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Location: Prague; Limassol Workplace: remote Join Azul at a pivotal moment as we expand the market for Java intelligence and observability solutions that help enterprises optimize, secure and modernize their Java environments.   As Principal Product Marketing Manager, Java Intelligence, you will be responsible for market strategy, positioning, messaging, go-to-market execution and commercial success for key areas of Azul’s Java Intelligence portfolio, including Azul Intelligence Cloud, Azul Optimizer Hub and Payara InSight.   You will shape how customers understand the value of these solutions, influence product direction in partnership with Product Management and Engineering and drive measurable business outcomes. This is a highly visible individual contributor role that requires strategic thinking, strong market instincts and the ability to lead through influence, translating complex technical capabilities into compelling business value for developers, architects, operations teams and enterprise decision-makers.     This role will ideally be based in either Prague, Czech Republic or Limassol, Cyprus   Or remotely in Europe. What You'll Do (aka Responsibilities) You will be responsible for specific areas across Azul Intelligence Cloud, Azul Optimizer Hub, and Payara InSight, working closely with other product managers and cross-functional partners. You will help shape product strategy, roadmap priorities, pricing and packaging, market positioning, and business performance for your areas. You’ll use customer insight, market data, and business results to recommend direction, build alignment, and drive decisions across product, engineering, sales, and marketing. The balance of your focus across the three products will evolve as business priorities change. These products are also closely connected to Azul’s Java runtimes: Optimizer Hub ships as part of Azul Prime, while Intelligence Cloud’s JVM Inventory supports Azul Core Oracle migration initiatives. Your work will therefore influence broader product and runtime priorities, and at times may include direct involvement with Azul Core and Azul Prime. This is an individual contributor role with no direct reports. Success will come through strong product judgment, clarity, data-driven decision making, collaboration, and the ability to influence teams and senior leaders. Responsibilities: Drive business and product outcomes. Define meaningful measures of success for your product areas and use them to guide priorities and decisions. Monitor sales, pipeline, pilot-to-production conversion, adoption, retention, and other relevant product and business metrics. Partner with sales, marketing, engineering, and leadership to understand performance, identify opportunities or risks, and adjust product direction when the data or customer feedback indicates a change is needed. Shape product strategy. Develop and recommend the multi-year direction for your areas, including where the products can differentiate, which customer segments and use cases to prioritize, and where Azul should build, partner, or integrate. Ensure your recommendations reflect customer needs, market dynamics, competitive intelligence, technical considerations, and Azul’s broader enterprise and open-source portfolio. Partner with executive leadership. Report to the VP of Product Management and work closely with the CPO, CEO, CRO, CTO, and other senior leaders. Present product strategies, roadmap recommendations, pricing considerations, customer insights, and business results clearly and credibly. Use evidence to support recommendations, invite constructive challenge, and adapt direction as new information emerges. Translate strategy into roadmap priorities. Turn product strategy into clear, sequenced, and achievable roadmap recommendations. Evaluate priorities and trade-offs across products and initiatives, build alignment with engineering, sales, and marketing, and help teams understand both what is being prioritized and why. Communicate roadmap direction effectively to internal stakeholders and customers while balancing customer needs, business opportunity, technical feasibility, and speed of execution. Develop pricing and packaging recommendations. Help shape how Intelligence Cloud is priced, packaged, and metered across Java environments of varying sizes and complexity, how Optimizer Hub is positioned and packaged as part of Azul Prime, and how Payara InSight is packaged for Azul Payara customers. Develop and test pricing models, gather feedback from customers and the field, and partner with finance, sales, and leadership to refine and implement recommendations. Lead inbound product management activities. Partner closely with engineering throughout the product development lifecycle, from requirements and design reviews through implementation decisions and release readiness. Lead customer discovery and requirements sessions, translate customer problems into clear product needs, and provide direction on UX and UI priorities. For areas involving Optimizer Hub, consider the operator experience of installing, sizing, and running the product on Kubernetes. Contribute to customer-facing technical documentation and knowledge-base content, deliver compelling product demonstrations, and continually evaluate the usability of the product. Lead outbound product management activities. Partner with marketing on positioning, product launches, sales enablement, competitive differentiation, and customer-facing content. Participate in customer and prospect conversations, support strategic deals and escalations, and conduct ongoing market and competitive research. Help ensure product messaging resonates with developers, platform teams, technical decision-makers, and executive buyers. Build technical credibility. Develop a strong working understanding of the technologies behind the products and engage effectively with engineering teams on product and technical trade-offs. You do not need to be a JVM internals expert, but you should understand JVM architecture and operating principles, including JIT compilation and warm-up, well enough to have substantive conversations with engineering and translate technical capabilities into meaningful customer and business value. What you bring (aka Experience, Skills) 8+ years experience in product management, including several years owning a product or product line end to end — strategy through launch through revenue. Track record shipping enterprise SaaS in an adjacent market: application performance monitoring, application security, observability, optimization, systems management, or log analytics. Fluency with AI tools and experience operating in an AI-first product management organization — you use them in your daily product work and have a view on where they help and where they don't. Deep technical fluency generally — you can read an architecture diagram, follow an engineering debate, and ask the question that changes the answer. Demonstrated ownership of pricing and packaging for a technical product, including the messy cross-functional work of getting a model approved and into market. Understanding of DevOps engineers, platform engineers, and developers as the key influencers in an enterprise sales cycle. Strong domain knowledge of public cloud (AWS, Azure, GCP) and Kubernetes. Excellent written and verbal communication in English — equally effective with an engineer and with a Fortune 100 CIO. Comfortable in a fully remote, async, multi-time-zone setup: self-directed, and a strong writer because writing is how decisions get made here. Comfortable in a startup-shaped environment where bringing order to chaos is part of the job. Nice to have Hands-on software or quality engineering background — you have written code and debugged production systems. Experience with open source communities. Familiarity with cloud cost optimization: how compute is provisioned, monitored, and optimized. Experience taking a new product from early traction to a durable revenue line. Working knowledge of Java and Java development tooling. Familiarity with Jakarta EE application servers (Payara, WebLogic, WebSphere, JBoss) and OpenTelemetry. Experience working across more than one product at once, especially products at different stages or sold through different motions. Experience with infrastructure software that customers deploy and operate themselves, not just SaaS. What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Employment at Azul is contingent upon the completion of reference and background checks.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Build primitives for self improvement: Create the feedback loops, evaluation systems, memory, signals, and decisioning infrastructure that help long-running agents learn from outcomes and improve over time. - Build the future of long-horizon agents: Design and ship agents that pursue complex business outcomes over days, weeks, or months across voice, SMS, email, and other channels. - Turn 0-to-1 work into a platform: Identify patterns and build reusable systems, abstractions, and tools that make future Horizon agents faster and easier to launch. - Solve technically complex problems: Build across orchestration, integrations, data, memory, signals, decisioning, observability, and multi-channel engagement. - Shape the Horizon product: Surface platform gaps through hands-on implementation and work with product and engineering to define Horizon’s architecture and roadmap. - Create a clean path beyond the POC: Once a solution is validated, translate what you built into durable product capabilities and enable a successful handoff for continued deployment. WHAT YOU’LL BRING - Experience building and scaling end-to-end production systems. - Strong platform and systems engineering fundamentals. - The ability to move between customer problems, product design, and technical implementation. - Strong technical judgment in ambiguous, fast-changing environments. - A builder’s mindset and the ability to take products from zero to one. - Comfort working directly with customers and understanding complex business processes. - High agency, adaptability, and clear communication. - At least two years of professional software engineering experience - Experience with Python, TypeScript, or Go and React. EVEN BETTER... - Experience as a founder, founding engineer, or early engineer at a startup. - Experience building workflow, orchestration, event-driven, or distributed systems. - Experience developing platforms or reusable infrastructure for other engineers. - Experience building or deploying AI and LLM-powered products. - Familiarity with enterprise integrations, APIs, data pipelines, and systems of record. - Experience working in complex industries such as financial services or healthcare. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Forward Deployed Engineering is Baseten’s swat team. We’re deeply technical, great with customers and fast, and we make the platform better with everything we learn in the field. FDEs take on the hardest inference problems for our most strategic customers: novel architectures, extreme scale, tight latency budgets. Then we turn those solutions into a platform no one can match. We’re scaling the team quickly. We need someone to build the operating system that lets a fast-growing team of engineers stay focused on hard problems instead of coordination. This is a high-visibility role with direct exposure to our largest customers and to company leadership. You’ll shape how a new kind of engineering team operates in the AI industry. RESPONSIBILITIES - Run the priority account cadence. Own the operating rhythm for our top accounts: daily hot-account check-ins, the weekly “forest view” review with leadership, and the account list itself with Sales leadership. Goal: zero surprise escalations to our execs. - Make the bridges work. Our FDE team connects to SA and Sales, Product, engineering (inference, infra), capacity and on-call. You’ll make sure each connection has a clear owner, cadence and SLA, with no hand-offs falling through the cracks: - Account transitions between solution architect and FDE, with exit criteria and runbooks - Non-P0 escalations to engineering teams, tracked and burned down weekly - Customer patterns and gaps flowing into the product roadmap - Drive cross-team programs for our largest customers. Coordinate multi-team efforts such as dedicated-capacity rollouts, cluster migrations, capacity reservations and large customer launches. Bring together various teams so these run on a plan, not on heroics. - Reduce toil and protect platform time. Track where engineering time goes: incidents another team owns, manual routing and config changes, after-hours pages. Work with engineering leads to remove the biggest sources of obstacles, so FDEs keep 30% of their time for shaping the platform. - Own the metrics. Build and report the metrics scorecard (account health, response times, toil, load per engineer, team health) to leadership. - Help us scale the team. Drive programs like new-hire enablement and certification, account load balancing, and run book coverage. Partner with Recruiting on hiring operations as we grow. - Manage risk and dependencies. Maintain a clear-eyed view of cross-team dependencies and risks; surface them early, drive mitigation, and keep leadership informed with honest, signal-rich updates. - Communicate up, down, and across. Translate between deeply technical teams and senior leadership. Run effective program reviews and write the kind of crisp statuses that let busy people make fast decisions. REQUIREMENTS - 5+ years as a TPM (or engineer turned TPM) on infrastructure, cloud or customer-facing technical programs - Technical depth: you’re comfortable with ML Infra systems, Kubernetes, GPUs and distributed systems, and can follow an incident channel or a design doc without a translator. Experience with LLM inference is a strong plus. - You’ve run programs across many teams at once and kept them moving without formal authority - Calm in the middle of an escalation: you bring structure to chaos and close the loop - You write clearly and concisely, for engineers and for execs - High ownership, and you’d rather fix the process than work around it NICE-TO-HAVES - Experience working on AI / ML Infra stack. - Background in solutions engineering, SRE or forward-deployed teams WHAT SUCCESS LOOKS LIKE - In your first few months, you'll have taken ownership of one or more in-flight programs, established the operating rhythm they were missing, and built the trust that makes teams want you in the room. - Within a year, the programs you run are the ones leadership doesn't worry about, because the structure is clear, the risks are visible early, and the follow-ups always close. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every dollar Anthropic earns and every dollar it spends on compute has to reach the books correctly, and the volume grows with Claude usage. That data comes from across the company and from partners: usage and billing, compute, infrastructure assets, leases. Products and pricing models keep launching, and each one adds another path into the books. Our goal is a continuous close with zero material issues, with audit-grade controls. You’ll build the platform that gets us there: one front door for every finance event, an append-only ledger, and an accounting engine that posts each event exactly once. This is a distributed systems problem with an unusually high correctness bar. The system has to be right to the cent, replay cleanly and explain any number as of any date, at that volume. You will shape its architecture. Its users include Claude agents, which read and write through the same APIs and controls as people. You’ll work closely with SWEs in Billing, Compute and Infra on shared contracts and APIs, and with product owners, finance operations and internal audit to turn accounting and controls requirements into designs. You don’t need a finance background. If you have built backend systems where correctness matters, we will teach you the domain. Responsibilities Design and build the front door into finance and its governed contracts: APIs for apps and agents, an event bus for systems that publish, adapters for vendor apps and reports, data-quality gates, and processing that posts every event exactly once, with replay and backfill Drive the build of the accounting ledger and engine: an append-only ledger with idempotent posting, a rules framework that turns business events into journal entries, translation into the ERP, and period locks Design and build the SDKs and frameworks that finance apps and agents build on Build controls into the platform as code: immutable audit trail, maker-checker, scoped access and segregation of duties Build and run the production services that other engineering teams call in real time, such as the tax and collections services in the billing flow, and own their reliability: uptime, latency, throughput and correctness targets agreed with those teams Shape the platform’s technical direction: architecture, engineering standards and design reviews Minimum qualifications Strong backend engineering in a statically typed language such as Go, Java or Rust, or Python at scale Experience designing and running high-volume, event-driven systems (publish/subscribe, streaming) with idempotent processing, replay and backfill Experience designing relational data models and writing SQL for complex, versioned data Experience designing APIs, SDKs and service-to-service integrations used by other teams Experience building systems with auditability, access control or compliance requirements Experience turning requirements from non-engineering partners into technical designs Strong written and verbal communication, including design docs Preferred qualifications 10+ years of experience Experience building developer platforms or paved paths Experience with streaming systems such as Pub/Sub or Kafka Experience building with LLMs and agents, including MCP Built a ledger, sub-ledger, billing or payments system Familiarity with accounting concepts: double-entry, journal entries Familiarity with internal controls and audit concepts: audit trails, segregation of duties, change management Exposure to ERP or financial systems, such as Workday Financials The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. OUR MISSION Build and scale the logistics capabilities that enable Mistral AI to deploy, operate and expand high-density compute infrastructure reliably. Own the flow, custody, traceability and readiness of high-value hardware, critical spares and associated materials - from supplier dispatch through site receipt, storage, deployment, repair and end-of-life disposition. Deliver speed without compromising safety, inventory integrity, security or cost control. OPERATING CONTEXT & ACCOUNTABILITY You will coordinate closely with Data Center Operations, IT Operations, deployment teams, Procurement, Finance, Security, Safety, colocation operators, carriers and OEM service partners. The role owns Mistral logistics processes and supplier performance. KEY RESPONSIBILITIES - DEPLOYMENT LOGISTICS AND SITE READINESS - Plan inbound and outbound movements for accelerator servers, racks, networking equipment, CDUs, replacement parts, tooling and deployment consumables across sites and staging locations. - Translate deployment schedules and bill-of-materials requirements into shipment plans, delivery windows, site receiving capacity, material availability and clear responsibility assignments. - Coordinate with business partners and site teams on loading bays, access approvals, delivery routes, floor loading, rack handling, lift plans, packaging removal, temporary storage and installation sequencing. - Identify logistics dependencies that could delay energization, commissioning, rack acceptance or compute availability; maintain escalation paths, contingency plans and recovery actions. - Create consistent procedures for goods receipt, inspection, damage recording, quarantine, staging, pick/pack, handover and proof of delivery, including exceptions and nonconformances. - Manage reverse logistics for defective equipment, repair exchanges, warranty returns, redeployments and end-of-life assets, with documented chain of custody and secure disposition. KEY RESPONSIBILITIES - INVENTORY, SPARES AND ASSET TRACEABILITY - Define and maintain an accurate inventory and asset-control framework for Mistral-owned equipment, including serialized items, location, ownership, status, movement history and reconciliation with IT asset records. - Set and monitor critical spare-parts policies with IT Operations and OEM partners: minimum/maximum stock, lead times, failure demand, replenishment triggers, shelf-life and obsolescence exposure. - Establish auditable stock movements, cycle counts, physical inventories, discrepancy investigations and controls for high-value or sensitive components. - Monitor stock health, aging, availability, stranded inventory, shrinkage and repair turnaround; use evidence to optimize local versus regional stocking decisions. - Coordinate secure storage conditions, ESD-sensitive handling, environmental requirements, battery transport/storage rules where applicable, and restricted access to valuable hardware. - Develop common inventory taxonomy, operating procedures and system integrations to support growth across sites, providers and countries. KEY RESPONSIBILITIES - SUPPLIER, TRANSPORT AND COMMERCIAL PERFORMANCE - Oversee third-party logistics providers, freight forwarders, warehouses, specialist rigging partners and couriers against agreed service levels, security controls and escalation requirements. - Work with Procurement and Legal on supplier selection, scopes of work, insurance, liability, transport terms and measurable performance expectations. - Coordinate cross-border shipping requirements with qualified customs and trade-compliance specialists, including import/export documentation, duties, restricted goods and relevant sanctions/export controls. - Monitor freight, warehousing, handling, repair and expedite costs; challenge avoidable spend while protecting deployment dates and service restoration capability. - Lead supplier performance reviews, delivery-failure investigations and corrective action follow-up; develop alternative routes and providers for critical supply chains. - Maintain reliable forecasting and reporting of expected arrivals, shortages, inventory exposure, blocked shipments, deployment readiness and outstanding returns. KEY RESPONSIBILITIES - SAFETY, RESILIENCE AND CROSS-FUNCTIONAL EXECUTION - Partner with Safety and site teams to assess high-risk material handling, rack moves, lifting/rigging, traffic management and contractor interfaces; verify that required plans and competent resources are in place. - Coordinate physical-security requirements, access permissions, tamper evidence and chain of custody for sensitive or high-value technology. - Develop practical business-continuity plans for shipment disruption, customs holds, supplier shortages, loss or damage in transit, and urgent hardware replacement needs. - Work with IT Operations and OEM service partners to prioritize material flows during incidents and reduce mean time to restore affected compute capacity. - Create clear operating rhythms and decision records across engineering, deployment, site teams and suppliers; escalate risks early and close actions with evidence. TEAM LEADERSHIP & ORGANIZATIONAL DEVELOPMENT - Build, lead, and scale the team across regions, aligning organizational capabilities, staffing levels, and resources with Mistral AI’s growth trajectory and operational requirements. - Supervise, coordinate, and support team members, ensuring clear accountability, effective collaboration, and consistent execution of responsibilities. - Define the organizational structure, roles, responsibilities, and resource allocation required to support current operations and future expansion. Recruit, onboard, develop, and retain high-performing professionals, ensuring the team possesses the technical expertise and capabilities required to meet business objectives. - Establish clear performance expectations, measurable objectives, and development plans; conduct regular performance reviews and provide constructive feedback and coaching. - Drive standardization of processes, procedures, and best practices across regions while accommodating local operational and regulatory requirements. - Foster a culture of ownership, accountability, continuous improvement, knowledge sharing, and operational excellence. Collaborate with cross-functional leaders to anticipate resource requirements, address organizational gaps, and ensure effective coordination across teams. - Develop succession plans and strengthen internal capabilities to support organizational resilience and long-term scalability. - Manage team priorities, workload distribution, and resource planning, ensuring effective execution while maintaining quality, safety, and operational efficiency. WHAT SUCCESS LOOKS LIKE - Critical hardware and materials arrive complete, traceable, secure and ready for deployment when needed. - Inventory accuracy is consistently high, with timely reconciliation and documented custody for valuable assets. - Critical spare parts are available according to risk-based targets, reducing restoration delays and avoidable downtime. - Logistics exceptions, shipment damage, deployment blockers and supplier failures are identified early and resolved with measurable corrective actions. - Logistics processes scale across new sites without sacrificing safety, compliance, cost discipline or execution speed. MINIMUM QUALIFICATIONS - At least 5 years of relevant experience in logistics, supply chain, warehouse operations, hardware deployment or inventory management in a complex technical environment. - Hands-on experience coordinating high-value equipment shipments, third-party service providers, site receiving, stock controls and reverse logistics. - Ability to establish auditable inventory processes, analyze operational data, manage exceptions and deliver against demanding deployment timelines. - Working knowledge of transport, handling and workplace safety requirements; ability to engage relevant specialists on customs and international trade compliance. - Strong cross-functional communication, supplier management and problem-solving skills; professional English and willingness to travel to operational sites. PREFERRED QUALIFICATIONS - Experience supporting data centers, AI/HPC infrastructure, hyperscale hardware deployments, enterprise IT logistics or complex industrial equipment. - Familiarity with serialized GPU/server assets, rack-scale systems, networking equipment, specialist lifting and ESD-sensitive components. - Experience implementing warehouse management, enterprise resource planning or IT asset-management systems and inventory dashboards. - Experience with international shipping, freight forwarding, customs interfaces, repair/RMA workflows and multi-site critical spares strategies. - Experience improving supplier performance, stock availability, forecast accuracy and logistics cost-to-serve. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Metn, Lebanon Role Overview At Toters, we are on a mission to be the heartbeat of local economies, driving growth by connecting people with anything they need, fast. We believe in turning big ideas into real-world impact, empowering local businesses and making everyday life easier for our customers. As our warehouse operations continue to grow across Toters Fresh and Trade, we are looking for an HR Business Partner (HRBP) to provide dedicated HR partnership to warehouse operations across an assigned region (North or South). This role will work closely with regional Operations leaders and warehouse managers to translate business priorities into practical people plans, strengthen employee relations and retention, and ensure consistent HR practices across multiple sites. It combines hands-on operational support with a proactive focus on workforce planning, performance, engagement, and organizational effectiveness. Key Responsibilities Regional Business Partnership & Workforce Planning Act as the primary HR counterpart for Operations leaders and warehouse managers across the assigned region, building trusted relationships and providing practical guidance on people matters. Partner with Operations to forecast staffing needs, prioritize vacancies, and plan workforce deployment in line with warehouse openings, business volumes, turnover, and budgeted headcount. Review workforce trends and operational feedback to identify people risks, capacity gaps, and opportunities to improve how HR support is delivered across the region. Recruitment & Employee Lifecycle Partner with Recruitment and Operations to deliver timely hiring for warehouse roles, including high-volume recruitment, interview coordination, open recruitment days, and referral initiatives. Ensure onboarding, transfers between branches, probation follow-up, and offboarding are completed consistently and in coordination with the relevant HR and Operations teams. Monitor hiring progress and staffing gaps, follow up on delays, and escalate risks that could affect warehouse readiness or business continuity. Employee Relations & Manager Support Advise managers on day-to-day employee relations matters, including attendance, conduct, grievances, conflict, performance concerns, and policy application. Handle employee cases fairly, confidentially, and consistently; maintain appropriate documentation and escalate sensitive or high-risk matters when required. Maintain regular on-site presence across the assigned warehouse network to understand employee concerns, coach managers, and support timely issue resolution. Performance, Engagement & Retention Drive timely probation reviews, performance follow-up, and improvement plans in partnership with managers and the wider HR team. Monitor turnover, absenteeism, employee feedback, and exit insights to identify root causes and recommend practical retention actions. Support the implementation of employee recognition, development, engagement, and career-growth initiatives suited to warehouse employees and operational needs. HR Operations, Compliance & Reporting Work with HR Operations and warehouse managers to validate attendance, overtime, time deviations, leave, and other payroll inputs, ensuring discrepancies are resolved before payroll deadlines. Follow up on required employee documentation, NSSF enrollment, joining and leaving records, and other applicable compliance requirements in coordination with the relevant HR owners. Track and report regional indicators such as headcount, vacancies, time to fill, turnover, absenteeism, employee cases, probation outcomes, and payroll exceptions; use findings to drive action. What We're Looking For At least 5 years of progressive HR experience, preferably in an HR Business Partner or HR Generalist role supporting operational teams. Bachelor’s degree in Human Resources, Business Administration, or a related field is preferred. Experience in a multi-site, high-volume, or operations-intensive environment such as logistics, retail, food and beverage, warehousing, or a similar industry is an advantage. Practical experience in employee relations, manager coaching, recruitment, performance management, and employee lifecycle processes. Working knowledge of Lebanese employment requirements and NSSF-related processes, with the judgment to seek specialist advice when needed. Strong analytical skills and confidence using workforce data to identify trends, explain risks, and recommend actions. Excellent communication, relationship-building, influencing, and problem-solving skills, including the ability to handle sensitive matters with discretion. Ability to balance strategic priorities with hands-on execution, manage competing deadlines, and follow through on commitments. Willingness to travel regularly between warehouse sites in the assigned region. What Sets This Role Apart Direct ownership of the people agenda for a regional warehouse network within a fast-growing business. Opportunity to influence business decisions through workforce insights and close partnership with Operations. A hands-on role that connects employee experience with day-to-day operational performance. Opportunity to strengthen consistency, accountability, retention, and manager capability across multiple sites.

Location: Brazil; Argentina; Colombia; Mexico; Chile; Costa Rica Subject Matter Expert - Infrastructure as Code & DevOps Automation Position Summary We seek an experienced IT Automation Specialist to lead infrastructure automation initiatives across our enterprise environment. As a subject matter expert, you will design, implement, and maintain scalable automation solutions using industry-leading tools including Terraform, OpenTofu, Ansible, AWX/Tower, and advanced DevOps platforms. This role combines hands-on technical expertise with strategic thinking to drive infrastructure modernization and operational efficiency. Key Responsibilities Design and implement Infrastructure as Code (IaC) solutions using Terraform and OpenTofu for cloud and on-premises infrastructure provisioning Develop and maintain Ansible playbooks and roles for configuration management, application deployment, and system patching across heterogeneous environments Architect and optimize Ansible Tower/AWX implementations for enterprise-scale automation, including RBAC, credential management, and workflow orchestration Lead adoption of agentic AI capabilities to automate decision-making processes and reduce manual operational overhead Establish the best automation practices, standards, and frameworks; conduct code reviews for infrastructure automation projects Troubleshoot and resolve complex automation issues; provide technical documentation for knowledge transfer to other teams Integrate automation solutions with CI/CD pipelines, monitoring systems, and ticketing platforms Document technical architecture, runbooks, and operational procedures for all automation systems Evaluate and recommend new automation tools and technologies that improve efficiency and reduce operational risk Collaborate with cross-functional teams (Cloud, Infrastructure, Security) to embed automation across IT operations Requirements Required Qualifications 5+ years of IT infrastructure and systems administration experience Expert-level proficiency with Terraform and/or OpenTofu; demonstrated ability to manage complex infrastructure states Advanced expertise in Ansible; proven experience in designing and maintaining Ansible Tower or AWX in production environments Strong Python programming skills; ability to write custom modules, plugins, and automation scripts Deep understanding of DevOps principles, CI/CD pipelines, and infrastructure-as-code best practices Experience with public cloud platforms (Azure, GCP) and hybrid/on-premises infrastructure Knowledge of version control systems (Git) and collaborative development workflows Strong troubleshooting and problem-solving abilities with demonstrated experience resolving production incidents Excellent communication skills; ability to translate complex technical concepts for non-technical stakeholders Bachelor's degree in Computer Science, Information Technology, or equivalent professional experience Preferred Qualifications Hands-on experience implementing and managing agentic AI solutions for IT operations automation Experience with advanced Ansible Tower features (workflows, dynamic inventory, LDAP/SAML integration) Familiarity with configuration management databases (CMDB) and ServiceNow integrations Knowledge of GitOps methodologies and tools (ArgoCD, Flux) Certifications such as HashiCorp Certified Terraform Associate, Ansible Specialist, or equivalent cloud/infrastructure certifications Open-source project contributions or demonstrated thought leadership in the infrastructure automation community Technical Skills Matrix IaC: Terraform, OpenTofu, CloudFormation | Expert Config Management: Ansible, Ansible Tower, AWX | Expert Agentic AI: LLM orchestration, AI-driven automation, prompt engineering | Intermediate+ Languages: Python, Bash, Go, HCL, PowerShell | Advanced Cloud: AWS, Azure, GCP, hybrid infrastructure | Advanced Languages: Python, Bash, Go, HCL, PowerShell | Advanced Why This Role Matters Automation is at the heart of our IT modernization strategy. In this role, you'll drive repeatability, reduce manual toil, and enable self-service capabilities across our infrastructure. You'll work with cutting-edge technologies including emerging agentic AI solutions, and your expertise will directly impact how efficiently we deliver infrastructure services to our clients. Equal Opportunity Statement We are an equal opportunity employer committed to fostering an inclusive, supportive workplace free from discrimination. We celebrate diversity and are dedicated to creating an environment where all employees feel valued and respected

Location: Brussels, Belgium We currently have a vacancy for a Database Analytics Engineer fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site. Tasks: Design and develop scalable, reliable data transformation pipelines and workflows; Optimise the performance and execution times of dbt projects; Design, implement, and document data quality checks and control tests using dbt capabilities; Establish automated regression testing and validation procedures to ensure pipeline output quality and consistency; Promote and share best practices for maintaining, managing, and evolving dbt projects across the team; Analyse business requirements and translate business analysis documentation into robust, operational data transformation pipelines. Requirements University degree in Computer Science, Information Technology, Systems Engineering. or relevant discipline, combined with minimum 12 years of relevant working experience in IT; Hands-on experience with dbt, preferably dbt Core, for designing, maintaining, testing, documenting, and extending production-grade analytics transformation projects; Experience in analytics engineering and modern data modelling, including layered architectures, reusable macros, data quality controls, and CI/CD practices; Experience developing PySpark transformation scripts for large-scale data processing, while Spark job optimisation would be an asset; Hands-on experience with Apache Iceberg, including partition and schema evolution, snapshot management, and time travel; Experience with job orchestration and scheduling tools, such as Dagster, for managing dbt and Spark workloads; Strong knowledge of SAS-based ETL and legacy codebases; experience migrating SAS workflows to dbt is a strong asset; Excellent SQL skills, including complex transformations, performance optimisation, and incremental processing; Good understanding of Apache Spark execution, partitioning strategies, file layout optimisation, and performance tuning; Strong knowledge of data validation, reconciliation, and testing to ensure functional equivalence when migrating legacy systems to dbt and PySpark; Knowledge of version control and collaborative development practices, including Git, code reviews, release management, and automated deployment pipelines; Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (159096/11/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Location: Brussels, Belgium We currently have a vacancy for a Database Analytics Engineer fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site. Tasks: Design and develop scalable, reliable data transformation pipelines and workflows; Optimise the performance and execution times of dbt projects; Design, implement, and document data quality checks and control tests using dbt capabilities; Establish automated regression testing and validation procedures to ensure pipeline output quality and consistency; Promote and share best practices for maintaining, managing, and evolving dbt projects across the team; Analyse business requirements and translate business analysis documentation into robust, operational data transformation pipelines. Requirements University degree in Computer Science, Information Technology, Systems Engineering. or relevant discipline, combined with minimum 12 years of relevant working experience in IT; Hands-on experience with dbt, preferably dbt Core, for designing, maintaining, testing, documenting, and extending production-grade analytics transformation projects; Experience in analytics engineering and modern data modelling, including layered architectures, reusable macros, data quality controls, and CI/CD practices; Experience developing PySpark transformation scripts for large-scale data processing, while Spark job optimisation would be an asset; Hands-on experience with Apache Iceberg, including partition and schema evolution, snapshot management, and time travel; Experience with job orchestration and scheduling tools, such as Dagster, for managing dbt and Spark workloads; Strong knowledge of SAS-based ETL and legacy codebases; experience migrating SAS workflows to dbt is a strong asset; Excellent SQL skills, including complex transformations, performance optimisation, and incremental processing; Good understanding of Apache Spark execution, partitioning strategies, file layout optimisation, and performance tuning; Strong knowledge of data validation, reconciliation, and testing to ensure functional equivalence when migrating legacy systems to dbt and PySpark; Knowledge of version control and collaborative development practices, including Git, code reviews, release management, and automated deployment pipelines; Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (159096/11/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As the Senior Manager, Solutions Architecture - at GitLab, you'll manage a distributed team of Solutions Architects working with customers across AMER. In this player-coach role, you'll guide technical strategy across complex sales motions while also stepping directly into high-impact opportunities to help your team secure technical wins and build customer confidence in GitLab's platform approach. At GitLab, we work at the intersection of technical sales strategy, team development, and operational scale, and you'll help translate customer requirements into clear business outcomes. You'll partner closely with regional go-to-market counterparts and cross-functional teams including Sales, Channel, Marketing, Sales Enablement, Product Management, and the global Solutions Architecture team. In our all-remote environment, you'll help shape how we grow the Solutions Architecture organization across the region by building strong operating rhythms, strengthening executive relationships, and creating the conditions for your team to do their best work. This role suits someone who combines technical depth, strong judgment, and a hands-on approach to winning business and scaling teams. Some of the types of projects you'll work on: Running technical evaluations, executive workshops, demos, and proof-of-concept engagements that help customers map GitLab's DevSecOps platform to their business goals What you’ll do Manage a team of intermediate and senior Solutions Architects across AMER setting clear direction and enabling high-quality execution across the region. Act as a player-coach by partnering directly on strategic opportunities, building executive relationships, and coaching your team through complex sales cycles to help secure the technical win. Guide regional strategy for technical evaluations, workshops, demonstrations, and proof-of-concept engagements, ensuring customer needs are translated into meaningful technical and business outcomes. Work cross-functionally with global Solutions Architecture, Sales, Channel, Marketing, Sales Enablement, and Product Management to align on priorities and execute against regional goals. Manage dotted-line relationships with Channel Solutions Architects and subject matter experts, driving accountability, collaboration, and alignment around common goals. Maintain strong operational discipline across workload planning, resource allocation, headcount planning, opportunity forecasting, and field execution. Define and track key performance indicators for the team, communicating progress, risks, and priorities clearly to your team, peers, and senior stakeholders. Hire, develop, and retain high-performing Solutions Architects while strengthening team capability, encouraging innovation, and building a scalable regional organization for future growth. What you’ll bring Strong background in solution architecture or comparable practical experience, with the ability to relate technical depth to customer business value and apply transferable experience from adjacent domains while learning GitLab and related tools. Proven success developing, mentoring, and scaling Solutions Architecture practices or similar customer-facing technical organizations in growing businesses. Strong communication and technical presentation skills, with the ability to engage effectively across cultures and with both technical and business stakeholders. Demonstrated business acumen and sound judgment, balancing technical excellence with commercial outcomes and regional priorities. Track record of influencing cross-functional stakeholders and building strong partnerships across Sales, Channel, Marketing, Enablement, Product, and other senior stakeholder groups. Experience building inclusive, high-performing teams and creating clear, accountable operating practices in a distributed or remote environment. Ability to travel at least 25% How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: USA Workplace: Remote Solvd Inc. is a technology services company that helps enterprises build and scale with AI. We operate through three business units: Core AI, Cloud, and Agentic Engineering. Together, they bring deep engineering expertise and an outcome-first mindset to help clients reimagine how they build, operate, and grow, turning the promise of AI into real, measurable business impact. We are looking for a self-driven, entrepreneurial sales hunter to expand Solvd's client base with new enterprise logos. You will stay ahead of market and technology trends, understand the challenges and priorities of our target customers, and translate them into opportunities that drive real business outcomes. You will generate pipeline through every available channel, including marketing-led campaigns, industry conferences and events, technology and alliance partnerships, and targeted outreach. You will own each opportunity strategically from first conversation through contract signature. That means building a deep understanding of customer needs, articulating Solvd's value proposition with clarity and conviction, and bringing together the right internal teams to shape outcome-driven solutions. Success in this role is measured not only by deals won, but by clients who see value early and become long-term partners. WHAT YOU'LL DO New Logo Prospecting and Pipeline Generation - Identify, target, and engage new enterprise and upper mid-market clients across priority industries. - Generate pipeline through all channels: outbound prospecting, marketing campaigns, account-based marketing, conferences, industry events, and partner ecosystems (hyperscalers, AI platform providers, and technology partners). - Build and execute a disciplined target account plan grounded in market research and customer insight. End-to-End Deal Ownership - Own the full sales cycle: discovery, qualification, proposal, pricing, negotiation, and closure. - Engage senior stakeholders (C Level execs and line-of-business leaders) and build trusted relationships across the buying group. - Sell on value, connecting Solvd's capabilities across AI, agentic engineering, digital, data, and cloud to the client's business priorities and measurable outcomes. - Lead the commercial process, including MSAs, SOWs, procurement, and legal discussions, in partnership with internal finance and legal teams. Customer Relationships and Thought Leadership - Build strong, trusted relationships with client stakeholders, acting as their advocate within Solvd. - Share Solvd's point of view on AI, agentic engineering, and digital transformation with customers and prospects. - Represent Solvd at industry conferences, events, and forums, strengthening brand presence and converting conversations into qualified opportunities. - Bring market and customer insights back to internal leaders, sharing a clear point of view on market trends, competitive dynamics, and emerging demand. Cross-Functional Collaboration - Partner with solution architects, delivery leaders, and practice teams across Agentic Engineering to ensure outcome-driven solutioning. - Work with Engineering teams to shape and build service offerings that meet evolving customer requirements. - Collaborate with Marketing on campaigns, account-based marketing, and event strategy to drive targeted demand. - Work with alliance and partnership teams to co-sell and build joint pipeline. Sales Discipline and Forecasting - Maintain strong CRM discipline, keeping all opportunities, activities, and forecasts accurate and up to date. - Provide reliable pipeline reviews and quarterly forecasts to leadership. Account Ownership and Transition - Own each new account for six months after closure, ensuring a successful delivery start and customer delight. - Identify early expansion opportunities and grow the initial engagement where possible. - Execute a structured handoff to the assigned Client Partner, including account plan, stakeholder map, and growth opportunities. WHAT YOU BRING - 10+ years of B2B sales experience in IT services, digital engineering, or consulting, with at least 6 years in a new logo (hunter) role. - Proven track record of consistently meeting or exceeding $3M to $4M annual new business quotas. - Demonstrated success closing services deals of $1M to $3M+ with enterprise clients. - Experience selling to C-level and senior technology and business leaders. - Deep domain knowledge of one or more target industries (e.g., insurance, financial services, healthcare, retail, travel and hospitality). - Solid understanding of AI, digital, data, and cloud services and the ability to discuss them credibly with clients. - Experience negotiating MSAs, SOWs, and commercial terms. - Exposure to Agentic Engineering and COTS (commercial off-the-shelf) products is strongly preferred. PREFERRED - Experience selling Digital, Modernization, Generative AI, or agentic solutions. - Established relationships with leading COTS (Salesforce, Adobe, ServiceNow, Shopify etc) or AI platform partners. - Familiarity with structured sales methodologies such as MEDDICC, Challenger, or Solution Selling. - Proficiency with Salesforce or similar CRM platforms. WHAT SUCCESS LOOKS LIKE Success in this role will be measured against three primary KPIs: 1. New Logo Bookings - Target: $2 million in Year 1; $3 million annually from Year 2 onward. - Measurement: Total signed contract value (bookings) from new logos closed within the fiscal year. 2. New Logo Acquisition - Target: At least one new logo per quarter, totaling four or more annually. - Measurement: New clients with a signed MSA and first SOW or purchase order, with no Solvd revenue in the prior 24 months. 3. Qualified Pipeline Coverage - Target: Maintain qualified pipeline at 3× the annual bookings target—$6 million in Year 1 and $9 million from Year 2 onward. - Measurement: Value of opportunities in the CRM that meet agreed qualification criteria, such as MEDDICC, reviewed monthly. SUPPORTING PERFORMANCE INDICATORS The following indicators will be reviewed quarterly: - Win rate: Achieve a win rate of 25% or higher on qualified opportunities. - Account handoff quality: Support client satisfaction and account growth during the six-month ownership period, with a documented handoff to the Client Partner. - Forecast accuracy: Maintain quarterly bookings forecasts within ±10% of committed bookings. YOUR FIRST YEAR - First 90 days: Build a target account plan, engage marketing and partner channels, and develop $3M+ of qualified pipeline. - First 6 months: Close the first new logo and reach full 3x pipeline coverage. - First 12 months: Deliver $2M in net new revenue and 4+ new logos, with each account successfully transitioned to a Client Partner. WHAT WE OFFER - Competitive base salary plus a compelling commission plan. - Comprehensive benefits, including health, dental, and vision insurance, a 401(k) plan, and paid time off. - The opportunity to build a book of business in one of the fastest-growing areas of technology. - Direct access to leadership and a collaborative, entrepreneurial culture. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Paris Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Our mission Build and lead a practical, high-trust health and safety program for Mistral AI’s rapidly expanding data center operations. You will protect employees, contractors and visitors while enabling safe deployment and operation of increasingly dense AI compute infrastructure across colocation sites. You will turn complex operational risks into clear standards, effective controls and measurable improvements. Operating context & accountability You will be the safety partner to Data Center Operations, IT Operations, infrastructure delivery, Security, Legal and People teams, and work directly with colocation operators, installation contractors and OEM service partners. Your remit spans live sites, deployment projects, commissioning and transitions into operations. You will ensure that safety responsibilities are clearly defined and that Mistral-controlled activities meet applicable requirements while challenging partner performance where shared interfaces create risk. Key responsibilities - safety management and compliance - Own the operational health and safety management framework for the data center portfolio: policy, critical-risk standards, annual objectives, assurance calendar, risk registers, incident classifications, documentation and management reporting. - Interpret applicable occupational health and safety requirements with local specialists; translate them into site-level expectations, control plans and auditable evidence across different countries. - Lead regular risk assessments, inspections and assurance reviews; prioritize findings by severity and exposure, assign owners and verify corrective actions have actually reduced risk. - Create consistent arrangements for site access, inductions, competency checks, contractor onboarding, safety briefings and refresher training, including evidence of completion. - Develop meaningful leading and lagging indicators, including high-potential near misses, overdue critical actions, training coverage, contractor observations and incident trends; present clear recommendations to leadership. - Support supplier selection and contract reviews by defining appropriate safety requirements, escalation expectations and minimum standards for colocation and technical service partners. Key responsibilities - operational and technical risk - Provide safety oversight for electrical work interfaces, energized equipment, isolation and lockout/tagout, switching coordination, arc-flash exposure and simultaneous activities in live data halls. - Assess safe systems of work for heavy rack deliveries, lifting and rigging, material handling, battery systems, working at height, temporary works, confined spaces where relevant and high-density IT installation. - Review method statements, risk assessments, permits to work and job safety analyses for high-risk activities, ensuring that scope, boundaries, competence, emergency arrangements and hold points are understood. - Partner with engineering teams on the risks introduced by direct-to-chip liquid cooling, CDUs, coolant handling, pressurized circuits, leak detection, hot surfaces and changing rack densities. - Participate in readiness reviews before energization, commissioning, major deployments and changes in operating configuration; confirm critical safety issues are resolved or escalated before work proceeds. - Coordinate emergency planning and drills with colocation operators and emergency responders for fire, evacuation, electrical incidents, coolant leaks, medical emergencies and loss of critical infrastructure. Key responsibilities - investigations and culture - Lead or coordinate investigations of incidents, unsafe conditions and high-potential near misses involving Mistral activities; use structured causal analysis and share actionable learning across the portfolio. - Challenge the completeness and quality of provider or contractor investigations when Mistral personnel or equipment may be exposed; track preventive measures through verification. - Coach engineers, managers and vendors to identify hazards early, stop unsafe Mistral-controlled work and raise concerns without hesitation. - Build strong partnerships with operations, construction, logistics, physical security, compliance and HR; communicate safety expectations clearly in written guidance, training and site discussions. - Provide practical support to other regions during major incidents, rapid expansion or unusual operational risk. What success looks like - Critical activities are governed by clear, adopted controls and a consistent standard across sites. - High-severity findings are visible, owned and resolved; incident learning results in verified preventive action. - Site and contractor training, emergency readiness and compliance evidence are maintained and readily accessible. - The safety program scales with infrastructure growth without creating unnecessary bureaucracy. Minimum qualifications - At least 5 years of practical health and safety experience in operational, industrial, construction or mission-critical environments. - Experience implementing safety programs, contractor controls, inspections, risk assessments, investigations and training. - Working knowledge of occupational safety regulations and high-risk work controls; ability to coordinate country-specific requirements. - Strong communication and influencing skills across technical teams, suppliers and senior stakeholders; fluent professional English. - Ability to work regularly on site and travel between data center locations; valid driving licence where required for site access. Preferred qualifications - Data center, manufacturing, power infrastructure or complex construction experience involving employees and multiple contractors. - Experience with electrical safety, critical mechanical systems, commissioning and work in live operational facilities. - Recognized HSE qualification and familiarity with ISO 45001-based management systems. - Experience with international portfolios, colocation operators and high-density IT or liquid-cooled systems. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. Product Marketing and Enablement connects 1Password’s product strategy to the customer conversations that drive growth. In this Senior Staff individual contributor role, you’ll own the product-to-field motion for Enterprise Password Manager (EPM), Agentic Access—including Developer Tools—and Privileged Access, helping Account Executives (AEs), Sales Engineers (SEs), and Customer Success Managers (CSMs) connect the needs of Information Technology (IT), security, and engineering teams to the right solutions. Through clear technical storytelling, credible sales guidance, and close partnership with Product and Sales, you’ll help 1Password advance its mission to unleash employee productivity without compromising security. Reporting to the Director, Product Marketing and Enablement, this role is remote across the United States and Canada. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: • Experience bringing complex technical Business-to-Business (B2B) products, new use cases, or emerging categories to market. • Experience working in a sales-led organization with enterprise sellers, Sales Engineers, technical buyers, and complex buying cycles. • Experience building a product motion across discovery, evaluation, technical validation, purchase, and expansion. • Experience partnering across Product, Engineering, Product Marketing, Sales, and GTM Enablement, with the ability to build credibility with technical and executive audiences. • Deep fluency in identity security, Privileged Access Management (PAM), secrets management, or agentic access, along with working knowledge of developer tools and the ability to translate technical product behavior into clear customer-facing guidance. • Strong written and verbal communication skills, strategic judgment, and the ability to influence senior stakeholders while making thoughtful decisions in ambiguous environments. • Experience launching a new product, category, or sales motion in identity security, access management, developer tools, or a related technical market; using field insights, win-loss feedback, or seller research to prioritize work; or holding security certifications or equivalent technical training. What you can expect: • Own the product enablement plan for Enterprise Password Manager, Agentic Access—including Developer Tools—and Privileged Access, prioritizing readiness work based on business impact, customer needs, launches, and field evidence. • Translate Product Marketing strategy into sales motions that help IT, security, and engineering buyers secure access for developers, artificial intelligence (AI) agents, and privileged users. • Create the pitch decks, talk tracks, qualification questions, discovery guides, product training, and other field assets needed to support customer conversations from discovery through expansion. • Define how the portfolio fits into annual sales plays, including the personas to engage at each stage of the buying journey and the role of strategic technology and AI partnerships. • Act as an escalation point for strategic opportunities, join live customer conversations, support discovery and demos, and coach sellers through complex technical questions and objections. • Partner with Technical Marketing and Demo Engineering to map demos to sales plays and provide the customer, use-case, and product context needed to build credible launch and sales demonstrations. • Measure field readiness, lead win-loss analysis, identify recurring objections and adoption barriers, and bring clear recommendations to Product, Product Marketing, Sales Enablement, and senior leadership. USA-based roles only: The annual base salary for this role is between $180,000 USD and $261,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $152,000 CAD and $220,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma’s AI Insights team, within Research, is hiring a builder with exceptional design craft and deep AI fluency. You will report to Noam Segal, Director of AI Insights. You will build internal AI products that help Figmates understand our customers and their needs. These products will scale customer intimacy across Figma and inform product and business decisions. You enjoy figuring things out by making them. You own products from the first idea through design, building, evaluation, and adoption. You build primarily with AI tools and apply strong design and product judgment throughout. You ship early, improve rapidly, and hold internal experiences to the care expected of customer-facing Figma products. This is a full-time role that can be held from our New York City or San Francisco hub - or remotely in the United States. What you’ll do at Figma: Identify where Figmates need better customer understanding. Choose opportunities where an internal product can make a meaningful difference Design clear, compelling experiences that help employees find customer evidence, understand needs, and make informed decisions Use AI tools to build and ship internal products. Own the work from initial concept through launch and continued use Ship focused versions early. Improve them rapidly through feedback, actual use, and careful attention to interaction and visual details Define a high quality bar for AI behavior, evidence quality, and usability. Build evaluations that expose failures and verify improvements Partner with Research, Design, Product, Engineering, and internal users to launch products and support adoption Demonstrate what you build, explain your decisions, and share reusable tools and practices. Measure whether the products improve customer understanding We’d love to hear from you if you have: Demonstrated exceptional design craft through a background in UX or product design, with strong interaction design, visual judgment, and the ability to simplify complex workflows without sacrificing important details Build and shipped impactful products by turning ambitious ideas into working solutions using AI tools, demonstrating significant hands-on contributions, strong execution, and sustained value beyond initial prototypes Applied deep AI fluency to build sophisticated workflows that connect models, data, and tools, troubleshoot failures across prompts and integrations, and translate emerging capabilities into effective products Exercised strong product judgment by identifying unmet user needs, translating complex customer information into intuitive experiences, and making thoughtful tradeoffs across scope, quality, and speed While it’s not required, it’s an added plus if you also have: Hold an academic background in design, interaction design, or human-computer interaction Bring a track record in customer research or in building research platforms and tools that help employees explore customer evidence Align teams around product priorities, communicate a clear point of view, and drive adoption by resolving competing needs with clear tradeoffs Build evaluations based on realistic tasks to verify the accuracy, evidence quality, and usability of AI-powered products Demonstrate familiarity with Figma’s products At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $169,000 — $250,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. Product Marketing and Enablement connects 1Password’s product strategy to the customer conversations that drive growth. In this Senior Staff individual contributor role, you’ll own the product-to-field motion for Unified Access, Software as a Service (SaaS) Manager, and multi-product expansion, helping Account Executives (AEs), Sales Engineers (SEs), and Customer Success Managers (CSMs) connect the needs of Information Technology (IT), security, finance, and executive buyers to the right solutions. Through clear cross-product storytelling, sales guidance, and close partnership with Product and Sales, you’ll help 1Password advance its mission to unleash employee productivity without compromising security. Reporting to the Director, Product Marketing and Enablement, this role is remote across the United States and Canada. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers.   This is a remote opportunity within Canada and the US. What we’re looking for: • A track record of bringing complex technical Business-to-Business (B2B) products, new use cases, or emerging categories to market, with the ability to build product motions spanning discovery, evaluation, technical validation, purchase, adoption, and expansion. • Familiarity with sales-led enterprise organizations, including complex buying cycles, Account Executives (AEs), Sales Engineers (SEs), technical buyers, and multi-threaded customer opportunities. • Cross-functional leadership across Product, Engineering, Product Marketing, Sales, and Go-to-Market (GTM) Enablement, with credibility among Information Technology (IT), security, finance, and executive audiences. • Deep fluency in multi-product enterprise software, Software as a Service (SaaS) management, or platform narratives, along with working knowledge of enterprise IT, cross-sell motions, and value-based selling. • The ability to translate technical product behavior into clear enablement content that addresses customer problems, key use cases, and business value; collaborate effectively with Product and Engineering subject-matter experts; and earn the trust of SEs and technical buyers. • Strategic leadership with limited supervision, including shaping portfolio priorities, readiness roadmaps, operating practices, and measurement approaches; influencing senior leaders without formal authority; and making thoughtful trade-offs in ambiguous environments. • Strong written and verbal communication across technical, commercial, and executive audiences, including the ability to explain complex products in plain English, develop compelling narratives, maintain a clear point of view, and update recommendations when the evidence changes. You also use artificial intelligence (AI) thoughtfully to accelerate research, analysis, and content development while retaining ownership of strategy, judgment, and quality. Preferred qualifications: • Exposure to launching products, categories, or sales motions in SaaS management, enterprise platforms, cross-sell, or related markets; working with cross-functional buying groups and multi-threaded enterprise deals; using field data, call insights, win-loss feedback, or seller research to prioritize execution; or holding security certifications or equivalent technical training. What you can expect: • Own the product enablement plan for Unified Access, SaaS Manager, and multi-product expansion, prioritizing readiness work based on business impact, customer needs, launches, and field evidence. • Own the Unified Access field narrative, master deck, pitch decks, talk tracks, qualification questions, discovery guidance, and product training that help sellers tell one connected story. • Adapt the Unified Access and SaaS Manager stories for IT, security, finance, and executive buyers, translating product capabilities into clear customer and business value. • Define how the products fit into cross-sell, upmarket, and multi-product sales plays, including expansion from the Enterprise Password Manager base and strategies for multi-threading opportunities. • Act as an escalation point for strategic opportunities, join live customer conversations, support discovery and demos, and coach sellers through complex technical questions and objections. • Equip CSMs with the stories and guidance they need to drive cross-sell, adoption, and expansion across the portfolio. • Partner with Technical Marketing and Demo Engineering to map demos to sales plays, then use field feedback, win-loss analysis, and customer insights to improve product decisions, messaging, launches, and enablement.   USA-based roles only: The annual base salary for this role is between $180,000 USD and $261,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $152,000 CAD and $220,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Manager, Technical, you will own and be responsible for building a world class support experience for Anthropic's customers and the Product Support team. You will partner with Product Support Operations, AI Support, Billing, Fraud, and Product Engineering teams to build the systems that decide how Anthropic's users get unblocked when something goes wrong, and how what they report turns into product fixes, in partnership with the product teams that own the experience. Claude will be the primary operator of that support experience. Partner with Product Support Operations, AI Support, and product engineering teams to own the systems behind the support experience end to end: the path from a recurring support driver to a shipped product fix, the Claude-based AI support layer that handles most inbound volume, and the tooling that helps human agents resolve what’s left quickly and accurately. . Your north star is fewer support cases per user, and whole categories of cases eliminated, even as the product grows. The best outcome is a case that never gets opened because the product problem behind it was found and fixed. Everything in the support experience is in scope. You decide where to start. You'll define the end-to-end experience Claude delivers: diagnosing a billing failure, resolving it or escalating it, recognizing when the same failure is showing up across many customers, filing the bug with repro steps and a proposed fix, getting that to the engineering team that owns the driver, following up with the customer to confirm the issue was actually resolved, and confirming the category actually goes away once the fix ships. You will define and own the strategy and roadmap for the support-to-product feedback loop, including the escalation paths for billing, fraud, and high-visibility cases, and the metrics that show whether contact rate is falling. Responsibilities Deeply understand the needs of Product Support Operations, AI Support, Billing, Fraud, and the product engineering teams that own support drivers, from specialists handling enterprise escalations to engineers who need a support case turned into a reproducible bug they can fix. Define and iterate on the support-to-product loop: how a case is classified, how recurring drivers are surfaced in near real time with case examples and recommended fixes, how each driver gets a named owner, and how we confirm the fix decreased case volume. Own the metrics behind it:  inbound case volume by driver, drivers fixed at the root, and time from first case to shipped fix, alongside the response-time and CSAT targets Product Support Operations already runs on. Own the customer's experience of getting unblocked: how quickly a user reaches a resolution and how little friction they hit on the way, whether Claude resolves the case or hands it to a specialist. Minimize the blast radius of novel issues. New models and product changes will keep creating new drivers no one can predict; catch each one at its first reports, assess impact, and get the fix prioritized while the affected group is still small. Partner with engineering and data science to build the systems that scale with Anthropic’s growth: Claude as the first responder, the data pipeline behind driver detection, and the tooling that lets Claude hand a diagnosed case to the right team. Drive product strategy and roadmap for the in-house Claude support layer, including what Claude resolves on its own, what it escalates and to whom, and how far it goes toward filing and fixing the underlying product issue itself. Own the trade-off framework between intake reduction, response time, cost, and quality, making transparent prioritization decisions about which drivers get fixed first and communicating them clearly to Product Support and senior leadership. Build conviction about what support looks like when Claude is the primary operator, and translate that into a roadmap that gets Anthropic there ahead of the volume curve. You may be a good fit if you have 7+ years of product management experience, with deep exposure to support systems, customer operations tooling, billing or payments, or internal platforms that serve operations teams Experience taking technical platform products from infancy to scale: you've built something from the ground up and grown it to serve demanding internal or external engineering customers Track record of building products that balance the needs of multiple personas, and of making prioritization trade-offs between them and communicating them clearly Ability to internalize complex technical systems (case routing, billing and payments flows, LLM-based agents, data pipelines) and translate that understanding into a comprehensive product vision Fluent across functions: you're equally credible reading a failed-payment trace with engineers, walking a specialist through why a driver got deprioritized, and explaining intake trends to leadership A strong thesis on how AI changes support: you've thought deeply about what happens when the agent that answers the case can also diagnose, file, and fix what caused it, and you want to build that Experience scaling an LLM-based product or experience from prototype to real volume, and a clear view of what breaks on the way: quality drift, cost, latency, and user trust Scrappy and resourceful: you do what it takes to get things done in a fast-moving environment Strong candidates may have: Built or scaled the systems behind a high-volume support operation for consumer or developer products: case data pipelines, driver analytics, or LLM-based support agents. Shipped an LLM-based support or operations agent in production and understand the trust, escalation, and quality-measurement problems that come with it. Defined and operationalized contact-rate or case-deflection metrics, and a point of view on how those metrics change when the fix ships in the product instead of the help center. Scaled through hypergrowth in support-heavy environments (consumer subscriptions, developer platforms, or fintech). Experience getting product and engineering teams to own support drivers, with proven evidence of driving ownership through clear evidence and product quality. 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: $385,000 — $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. *Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle This is a rare PM role with true vertical ownership across the full product lifecycle, from early-stage research and pre-training through post-training, UX buildout, GTM strategy, and pricing. It gives the right person a GM-like mandate to drive product decisions end-to-end, in a way that’s unique for a company of our scale. We’re looking for a Product Manager to build the AI tools our customers will rely on. You have a real engineering or quantitative foundation and a track record of shipping products. You can take the state-of-the-art systems our research team builds and turn them into products that creators love. You’ll deeply understand what users want, what’s technically possible, and what’s strategic for our business. You’ll be the bridge between our users and our internal teams, so we ship our models and products with the most value for Runway’s creators. This role is a fundamental and critical part of the team at a market-defining company in its early stages. What you’ll do - Own the product strategy and roadmap for your area, from early model development through launch, pricing, and go-to-market - Partner with research to shape what gets built, translating customer needs and model capabilities into clear product requirements and priorities - Work closely with engineering and design to ship new products and continuously improve existing ones, making sound technical tradeoffs along the way - Define and analyze product metrics, run A/B tests, and use data (including your own SQL and Python analysis) to validate pain points and prioritize features - Talk with users weekly to uncover use cases and turn feedback into product decisions - Drive pricing and GTM strategy in partnership with business teams What you’ll need - 4+ years of product management experience, including taking products from zero to one - A strong technical foundation, typically demonstrated by things like the following: - A degree in a technical or quantitative field such as computer science, HCI, math, statistics, or physics - Professional experience writing code before the LLM codegen era (e.g., as a software engineer, data scientist, data analyst, or technical founder who built and bootstrapped a product) - Hands-on fluency with SQL, Python, AI code generation tools, and version control best practices - Working knowledge of current ML capabilities and products, and the ability to discuss tradeoffs with researchers and engineers - Experience in fast-moving teams, with comfort operating amid ambiguity - Excellent written and verbal communication skills Nice to have - Experience with generative AI, creative tools, or media products - Experience owning pricing or GTM for a product Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024