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Location: Limassol, Cyprus We are looking for a hands-on DevOps Lead to own our infrastructure architecture, reliability and security, while building an agentic Site Reliability Engineering (SRE) practice. You will lead two DevOps engineers and design secure, scalable cloud environments across markets and licences. A key part of your role will be defining how AI agents support production operations, from incident triage and investigation to controlled remediation, with clear permissions, approval workflows and human accountability. Key Responsibilities: Infrastructure Architecture & Reliability Own the design and evolution of our AWS infrastructure, Kubernetes environments and Terraform infrastructure as code. Design environments for individual markets and licences, ensuring appropriate isolation, resilience and regulatory alignment. Define service-level objectives (SLOs), monitoring standards and reliability improvements. Own incident management, escalation procedures, on-call practices and post-incident reviews. Agentic SRE & Operational Automation Build the agentic SRE operating model, defining what agents can triage, investigate and remediate autonomously, and when human approval is required. Own the infrastructure Model Context Protocol (MCP) layer, including tool access, permissions, guardrails and audit trails. Establish agents as first responders within defined boundaries, with people accountable for critical decisions. Equip Production Operations with agent tooling that reduces manual monitoring and repetitive operational work. Validate agent actions and improve automation through production feedback, measurable outcomes and safe rollback mechanisms. Security, Compliance & Cost Management: Embed security and least-privilege access into infrastructure and agent workflows. Define controls that limit the impact of automated actions, including approval gates, execution boundaries and traceability. Support compliance requirements, licence audits and infrastructure security reviews. Own cloud cost visibility and optimisation, including LLM usage and token spend. Team Leadership: Lead, mentor and develop two DevOps engineers. Set technical priorities, engineering standards and delivery expectations. Partner with Engineering, Production Operations and Security to balance delivery speed, reliability and compliance. Must-Have Experience: 6+ years of experience in DevOps or SRE, including 2+ years in a technical leadership role. Strong hands-on experience operating AWS, Kubernetes and Terraform at scale. Proven ownership of production reliability, incident management and on-call processes. Demonstrated experience running agentic operations in production, such as MCP servers, AI-driven incident triage or automated remediation. Ability to design guardrails for AI agents in regulated environments, including approval workflows, audit trails and controls that limit the scope and impact of agent actions. Experience leading engineers while remaining actively involved in architecture and implementation. Nice to Have: Experience in iGaming or other regulated environments, including ISO 27001 and licence audits. Experience building an internal AI operations platform or Slack-based ChatOps with agents. Familiarity with evaluation frameworks and observability for LLM agents. Experience with OpenTelemetry. By joining us, you can expect: A unique opportunity to build a career in a global, fast-growing company. An attractive remuneration package, based on qualifications and experience. Continuous learning and development opportunities. Company-wide events and team activities, fostering a fun and supportive work environment. Wolt monthly allowance. Snack Heaven! Our fully equipped kitchen offers free snacks, fruits, and beverages. Medical and wellness app, supporting both mental and physical well-being! Apply now and let’s achieve success together Apply at https://aloplay.bamboohr.com/careers/119?source=aWQ9MTg%3D to become a member of our amazing team! We appreciate all applicants' interest in our open position. Due to the large number of applications, only those who are being considered for the role will be contacted. All applications will be handled with the utmost confidentiality.

Location: Limassol, Cyprus We are looking for a Node.js Team Lead to lead an AI-native core engineering team and take ownership of our accounts, wallet and bonus engine. In this hands-on role, you will combine backend architecture, technical leadership and daily use of AI coding agents to build secure, scalable services. You will lead two developers and a QA engineer, establishing a development workflow that improves delivery speed while maintaining high standards for financial accuracy and security. Key Responsibilities: Establish and own the team’s AI-native development workflow, including coding agents, repository rules, AI-assisted code reviews and guardrails. Own the architecture and development of core services, including player accounts, wallets, bonuses, limits and KYC integrations. Lead and mentor two developers and a QA engineer, providing technical direction and supporting delivery. Perform final reviews of AI-generated code affecting financial transactions and security-sensitive functionality. Define and maintain API contracts used by the Payments, Games and Sports teams. Ensure reliable transaction processing and data consistency across high-volume financial operations. Track the impact of AI-assisted development through cycle time and defect rates and keep the team’s AI tooling and practices current. Required Experience: 6+ years of hands-on experience with Node.js and TypeScript, including 2+ years in a technical leadership role. Daily, hands-on use of AI coding agents, with experience introducing and rolling out an AI-assisted development workflow across a team. Strong practical experience with NestJS, PostgreSQL, Redis and message queues. Proven experience building high-load systems that process financial transactions reliably and maintain data consistency. Strong backend architecture, API design and code review skills, with particular attention to security and transaction integrity. Nice to Have: Experience building Model Context Protocol (MCP) servers, internal AI agents or LLM-powered features using tool calling or retrieval-augmented generation (RAG). Experience developing iGaming wallets or bonus engines. Experience with Kubernetes and AWS. By joining us, you can expect: A unique opportunity to build a career in a global, fast-growing company. An attractive remuneration package, based on qualifications and experience. Continuous learning and development opportunities. Company-wide events and team activities, fostering a fun and supportive work environment. Wolt monthly allowance. Snack Heaven! Our fully equipped kitchen offers free snacks, fruits, and beverages. Medical and wellness app, supporting both mental and physical well-being! Apply now and let’s achieve success together Apply at https://aloplay.bamboohr.com/careers/118?source=aWQ9MTg%3D to become a member of our amazing team! We appreciate all applicants' interest in our open position. Due to the large number of applications, only those who are being considered for the role will be contacted. All applications will be handled with the utmost confidentiality.

Location: Los Angeles, United States; Warsaw, Poland; Tbilisi, Georgia; Batumi, Georgia; Buenos Aires, Argentina; Tallinn, Estonia LBC Mortgage is hiring an entry-level GEO Specialist! This is a hands-on, learn-fast role. You don't need years of GEO experience. You need to be obsessed with AI tools, follow a plan, test new ideas every week and track what works. New AI platforms and agents appear every few weeks, and you'll make sure we show up on them. About the Role More people now ask AI assistants for recommendations instead of searching Google. We’re looking for a hands-on GEO Specialist to make sure our brand is visible, accurate, and trusted across the platforms these AI engines and map services rely on. You’ll follow a clear strategy, use AI tools like ChatGPT to work efficiently, and take ownership of our listings, community presence, and content. What You’ll Do Set up, verify, and maintain our business profiles on key platforms, including Google Business Profile, Bing Places, Apple Business Connect, LinkedIn, Yelp, Facebook, Trustpilot, Nextdoor, Foursquare, and YellowPages. Keep our business name, address, and phone number (NAP) identical across every listing, and audit regularly for inconsistencies. Write clear, conversational business descriptions and profile content that match how people phrase questions to AI assistants. Participate genuinely in communities such as Reddit and Quora by answering questions, sharing expertise, and representing the brand transparently. Encourage and manage customer reviews on platforms like Google, Yelp, and Trustpilot, and respond to reviews professionally. Use ChatGPT and other AI tools to draft content, research questions people ask, and speed up routine work. Track where and how our brand appears in AI-generated answers and local search results, and report on progress monthly. Support basic SEO tasks such as updating website content and keywords as directed. What We’re Looking For 1+ years of experience in digital marketing, SEO, social media, or content (or a strong portfolio showing similar work). Excellent written English and the ability to write naturally for different audiences. Comfort using AI tools like ChatGPT, Gemini, or Perplexity in daily work. Strong attention to detail, especially with data consistency across platforms. Familiarity with Reddit and Quora community norms. Organized, reliable, and able to follow processes while flagging ideas for improvement. Nice to Have Experience with Google Business Profile or local SEO. Basic knowledge of SEO tools (Google Search Console, Semrush, Ahrefs, or similar). Interest in how AI search is changing digital marketing.

Location: China; Taiwan; Hong Kong Libertex Group Overview Established in 1997, the Libertex Group is an international powerhouse with over 29 years of financial markets expertise. Over the years, the Libertex Group has helped shape the online trading industry by merging together innovative technology, market movements and digital trends. This was made possible with the introduction of ‘Libertex’, the multi-awarded online trading platform with which anyone can access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others. A firm believer in the power of sports to inspire, empower and push for success, Libertex is the Official Online Trading Partner of Audi Revolut F1® Team. The Libertex Group in Numbers: • 29+ years of fintech experience • 3M+ clients worldwide • 700+ employees • 45+ international awards (for Libertex) • 300+ tradable assets (through Libertex) The Libertex Group is constantly driven by a single passionate purpose – to tirelessly work on developing amazing fintech for people who simply want to have ‘more’ in their lives. Job Overview The IB Manager will be responsible for developing and maintaining strong client relationships, promoting forex products and services, and conducting market research to provide insightful analysis. You will assist clients with account opening and trading, handle inquiries, and resolve issues efficiently. Main Responsibilities Develop and maintain strong relationships with clients to ensure their satisfaction and loyalty. Promote forex products and services to potential clients via phone and email communication. Conduct research on market trends and provide insightful market analysis to clients. Assist clients with account opening and trading forex. Handle customer inquiries and resolve any issues in a timely and efficient manner. Collaborate with team members to achieve sales targets and revenue goals. Maintain accurate records of client interactions and sales activities. Actively present company products and services to agents, Introducing Brokers (IBs), and customers. Increase sales from potential customers and search for agents and IBs. Stay up to date with industry trends and best practices. Requirements Degree in Finance, Economics, Marketing or any other relevant field. At least 2-3 years of experience in business development in the Forex, FinTech, Crypto industry or other related industry. Excellent command of Mandarin and English language. Knowledge of hedging and liquidity products. Strong understanding of fundamental product knowledge and market structure. Benefits 10 working days of annual leave Udemy Business unlimited membership Professional and personal development opportunities in a fast-growing environment Libertex Group is an equal opportunity employer, fostering an inclusive and diverse environment. We do not discriminate based on any characteristic protected by the law. Candidate privacy is respected, and all data is securely stored and used solely for recruitment purposes, in line with GDPR and our internal policies. Unsuccessful applicants may have their data retained for future opportunities unless deletion is requested.

Location: Toronto Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Workplace Project Manager, you'll take our workplace playbooks and standards and turn them into delivered projects and programs on the ground - office moves and openings, and global special projects like health & safety programming, design standards, emergency response planning, WVPPs, sustainability, and new tooling rollouts. This is a hands-on delivery role: you own scope, schedule, and budget for each project or program and drive it from kickoff to close. Where the program sets the standard, your projects and programs bring it to life - on time, on budget, and to spec. WHAT YOU'LL DO Global Special Projects - Project manage Workplace's global special projects: health & safety (H&S) programming, global design standards, global emergency response programming, Workplace Violence Prevention Plans (WVPPs), and sustainability programming across Harvey's office portfolio. - Partner with Security, HR, Legal, and regional Workplace leads to build and roll out emergency response plans and WVPPs that meet local regulatory requirements while staying consistent with Harvey's global standards. - Maintain and evolve global design standards (furniture, finishes, signage) so offices feel consistently "Harvey" as we scale into new markets. - Drive sustainability initiatives across offices - vendor and materials selection, energy and waste programs - and track progress against goals. - Own the global rollout of Workplace tooling and software - evaluating, piloting, and implementing platforms like desk booking, occupancy, and ticketing, and driving stakeholder training and adoption. - Own global and national vendor contracts (F&B, janitorial, plants, and similar categories) - procurement, negotiation, and the master vendor relationship - while regional workplace managers own the day-to-day relationship, performance, and feedback in their offices. Global Playbook & Portfolio Management (Moves & Openings) - Build and maintain the FDOB checklist and playbook that regional workplace leads execute against for satellite moves, expansions, and new-office openings. - Own the portfolio-level calendar tracking when and where expansions and new offices are happening across the org, so Workplace can sequence and resource projects appropriately. - Step in to lead a move, opening, or buildout directly where a region doesn't yet have an established workplace manager, or where the existing regional team doesn't have the bandwidth - expect this to be a shrinking share of the role over time as regional coverage matures. - Coordinate with IT, Security, and AV to keep day-one readiness standards current in the playbook, so regional teams can deliver consistently without you running each project personally. Program Management - Build and maintain project plans, schedules, and budgets across global programs and the FDOB playbook; track milestones, dependencies, and risks, and communicate status clearly to stakeholders and leadership. - Maintain the portfolio-level view across all in-flight and planned moves, openings, and buildouts, flagging sequencing and resourcing risks to leadership. - Manage vendor relationships tied to your global contracts and programs, holding them accountable to schedule and quality. - Report to the Global Workplace Operations Manager to ensure every program and playbook meets Harvey's workplace standards and sets regional teams up for smooth steady-state operations. WHAT YOU HAVE - 5+ years in workplace operations, program management, or project management, with experience leading cross-functional programs such as health & safety, emergency preparedness, sustainability, or systems/tooling rollouts. - Strong program design and playbook-building instincts - you'd rather build a system and standard that others execute against well than run every project yourself. - Experience managing vendor and procurement relationships at a national or global scale. - Strong command of project management fundamentals - scope, schedule, budget, risk, and stakeholder communication. - Experience partnering with (not necessarily owning) construction, real estate, or facilities teams on office moves or buildouts. - Excellent organizational and communication skills; you keep complex, fast-moving programs on track and everyone informed. - Comfort with ambiguity and a hands-on, get-it-done approach. - Based in Toronto and able to work on-site at our Toronto office, with willingness to travel to other sites as projects require. NICE TO HAVE - Experience building or administering H&S programs, emergency response plans, or WVPPs. - Experience with sustainability program design or reporting. - Familiarity with project / workplace tools - e.g., Asana, Smartsheet, Envoy, OfficeSpace. - Experience building playbooks or programs that scale across a distributed, multi-region team. COMPENSATION $91,400 - $ 137,000 CAD 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-ML1 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; Remote; 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 building a world-class support function, and the pace at which our product evolves means enablement is the infrastructure our customer experience runs on. We're looking for a Manager of CX Knowledge & Enablement to build that infrastructure and lead the team that owns it. The function is new as of this quarter. The foundation exists; most of what it needs to become does not. Reporting to the CX Operations Manager, you will manage the Enablement team and own the knowledge infrastructure that customer-facing and AI-assisted work runs on, along with the competency and quality programs built on top of it: onboarding, ongoing product and process training, and quality assurance. You'll define what this function is responsible for, what it deliberately isn't, and the roadmap that gets it there. Your goal is to help CX specialists succeed: build confidence, develop the skills to handle complex customer issues, and consistently meet their performance targets through practical learning and support tailored to their needs. You'll lead a team that carries the execution, and you'll stay hands-on through a build phase where most of the system doesn't exist yet: designing the architecture, writing the first version of the standards, proving the model before handing it off. This is a role for someone with a point of view on where support enablement is headed in an AI-assisted org, and the bias for execution to get there. WHAT YOU'LL DO - Own the knowledge infrastructure strategy end to end: the architecture, the consolidation path off our current fragmented surfaces, the governance model, and the platform decisions. This covers the full content surface: enablement and training, product best practices, troubleshooting, and product support. - Architect that knowledge to be structured, retrievable, and reliable enough to serve both human and AI consumers. - Own the standards for support competency at Harvey: what "ready" means from onboarding through mastery, how it's measured, and how readiness is maintained against a product that changes weekly. - Own the quality system as the diagnostic layer on top of the infrastructure. Where knowledge is wrong, missing, or unfindable it should route back into the platform rather than into a training backlog. - Build the release-to-readiness loop with Product and Product Ops and the mechanism that converts what's shipping into organizational readiness ahead of the ticket volume. - Design a balanced, audience-appropriate learning strategy. Choose the right mix of instructor-led sessions, self-paced modules, written documentation, short-form video, peer learning, and in-workflow guidance for each audience, type of content, and level of urgency. - Build and lead the team that maintains the system: hire ahead of need, set a high bar, and scale the team's capability in step with the organization it serves. - Measure the system by its downstream outcomes: specialist ramp time, attainment of performance targets, speed to competency on new releases, resolution quality, and deflection through self-serve and agent-handled resolution. Combine quantitative metrics with structured specialist feedback, turn the findings into targeted action plans, and report on effectiveness to leadership - Use AI in the work itself, not just as a consumer of it: generating and maintaining content, detecting staleness and gaps from ticket signal, and automating the parts of enablement that shouldn't need a person. Treat the team's own leverage as something to keep raising. - Partner with the AI Support team, Engineering, Product, and GTM Enablement to make sure the knowledge layer serves every surface that depends on it, and own the agent-facing content itself. WHAT YOU HAVE - 8+ years across knowledge management, support enablement, education, trust & safety, or a related function, including experience building or leading a team and owning a system rather than a program. - 4+ years managing teams in a high-volume environment serving enterprise customers. - Demonstrated experience in architecting knowledge to be serviceable at scale. You've built a knowledge system serving a large user and AI agent population, and you can speak to the architecture decisions and what they bought you. - A point of view on what enablement becomes when agents handle the first line and specialists only see the hard cases: how the competency bar moves, what training is for, and which parts of the traditional playbook stop applying. You're rebuilding the function for where support is going, not porting what worked before. - Track record of owning a consolidation or platform migration that retired fragmented surfaces and got an organization onto one system. - Experience launching, managing, and improving knowledge or training platforms, with measurable operational improvement to show for it. - Data-driven approach to measuring impact: comfortable defining success metrics, instrumenting ramp, quality, and resolution outcomes, and using what they show to decide where to invest. - Strong instructional design range, including the judgment to choose the right format for each learning need and to adapt content for different audiences, tenure levels, and learning preferences. - Experience working in fast release cycles and adapting content rapidly as products and processes evolve. - Deep familiarity with AI-assisted support workflows and what it takes for an agent and a specialist to handle complex technical customer issues with confidence. - Experience building content for AI systems as well as people, or a clear point of view on what changes when both are consuming the same knowledge base. - Strong cross-functional instincts, you know how to partner across Product, Engineering, AI, and GTM to get the right things built and adopted without needing to own the technology yourself. - Excellent communication skills and the presence to establish credibility for your team's work across the organization. - Bonus: experience supporting a legal, regulated, or otherwise high-stakes customer base. COMPENSATION $144,000 - $216,000 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-CG1 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: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As a GTM Engineer, you'll build the AI apps and workflows that Vercel's Sales, Marketing, Customer Success, and Data teams use to drive revenue. You'll work directly with those teams to find where go-to-market work is slow or manual, then ship production software on Vercel's AI Cloud that fixes it. You'll ship code daily and turn what top performers do into systems the whole org runs on. In your first 6 to 12 months, success means GTM teams rely on the tools you've built every day, and the guides you've published help other teams build their own. This is a hybrid role with 3 in-office days per week in San Francisco, New York City, or Austin. What you'll do Build and ship AI apps and workflows on Vercel's AI Cloud for Sales, Marketing, Customer Success, and Data teams Find the highest-cost pain points across GTM teams and ship solutions that remove them Turn the workflows of top-performing GTM teammates into systems the whole org uses Test new Vercel features as an internal customer and give product feedback to engineering Publish best practices, guides, and examples for building GTM tools on Vercel's AI Cloud What you need 4+ years of full-stack development experience Shipped a Next.js app to production that real users depend on Built and shipped features on AI model APIs such as OpenAI, Anthropic, or the v0 API Hands-on experience deploying and running projects on Vercel Worked directly with non-technical business teams to scope and ship internal tools Bonus if you Have built an AI agent Have built features with the AI SDK Have published blog posts or videos explaining technical concepts Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $180,000 - $295,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Toronto Workplace: OnSite WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As Workplace Specialist, you are Harvey's Workplace team in Toronto. You run the office end to end: the space, the service partners behind it, the experience employees and clients have in it, and the front door. You are the person everyone in the office turns to, and the one who actually knows. Your manager sits in another office and time zone. You take priorities and standards from them and from the global Workplace team, then run the office with real independence. You escalate the calls that need a manager: contract terms, spend above your authority, and anything with cost, risk, or precedent attached. Our Toronto office is a serviced suite at iQ Offices, 302 Bay Street. Much of your building work runs through the iQ team rather than a traditional landlord, and as Toronto grows you will help shape what the next space needs. This is a fully in-office role, Monday through Friday, 9:00am–5:00pm, with flexibility for early setups, events, and the occasional after-hours matter. WHAT YOU'LL DO The Office Standard - Hold the office to the standard the Workplace team sets for appearance, cleanliness, and readiness, and flag what is slipping before it becomes visible - Walk the office daily and find maintenance needs, safety concerns, and service gaps before anyone reports them - Be the first person anyone asks about how the space works Building & Facilities - Hold the day-to-day relationship with iQ Offices and building management: work orders, approvals, access, and follow-through - Manage facilities issues (HVAC, plumbing, lighting, doors, appliances, repairs), managing iQ through resolution, and confirm the fix held - Coordinate deliveries, freight, and loading dock bookings within the building's rules - Escalate any building matter that carries cost, risk, or precedent to your manager Vendors & Food and Beverage - Keep the Toronto vendor book current: contacts, scopes, performance notes, COIs, and renewal dates - Hold vendors to scope, address service issues directly, and escalate patterns rather than incidents - Run the pantry, snack, coffee, and catered lunch program; track consumption and cost per head - Source local Toronto vendors for catering, supplies, and services as the office grows Front of House & Guests - Own the front door: greet employees, candidates, and clients, and manage the visitor experience end to end - Issue and revoke employee badges and keep building access accurate, to the policy set by Workplace and Security - Receive and route mail, packages, and couriers - Arrange cover through iQ reception or a backup plan agreed with your manager when you are out Employee Experience & Events - Plan and run Toronto onsite events, celebrations, team lunches, and all-hands viewing logistics, end to end - Deliver client and executive visits: room sets, catering, AV readiness, and the details that make Harvey look sharp - Host travelling employees and leaders from other offices, so desks, access, and logistics are ready before they land Onboarding - Run the Toronto new hire Day 1: desk setup, badges, building access, welcome, office tour, and swag - Partner with People Ops and IT so every new hire is set up before they arrive Space, Supplies & Budget - Keep the seating chart accurate and execute moves, adds, and changes - Track desk utilization and flag capacity pressure early, with the data behind it - Own office supply inventory and ordering, including first aid and emergency supplies - Submit new and recurring POs via our Procurement platform - Track Toronto Workplace spend against budget (invoices, POs, cost per head), and partner with Finance on payment Safety & Compliance - Execute the emergency preparedness program: maintain the floor warden roster, join building drills, and coordinate with building life safety - Serve as first responder during a workplace incident and report it through the process your manager owns - Keep the office aligned with Ontario workplace health and safety requirements (for example, required postings and first aid kits), with support from People Ops Systems & the Global Team - Administer Workplace tools day to day (ticketing, seating, visitor management) and keep records accurate - Own the Toronto Workplace request queue: resolve what you can, route what belongs to IT, People Ops, or Security - Document how Toronto runs in SOPs and the site playbook, so anyone could pick it up cold - Adopt global Workplace programs and standards locally, and tell the team where Toronto needs something different - Partner with IT on conference room and AV readiness WHAT YOU HAVE - 4+ years in workplace operations, office management, facilities, or hospitality, including time as the primary or only Workplace person on site - Breadth across facilities, vendors, front of house, events, and onboarding. You are as comfortable with a work order as with a client visit - Direct experience managing vendors and holding them to scope, including the difficult conversation when service slips - A foundational understanding of office systems (HVAC, plumbing, electrical, lighting), enough to describe a problem accurately and judge whether the fix held - Experience with event and hospitality execution: catering, setups, and the details guests notice - Comfort tracking spend, invoices, and POs, and turning day-to-day data into a clear picture for your manager - Strong judgment working with a remote manager: you know what to handle, what to flag, and how to keep them informed without being chased - Clear, professional written and verbal communication - A self-starter who builds process where none exists yet - Calm and resourceful when things go sideways, with no one down the hall to hand it to - Genuine care for how the space feels to the people in it - Knowledge of the Toronto vendor market and Ontario workplace requirements is a strong plus - Experience in a serviced or flex office environment, or supporting an office opening or expansion, is a strong plus WHAT WE OFFER - Be part of building something special as a founding member of our Toronto team - Structured hybrid working arrangement: 3 days in our Toronto office, 2 days working from home COMPENSATION CAD $76,000 - 114,000 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. We are an AI company and we use AI to improve all of our processes, including in the recruitment process. Whilst we do use AI to help improve efficiency in our recruitment process, we do not rely on AI to make any automated decisions and ensure that a human reviews AI output. #LI-ML3 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco, CA 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 an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native startups building in the physical world, across robotics, semiconductors, aerospace, manufacturing, and civil infrastructure, as they grow from early product to scale. Some of these companies build the hardware itself and want Claude woven into how they design, test, and operate it, and others build the software that engineers everywhere use to design, simulate, test, and scale, and this role works with both. You'll lead deep technical engagements, partnering directly with startup software and hardware engineering teams to help them build their products on Claude and run their own engineering with it, advising on implementation and agent design as they build what is newly possible with AI in the physical world. You will bridge the gap between what Claude can do and what it takes to build real things, working alongside some of the strongest teams in the field on problems that matter and helping mechanical, electrical, and process engineers get the kind of step change that software engineering has had from agentic coding with tools like Claude Code. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your engineering domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable physical AI startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential startups building in the physical world, whether Claude sits inside the product they sell or inside the way they design, test, and run their own hardware, working alongside them to push the boundaries of AI in engineering, manufacturing, operations, and more Work hands-on with startup software and hardware teams through pair programming and architecture reviews that accelerate their development, and understand their engineering workflows end to end, from design and simulation through test, production, and operations, so that your guidance fits how real hardware gets built Develop prototypes and technical documentation, including evaluation suites, benchmarks grounded in real engineering tasks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, for example integrating Claude with CAD, simulation, design tools, or industrial automation Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about applying AI to physical systems such as reading drawings, 3D geometry, board layout and routing, GD&T, latency and on-premise constraints, and physical safety, then build repeatable evaluations and solutions and contribute insights back to Product, Engineering, Research, and the broader Applied AI team Create technical content for startup audiences including documentation, tutorials, and sample code Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep engineering experience in a physical discipline such as mechanical, electrical, aerospace, robotics, semiconductor, manufacturing, or civil engineering, gained by designing, building, or operating real hardware, along with strong opinions of your own about how to bridge the gap between what AI can do today and how physical things get built 4+ years of technical experience as a software engineer, ML or research engineer, robotics or controls engineer, hardware or systems engineer, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real engineering work in design, simulation, test, or production Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both software and hardware engineering audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the range of a generalist who can context-switch from robots to chips to rockets to factories and get up to speed on a new domain quickly, and a passion for making powerful technology safe and beneficial 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: $280,000 — $320,000 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 an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native life sciences and biotech startups as they grow from early product to scale. Some of these companies build products on Claude that they sell to the rest of the industry, and others do the science themselves and want Claude woven into how their own research runs, and this role works with both. You'll lead deep technical engagements, partnering directly with startup engineering and scientific teams to help them build their products on Claude and run their own research with it, advising on implementation and agent design as they build what is newly possible with AI in the life sciences. You will bridge the gap between what Claude can do and what the life sciences need, working alongside some of the strongest teams in the field on problems that matter and pushing the boundaries of AI in science as you go. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your scientific domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable life sciences startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential life sciences and biotech startups, whether Claude sits inside the product they sell or inside the way they make discoveries, working alongside them to build innovative use cases that push the boundaries of AI in scientific research and development Work hands-on with startup engineering teams and their scientists through pair programming and architecture reviews that accelerate their development, and understand their scientific workflows end to end so that your guidance fits into real research pipelines Develop prototypes and technical documentation, including evaluation suites, scientifically grounded benchmarks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, such as example MCP servers for domain-specific data sources like genomics platforms, literature databases, and experimental repositories, along with agent skills for common scientific workflows Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about deploying AI in the life sciences such as heterogeneous data, auditability requirements, and the gap between a working prototype and a system that scientists trust, and contribute insights back to Product, Engineering, Research, and the broader Applied AI team, including feedback on the model capabilities and product features that would most accelerate discovery work Create technical content for startup audiences including documentation, tutorials, and sample code Represent Anthropic across the life sciences startup ecosystem and foster community engagement through hackathons, webinars, technical office hours, in-person founder events, and research show and tells Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep experience in the life sciences or biotech, gained through research or industry work in areas such as genomics, drug discovery, molecular design, lab automation, or clinical development, along with strong opinions of your own about how to bridge the gap between what AI can do today and what the life sciences need 4+ years of technical experience as a software engineer, ML or research engineer, computational biologist, research scientist, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real scientific work in the lab or in research Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both engineering and scientific audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the ability to context-switch across scientific domains and use cases, and a passion for making powerful technology safe and beneficial 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: $280,000 — $320,000 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: Austin, TX, United States, Chicago, Illinois, United States, Redwood City, CA, United States, San Francisco, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHAT MAKES US DIFFERENT We operate with a founder-like mindset: we move fast, take ownership, and hold ourselves to a high bar. We are genuinely customer-obsessed, and we bring that same curiosity and care to how we work with each other. If you want to work somewhere that challenges you, trusts you, and gives you the opportunity to do work that actually moves the needle, Box is that place. WHY BOX NEEDS YOU Every enterprise is sitting on a goldmine they can't access. Millions of documents, contracts, presentations, images, and emails, the institutional knowledge that defines how a company operates, are locked in legacy systems, invisible to the AI models and agents that could transform how work gets done. Box is the platform that changes that.Box has seen a major evolution since pioneering cloud storage solutions. Today, we are building the secure, intelligent content layer that connects enterprise knowledge to AI powering any model, any agent, and any workflow, while maintaining the governance, compliance, and control that the world's largest organizations demand. AI is only as powerful as the information it can securely access, and that is exactly what Box provides.The enterprises that win the AI era will be the ones that can securely connect their models to the right knowledge, at the right time, with the right controls. Box is that foundation, and we've been building toward this moment for over 20 years. We are seeking high-caliber sales professionals to drive new customer acquisition and expand relationships across our largest enterprise accounts As an Enterprise Account Executive, you’ll be bringing in new logos as well as growing and expanding existing customers within our largest accounts. You won't be selling a point solution, you'll be helping all lines of business rethink the role of their most valuable asset, their content. WHAT YOU'LL DO Own a portfolio of strategic enterprise accounts (2k-10k employees) and lead complex, multi-stakeholder sales cycles that drive measurable business transformation, not just transactions. Exercise judgment in selecting methodologies, techniques and evaluation criteria throughout the sales process Partner with CIOs, CTOs, CISOs, and senior business leaders to identify where Box can unlock real, measurable value and change how an organization operates. Research and understand your customers and prospects to gain insight into their business challenges and Box value proposition Collaborate with internal teams across Solutions Engineering, Customer Success, Product, Marketing, Partners, and Executive Leadership to deliver outcomes that customers remember. Build, qualify, and advance pipeline by proactively creating urgency and driving opportunities forward through outbound prospecting and a hunter mindset. Serve as the voice of the customer by bringing market intelligence and customer feedback back to Product and GTM teams to shape how Box evolves. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. 5+ years of enterprise field sales experience with a consistent track record of exceeding goals in complex, multi-stakeholder environments selling SaaS, cloud, data, cybersecurity, or AI solutions. Energized by C-suite engagement and know how to earn and maintain trust at the executive level across IT, security, legal, finance, and business leadership. Proven ability to translate complex platform capabilities into clear business value, communicating emerging technology effectively to diverse audiences, from technical practitioners to senior leadership. Proactive pipeline builder who identifies and develops opportunities through strategic prospecting, creative sourcing, and disciplined follow-through. Display curiosity about AI, eager to learn, and passionate about helping organizations navigate major technological advancements. Thrive in a culture of respectful candor: you communicate openly, welcome feedback, and believe that transparent, constructive dialogue strengthens team collaboration and decision-making. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. This is a field sales role with travel requirements up to 50%. Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY 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, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Austin Pay Range $238,000 — $297,500 USD Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Chicago Pay Range $238,000 — $297,500 USD Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . San Francisco Pay Range $238,000 — $297,500 USD

Location: Toronto Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As an Enterprise Account Executive at Harvey, you will drive the growth and success of our AI solutions within the legal and professional services markets. You will be responsible for establishing and growing relationships with law firms and other large enterprise clients, understanding their unique challenges, and presenting AI solutions that streamline their processes and boost productivity. Your ability to articulate the value of Harvey's products, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work. WHAT YOU'LL DO - Develop and manage a named account list and be responsible for the full sales cycle from prospecting to contracting to onboarding, launching, and growing new users. - Achieve and exceed revenue targets and other key sales metrics. - Effectively work cross-functionally across the organization to shape Harvey’s solutions to meet customer needs. Collaborate closely with the engineering and product teams to stay updated on the latest AI advancements and tailor solutions to meet client goals. - Build strong, long-term relationships with key decision-makers and stakeholders, understanding their pain points and aligning Harvey's solutions with their needs. - Conduct product demonstrations and presentations, showcasing the power of Harvey's AI systems to prospects and clients. - Develop our sales playbook to enable scaling, documenting learnings that can be applied across accounts. WHAT YOU HAVE - Minimum 5 years of experience in enterprise B2B SaaS sales, with a proven track record of selling complex software solutions to enterprise clients and the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology. - Proven track record of selling complex software solutions to enterprise clients, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology. - Ability to lead a complex, multi-threaded sale with stakeholders ranging from executives across various functions to day-to-day product users – especially the ability to convey technical concepts to non-technical audiences. - Demonstrated passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work and interest in the legal profession and helping lawyers do their jobs better and more efficiently. - Excited about prospecting, and capable of independently leading a sales cycle from start to finish. - Team player who can collaborate effectively across internal functions (product, legal, etc.) to achieve common goals. - Energized by contributing to the development of our sales processes and team-driven sales culture, refining the value proposition of our solutions and creating sales resources to drive our success. WHAT WE OFFER - Be part of building something special as a founding member of our Toronto team - Structured hybrid working arrangement: 3 days in our Toronto office, 2 days working from home COMPENSATION CAD $318,800 - $403,200 OTE 50/50 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. We are an AI company and we use AI to improve all of our processes, including in the recruitment process. Whilst we do use AI to help improve efficiency in our recruitment process, we do not rely on AI to make any automated decisions and ensure that a human reviews AI output. #LI-JB1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco, CA or Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance—so developers can focus on building incredible AI agents, not gluing together infrastructure. The Gateway sits at the center of modern AI applications, offering: - A model and tool routing layer with built-in security and cost optimization - A familiar OpenAI-compatible interface and MCP server - Unified observability and policy enforcement - Auto-RAG, tool injection, session summarization, and more We’re just getting started—and we need exceptional engineers to help us build the backbone of the future of agent-based development. _______________________________________________________________________ WHAT YOU’LL DO - Design and implement core systems powering the AI Gateway, including the model router, MCP gateway, and control plane - Build infrastructure that supports dynamic model selection/routing, auto-failover, cost-based routing, and policy enforcement - Own critical capabilities such as secure credential storage, session summarization, caching, and rate limiting - Develop APIs for developers building with OpenAI-compatible interfaces and the Model Context Protocol - Build the underlying infrastructure to support evaluation, telemetry, replay, and backtesting for agents and LLM workflows - Lead architectural decisions and mentor engineers as the team scales - Performance tuning - caching, session summarization, and rate limiting that keep the gateway fast under real production load - Contribute to roadmap planning, technical strategy, and cross-functional alignment KEY PROBLEMS YOU’LL HELP SOLVE - Building a unified abstraction over fundamentally different model and tool providers without leaking their differences into the developer experience - Making credential and identity handling for tool access both airtight and fast - Giving developers real-time and historical visibility into what their agents are doing, with policy enforcement that can't be bypassed - Keeping latency low and reliability high as traffic scales from early adopters to production fleets - Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ WHO YOU ARE Required Qualifications: - 6+ years of backend engineering experience with production-grade systems - Deep knowledge of distributed and highly scalable systems, cloud-native infrastructure, and API design - Experience building secure, high-throughput services (e.g., gateways, proxies, load balancers, policy engines) - Fluency in Go, and/or Rust (both preferred) - Familiarity with AI/ML platforms or model serving infrastructure - A strong product mindset—you're excited about building developer-facing tools - Ownership mentality with a bias for shipping, learning, and iterating - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience Bonus Qualifications: - Prior experience with OpenAI, Anthropic, or similar LLM APIs - Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI) - Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways - Understanding of OAuth2.1, secret management, and cloud IAM systems - Experience with Kubernetes, Docker, and microservices architecture _______________________________________________________________________ WHY JOIN US? - Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software. - Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications. - Impact at scale: Your work will touch tens of thousands of developers building AI-first applications. - Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking. - Remote-first culture: Work from anywhere with a team that trusts and empowers you. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $160,900 – $260,700 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Santa Clara, CA Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment. Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done. We are seeking a Senior Product Marketing Manager to shape our story and own go-to-market execution for key areas of our platform. You will translate deep technical capabilities into compelling positioning and messaging, lead launches, and equip the field to win across enterprise and government organizations. Working closely with product, sales, and marketing, you will bring customer insight into strategy, influence product direction, and help customers understand how to adopt agentic operations with confidence. This is a hands-on role for a product marketer who enjoys going deep on technology, building compelling stories, and representing Forward with customers, analysts, and conference audiences to drive measurable market impact. This position reports to the Senior Director of Product Marketing at Forward. Responsibilities Own positioning, messaging, and value propositions for assigned products and use cases, aligned with Forward’s company narrative. Lead product launches end to end, coordinating readiness, announcements, field enablement, and post-launch measurement with product, sales, and marketing. Partner with product management to translate technical capabilities into clear customer outcomes and bring customer and market insight into product priorities. Create compelling product content and sales assets, including pitch decks, solution briefs, competitive battlecards, and demo narratives. Partner with the sales enablement function to help account teams and sales engineers use them effectively. Represent Forward as a credible product and industry expert at conferences, trade shows, webinars, and customer and partner meetings. Lead competitive and market research for assigned areas, informing positioning and deal strategy. Support analyst and press engagement through briefings, evaluations, and supporting materials. Partner with demand generation, field marketing, and corporate marketing to develop campaigns and events grounded in customer needs and consistent with our positioning. Qualifications Experience in enterprise software or B2B technology, with 7+ years in product marketing. Proven track record of launching technical products and developing positioning, messaging, and sales assets that help the field win. Strong technical aptitude and familiarity with networking, security, cloud infrastructure, automation, or agentic AI systems, with the ability to engage credibly with engineering and product teams and translate complex capabilities into business value. Excellent writing skills, supported by a portfolio of compelling product content for technical and business audiences. Confident presenter who can represent Forward as a credible expert at conferences, webinars, and customer, partner, and analyst meetings. Experience using customer research and competitive intelligence to inform go-to-market strategy; analyst relations experience is a plus. Self-directed and highly organized, with the ability to work across functions and manage multiple launches and projects in a fast-moving, growth-stage company. The base pay range for this role is between $165,000 and $200,000. Base pay will depend on your skills, qualifications, experience, and location

Location: San Francisco, CA or Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance - so developers can focus on building incredible AI agents, not gluing together infrastructure. The Gateway sits at the center of modern AI applications, offering: - A model and tool routing layer with built-in security and cost optimization - A familiar OpenAI-compatible interface and MCP server - Unified observability and policy enforcement - Auto-RAG, tool injection, session summarization, and more We’re just getting started and we need exceptional engineers to help us build the backbone of the future of agent-based development. _______________________________________________________________________ WHAT YOU’LL DO - Set technical direction for core systems powering the AI Gateway 0 the model router, MCP gateway, and control plane - and make sure architectural decisions hold up as usage scales by 10x - Consistently identify gaps in our infrastructure, process, or tooling before they become blockers, and drive the fix from idea to production - Take a significant, hands-on role in defining, delivering, and implementing the Gateway's technical strategy, in close partnership with engineering leadership - Own the hardest, highest-ambiguity problems in the system: dynamic model selection, auto-failover, cost-based routing, and policy enforcement that has to work end-to-end - Act as the go-to expert for secure credential storage, session summarization, caching, and rate limiting - the capabilities everything else depends on - Build the infrastructure that lets us, and our customers, evaluate, replay, and backtest agent and LLM behavior with confidence - Mentor senior and mid-level engineers, and raise the technical bar for the team through code, design review, and example - Partner with product, design, and leadership to shape not just what the control plane UI does, but where the product goes next KEY PROBLEMS YOU’LL HELP SOLVE - Define the unified abstraction layer across diverse model and tool providers (OpenAI, Anthropic, Google, AWS Bedrock) that the rest of the org builds on - Architect secure, scalable identity and credential vaulting for tool and model access, trusted enough to run at enterprise scale - Build the infrastructure for real-time and historical analytics of AI agent behavior that leadership and customers both rely on - Guarantee that policy enforcement and logging work end-to-end - from prompt to tool to response - with no gaps an auditor (or attacker) could find - Set the bar for developer experience through intuitive APIs and first-class observability - Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ WHO YOU ARE Required Qualifications - 8+ years of backend engineering experience, with a track record of owning production-grade systems at significant scale - Deep specialization in distributed systems, cloud-native infrastructure, and API design - recognized by peers and cross-functional partners as a go-to expert, not just experienced - Experience building secure, high-throughput services (gateways, proxies, load balancers, policy engines), and a history of making judgment calls other engineers rely on - Fluency in Go and/or Rust - A track record of identifying systemic gaps - in architecture, process, or tooling-— and driving the fix across team boundaries, not just within your own - A strong product mindset, with real experience shaping technical direction rather than only executing against it - Comfortable operating with wide latitude: given a problem and significant autonomy in how to solve it, including when and who to pull in - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience BONUS QUALIFICATIONS - Prior experience with OpenAI, Anthropic, or similar LLM APIs - Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI) - Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways - Understanding of OAuth 2.1, secret management, and cloud IAM systems - Experience with Kubernetes, Docker, and microservices architecture - A track record of setting technical standards that other teams or engineers went on to adopt _______________________________________________________________________ WHY JOIN US? - Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software. - Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications. - Impact at scale: Your work will touch tens of thousands of developers building AI-first applications. - Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking. - Remote-first culture: Work from anywhere with a team that trusts and empowers you. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Berlin Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Adoption of AI is moving rapidly from pilots to production. Enterprises and public sector organizations are investing in generative-AI programs, creating a once-in-a-decade market inflection point. At Cohere, we're committed to transforming the enterprise landscape through strategic partnerships and innovative AI solutions. As a Partner Development Manager for Germany and the DACH Region focused on the Public Sector & Enterprise Market, you'll be at the heart of our mission to empower businesses and government entities across the region with cutting-edge AI technologies. This role is perfect for someone who thrives in a dynamic, cross-cultural environment and is passionate about driving growth through collaboration. You'll work closely with leading enterprises, system integrators, technology partners, and public sector organizations to co-create value, expand market reach, and deliver impactful AI solutions tailored to the unique needs of businesses and government agencies. Your work will directly contribute to our success. You'll have the opportunity to shape partnerships that drive digital transformation in both commercial and public sectors, foster innovation, and position Cohere as a leader in the AI ecosystem. If you're a strategic thinker, a relationship builder, and eager to make a meaningful impact in one of the world's most dynamic markets including the public sector, this role is your chance to shape the future of AI. KEY RESPONSIBILITIES PARTNER STRATEGY & EXECUTION - Define and execute Cohere's partner go-to-market plan for the Enterprise & Public Sector Market, aligning with regional business objectives. - Partner with the broader GTM team to identify and recruit high-impact partners across system integrators, distributors, resellers, ISVs, cloud providers, and public sector consultancy firms. - Develop relationships with key stakeholders across the partner ecosystem, including government agencies, municipalities, and public sector institutions, to ensure partnership success. PARTNER ONBOARDING & ENABLEMENT - Lead partner onboarding, certification, and training programs to ensure partners are equipped to sell, deploy and manage Cohere's solutions effectively for both commercial and public sector customers. - Collaborate with enablement to scale partner enablement through sales and technical workshops, empowering them to deliver value to enterprise customers and government agencies. PIPELINE GENERATION & CO-SELLING - Own joint pipeline generation by creating co-sell motions, solution plays, and strategic joint go-to market motions that align Cohere's capabilities with enterprise mission needs and public sector procurement cycles. - Collaborate with partners to identify and pursue high-value opportunities in both commercial and government contracts. BUSINESS PLANNING & PERFORMANCE TRACKING - Ensure partners are aligned with Cohere's strategic goals and performance metrics, including public sector compliance and reporting requirements. - Run joint business planning sessions and quarterly business reviews (QBRs) with partners, tracking sourced and influenced ARR against targets. PARTNER ADVOCACY & FEEDBACK - Serve as the voice of the partner within Cohere, relaying feedback to Product, Engineering, and Legal teams. - Work with Cohere's Public Policy teams to navigate government AI policies and regulations to advise partners on risk management and responsible AI best practices for the public sector. THOUGHT LEADERSHIP & EVANGELISM - Evangelize Cohere's vision and solutions at partner and industry events, positioning Cohere as a leader in responsible GenAI for both commercial and public sector markets. - Build thought leadership through briefings, speaking engagements, and collaborative initiatives focused on AI in government and public services. WHY YOU'LL LOVE THIS ROLE This is a high-impact role where you'll shape the future of AI partnerships in both commercial and public sectors. You'll work at the intersection of technology, business, and policy, driving growth while ensuring responsible AI adoption across enterprises and government organizations. If you're passionate about building strategic alliances, driving innovation, and making a difference in one of the world's most dynamic markets including the public sector, this is the role for you. WHAT WE'RE LOOKING FOR - 8+ years of experience in partner development, channel sales, or alliance management within the tech industry, preferably in AI or cloud solutions, with a track record of enterprise ARR contribution and public sector partnerships. - Deep understanding of public sector organizations, government agencies, and municipal institutions, plus the enterprise market and key industry verticals. - Strong relationship-building and negotiation skills, with a track record of driving partner success in both commercial and public sector environments. - Experience and demonstrated depth with Sovereign Cloud GTM. - Ability to navigate complex regulatory and compliance landscapes, including AI ethics, government policies, and public sector procurement requirements. - Working understanding of AI (LLMs, retrieval-augmented generation, agentic workflows) and their applications in enterprise and public sector contexts. - Experience working with major system integrators, global consultancies, hyperscalers, and public sector technology partners including joint GTM and co-sell motions. - Excellent communication and presentation skills, with the ability to evangelize Cohere's vision to partners, government stakeholders, and industry organizations. - Results-driven growth mindset and bias for action. You thrive in a start-up-speed environment and enjoy building and scaling partner programs across commercial and public sectors. This role is ideal for someone who enjoys working in a dynamic, cross-cultural environment and wants to make a meaningful impact on how AI transforms both businesses and public services. The Berlin location provides access to a vibrant tech ecosystem with strong connections to European public sector initiatives and government partnerships. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Remote - US Role Overview This is a senior individual contributor role with significant architectural ownership. You will set the technical direction for how Backblaze detects, correlates, and responds to infrastructure incidents across our data centers, and you will mentor other engineers on the team as that platform matures. If you have a passion for making complex distributed systems visible, you are comfortable making architecture decisions that will outlive your tenure, and you are excited about applying AI and agentic automation to infrastructure operations, this role was built for you.. Key Responsibilities Technical Leadership Set technical direction and standards for observability across the organization, including instrumentation conventions, alerting philosophy, and dashboard design patterns. Mentor engineers on the Observability team and act as a technical resource for SRE, Storage Engineering, and Network Engineering on observability practice. Lead design reviews for observability work and represent the team in cross-functional architecture discussions. Evaluate build-versus-buy decisions for observability and AIOps tooling, including data sovereignty and compliance considerations. Produce and maintain design documentation, runbooks, and architectural decision records that make the platform operable and extensible by future contributors. Observability Platform Own and evolve our metrics pipeline, including VictoriaMetrics, Prometheus, and the Consul-based service discovery layer that keeps scrape targets current as infrastructure scales. Own and expand our logging stack (OpenSearch, Logstash, and Filebeat) across all Backblaze data centers. Architect and expand distributed tracing with Jaeger and OpenTelemetry, extending coverage beyond the current application instrumentation to new services. Define and maintain Grafana dashboard standards for infrastructure, storage, and application performance visibility. Drive expansion of internal application telemetry in partnership with application teams to improve visibility. Define capacity and retention strategy for the telemetry stack as the fleet grows. Infrastructure & Automation Own infrastructure-as-code for observability stack deployments across multiple Kubernetes clusters. Write and review automated playbooks for configuration management and automation across Debian-based bare metal servers. Partner with the SRE team on Consul-based service discovery for VictoriaMetrics scrape target automation. Lead Ceph storage observability, including OSD health, performance metrics, and integration with alerting. Collaborate with the Network Engineering team on BGP, routing, and network-level observability. Required Qualifications 8+ years in a systems engineering, SRE, DevOps, or observability-focused role, including demonstrated technical leadership on a platform or infrastructure team. Deep hands-on experience with Prometheus, VictoriaMetrics, or equivalent metrics platforms, including PromQL, Alertmanager, and operating these systems at scale. Experience designing and operating log aggregation pipelines such as Elasticsearch/OpenSearch, Logstash, Filebeat, or similar. Working knowledge of distributed tracing (Jaeger, OpenTelemetry, or equivalent), including instrumentation strategy, not just operation. Proficiency in Python and/or Go for automation and tooling. Experience with Kubernetes, including deploying workloads and understanding pod networking and storage. Experience with infrastructure-as-code tooling and configuration management. Strong understanding of Linux internals, with Debian/Ubuntu preferred. Demonstrated experience mentoring engineers and raising the technical bar on a team. Excellent written and verbal communication skills. You'll work across engineering, SRE, security, and leadership, and you'll be expected to write design documents that drive decisions. Preferred Qualifications Experience leading the evaluation or deployment of AIOps tooling, including alert correlation, deduplication, or automated root cause analysis. Experience building, deploying, or operating AI agents or agentic AI systems. This is a strong differentiator. Familiarity with LLM APIs (Anthropic, OpenAI) or self-hosted LLM inference in an infrastructure context. Familiarity with Ceph storage, including OSD management, pool configuration, and CRUSH maps. Experience with incident management platforms. Familiarity with BGP, network observability, or working in multi-DC environments. Experience with secrets management in production environments. Experience operating in a regulated or compliance-driven environment. Prior experience in a storage-focused company or hyperscale infrastructure environment. What You'll Work On A telemetry stack spanning several data centers with exabytes of storage under observation. Real infrastructure at scale: Kubernetes, Ceph, Vitess, KVM, and a custom storage platform serving hundreds of thousands of customers. A collaborative team that values engineering excellence, transparency, and operational rigor. Pay Transparency To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. Final offer amounts are determined by multiple factors including candidate location, skills, depth of work experience, and relevant licenses/credentials. The expected salary range for this role is $178,000 - $200,000 plus 10% target annual bonus and RSUs. At Backblaze, we value being fair and good to our customers, partners, and employees. Diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We are proud to be an Equal Opportunity Employer.

Location: London 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 This is a second-line leadership role where you will lead frontline managers, build a world-class team, and own the regional SMB number. You will be responsible for turning strong early traction into a repeatable, high-performing go-to-market engine across legal and professional services. We are still early. That means you will operate across altitudes, setting strategy, building structure, and staying close to the field on critical deals. You will help define how Harvey shows up in the EMEA market, shape our sales motion, and ensure we are delivering real value to customers adopting AI in high-stakes competitive environments. We are looking for someone who has led multi-team segments, developed high-potential sales managers, scaled teams in ambiguity, and knows what great looks like in complex SaaS sales. WHAT YOU'LL DO - Lead, coach and develop a team of SMB Sales Managers across EMEA, driving accountability for net new logo and expansion ARR targets. - Implement and maintain a rigorous sales operating cadence, including seller onboarding, enablement, coaching, pipeline generation, and deal execution - Drive the regional sales strategy, including territory design, coverage models, and go-to-market execution. - Own EMEA SMB forecasting and pipeline health, providing accurate reporting to senior leadership. - Hire, coach, and retain top managerial talent; build a strong leadership bench across the region. - Partner with global SMB leadership to localize and refine the sales playbook for EMEA markets. - Develop executive relationships with Harvey’s highest value Mid Market customers across the region - Work cross-functionally with marketing, solutions engineering, legal, and customer success to ensure a cohesive customer experience across the region. - Represent EMEA SMB in global planning cycles, headcount discussions, and strategic initiatives. WHAT YOU HAVE - 10+ years of B2B tech sales experience, including 4+ years managing and developing sales managers or senior individual contributors. - Demonstrated success leading a regional or multi-market sales organization in a high-growth, early-stage environment. - Strong track record of selling complex software to enterprise or SMB clients using a consultative, value-based methodology. - Experience operating across EMEA markets, with an understanding of regional dynamics, buyer behaviors, and legal industry nuances. - Exceptional communication and executive presence — able to influence both frontline teams and senior stakeholders. - Genuine passion for Harvey's mission and a strong interest in how AI is transforming knowledge work and the legal profession. 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-JM1 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