real time — acting as a trusted guide who keeps things clear, simple, and practical, even for non-technical users. At the same time, you will work behind the scenes on execution: receiving clear requirements and ensuring the system is configured accurately, completely, and ready to use before the customer logs in. Your goal is straightforward: When the interaction ends (whether live call or backend task), the customer’s account is fully usable for daily operations — nothing half-done. Your work prevents rework, confusion, and customer frustration. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Lead live onboarding and training sessions with customers via video calls (Zoom / Google Meet), understand their business workflows, and configure the system in real time Configure Connecteam based on provided requirements (both live and offline): time clocks & attendance rules, schedules & shifts, PTO & payroll policies, forms, checklists, permissions, groups & roles Build and set up schedules, rules, forms, templates, and policies Upload and manage employee data accurately (via Excel/CSV imports, data migrations from other systems) Assist customers with data transitions (e.g., importing schedules from Excel) Perform QA and thorough review of setups before go-live; identify blockers and missing inputs early Advise customers on best practices to ensure successful adoption Clearly document everything configured and any remaining action items Coordinate closely with Customer Success, Online/Offline teams, and other departments for smooth handoffs and follow-ups Ensure the customer’s account is fully ready for daily operations immediately after onboarding Requirements: 1+ year of experience in SaaS onboarding, implementation, professional services, technical support, or back-office configuration (required) Strong technical aptitude and exceptional attention to detail Native or near-native English level with excellent presentation and communication skills Confidence working directly with customers (often non-technical frontline managers) Ability to break down complex requirements into clear, actionable steps Highly organized, consistent, and reliable Fast learner, very tech-savvy, quick to master new tools and systems Comfortable working US hours (CST/EST time zone) – required for live calls Previous experience with SaaS configuration, operations, or back-office support – big plus Shared Tools & Stack: Connecteam platform (web + mobile, online/offline capabilities) Excel/CSV for data uploads Task & project management: Monday.com, Trello, etc. CRM: HubSpot (familiarity) Video conferencing: Zoom / Google Meet Documentation: Notion, Google Docs AI tools are encouraged and welcomed to boost efficiency About the company: A B2B SaaS platform that gives frontline businesses — restaurants, retail chains, cleaning companies, laundries — a single tool to manage their hourly workforce. Features span time clocks, shift scheduling, PTO policies, payroll exports, digital forms, checklists, and permission-based roles for both desktop and mobile use. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Vienna, Austria About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. About the Company Bybit X GmbH is the MiFID II investment firm entity of the Bybit EU Group, applying to the FMA for authorisation under WAG 2018. Bybit X will serve as the sole contractual counterparty for all derivative contracts concluded on the Bybit EU platform, providing investment services to EU clients. Operating alongside Bybit EU GmbH (CASP/MiCA) and Bybit Payments GmbH (EMI), Bybit X is part of a fully regulated Austrian financial services group committed to the highest standards of compliance and investor protection. Position Overview The Deputy MLRO (Deputy AMLO) at Bybit X GmbH supports the MLRO in fulfilling all anti-financial crime obligations applicable to an FMA-supervised investment firm. This is a named key function holder role subject to FMA fit & proper assessment under WAG 2018 and FM-GwG. The role sits at the intersection of two distinct compliance frameworks: AML / CTF under FM-GwG — the MLRO function, including STR reporting to the Austrian A-FIU MiFID II / WAG 2018 compliance function — investor protection, conduct, product governance, and organisational requirements The Deputy MLRO must be capable of supporting both dimensions, either in a combined role (if independence requirements under WAG 2018 Art. 29 / ESMA guidelines are met) or in close coordination with the WAG 2018 Compliance Officer. Key Responsibilities AML / CTF Compliance Support the MLRO in implementing and maintaining AML/CTF policies and procedures compliant with FM-GwG, the EU AMLD framework, and applicable FMA guidance Oversee CDD, EDD, and ongoing monitoring for investment firm clients, including appropriateness assessments intersecting with KYC data Act as deputy responsible person (verantwortliche Person) under FM-GwG § 9 — maintain regulatory standing and continuing education requirements per FMA expectations Manage STR/SAR submissions to the Austrian A-FIU (Geldwäschemeldestelle); maintain SAR register; ensure tipping-off prevention Handle law enforcement requests and sanctions-related obligations (EU Sanctions Regulation, FM-GwG screening requirements) Conduct and document risk assessments for investment firm products, clients, and distribution channels Product governance: product approval process, target market definition, distributor feedback Quality Assurance & Second Line of Defence Independently review KYC/KYB files and client onboarding and risk assessment processes from an investment firm perspective Conduct regular QA reviews of AML/CTF controls, transaction monitoring and SAR processes Develop and track KPIs/KRIs for AFC compliance activities Perform quarterly self-assessments per Bybit EU Group AML Minimum Control Standards Transaction Monitoring Oversee transaction monitoring for suspicious activity in investment firm activities (derivatives, spot, custody) Collaborate with operations and technology teams on monitoring system enhancements and rule testing Training & Awareness Develop and deliver AML/CTF compliance training Maintain personal continuing education Ensure all relevant staff are trained on AFC requirements Regulatory Liaison & Reporting Act as deputy contact point with the FMA for WAG 2018 licensing matters, improvement orders, and ongoing supervisory requests Assist with preparation and submission of regulatory reports (MLRO annual report, AML/CTF risk assessments, management body compliance reports) Support F&P documentation requirements for own position and other key function holders Policy, Governance & Vendor Management Co-own the AML/CFT Policy, Sanctions Policy, Compliance Policy, and related procedures applicable to Bybit X GmbH Support the group-wide AML Minimum Control Standards framework as applicable to the MiFID entity Participate in vendor and outsourcing oversight for AML/CTF-related third-party services Requirements Mandatory Bachelor's degree or higher in Law, Finance, Business Administration, Economics, or a related field Minimum 4–6 years of experience in AML/CTF, KYC compliance, or securities compliance within financial services, investment firms, or fintech Strong working knowledge of: FM-GwG (Austrian AML Act) and EU AMLD6; WAG 2018 and MiFID II organisational/conduct requirements; FMA supervisory practices Proven experience in a second-line-of-defence compliance or AML officer role Ability to pass FMA fit & proper assessment: reliability (Zuverlässigkeit), professional qualification (fachliche Eignung), and sufficient time commitment — per WAG 2018 § 5 and FM-GwG § 9 Fluency in English (working language); German is a strong advantage — FMA correspondence and licensing submissions are conducted in German Clean criminal record (required for FM-GwG § 9 responsible person appointment) Preferred AML/CTF professional certification: ACAMS, ICA Certificate/Diploma in AML, or equivalent Prior experience as a named Deputy AMLO, Deputy MLRO, or WAG 2018 compliance officer at an FMA-licensed entity Knowledge of MiFID II product governance, suitability, and investor protection frameworks Familiarity with Austrian FMA licensing processes (WAG 2018 applications, F&P submissions, improvement orders) Experience with derivatives, leveraged products, or crypto-asset services Understanding of MAR (Market Abuse Regulation) and its intersection with AML monitoring Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.