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Location: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is redefining what’s possible in legal work by combining cutting-edge AI with intuitive product experiences. As we scale rapidly and take on increasingly complex use cases, we’re expanding our engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us. As an Engineering Manager for AI Platform, you will lead a team of engineers building the horizontal systems that make Harvey’s AI products higher quality, faster, and more cost-efficient. This includes eval and simulation infrastructure, model routing, open-source and post-trained model serving, new-model rollouts, and the document processing systems (OCR, embeddings, retrieval, and citations) that turn any file a lawyer gives us into something Harvey can read, find, and cite. You will partner with Product, Research, and product engineering teams to turn fast-moving advances in applied AI into durable, reusable platform capabilities. You will also set the technical direction for how teams across Harvey build, test, and ship AI features. This role is equal parts technical depth and product intuition. You’ll be trusted to make fast, high-quality decisions, work at the cutting edge of applied AI, and grow a team that embodies engineering excellence. We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed. If you’re energized by ownership, decisive execution, and solving real user problems, we’d love to hear from you. WHAT YOU'LL DO - Lead and grow a team of engineers building the core AI platform that powers Harvey’s products - Define the roadmap for shared AI infrastructure, including model routing, open-source and post-trained model serving, eval and simulation infrastructure, and large-scale document processing, embeddings, retrieval, search and citation systems - Partner with Product, Research, Agent Platform, and product engineering teams to understand their needs and turn recurring patterns into reusable, well-documented platform primitives - Build and scale offline eval and simulation infrastructure so teams can measure quality, catch regressions, and ship AI changes with confidence - Drive reliability, latency, cost efficiency, and security across LLM-powered systems, including working with commercial and open-source model providers on capacity, rate limits, and new capabilities - Evaluate and rapidly adopt new models, frameworks, and techniques, and decide what to build, buy, or adopt - Contribute to code and architecture reviews, unblock teams, and lead by example when needed - Hire, grow, and retain exceptional engineers who thrive in a high-trust, high-impact environment WHAT YOU HAVE - 2+ years of experience in a tech-lead/software engineering management role leading ML/AI engineering teams, preferably in high-growth environments - 5+ years of experience as a backend, infrastructure or ML/AI engineer - A track record of leading high-performing, engaged engineering teams - Experience building and operating production systems powered by LLMs (for example agents, retrieval, tool use, or evaluation pipelines) - Experience building internal platforms or shared services that other engineering teams depend on, and partnering with cross-functional stakeholders to prioritize them - Strong backend engineering skills in modern languages and framework and familiarity with distributed systems concepts - Sound judgment on tradeoffs among quality, latency, cost, and speed of delivery in AI systems - A plus: Experience with open-source model inference and serving, large-scale document processing, search, and retrieval systems, LLM observability and eval tooling, or working directly with foundation model providers COMPENSATION $272,000 - $355,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AP1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Chicago, IL Workplace: remote Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Role Summary: The Senior Legal Solutions Engineer is the technical and domain expert on Filevine’s Enterprise and Strategic deals — the most sophisticated and highest-value opportunities in our pipeline. You will partner closely with Account Executives to position Filevine’s case management, AI, and contract management solutions to large law firms, insurance carriers, government entities, and corporate legal departments. Unlike a traditional solutions engineer who joins late in the cycle to run a demo, you will be embedded across the full sales cycle — from early discovery through to close — on Strategic accounts. You will sit in the room (often in person) with sophisticated legal buyers, diagnose how their teams actually work and where time is lost, and translate that understanding into a credible, defensible solution narrative. You will also serve as connective role between sales, product, and marketing, making sure the way Filevine talks about its products in market is grounded in how those products actually work. This is a senior, accelerated role. You will be given immediate exposure to Enterprise and Strategic deals rather than ramping through the standard SMB-to-Enterprise progression, and you will work directly with sales leadership and executives regularly. Key Responsibilities Strategic Deal Engagement Partner with Account Executives across the full sales cycle on Enterprise and Strategic opportunities — participating actively in discovery, not just demos. Assist in leading consultative discovery with sophisticated legal buyers: understand their practice, workflows, and operational pain before positioning a solution. Prepare and deliver compelling, story-driven product demonstrations tailored to each prospect’s practice area and buying committee. Translate complex product and technical concepts for both legal and technical audiences, and earn credibility with practicing attorneys and firm leadership. Research and recommend the right combination of solutions from Filevine’s suite — including LOIS — to address each customer’s needs. Influence the successful closing and win rates of strategic accounts in collaboration with the sales team. Travel frequently for on-site discovery sessions, demos, and executive meetings (see Travel & Location below). Internal Team Partnership Partner with internal teams such as sales engineers, sales, marketing, product, etc. to develop accurate talk tracks, demo flows, and use cases for product launches and campaigns — providing real-world, field-tested input that marketing collateral can anchor against. Support the Sales team — delivering product demos, producing video and live-demo content for partner referral programs, contributing to RFP responses, and representing Filevine at partner conferences and on-sites, etc. Build and maintain demo environments used for events or sales cycles. Partner with Product Management and Product Marketing on pre-launch enablement so AEs and SEs share a common anchor narrative before a release hits the market. Support the development and delivery of internal sales certifications and training programs that keep the field current on Filevine’s rapidly evolving product portfolio. Qualifications We are looking for an experienced practitioner who lives at the intersection of legal practice and technology. Candidates may have experience such as the following: A mid-level associate from a leading law firm — M&A, litigation, or capital markets — who has stayed close to legal innovation and is ready to move out of billable practice. A legal operations veteran who came up through BigLaw or has experience with in legal ops, managed services, an ALSP, or a legal-technology incumbent. An in-house lawyer who has built or co-designed internal tools, automation, or knowledge systems and is comfortable working alongside engineers and product teams. In addition, candidates should have: Demonstrated interest in and fluency with legal technology and AI — ideally evidenced by knowledge-management work, innovation projects, or thought leadership. Strong interpersonal and communication skills, including the ability to translate between technical product teams, marketing, and customer-facing audiences. Dynamic storytelling ability with a persuasive, executive-ready presentation style. A curious, consultative, problem-solving mindset and comfort operating in environments where messaging and product evolve quickly. Travel & Location This role carries a weekly travel expectation. Filevine is currently fielding one to three Enterprise/Strategic on-site requests per week, and this position exists to meet sophisticated buyers where they are — in their offices, at conferences, and at executive meetings. The possibility of weekly travel should be an expectation Compensation Information: $185,000 - $225,000+   The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package. Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite. Some roles offer a hybrid schedule of 2–3 days in-office per week     Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.

Location: San Francisco Workplace: remote Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Role Summary: The Legal Solutions Engineer is the technical and domain expert on Filevine’s Enterprise and Strategic deals — the most sophisticated and highest-value opportunities in our pipeline. You will partner closely with Account Executives to position Filevine’s case management, AI, and contract management solutions to large law firms, insurance carriers, government entities, and corporate legal departments. Unlike a traditional solutions engineer who joins late in the cycle to run a demo, you will be embedded across the full sales cycle — from early discovery through to close — on Strategic accounts. You will sit in the room (often in person) with sophisticated legal buyers, diagnose how their teams actually work and where time is lost, and translate that understanding into a credible, defensible solution narrative. You will also serve as connective role between sales, product, and marketing, making sure the way Filevine talks about its products in market is grounded in how those products actually work. This is a high-impact, accelerated role. You will be given immediate exposure to Enterprise and Strategic deals rather than ramping through the standard SMB-to-Enterprise progression, and you will work directly with sales leadership and executives regularly. Key Responsibilities Strategic Deal Engagement Partner with Account Executives across the full sales cycle on Enterprise and Strategic opportunities — participating actively in discovery, not just demos. Assist in leading consultative discovery with sophisticated legal buyers: understand their practice, workflows, and operational pain before positioning a solution. Prepare and deliver compelling, story-driven product demonstrations tailored to each prospect’s practice area and buying committee. Translate complex product and technical concepts for both legal and technical audiences, and earn credibility with practicing attorneys and firm leadership. Research and recommend the right combination of solutions from Filevine’s suite — including LOIS — to address each customer’s needs. Influence the successful closing and win rates of strategic accounts in collaboration with the sales team. Travel frequently for on-site discovery sessions, demos, and executive meetings (see Travel & Location below). Internal Team Partnership Partner with internal teams such as sales engineers, sales, marketing, product, etc. to develop accurate talk tracks, demo flows, and use cases for product launches and campaigns — providing real-world, field-tested input that marketing collateral can anchor against. Support the Sales team — delivering product demos, producing video and live-demo content for partner referral programs, contributing to RFP responses, and representing Filevine at partner conferences and on-sites, etc. Build and maintain demo environments used for events or sales cycles. Partner with Product Management and Product Marketing on pre-launch enablement so AEs and SEs share a common anchor narrative before a release hits the market. Support the development and delivery of internal sales certifications and training programs that keep the field current on Filevine’s rapidly evolving product portfolio. Qualifications We are looking for an experienced practitioner who lives at the intersection of legal practice and technology. Candidates may have experience such as the following: A mid-level associate from a leading law firm — M&A, litigation, or capital markets — who has stayed close to legal innovation and is ready to move out of billable practice. A legal operations veteran who came up through BigLaw or has experience with in legal ops, managed services, an ALSP, or a legal-technology incumbent. An in-house lawyer who has built or co-designed internal tools, automation, or knowledge systems and is comfortable working alongside engineers and product teams. In addition, candidates should have: Demonstrated interest in and fluency with legal technology and AI — ideally evidenced by knowledge-management work, innovation projects, or thought leadership. Strong interpersonal and communication skills, including the ability to translate between technical product teams, marketing, and customer-facing audiences. Dynamic storytelling ability with a persuasive, executive-ready presentation style. A curious, consultative, problem-solving mindset and comfort operating in environments where messaging and product evolve quickly. Travel & Location This role carries a weekly travel expectation. Filevine is currently fielding one to three Enterprise/Strategic on-site requests per week, and this position exists to meet sophisticated buyers where they are — in their offices, at conferences, and at executive meetings. The possibility of weekly travel should be an expectation Compensation Information: $185,000 - $225,000+   The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package. Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite. Some roles offer a hybrid schedule of 2–3 days in-office per week     Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.

Location: Remote: United States; San Francisco HQ; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. About the Role Billing is mission-critical to Render’s success. Every service, database, and workload that runs on Render ends up on an invoice, and customers trust us to get that invoice right. As Senior Engineering Manager for the Billing team, you’ll lead the organization that makes sure customers are billed accurately, reliably, and transparently as Render scales. You’ll set the multi-quarter strategy and own the technical direction, people, and execution behind Render’s usage-based billing systems: how usage is captured, how it flows through our data pipelines and third-party billing platforms, and how it lands as a correct charge. You’ll be Engineering’s senior partner to Finance, Product, and Customer Experience leadership, turning pricing, reporting, and customer needs into a roadmap your team can ship. This role is for a seasoned technical leader who wants to build the organization, the leaders, and the systems that keep billing right as usage, pricing, and our customer base keep growing. What You’ll Do - Lead and grow the Billing engineering team, which owns how Render turns platform usage into accurate charges: usage capture, data pipelines, third-party billing platforms (Orb, Metronome, Stripe, or similar), and invoicing - Own the roadmap for Render’s billing systems, from usage metering through invoicing, reconciliation, and financial reporting - Drive billing correctness and reliability: build the monitoring, reconciliation, and testing that catch errors before customers do - Partner with Finance, Product, and Customer Experience to align the roadmap with pricing, reporting, and customer needs - Hire and develop engineers to support planned team growth, while keeping the team’s focus clear as billing scope expands - Make key architectural decisions, balancing long-term billing platform investment against near-term pricing launches and fixes - Build a strong performance management and career development practice for a team that includes senior ICs What We’re Looking For - Strong people leadership — the top priority for this role - Hands-on enough to review code, prototype, and contribute directly when it helps the team - Comfort operating in ambiguity, with adaptability and a growth mindset - Proven experience building and scaling teams, ideally growing a group from a handful of engineers into a larger org - Experience managing engineers; including senior and staff engineers; hiring, and performance management - Hands-on experience with usage-based billing, payments, or other revenue-critical systems, including third-party platforms like Orb, Metronome, or Stripe - Ability to partner closely with Finance, Product, and Customer Experience without needing to fill those functions yourself - Strong business instincts, with the ability to connect engineering investment to billing accuracy, revenue, and customer trust - Background from either a startup or a larger company is fine. What matters is experience and ability to operate in a fast-paced environment Nice-to-Haves - Experience leading a billing platform migration or a pricing model change. - Familiarity with financial reconciliation and reporting processes. - Background in distributed systems or event-driven architectures. - Experience building for developer platforms, cloud infrastructure, or DevTools. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

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

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

Location: Athens Workplace: Remote About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to improve automatic speech recognition (ASR) for Sophea Meet. You will work with real meeting audio and own the improvement loop from data and model experiments through evaluation and production performance. The initial language focus is English. Additional languages, starting with Greek, will be prioritized with Product based on usage and product needs. What you will do - Train, fine-tune, adapt, and evaluate speech recognition models based on measured product needs. - Build representative benchmarks and regression tests for real meeting audio. - Prepare speech datasets and investigate difficult cases, including noise, overlapping speakers, long sessions, and specialized terminology. - Use error analysis to decide which model, data, or pipeline changes will improve transcription quality. - Improve inference across accuracy, latency, throughput, reliability, and cost. - Deploy and monitor model versions with Engineering, while working with Product to set quality goals and prioritize improvements. What you will need - 3+ years of relevant ML or research engineering experience, with clear technical ownership and measurable results. - Strong hands-on ASR or speech ML experience, including a speech recognition system you shipped or materially improved. - Experience training, fine-tuning, or adapting deep learning models using real-world audio data. - Strong evaluation skills, including WER/CER, benchmark design, error analysis, and regression testing. - Strong Python, hands-on experience with PyTorch, JAX, TensorFlow, or a similar framework, and solid software engineering skills. - Experience deploying, monitoring, and maintaining production ML systems. Nice to have - Multilingual ASR, accent robustness, domain adaptation, or diarization. - Streaming speech recognition and low-latency inference. - MLOps, evaluation, or data pipelines for speech systems. - Experience with meeting transcription, voice agents, or enterprise speech products. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Location: Athens Workplace: Hybrid About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to develop capabilities that work on physical robots. You will take ideas from model and data experiments through robotics integration and evaluation on real hardware. Our fleet includes Unitree Go2, G1, H1, and B2 robots using NVIDIA Jetson Orin and Jetson Thor compute. Current areas of focus include navigation, learned policies, vision-language-action models, and robotics data. What you will do - Develop, train, adapt, and evaluate models for navigation, perception, planning, and robot behavior. - Apply suitable methods such as imitation learning, reinforcement learning, or vision-language-action approaches. - Build data collection and evaluation pipelines using real-world and simulated robotics data. - Integrate models with robotics software, sensors, actuators, and control systems. - Test on physical robots, measuring task success, sim-to-real performance, on-device latency, and failure modes. - Work with ML, Engineering, robotics specialists, and Product to improve reliability and move prototypes toward repeatable deployment. What you will need - 3+ years of relevant ML or robotics engineering experience, or equivalent impact taking research into real-world systems. - Hands-on experience developing and evaluating ML-enabled systems on physical robots. - Strong Python and production software engineering skills, including experience with ROS or a comparable robotics framework. - A strong ML background in robot learning, perception, imitation learning, reinforcement learning, multimodal models, or a related area. - Experience with robotics data, simulation, experiment design, and evaluation on real hardware. - Practical understanding of sensors, actuators, control loops, latency, and hardware debugging. Nice to have - Vision-language-action models, multimodal foundation models, or generative world models. - Experience with humanoids, mobile or dexterous manipulation, or other complex robotic platforms. - Sim-to-real transfer, teleoperation, human demonstration data, or large-scale robotics data collection. - C++, low-level control, tactile or force sensing, or real-time systems. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Location: Boulder, CO Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY HALTER Halter makes solar-powered smart collars that let farmers and ranchers move, fence and monitor their cattle from their phone, without physical fences. Founded in New Zealand in 2016, Halter is now used across New Zealand, Australia and the United States, and is backed by investors including Bessemer Venture Partners, DCVC, Blackbird and Rocket Lab founder Peter Beck. North America is our next big chapter. Our Boulder team is growing quickly, and the people decisions we make now, about how we hire, organize and lead, will shape the business for years. This role is a chance to build those foundations at a company with proven technology and a mission that matters: more productive and sustainable farming and ranching. ROLE PURPOSE As Head of Partnering - North America, you'll be the most senior People & Performance leader for our North American business. You'll partner with executives to build strong, high-performing teams, and build and lead a team of People Partners across the region. The role is both strategic and hands-on, and needs strong judgement, commercial awareness and the ability to cut through inertia. Halter is headquartered in New Zealand, so you'll also be the link between North America and our People & Performance team there, making sure North America has a strong voice in company-wide decisions and that our teams here stay connected to Halter's culture. Expect regular work across time zones, including some early morning or evening meetings, and occasional travel to New Zealand as well as other Halter locations. The role is based in our Boulder, Colorado office, and like the rest of Halter, we work office first. RESPONSIBILITIES Executive Partnering and Organizational Design - Partner with executives and senior leaders across North America on people strategy, organisational design, workforce planning and succession. - Coach leaders on leadership, performance and team effectiveness, using data to inform decisions on structure, engagement and retention. - Support leaders through scaling and structural change, keeping accountability and decision-making clear. Building and Leading the Partnering Team - Build, lead and develop a high-performing team of People Partners across North America, with clear standards for how we partner. - Prioritise across competing demands and put resources where they add the most value. Performance, Talent and Culture - Run performance management, feedback and calibration, and coach managers on developing talent and addressing underperformance. - Partner with Talent and Programmes to attract, develop and retain talent, including career pathways for technical and specialist roles. - Help leaders build inclusive, engaged teams, and spot engagement or retention risks early. - Handle employee relations matters with care, fairness and sound judgement. Working with our New Zealand Headquarters - Represent North America in global People & Performance leadership discussions, so regional needs shape company-wide decisions from the start. - Judge when North America should follow the global approach and when it needs its own, making sure our policies meet local employment law. - Partner with function leaders in New Zealand whose teams include people based in North America, making sure those employees get consistent leadership and support. - Make decisions independently when time zones mean headquarters isn't available, and keep the right people informed. - From time to time, support global initiatives and teams outside North America. WHAT SUCCESS LOOKS LIKE - Leaders across North America see you as a trusted partner who helps them act quickly and well on people matters. - Your team is well regarded and gives consistent, practical support. - Team structures are clear, performance issues are dealt with promptly, and managers are more confident leading their teams. - We attract and keep key talent, and succession pipelines are clearer. - North America has a strong voice in global people decisions, and North American employees feel as supported and connected as those at headquarters. WHAT WE'RE LOOKING FOR - 10+ years as a strategic Human Resources Business Partner, People and Performance Partner or equivalent in a high-growth or complex global organisation, including experience leading a team of partners. - Experience as a senior People leader in a regional business of a company headquartered in another country, ideally where that region was growing quickly or was critical to the company's strategy. - Skilled at influencing senior leaders you don't report to, across countries and functions. - Experience partnering across functions such as Sales, Marketing, Customer Success, Operations and field teams, and strong knowledge of North American employment law. - Hands-on experience with organisational design, performance management and scaling teams through change. - A confident communicator and trusted advisor who builds credibility quickly in fast-paced environments. OUR BENEFITS - Employee Stock Ownership Plan (ESOP): Own a part of Halter and share in our growth and success - Unlimited PTO: Take time off when you need it—no accrual required, available from day one - Employee Assistance Program (EAP) & paid wellness leave: Access confidential support through JustWorks plus 3 paid wellness days per year - Comprehensive health benefits: Medical, dental, and vision coverage starting the first day of the month after you join (with most premiums covered, including 100% of employee-only health premiums on select plans) - Personal growth fund: $750 USD per year to support learning, development, or personal growth goals - Parental leave: 16 weeks paid leave for birthing parents and 8 weeks paid leave for non-birthing parents - 401(k): 100% match on the first 3% contributed, plus 50% match on the next 2% (up to a 4% employer match), with immediate vesting - Onboarding travel to New Zealand: Fly to NZ for onboarding at Halter HQ in Auckland—meet the team, visit a test farm, and immerse yourself in all things Halter OUR OFFICE FIRST APPROACH Humans are wired for connection. Being office first is a core pillar of our culture because in-person connections drive your growth, learning, impact, and relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful work together. We're office first, not office only. Working from the office is our default, but we flex when needed. We have a high-trust culture where everyone is trusted to do what's best for Halter. Our office vibe is special, the high energy and spectacular people make work enjoyable. Your growth and impact are unlimited here, coming from solving problems, innovating, and constantly learning from each other. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the US or Canada. About the Team Reddit's Ads ML Efficiency team is focused on making machine learning workloads faster, more scalable, and more cost-efficient, enabling our Ads ML teams to develop, launch, and scale increasingly sophisticated models. This role sits at the intersection of ML workloads, execution systems, and engineering leverage. The engineer will partner closely with ranking teams, serving owners, and ML Platform to identify important bottlenecks, implement targeted improvements, and connect execution and systems improvements to measurable end-to-end outcomes. What you’ll do Own end-to-end performance optimization initiatives for high-impact production ML workloads, from bottleneck identification and implementation through validation and production rollout. Profile and diagnose ML performance bottlenecks across model execution, frameworks, runtimes, memory, CPU/GPU utilization, and infrastructure using rigorous benchmarking and measurement. Design and implement performance improvements involving inference execution, runtime behavior, batching, memory management, precision, compiler integration, custom operators, kernels, or other relevant techniques. Improve ML training and serving efficiency and scalability, optimizing latency, throughput, hardware utilization, and cost while maintaining model quality and production reliability. Support faster and safer model launches through performance benchmarking, load testing, regression detection, and launch-readiness improvements. Partner with model engineers and platform teams to identify high-leverage opportunities, integrate optimizations safely, and validate measurable end-to-end impact. Build reusable performance capabilities, including benchmarks, tooling, optimization patterns, and engineering guidance that accelerate future model development and deployment. Contribute to technical direction and mentor engineers through hands-on collaboration, code reviews, performance debugging, and knowledge sharing. What we’re looking for Hands-on ML performance engineering experience: Demonstrated ability to diagnose and implement meaningful performance improvements in production or production-relevant ML workloads. Deep expertise in at least one ML performance area, such as inference execution, ML runtimes, compiler integration, GPU/kernel optimization, memory systems, or training execution. Strong profiling and benchmarking skills: Ability to identify bottlenecks systematically, establish reliable baselines, and validate measurable end-to-end improvements. Strong software engineering fundamentals: Experience implementing, debugging, testing, and maintaining performance-sensitive systems, with proficiency in Python and relevant systems programming technologies. ML systems understanding: Familiarity with production ML frameworks and the performance trade-offs across model execution, runtime, memory, hardware, and infrastructure. Production engineering judgment: Ability to balance performance improvements with numerical correctness, model quality, reliability, maintainability, and safe rollout. Good customer and platform instincts: can solve concrete bottlenecks while keeping maintainability, adoption, and future reuse in mind. Strong communication: able to explain tradeoffs clearly to engineers and partner teams. Nice-to-have Experience optimizing large-scale inference or training workloads, particularly in recommendation systems, ranking, search, or retrieval. Experience with PyTorch, including performance optimization using technologies such as Dynamo, Inductor, AOTI, torch.export, or custom operators. Experience with inference runtimes, GPU execution, or performance technologies such as TensorRT, ONNX Runtime, CUDA, Triton, LLVM/MLIR, or equivalent systems. Experience with hardware-aware optimization, including batching, memory management, operator fusion, mixed precision, quantization, or accelerator efficiency. Experience with distributed-training performance, including GPU utilization, communication, data loading, memory efficiency, or training step-time optimization. Experience building performance benchmarks, profiling tools, regression detection, launch-readiness capabilities, or cost observability toolings for ML workloads. Experience working across ML modeling, serving, and platform infrastructure teams. Specialized compiler internals or custom CUDA/Triton kernel development are valuable but not required. We value demonstrated performance engineering depth, sound technical judgment, and measurable workload impact over familiarity with any particular tool or framework. Benefits: Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Group Personal Pension Scheme with Employer match Private Medical and Dental Scheme Income Replacement Programs Bike to Work scheme Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700 — $303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: USA (Remote); Canada (Remote) Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. THE ROLE We’re hiring an Enterprise Sales Lead to define and build the commercial opportunity for our emerging agentic products. You’ll identify where this technology solves meaningful customer problems, build relationships with enterprise buyers, and turn early interest into commercial deployments. This role combines hands-on enterprise selling with product and GTM development. Working closely with our CTO, product, and engineering teams, you’ll help determine what we sell, who we sell it to, and how we package it. You should be comfortable taking an emerging capability to customers, learning quickly, and helping shape the offering as you build the business. We’re building this effort with a small, focused team that works directly with customers, prototypes quickly, and turns promising technology into products people will use. Joining this team means helping define a new product category, its customer experience, and the business around it. You’ll have the opportunity to shape how businesses participate in the agent economy and bring that vision to market. WHAT YOU’LL DO - Develop the enterprise sales and GTM strategy for our agentic products, identifying priority industries, buyers, use cases, and routes to market. - Bring an established network of enterprise relationships and build new connections with decision-makers across commerce, services, and/or relevant regulated industries. - Own the sales process from customer discovery and qualification through pilots, negotiation, and commercial agreements. - Work directly with prospective customers to understand their workflows, business priorities, and requirements for deploying AI agents. - Partner with product and engineering to translate customer needs into product requirements, demonstrations, and commercially compelling offerings. - Help define positioning, packaging, pricing, and pilot structures, testing assumptions through customer conversations and actual deals. - Build a repeatable approach to moving customers from early experimentation into production and broader adoption. - Establish pipeline discipline, communicate market feedback, and help the team prioritize opportunities with the strongest commercial potential. WHAT YOU’LL BRING - 12+ years of Enterprise Sales experience, with a track record of closing complex agreements and building trusted executive relationships. - Meaningful startup experience, including building a new sales motion, launching an offering, or winning early enterprise customers. - An established network of buyers in enterprise commerce, retail, services, or regulated industries. - Experience selling technical products and translating emerging technology into clear business value. - Direct involvement in shaping product positioning, packaging, pricing, or GTM strategy alongside product and engineering teams. - Strong customer discovery skills and the judgment to distinguish a repeatable market opportunity from a one-off request. - A hands-on approach: you’re comfortable prospecting, running discovery, developing proposals, and closing deals yourself. - Comfort with ambiguity, rapid iteration, and a product that will evolve through customer engagement. NICE TO HAVE - Experience selling AI agents, commerce platforms, payments, trust and security products, or enterprise workflow software. - Familiarity with customer journeys such as shopping, returns and refunds, reservations, ticketing, or insurance servicing. - Experience navigating enterprise procurement, security reviews, and requirements for controlled or regulated workflows. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s mission is to ensure that the world safely makes the transition through transformative AI. Security is one of the clearest places where that mission plays out: the same capabilities that help attackers move faster can help defenders move faster too, and helping them use those capabilities safely and well is what this team is for. Security teams are among the earliest and most demanding users of frontier AI. They use Claude to review code at scale, find vulnerabilities before attackers do, and work through alert queues their analysts can’t keep up with. Anthropic’s Applied AI organization is building a dedicated Security team to help them do this well, and we are looking for its first leader. You will build this team from zero. You’ll decide which security customers the team serves first, who you hire and in what order, and how the team works with Sales, Applied AI Engineering, and our security, legal, and trust partners. You’ll also stay hands-on with a few of our most important security customers, because what you learn in those accounts becomes the playbook for everyone else. You’ll also set the standard for how security customers use Claude responsibly, including where a person has to review the output before anyone acts on it. What you’ll do Hire, onboard, and develop the first Applied AI Architects on the Security team. Coach senior and early-career architects differently, and give each one clear goals. Decide where the team spends its time: which segments and account types come first, which deals get architect coverage, and how to say no clearly when demand outruns headcount. Partner with security account executives on joint account plans, regular pipeline and forecast reviews, and deals where the customer’s security review sets the close date. Guide customers from discovery through evaluations and proofs of concept with written success criteria. Then take them from one-time code scans to sustained workloads: application security in the development lifecycle, continuous automated penetration testing, alert triage and investigation, and vulnerability and threat intelligence. Work alongside the security ISVs, systems integrators, and managed security providers already in our customers’ accounts. Keep a clear line between what Anthropic delivers and what partners deliver. Bring in Applied AI Engineers and our security, legal, and trust teams when a customer’s build or review needs them. Write the first security playbooks, reference implementations, and evaluation approaches. Bring what you learn back to Product, Engineering, and Research, so Claude becomes more useful and more trustworthy for defenders at the same time. Carry a small number of strategic security accounts yourself, from executive briefings with CISOs to hands-on workshops with their engineers. You may be a good fit if you Have 12+ years of industry experience with at least 4 years  managing a team of customer-facing technical people, such as solutions architects, sales engineers, or security consultants, and can show how the team grew and performed under you. Have hands-on security depth in at least one area, such as application security, detection and response, offensive security, or vulnerability management, deep enough that practitioners trust your judgment . Application security experience highly preferred. Have used LLMs for real security work, such as code review, vulnerability discovery, triage, or investigation, and can say where they helped and where they failed. Have worked large enterprise security deals end to end, including customer security reviews, in close partnership with sales. Care about making AI both safe and useful for defenders, and can explain security risk and value to a CISO and to the engineers who will run the work, in terms each one cares about. 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: $380,000 — $450,000 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: Montréal We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Chez nous, le jeu, c’est du sérieux. Nous recherchons des aventurières et aventuriers curieux, prêts à trouver leur groupe, animés par l’imagination et la détermination de créer ce qui n’a encore jamais été créé. Chez Hasbro et Wizards of the Coast, vous collaborerez avec des équipes passionnées pour réinventer nos marques emblématiques et créer des expériences qui suscitent la joie, les liens et le sentiment de communauté grâce à la magie du jeu. Voici votre chance de façonner un jeu légendaire qui dure toute une vie. Aperçu du poste Nous construisons quelque chose de nouveau au sein de notre AI Studio, et nous recherchons un ingénieur ou une ingénieure DevOps pour nous aider à le façonner. Ce poste se situe au cœur d’un secteur d’activité nouveau et en constante évolution. Les problèmes sont encore en train de prendre forme, et les systèmes sont activement en cours de conception. Ce qui nous enthousiasme, c’est la possibilité de repousser les limites de ce que peuvent être les histoires et les personnages, et d’utiliser la technologie de la propriété intellectuelle (PI). Nous nous concentrons sur la création des systèmes de base qui transforment des personnages et des univers, que le public regarde, en quelque chose avec lequel il peut interagir au fil du temps. Ce poste assure le bon fonctionnement de la plateforme et rend sa mise en production sûre. En travaillant aux côtés des ingénieurs et ingénieures séniors de l’équipe de la plateforme, le ou la titulaire du poste contribuera à concevoir et à maintenir les pipelines, les environnements et l’infrastructure de production qui soutiennent notre plateforme de personnages : les API, les outils d’administration et les expériences vocales en temps réel sur lesquels s’appuient nos partenaires. Le succès dans ce rôle se traduit par des déploiements rapides, sans surprise et réversibles, ainsi que par un environnement de production qui demeure en santé à mesure que de nouveaux partenaires se joignent à la plateforme. La plateforme est déjà en production; la première tâche consiste donc à renforcer ce que nous avons : améliorer la manière dont les versions parviennent en production, placer des alarmes en amont de chaque déploiement et s’assurer que les migrations de bases de données ne causent jamais de mauvaises surprises. Avec le temps, vous assumerez une plus grande responsabilité à l’égard de l’infrastructure à mesure que la plateforme s’étendra à de nouveaux partenaires, à de nouveaux environnements et à de nouveaux modes d’interaction, et nous accueillons avec plaisir les candidates et candidats qui apportent l’expérience acquise au fil de parcours variés. Au moment du déploiement, l’objectif est que personne n’ait à retenir son souffle. Lieu et modalités de travail Ce poste est basé à notre bureau de Montréal, au Québec (Canada), et suit un horaire hybride conçu pour favoriser la collaboration en personne. Les membres du personnel sont tenus de travailler sur place les mardis, mercredis et jeudis, avec la souplesse de travailler à distance ou sur place les lundis et vendredis. Vos responsabilités Intégration continue et livraison continue (CI/CD), y compris la construction d’images de conteneurs, la mise en cache, les points de contrôle de tests et la promotion du développement vers la production en passant par la préproduction. Contribuer à la mise en œuvre de notre stratégie de déploiement pour les services conteneurisés, y compris les vérifications de l’état de santé et le retour arrière automatique lorsque des alarmes se déclenchent. Maintenir et faire évoluer notre infrastructure infonuagique en tant que code sur plusieurs comptes AWS, des services de conteneurs et des bases de données gérées jusqu’à la mise en cache, la diffusion de contenu et la sécurité réseau. Concevoir et ajuster la surveillance et les alertes afin que les problèmes soient détectés avant qu’un partenaire ne les remarque. Assurer la rigueur de la gestion des accès et des secrets grâce à des autorisations selon le principe du moindre privilège, à des identifiants CI de courte durée et à des secrets gérés, à l’appui de nos engagements en matière d’IA responsable et de traitement des données. Soutenir la gestion des environnements et les outils pour les personnes développeuses afin de permettre aux ingénieurs et ingénieures de livrer plus facilement des changements de façon autonome. Ce que vous apportez Ingénierie de la fiabilité des sites (SRE) : exploitation de systèmes de production sur AWS dont dépendent de vrais utilisateurs et utilisatrices. Expérience pratique de l’infrastructure en tant que code (AWS Cloud Development Kit (CDK)). Vous accordez aux modifications d’infrastructure le même soin qu’aux modifications de code. Expérience de la conception et de la maintenance de pipelines CI/CD pour des services conteneurisés. La connaissance de GitLab CI est un atout. Connaissance pratique d’Elastic Container Service (ECS) et familiarité avec les nuages privés virtuels (VPC). Connaissance pratique de Python ou de TypeScript pour l’écriture de scripts et l’automatisation. Expérience de l’utilisation d’outils de surveillance, de journalisation et d’alertes. Aisance dans un environnement en évolution rapide où les processus sont encore en cours d’élaboration, y compris la contribution à la documentation des guides d’exploitation. Une maîtrise professionnelle du français et de l’anglais est exigée pour ce poste. L’anglais est nécessaire pour communiquer et collaborer régulièrement avec des collègues et des leaders établis aux États-Unis, qui travaillent principalement en anglais. Ce qui vous distingue Expérience des déploiements sans interruption de service, y compris le retour arrière automatisé. Expérience de l’instrumentation avec Datadog ou OpenTelemetry. Communication Web en temps réel (WebRTC) Exploitation de PostgreSQL : migrations, sauvegardes et optimisation des performances, idéalement sur AWS Aurora. Qui nous sommes Nous sommes une équipe de créatrices et créateurs, de conteuses et conteurs et d’innovatrices et innovateurs réunis au sein de la famille Hasbro, qui regroupe des marques adorées, des studios de jeux numériques AAA et des expériences immersives qui stimulent l’imagination de toutes les générations. Ensemble, nous nous engageons à cultiver une culture fondée sur la créativité, l’excellence, la curiosité et l’inclusion, où chaque membre du personnel est habilité à penser avec audace, à agir avec intégrité et à faire naître la joie pour tous et toutes. Hasbro À propos de l’entreprise – Hasbro Wizards of the Coast Qui nous sommes – Wizards of the Coast Égalité des chances Hasbro s’engage à assurer l’égalité des chances dans tous les aspects de l’emploi. Nous nous engageons à prendre toutes nos décisions en matière d’emploi sans égard à la race, à la couleur, à la religion, au sexe, à l’orientation sexuelle, à l’identité ou à l’expression de genre, à l’origine nationale, à l’âge, à l’état civil ou à tout autre motif protégé par la loi. Mesures d’adaptation Si vous avez un handicap et avez besoin de mesures d’adaptation raisonnables pendant le processus d’embauche, veuillez en informer votre recruteur ou recruteuse en tout temps au cours du processus. Avis concernant l’utilisation de l’IA par Hasbro dans le processus de recrutement Nous utilisons l’outil Talent Matching de Greenhouse, propulsé par l’IA, pour comparer votre candidature aux exigences du poste. Fonctionnement : Talent Matching compare les renseignements de votre curriculum vitæ et de vos réponses de candidature à des critères liés au poste, établis et pondérés par les équipes de recrutement et d’embauche de Hasbro. Selon le poste, ces critères peuvent comprendre les compétences pertinentes, l’expérience de travail, les titres de postes antérieurs et l’expérience dans le secteur. L’outil attribue ensuite une catégorie de correspondance afin de faciliter l’organisation des candidatures en vue de leur examen. Supervision humaine : Talent Matching appuie l’examen humain, mais ne le remplace pas. L’outil ne fait pas progresser ni ne rejette automatiquement des candidatures et ne prend aucune décision d’embauche. Les recruteurs et recruteuses ainsi que les gestionnaires d’embauche de Hasbro examinent les candidatures et demeurent responsables de toutes les décisions d’embauche. Greenhouse a publié les résultats d’un audit indépendant des biais de Talent Matching. Consulter les résultats de l’audit de Greenhouse Talent Matching . #StudiosWizards Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Montréal We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview We’re building something new inside our AI Studio, and we’re looking for a DevOps Engineer to help shape it with us. This role sits at the center of a new and constantly evolving business area. The problems are still taking shape, and the systems are actively being built. What excites us is the opportunity to push the boundaries of what stories and characters can be and to use technology intellectual property (IP). Our focus is on building the core systems that turn characters and worlds from something audiences watch into something they can interact with over time. This role keeps the platform running and makes shipping it safe. Working alongside senior engineers on the platform team, this DevOps Engineer will help build and maintain the pipelines, environments, and production infrastructure behind our character platform: the APIs, admin tooling, and real-time voice experiences that partners build on. Success here means deploys that are fast, boring, and reversible, and a production environment that stays healthy as more partners go live. The platform is already in production, so the first job is helping make what we have more robust: improving how releases reach production, putting alarms in front of every deploy, and making sure database migrations never surprise anyone. Over time, you’ll take on more ownership of the infrastructure as the platform grows into new partners, environments, and interaction modes, and we welcome candidates who bring their experience from a variety of paths. When it’s time to roll out, the goal is that nobody has to hold their breath. Location and Work Arrangement This role is based at our Montreal, Quebec, Canada office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Continuous Integration and Continuous Delivery (CI/CD), including container image builds, caching, test gates, and promotion from development through staging to production. Help implement our deployment strategy for containerized services, including health checks and automatic rollback when alarms fire. Maintain and extend our cloud infrastructure as code across multiple AWS accounts, from container services and managed databases to caching, content delivery, and network security. Build and tune monitoring and alerts so problems surface before a partner notices them. Keep access and secrets tight with least-privilege permissions, short-lived CI credentials, and managed secrets, in support of our responsible AI and data-handling commitments. Support environment management and developer tooling that make it easier for engineers to ship changes on their own. What You'll Bring Site Reliability Engineering (SRE), running production systems on AWS that real users depend on. Hands-on infrastructure-as-code experience (AWS Cloud Development Kit (CDK)). You treat infrastructure changes with the same care as code changes. Experience building and maintaining CI/CD pipelines for containerized services. GitLab CI is a plus. Working knowledge of Elastic Container Service (ECS), and familiarity with Virtual Private Clouds (VPCs). Working knowledge of Python or TypeScript for scripting and automation. Experience working with monitoring, logging, and alerting tools. Comfort in a fast-moving environment where processes are still being built, including helping document runbooks. Professional proficiency in French and English is required for this role. English is necessary to communicate and collaborate regularly with colleagues and leaders based in the United States who primarily work in English. What Sets You Apart Experience with zero-downtime deployments, including automated rollback. Datadog or OpenTelemetry instrumentation experience. Web Real-Time Communication (WebRTC) PostgreSQL operations: migrations, backups, and performance tuning, ideally on AWS Aurora. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . #StudiosWizards Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: San Francisco; New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Backend Platform Engineer at Harvey, you will help build and operate the cohesive backend platform that all our services run on. You’ll design and implement shared frameworks and libraries that abstract common concerns, improve developer experience, and raise the baseline for reliability and performance across all teams. Your mission aligns with our platform charter: create “a shared foundation that enables product teams to ship reliable, observable, and performant experiences quickly and safely.” By centralizing common work, you’ll let product engineers focus on shipping features rather than re-inventing the wheel. This is a high-impact role where the code you write and the systems you build will amplify the productivity and quality of engineering across the entire company. If you’re excited about building foundational systems, solving cross-cutting technical challenges, and enabling others to move faster with confidence, we’d love to hear from you. WHAT YOU'LL DO - Develop and maintain Harvey’s internal backend frameworks and libraries that provide common capabilities (API routing, service lifecycle management, caching and messaging primitives, error handling interfaces, etc.), so product teams don’t have to reinvent them - Create and improve APIs, service templates, and versioned interfaces that establish consistent patterns for building new services and features - Introduce and champion modern backend architecture patterns like asynchronous I/O (asyncio) and streaming data processing, continually evolving our platform for better performance and scalability - Design Harvey-specific abstractions and domain-specific frameworks—covering cross-cutting concerns (e.g., authorization, streaming) and areas like data governance and event processing—to provide product engineers with these capabilities out of the box - Embed reliability and observability into the platform by building in tracing, metrics, and automated tests (shift-left), ensuring services built on our foundation are robust and easy to monitor - Collaborate with Model Infrastructure team to tackle challenges unique to GenAI-native applications — such as supporting high-throughput model inference, managing streaming and long-running API interactions, and designing abstractions for retrieval, context handling, and prompt lifecycle - Collaborate with the Developer Experience and Infrastructure teams (who own CI/CD pipelines, build tools, and release infrastructure) to integrate our platform components seamlessly into the deployment and monitoring ecosystem - Work closely with product engineering teams to gather feedback, evangelize best practices, and make the “paved road” approach a reality — providing strong defaults and clear documentation so teams can move fast with confidence WHAT YOU HAVE - 8+ years of software engineering experience (post-BS/MS), including building scalable backend systems or internal developer platforms - Proficiency in Python (or similar languages) and deep knowledge of backend development fundamentals (APIs, data stores, concurrency, distributed systems) - Hands-on experience with web frameworks and service architectures (e.g. Flask/FastAPI, Bounded context services, microservices) and an understanding of designing clean, versioned APIs - Familiarity with caching, messaging, and database technologies (Redis, Kafka, SQL/NoSQL databases, Vector databases, etc.) and how to use them effectively for high performance and reliability - A track record of writing high-quality, well-tested code and using tools (unit/integration testing, static typing, CI) to catch issues early and ensure reliability - Strong problem-solving skills and a passion for improving developer experience — you enjoy creating tools or frameworks that make other engineers more productive - Excellent collaboration and communication skills, with the ability to work across teams and incorporate feedback. - Experience contributing to or maintaining internal libraries/frameworks is a plus. COMPENSATION RANGE $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote Workplace: Remote We are looking for an experienced Senior Game Mathematician to take a leading role in developing mathematical models for an in-house slot game portfolio. The position combines advanced game mathematics, statistical modelling, and simulation with the opportunity to influence the technical foundations of math development. Beyond creating and balancing game mechanics, you will contribute to the evolution of internal simulation tools and mathematical frameworks, working closely with game designers, producers, and engineers. Responsibilities - Take full ownership of slot game mathematics, developing models from initial game concepts through balancing, testing, and regulatory certification - Create and fine-tune mathematical configurations for different slot formats, including reel-based, ways/Megaways, cluster pays, grid games, jackpots, and feature buy mechanics - Define and optimize key game parameters such as RTP, volatility, hit frequency, maximum win, payout distribution, and bonus contribution, ensuring alignment with gameplay and product objectives - Develop and adjust reel strips, paytables, symbol distributions, free spins, multipliers, cascades, bonus features, and progressive mechanics, including multiple RTP configurations and ante bet options - Perform large-scale Monte Carlo simulations, validate theoretical and simulated RTP, and evaluate statistical reliability through variance analysis, confidence intervals, and convergence testing - Prepare mathematical documentation, including PAR sheets, RTP calculations, and supporting materials required for independent testing and certification - Contribute to the design and continuous improvement of an internal math development and simulation framework, participating in architectural discussions, technical reviews, and implementation - Evaluate live game performance data, identify potential improvements, and provide mathematical recommendations for existing and upcoming releases - Partner with producers, game designers, and developers to assess new mechanics, balance gameplay experience, and address mathematical or technical risks - Help establish consistent math development standards, share technical knowledge, and support the professional growth of other mathematicians Requirements - 5+ years of professional experience in slot game mathematics within a game provider or development studio, rather than an operator - Track record of at least 10 commercially released slot titles, preferably including games with demonstrated market success - Extensive knowledge of probability, combinatorics, and statistical modelling, with the ability to apply these principles to complex slot mechanics - Proven ability to build complete mathematical models around defined targets, including RTP, volatility, hit rate, maximum exposure, payout distribution, and feature contribution - Practical expertise in balancing different slot formats and mechanics, including Megaways, cluster pays, grid slots, bonus buys, jackpots, free spins, multipliers, and cascading features - Strong understanding of reel and paytable configuration, bonus buy and ante bet mathematics, and multiple RTP variants, with the ability to balance feature frequency, payout sizes, and overall player experience - Advanced experience in mathematical validation and high-volume simulations, including analytical RTP verification, Monte Carlo methods involving billions of spins, variance analysis, confidence intervals, and convergence assessment - Familiarity with gaming certification standards and testing procedures, including requirements associated with GLI, BMM, eCOGRA, iTech Labs, and preparation of mathematical reports and PAR sheets - Ability to independently manage mathematical development throughout the complete game lifecycle, from initial design to final certification - Degree in Mathematics, Applied Mathematics, Statistics, Physics, or a related discipline, preferably at Master's level or above - Previous involvement in building or improving proprietary slot math engines or simulation frameworks - Knowledge of mathematical optimization techniques, including genetic algorithms, simulated annealing, and linear programming, for automated adjustment of reels and paytables - Experience designing mathematical models for crash games, instant-win products, or other alternative gaming formats - Understanding of the interaction between mathematical models, game clients, and backend systems - Fluent English for technical documentation, collaboration with international stakeholders, and communication with testing laboratories or regulators - Strong communication skills, with the ability to translate complex mathematical concepts into practical explanations for non-mathematical colleagues - Willingness and ability to mentor junior and mid-level mathematicians and contribute to knowledge sharing within the team Would be a plus - Proficiency in at least one programming language: Python, C++, C#, Rust, Java, or Go - Experience developing high-performance simulation software, including multithreading, performance optimization, and large-scale data processing - Familiarity with Git, automated testing, and code review practices, as well as software architecture principles such as modularity, well-defined interfaces, and deterministic simulation results - Contributions to industry research, professional publications, conferences such as ICE, SiGMA, or G2E, or relevant technical communities What's in it for you - Opportunity to contribute to the development of innovative iGaming products and influence key technical decisions - Work on challenging projects involving advanced game mathematics and simulation technologies - Opportunities for professional development and career growth - Collaboration with experienced professionals in a supportive, knowledge-sharing environment

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 Corporate Development Director, you'll help influence how GitLab invests to win: what we build, what we buy, where we partner, and what we should not pursue. This role sits within the Corporate Development & Strategic Partnerships team, reporting to the VP, Corporate Development & Strategic Partnerships. This role straddles strategy and M&A engagements. You'll lead research that frames GitLab's options: mapping the markets in and around our AI-powered DevSecOps platform, testing where we have a right to win, and turning that into clear recommendations for the executive team. When the answer is to acquire, you'll drive the deal process end to end, from outreach through close and integration. Success here is not measured by deal count. It looks like sharper strategic choices: a well-reasoned point of view on our priority markets, investment theses that product and executive leaders rely on, acquisitions that speed up the roadmap when buying is the right answer, and an educated no when it isn't. You'll own the wider market perspective rather than individual product categories, and work with the team's Analyst on the research behind it. What you'll do Strategy and research Own the wider market view. Research the broader market GitLab competes in, beyond specific product categories: competitive dynamics, AI-native entrants, technology shifts and where value is moving. Collaborate with the team's Analyst on the research and turn the findings into a clear point of view on where GitLab should play. Build an investment thesis for each focus area. Work with Product and Engineering leaders to define the problems worth solving, the capabilities GitLab needs, and what it would cost in time and money to get there on our own. Own the competitive and landscape view. Maintain market maps and a current read on GitLab's competitors: their strategy, product direction, positioning, pricing, and M&A and funding activity. Produce competitor analyses that show where we lead, where we're exposed and how rivals are likely to move. Flag shifts by competitors, hyperscalers and AI labs that change our options, and bring the implications to Product and the executive team. Define where GitLab should not play. Identify adjacencies that dilute focus and markets where the economics or competition work against us. Make the case for a no with the same rigor as a yes. Build, buy or partner Run the build, buy, partner analysis. For each strategic gap, compare the options side by side on speed, cost, risk, control and strategic fit, and bring a clear recommendation. Deliver strategic clarity to executives and the Board. Produce short strategy memos/decks and business cases that set out the decision, the trade-offs and what we give up with each path. Feed company strategy and planning. Bring an outside-in view of the market and the inorganic options available into annual and long-range planning. Work hand in hand with Strategic Partnerships. When partnering is the right answer, frame the opportunity and hand it to the partnership owner with a clear thesis. When it isn't, explain why. Deal execution and integration Own end-to-end deal process management. Validate target fit against GitLab's our target profile, product roadmap and other criteria, and build the acquisition rationale and business case. Drive our M&A process from intro call through the various steps through to closing and integration. Evaluate the deal. Develop valuation, commercial integrity assessment, impact on GitLab's business and provide negotiations assistance to the VP and the executive team. Lead cross-functional diligence. Run pre-LOI validation and diligence across Product, Engineering, Security, Finance, Legal and People, and communicate findings clearly. Drive deal documents with Legal. Prepare NDAs, LOIs and purchase agreements with GitLab Legal and outside counsel. Own integration outcomes. Lead post-acquisition integration as the DRI, measured against the roadmap and business goals in the business case. Bring lessons learned back into the strategy work. Build the external network. Maintain relationships with founders, executives, investors, bankers and advisors that bring us early insight and pipeline. What you'll bring Strategy and deal experience. 8+ years across corporate development, corporate strategy, strategy consulting or technology investing, including 5+ years leading acquisitions end to end in enterprise software. Structured strategic thinking. You form a point of view from incomplete information, test it against data, and change your mind when the evidence says so. You're as comfortable recommending that we stay out of a market as that we enter it. Market research depth. Skilled in market sizing, competitive analysis and landscape mapping, and in turning research into a recommendation, not a report. Deal craft. Skilled in valuation, financial modeling, deal structuring, negotiation and integration planning, with experience across varied consideration structures. Technical fluency. A working understanding of software development, DevSecOps and the AI landscape, enough to hold substantive conversations with product and engineering leaders about roadmaps and architecture. Clear executive communication. You write short, decision-ready updates and present trade-offs plainly to executives and the Board, in an async-first environment. Influence without authority. You build trust across Product, Engineering, Finance and Legal and move decisions forward across functions. Ownership with collaboration. You own the strategic view and the recommendation, and partner closely with the team's Analyst on research and analysis. Preferred: familiarity with the DevSecOps, security, AI and open source ecosystems. You value the all remote lifestyle and share our values . About the team The Corporate Development & Strategic Partnerships team helps GitLab decide how to grow beyond what we build on our own. We own inorganic strategy: acquisitions, strategic partnerships with hyperscalers and AI labs, and the research that tells us which to pursue and which to pass on. We work across Product, Engineering, Finance, Legal and the executive group. We set direction and do the detailed work ourselves, with a high degree of ownership and transparency in a fully remote, asynchronous environment. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $168,000 — $285,600 USD 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: Medellin, Colombia; Buenos Aires, Argentina; Brasília, Brazil On behalf of AdTech Client #3 , SD Solutions, we are looking for a talented AI Designer Your role: Help turn concepts into finished visuals for client campaigns. We need a designer who already makes strong work with AI, brings good judgment, and is excited to do this full-time. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: AI-generated images, characters, environments, and video for commercials. Storyboards, pitch decks, and client presentations. Branded graphics, social assets, and campaign variations. Photoshop cleanup, compositing, and refinements to get imagery ready for production. Requirements: AI experience is required. Working proficiency in tools like Higgsfield, Midjourney, ChatGPT, and/or Claude, with examples of AI-generated images, videos, and other creative assets. Ability to direct and refine outputs, maintain visual consistency, and finish work to a professional standard. A real passion for AI. Actively test tools, build on what you learn, and bring experiments you’re excited to show us. 3-7+ years of design experience, with strong typography, layout, and composition skills. Strong Photoshop and Illustrator skills; experience in Figma and Canva, including templates. Bonus: Editing and animation skills in Premiere or After Effects. About the company: An AI-native production studio specializing in commercials for broadcast TV, streaming, and social media. The studio handles the full production process — from concept and scripts through storyboards, AI production, editing, and final delivery. With nearly two decades of advertising experience behind its creative direction, the team produces ambitious campaigns in weeks, with the flexibility to build characters, environments, and evolving campaign assets. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.