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Responsibilities: — Build agentic tools — Develop evaluation systems — Create engineering workflow infrastructure The role involves working with infrastructure, data pipelines, LLMs, failure analysis, multi-agent orchestration, RAG, tool calling, evaluation, MCP, software engineering, DevOps, chip development, fine-tuning, agents, GPU kernels, and context management. Location: San Jose, CA, onsite.

Location: Ukraine Workplace: Remote Location: Based in Ukraine (Kyiv preferred, Lviv and other locations considered), regular travel to customer sites Employment: Full-time Engagement: B2B contract (Ukrainian FOP) Compensation: Base salary + performance-based sales commission About the Company Our client is a US-based battery technology startup developing high-performance energy storage solutions for defense and dual-use applications. Founded by industry leaders with executive experience at global electric vehicle and battery manufacturers, the company specializes in advanced silicon-anode battery technology designed to deliver high energy density and fast charging capabilities. With manufacturing capabilities in South Korea, the company is expanding into the Ukrainian defense technology market, focusing on battery solutions for drones and other unmanned systems. We are looking for a Business Development Manager to lead this market expansion, establish strategic customer relationships, and drive B2B sales growth in Ukraine. About the Role This is a hands-on, full-cycle business development position with significant ownership and direct access to the CEO. You will be responsible for developing the company's commercial presence in Ukraine, building relationships with drone manufacturers, battery pack producers, and other defense technology companies. The ideal candidate combines a strong network within Ukraine's defense industry with proven B2B sales experience, technical product understanding, and the ability to independently develop and close high-value commercial opportunities. Key Responsibilities - Develop and execute a business development strategy for the Ukrainian defense and dual-use markets. - Identify, prospect, and engage drone manufacturers, battery pack producers, and other unmanned systems companies. - Build and maintain relationships with key decision-makers, procurement teams, and technical stakeholders. - Manage the full B2B sales cycle, from lead generation and initial outreach to negotiations, closing, and account development. - Introduce advanced battery solutions to prospective customers and coordinate technical product evaluations. - Manage existing commercial opportunities while building a new customer pipeline. - Negotiate commercial terms and secure purchase orders. - Collaborate directly with the CEO and international teams on commercial strategy, customer requirements, and market opportunities. - Represent the company at customer meetings, industry events, and relevant defense technology networks. - Develop long-term customer relationships and identify opportunities for repeat business and account expansion. Requirements - 3+ years in B2B sales/BD, with hands-on experience in Defense / MilTech. - Proven track record of developing customer relationships, negotiating commercial agreements, and closing B2B deals. - Established professional network within Ukraine's defense technology ecosystem. - Understanding of the Ukrainian defense industry and its procurement ecosystem. - Experience selling technical products, hardware, electronic components, or industrial solutions. - Ability to independently manage the entire sales cycle, from prospecting to closing. - Strong commercial negotiation, relationship-building, and communication skills. - Fluent Ukrainian and strong English communication skills. - Willingness and ability to travel across Ukraine for customer meetings. - Self-driven, entrepreneurial mindset and ability to operate effectively in an early-stage business environment. Nice to Have - Experience selling batteries, battery cells, battery packs, or energy storage solutions. - Existing relationships with Ukrainian drone or unmanned systems manufacturers. - Experience in electronics, UAV components, power systems, or related hardware industries. - Experience importing dangerous goods (e.g. lithium batteries) and customs clearance in Ukraine. - Engineering or technical educational background. - Experience launching new markets or establishing B2B sales operations from scratch. - Active participation in Ukrainian defense technology associations, clusters, or industry networks. What We Offer - Opportunity to lead market expansion for a US-based deep-tech startup. - Direct collaboration with the founder and CEO. - High level of autonomy and ownership over business development in Ukraine. - Innovative battery technology with applications in the growing defense and unmanned systems sector. - Compensation combining a fixed base salary and performance-based sales commission. - Opportunity to develop strategic partnerships and grow with the business as its Ukrainian operations expand. - Based in Ukraine, with customer-facing travel across the country. Please Note The company does not currently provide military service reservation (бронювання). Interested in building the next generation of energy solutions for unmanned systems? We'd love to hear from you.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We're looking for a Staff Developer to join our Authentication Enablement team. Our mission is to help people, families and businesses unlock 1Password and access their information safely and simply, with authentication that stays in the background. Every 1Password app establishes its session with our servers through the service this team owns, whether the user signs in with a password and Secret Key, SSO, a passkey, MFA or a trusted device. As a Staff Developer, you’ll help move authentication out of the monolith and into an independent service with its own data, so sign-in can scale and stay available independently of the rest of the platform. The service continues to handle production traffic throughout the migration, so we’re moving endpoint by endpoint and table by table, with weighted rollouts, consistency checks and tested rollback procedures. You'll help set the technical direction for the migration and for new authentication services, as 1Password extends trusted access to AI agents. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - Significant experience building and operating backend services. - Deep expertise with distributed systems and data: moving live traffic or data between systems without downtime, event streaming or change data capture, and keeping two sources of truth consistent through a cutover. - Strong experience designing asynchronous workflows and migrating synchronous processes that depend on large atomic transactions to eventually consistent designs, while preserving correctness, clarifying tradeoffs, and improving performance. - Working knowledge of authentication and authorization technologies such as OAuth, OIDC, WebAuthn, passkeys, or MFA, including common implementation pitfalls and security risks. - A track record of setting technical direction for a team: owning large, multi-quarter projects, writing the designs others build from, and explaining tradeoffs to engineers and leadership alike. - You raise the engineers around you through reviews, design feedback and mentoring, and you work to hand off ownership rather than holding on. Bonus points for: - Extensive experience with Go or another backend language such as Java, C#, Rust, C++, or Python. - Experience extracting services from a monolith. - Experience with MySQL, Redis, Kafka, and DynamoDB at scale. - Familiarity with Secure Remote Password protocol. - Owning services with strict availability targets, including SLOs, on-call and incident response. What you can expect: - Lead a portion of the authentication service's roadmap for the next 12 months, and work closely with leadership to ensure that planning reflects the full scope of requirements. - Own significant designs in the remaining migration: moving session and device management flows, switching source of truth one provable iteration at a time, and publishing authentication events for other services to consume. - Make and document the team's technical decisions, weighing reliability and security against delivery. - Set the team's standards for testing, observability and safe rollout, so regressions surface before customers see them. - Build the platform pieces the service needs when 1Password doesn't have them yet, and work with sibling teams to propagate new distributed system standards across the organization. - Partner with the Authorization, Identity Services and Security teams, and guide the product teams whose features depend on authentication as they integrate with the service. - Hold AI-assisted work on security-critical code to the same bar as everything else: human judgment, careful validation and small, reviewable changes. - Participate in the 24/7 on-call rotation for tier-one services. USA-based roles only: The annual base salary for this role is between $192,000 USD and $278,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $167,000 CAD and $242,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: San Francisco; Austin; New York City Workplace: Hybrid We’re looking for a Go-To-Market Compensation Lead to build and scale the incentive compensation programs that support our revenue growth. You’ll lead compensation design in partnership with the Head of Revenue Operations and GTM and Finance leadership, translating business priorities into plans that are clear, motivating, and financially sound. You’ll own commission operations end to end, including our incentive compensation management (ICM) system. This is a hands-on leadership role for someone who can move from strategic recommendations to detailed execution, operate independently through ambiguity, and take extreme ownership of both the numbers and the employee experience. What you’ll do - Lead compensation design: Partner with the Head of Revenue Operations and GTM and Finance leadership to develop and evolve incentive plans across GTM roles. Recommend performance measures, payout structures, accelerators, and crediting rules that align incentives with company goals. - Model business impact: Build scenarios to assess compensation cost, earnings opportunities, and incentive alignment. Evaluate plan performance and recommend changes as our products, pricing, and go-to-market motion evolve. - Own commission operations: Run the full commission cycle, from source-data validation and crediting through calculations, reconciliation, approvals, and payroll handoff. Deliver accurate, on-time payouts and resolve questions and disputes with clear, consistent reasoning. - Own the ICM system: Lead system configuration, plan implementation, testing, administration, and ongoing improvements. Partner with systems and data teams to maintain reliable integrations and reduce manual work. - Build scalable processes and controls: Establish documentation, approval workflows, and audit trails for plans, exceptions, and adjustments. Create consistent processes for new hires, role changes, departures, and territory or account changes. - Make compensation understandable: Lead plan communications and enablement so employees and managers understand how incentives work. Be the trusted point of contact for compensation questions and complex edge cases. - Partner with Finance: Provide reliable payout reporting, accrual inputs, forecasts, and variance analysis. Maintain visibility into compensation spend and proactively flag risks or discrepancies. WHAT YOU BRING - Relevant experience: 4+ years of GTM compensation experience in SaaS or another high-growth industry, with meaningful ownership of both plan design and commission operations. - Autonomy and extreme ownership: A track record of setting priorities, identifying gaps, making sound recommendations, and driving work to completion without close supervision. You surface risks early and stay accountable through resolution. - Exceptional attention to detail: A rigorous approach to validating data, testing calculations, documenting decisions, and catching errors before they affect payouts. - Hands-on systems expertise: Experience administering an ICM platform and working with the CRM, finance, and payroll data that feed commission processes. - Strong analytical judgment: Advanced spreadsheet and financial modeling skills, with the ability to evaluate trade-offs and turn complex analysis into practical recommendations. - Clear communication and partnership: The ability to influence senior stakeholders, explain complex compensation mechanics simply, and handle sensitive information with discretion. - Tact and sound judgment: The ability to handle exception and clarification requests from Sales tactfully, balancing responsiveness with consistent application of compensation policies. You know when to resolve requests independently and when to escalate to senior leadership with clear context and a recommendation. - AI perspective and drive: A strong perspective on how AI is changing traditional commissions and compensation plan processing, and a passion for putting that perspective into practice across the business while maintaining accuracy, transparency, and controls. NICE TO HAVE - Evolving business models: Experience with consumption-based, usage-based, or hybrid subscription models. - Systems implementation: Experience implementing or migrating an ICM platform and automating compensation workflows. - Technical fluency: SQL or BI skills to investigate data issues and improve reporting.

Location: San Francisco; Austin; New York City Workplace: Hybrid We’re looking for a Go-To-Market Compensation Lead to build and scale the incentive compensation programs that support our revenue growth. You’ll lead compensation design in partnership with the Head of Revenue Operations and GTM and Finance leadership, translating business priorities into plans that are clear, motivating, and financially sound. You’ll own commission operations end to end, including our incentive compensation management (ICM) system. This is a hands-on leadership role for someone who can move from strategic recommendations to detailed execution, operate independently through ambiguity, and take extreme ownership of both the numbers and the employee experience. What you’ll do - Lead compensation design: Partner with the Head of Revenue Operations and GTM and Finance leadership to develop and evolve incentive plans across GTM roles. Recommend performance measures, payout structures, accelerators, and crediting rules that align incentives with company goals. - Model business impact: Build scenarios to assess compensation cost, earnings opportunities, and incentive alignment. Evaluate plan performance and recommend changes as our products, pricing, and go-to-market motion evolve. - Own commission operations: Run the full commission cycle, from source-data validation and crediting through calculations, reconciliation, approvals, and payroll handoff. Deliver accurate, on-time payouts and resolve questions and disputes with clear, consistent reasoning. - Own the ICM system: Lead system configuration, plan implementation, testing, administration, and ongoing improvements. Partner with systems and data teams to maintain reliable integrations and reduce manual work. - Build scalable processes and controls: Establish documentation, approval workflows, and audit trails for plans, exceptions, and adjustments. Create consistent processes for new hires, role changes, departures, and territory or account changes. - Make compensation understandable: Lead plan communications and enablement so employees and managers understand how incentives work. Be the trusted point of contact for compensation questions and complex edge cases. - Partner with Finance: Provide reliable payout reporting, accrual inputs, forecasts, and variance analysis. Maintain visibility into compensation spend and proactively flag risks or discrepancies. WHAT YOU BRING - Relevant experience: 4+ years of GTM compensation experience in SaaS or another high-growth industry, with meaningful ownership of both plan design and commission operations. - Autonomy and extreme ownership: A track record of setting priorities, identifying gaps, making sound recommendations, and driving work to completion without close supervision. You surface risks early and stay accountable through resolution. - Exceptional attention to detail: A rigorous approach to validating data, testing calculations, documenting decisions, and catching errors before they affect payouts. - Hands-on systems expertise: Experience administering an ICM platform and working with the CRM, finance, and payroll data that feed commission processes. - Strong analytical judgment: Advanced spreadsheet and financial modeling skills, with the ability to evaluate trade-offs and turn complex analysis into practical recommendations. - Clear communication and partnership: The ability to influence senior stakeholders, explain complex compensation mechanics simply, and handle sensitive information with discretion. - Tact and sound judgment: The ability to handle exception and clarification requests from Sales tactfully, balancing responsiveness with consistent application of compensation policies. You know when to resolve requests independently and when to escalate to senior leadership with clear context and a recommendation. - AI perspective and drive: A strong perspective on how AI is changing traditional commissions and compensation plan processing, and a passion for putting that perspective into practice across the business while maintaining accuracy, transparency, and controls. NICE TO HAVE - Evolving business models: Experience with consumption-based, usage-based, or hybrid subscription models. - Systems implementation: Experience implementing or migrating an ICM platform and automating compensation workflows. - Technical fluency: SQL or BI skills to investigate data issues and improve reporting.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. PRODUCT AT BASETEN Baseten is building a new cloud for AI. Our ambition is to make inference, training, and agent execution part of one coherent platform, and to shape how the next generation of AI products gets built. Product decisions here reach from the economics of GPU infrastructure to the abstractions developers build on every day. We’re hiring builders and tastemakers with the ambition to help create that future. You should bring a strong point of view about what should exist, the taste to make complex technology feel simple, and the technical judgment to build it alongside engineers, researchers, and designers. You’ll work directly with customers and forward deployed teams, turn emerging capabilities into new possibilities for developers, and carry an idea from early conviction through to production and adoption. THE ROLE Build the future of AI model routing, where every task gets the right model, automatically. Today, developers often have to choose between models that are faster, cheaper, or more capable. But the right model isn't always the same for every request. Grid is Baseten's intelligent model routing platform, designed to help developers get the best possible results across open and frontier models without manually managing every decision. We're starting with coding agents, where model choice can have an enormous impact on quality, speed, and cost. As Product Manager for Grid, you'll work with engineers, researchers, and customers to build a new category of AI infrastructure. You'll help shape how intelligent routing works, how developers control it, and how we prove it's better than choosing a single model. RESPONSIBILITIES - Own the product roadmap for Grid, from early developer adoption to production deployments and enterprise expansion. - Work with researchers and engineers to improve intelligent model selection, routing policies, fallbacks, and controls. - Build evaluation frameworks that measure real-world outcomes, including task quality, completion time, latency, and total cost. - Shape the developer experience for onboarding, configuration, observability, and routing decisions. - Help customers understand why a model was selected and give them confidence and control over how routing behaves. - Work through technical challenges involving conversation history, tool compatibility, prompt caching, retries, and routing overhead. - Partner with GTM and customers to turn early pilots into sustained adoption and revenue growth. REQUIREMENTS - Experience building and commercializing AI/ML products or developer platforms, with demonstrated adoption or business impact. - A technical background in software engineering, ML engineering, research, or equivalent hands-on experience. - Experience working with researchers or ML engineers on model behavior, evaluation, or learned systems in production. - Strong understanding of AI model quality, latency, cost, and the tradeoffs involved in optimizing across them. - Excellent developer product instincts, with an appreciation for both simple APIs and enterprise-level controls. - Hands-on experience using coding agents and a strong point of view on where automation helps developers and where they need control. - Comfort building emerging products where the technical approach and customer expectations are still evolving. NICE TO HAVE - Experience with LLM gateways, model routing, AI agents, coding harnesses, or multi-model platforms. WHAT SUCCESS LOOKS LIKE Developers can build better AI applications without having to manually choose and optimize every model. Grid consistently delivers measurable improvements in quality, speed, or cost, and becomes a trusted part of customers' production AI stacks. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco Perplexity is AI for people who expect more. This role brings that same standard to how our data team works, with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer: the kind of person who knows which metric actually matters, can design an A/B test that answers the real question, has gone deep on a data model because something didn't add up, and has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done. You'll build AI agents and internal systems that can increasingly handle end-to-end analysis workflows: forming hypotheses, writing and running queries, interpreting results, and drafting recommendations with the right evaluation, review, and guardrails. You'll build the retrieval infrastructure and evaluation loops that let AI systems query the warehouse reliably. You'll create workflows that detect, diagnose, and help fix data issues before they become company-wide problems. You'll build the infrastructure that multiplies what a small data team can ship. You'll join a data team that's already using AI across its work. The next step is turning those individual workflows into scalable systems, shared tools, and an AI-native operating model that becomes a benchmark for how modern data teams work.   WHAT YOU'LL DO - Build AI agents that do data science - not just SQL copilots, but systems that can safely explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations with clear evaluation and human review loops. - Make AI systems query the warehouse reliably - build the retrieval infrastructure and evaluation loops that let agents use our semantic context and metadata accurately. - Accelerate the AI-native data workflow - turn the best existing AI-assisted workflows into repeatable systems, reusable tools, and patterns the whole data team can adopt. - Automate the data lifecycle - build self-healing pipelines, automated dbt model generation and validation, data quality agents, and diagnosis workflows that reduce manual firefighting. - Ship AI-powered experiment analysis - build agents that interpret A/B test results, flag statistical issues, identify likely drivers, and draft ship/no-ship recommendations. - Turn the data team into a product team - build internal data products that stakeholders use every day, replacing ad hoc requests with self-serve AI interfaces. - Own the full lifecycle - identify high-leverage problems, prototype with LLMs, evaluate accuracy, design the UX, ship to production, and monitor quality over time. WHAT WE'RE LOOKING FOR - 6+ years in data science, analytics engineering, data engineering, or a related role. You've been close enough to real data work to know what should and should not be automated. - Deep SQL and analytics judgment - you can reason through metrics, experiments, data models, and messy warehouse reality without relying on a tool to think for you. - Strong product sense - you understand what stakeholders actually need, what makes a workflow adoptable, and how to turn a prototype into a product people use. - Hands-on LLM experience - you've built with frontier models, agents, RAG systems, evals, or AI-powered workflows and have opinions about where they work and where they fail. - Pipeline and modeling fluency - you've worked with dbt, warehouse schemas, data quality issues, and the practical tradeoffs behind durable data systems. - Builder mentality - you see a manual process and immediately think about how to systematize it. You ship fast, measure quality, and iterate. - Autonomy - this is a new function. You'll help define the roadmap as much as execute it. BONUS - Experience building production AI agents or agent evaluation systems. - Experience with Snowflake, semantic layers, or metadata systems. - Experience building internal tools, Slack bots, CLIs, or developer productivity products that people actually used. - Strong experimentation background, including metric design and statistical interpretation. - Experience with BI tools and the judgment to know what should be automated versus kept human-reviewed. - Early-stage startup experience. WHY THIS ROLE - Set the standard for the industry - Perplexity's data team is already using AI across its work. You'll turn that into something other data teams look to as the benchmark. - Build AI with AI - Perplexity builds AI for people who expect more. You'll bring that same level of ambition to how the company works with data. - Frontier models, day one - you're at an AI company with access to frontier infrastructure and people who deeply understand what's possible. - Massive leverage - the systems you build will multiply the output of every data team member and every stakeholder who needs data. - Direct impact - small team, no layers of approval. Idea to shipped system in days, not quarters.

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity Building machine learning systems for risk at a global crypto exchange is fundamentally different from conventional ML engineering. The data spans on-chain activity, fiat deposits and withdrawals, trading behaviour, account access patterns, device intelligence, identity information, and customer interactions—signals that very few organizations can analyze together. The problems are complex, adversarial, and constantly evolving. Models must identify emerging fraud patterns, scams, account takeovers, payment abuse, and other forms of financial risk while minimizing disruption to legitimate customers. Success is not measured only through offline model metrics. It is measured through prevented losses, improved approval rates, reduced false positives, faster investigations, and more reliable customer experience. This role sits within a multidisciplinary risk team of machine learning engineers, data scientists, risk strategy specialists, analytics engineers, product managers, and operations teams. You will work across the full ML lifecycle — from problem formulation, feature engineering, and model development to real-time deployment, monitoring, experimentation, and continuous iteration. You will also help shape how AI is used across the risk organization. LLM-assisted development, automated model workflows, AI-powered investigations, and intelligent review agents are part of the team’s daily work. We are looking for engineers who already use these tools effectively and can help establish safe, scalable, and production-ready AI practices. What You’ll Be Doing We’re looking for a Machine Learning Engineer to build models and AI tools that help detect fraud and protect users at a global crypto exchange. You’ll apply deep learning and XGBoost, develop practical AI agents, and use AI coding tools in your daily work. Build, evaluate, and deploy machine learning models for fraud and risk detection. Improve data quality, features, and model performance, balancing fraud detection with customer experience. Develop AI agents to support investigations, summarize cases, retrieve evidence, and automate routine workflows. Use AI coding tools to accelerate development, testing, and debugging while reviewing and validating their output. Work with engineering, product, and risk teams to deploy solutions and monitor their impact. What We Look For In You A strong foundation in machine learning, with hands-on experience in deep learning and tree-based models such as XGBoost or LightGBM. Strong Python skills and experience training, evaluating, and deploying models. Some practical experience building AI agents or LLM applications, including tool calling, retrieval, or workflow automation. Prototypes and personal projects are welcome. Regular use of AI coding tools, with the ability to understand, test, and improve generated code. Familiarity with databases and data pipelines for preparing training data and supporting ML workflows. Good problem-solving, communication, and collaboration skills. Nice to Haves Experience in account takeover (ATO), scam detection, or other fraud and risk use cases. Experience with LLM training, fine-tuning, evaluation, and alignment. Experience with reinforcement learning algorithms and their practical implementation. Experience with real-time ML systems, imbalanced datasets, or model explainability. Prior fraud or risk experience is helpful Fluency in Mandarin Perks & Benefits Competitive total compensation package L&D programs for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $214,666 to $321,999 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco Perplexity is AI for people who expect more. This role brings that same standard to how our data team works, with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer: the kind of person who knows which metric actually matters, can design an A/B test that answers the real question, has gone deep on a data model because something didn't add up, and has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done. You'll build AI agents and internal systems that can increasingly handle end-to-end analysis workflows: forming hypotheses, writing and running queries, interpreting results, and drafting recommendations with the right evaluation, review, and guardrails. You'll build the retrieval infrastructure and evaluation loops that let AI systems query the warehouse reliably. You'll create workflows that detect, diagnose, and help fix data issues before they become company-wide problems. You'll build the infrastructure that multiplies what a small data team can ship. You'll join a data team that's already using AI across its work. The next step is turning those individual workflows into scalable systems, shared tools, and an AI-native operating model that becomes a benchmark for how modern data teams work.   WHAT YOU'LL DO - Build AI agents that do data science - not just SQL copilots, but systems that can safely explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations with clear evaluation and human review loops. - Make AI systems query the warehouse reliably - build the retrieval infrastructure and evaluation loops that let agents use our semantic context and metadata accurately. - Accelerate the AI-native data workflow - turn the best existing AI-assisted workflows into repeatable systems, reusable tools, and patterns the whole data team can adopt. - Automate the data lifecycle - build self-healing pipelines, automated dbt model generation and validation, data quality agents, and diagnosis workflows that reduce manual firefighting. - Ship AI-powered experiment analysis - build agents that interpret A/B test results, flag statistical issues, identify likely drivers, and draft ship/no-ship recommendations. - Turn the data team into a product team - build internal data products that stakeholders use every day, replacing ad hoc requests with self-serve AI interfaces. - Own the full lifecycle - identify high-leverage problems, prototype with LLMs, evaluate accuracy, design the UX, ship to production, and monitor quality over time. WHAT WE'RE LOOKING FOR - 6+ years in data science, analytics engineering, data engineering, or a related role. You've been close enough to real data work to know what should and should not be automated. - Deep SQL and analytics judgment - you can reason through metrics, experiments, data models, and messy warehouse reality without relying on a tool to think for you. - Strong product sense - you understand what stakeholders actually need, what makes a workflow adoptable, and how to turn a prototype into a product people use. - Hands-on LLM experience - you've built with frontier models, agents, RAG systems, evals, or AI-powered workflows and have opinions about where they work and where they fail. - Pipeline and modeling fluency - you've worked with dbt, warehouse schemas, data quality issues, and the practical tradeoffs behind durable data systems. - Builder mentality - you see a manual process and immediately think about how to systematize it. You ship fast, measure quality, and iterate. - Autonomy - this is a new function. You'll help define the roadmap as much as execute it. BONUS - Experience building production AI agents or agent evaluation systems. - Experience with Snowflake, semantic layers, or metadata systems. - Experience building internal tools, Slack bots, CLIs, or developer productivity products that people actually used. - Strong experimentation background, including metric design and statistical interpretation. - Experience with BI tools and the judgment to know what should be automated versus kept human-reviewed. - Early-stage startup experience. WHY THIS ROLE - Set the standard for the industry - Perplexity's data team is already using AI across its work. You'll turn that into something other data teams look to as the benchmark. - Build AI with AI - Perplexity builds AI for people who expect more. You'll bring that same level of ambition to how the company works with data. - Frontier models, day one - you're at an AI company with access to frontier infrastructure and people who deeply understand what's possible. - Massive leverage - the systems you build will multiply the output of every data team member and every stakeholder who needs data. - Direct impact - small team, no layers of approval. Idea to shipped system in days, not quarters.

Location: Ireland - Dublin Office Workplace: Hybrid At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 IT HELPDESK SPECIALIST, LEVEL 3 SUPPORT Location: Dublin, Ireland Work arrangement: Hybrid, with at least two days per week in the office Coverage: EMEA and APAC ABOUT CLICKUP ClickUp’s mission is to make the world more productive. Our all-in-one platform helps teams plan, track, and collaborate in one place. Behind the scenes, our IT team keeps employees equipped, connected, and ready to do their best work.   We’re looking for an experienced IT Helpdesk Specialist to provide hands-on, Level 3 support for employees across EMEA and APAC. You’ll tackle complex technical issues, support our growing office presence, and help us build a secure, AI-forward approach to IT support. WHAT YOU’LL DO - Own complex employee support issues from investigation through resolution, knowing when to bring in other IT or Security partners. - Troubleshoot macOS, hardware, software, connectivity, identity, and access issues for employees in office and remotely. - Support Apple device deployment and management using Jamf and Apple Business Manager. - Manage employee access and account changes using Okta and other business applications, following established security practices. - Help employees with onboarding, offboarding, device setup, and equipment needs. - Keep tickets, troubleshooting notes, and support documentation clear and useful. - Look for opportunities to improve support processes and use AI thoughtfully to solve problems and reduce repetitive work. - Partner with IT, Security, People Operations, and Workplace teams to support employees and offices across the region. WHAT WE’RE LOOKING FOR - At least 5 years of experience in IT support, helpdesk, service desk, desktop support, or a similar role. - Strong macOS troubleshooting skills and hands-on experience with Jamf, Okta, and Apple Business Manager. - Experience investigating and resolving complex support issues with a methodical, service-minded approach. - A solid understanding of IT fundamentals and basic AI principles, including how to use AI tools responsibly and assess their output. - A security-first mindset, including care with employee data, device security, identity verification, and access. - Clear communication and the ability to make technical issues understandable to people with different levels of technical experience. - Ability to support employees across EMEA and APAC and work from our Dublin office at least two days a week. - Willingness to travel between Dublin and London as needed, with potential travel to the US or other parts of Europe when business needs require it. NICE TO HAVE - Experience with Bash, scripting, coding, or automation. You don’t need to be a software engineer: we value practical problem-solving and thoughtful use of AI-assisted tools. - Experience supporting employees across multiple offices or time zones. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

SpaceXSI is looking for a Senior Model Engineer Mid Training to scale synthetic training data, optimize mid-training recipes, and develop evaluations.

SpaceXSI is looking for a Senior Model Engineer Post Training and Reinforcement Learning to improve model capabilities through post-training, reinforcement learning, data experiments, and evaluations.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ClickUp's mission is to make the world more productive. As we build an all-in-one productivity platform that helps teams plan and do their best work, dependable sales incentives help our go-to-market teams stay focused on customers and growth. The Senior Sales Compensation Manager sits at the intersection of Finance, Sales, and Revenue Operations, making variable pay accurate, understandable, and dependable.   The Role - Own the monthly commission calculation process for sales roles, translating approved plan rules and sales data into accurate payout results delivered on schedule. - Reconcile source data and compensation-system records, investigate discrepancies, and document calculations and adjustments so payout results are clear and auditable. - Own the investigation and resolution of complex commission exceptions, identify root causes, and partner across Finance, Sales, Revenue Operations, and Payroll to implement lasting improvements to processes and controls. - Maintain accurate compensation plan and participant data in the compensation system, and flag missing or inconsistent inputs before they affect payouts. - Respond to sales representatives' and leaders' questions with clear explanations of how plan rules were applied, and coordinate resolution of pay discrepancies. - Partner with FP&A, Sales, Revenue Operations/Sales Operations, and Payroll to manage handoffs and keep recurring commission workflows reliable. - Identify repeated errors or manual steps and recommend practical improvements to controls, documentation, and processes.   Qualifications - Hands-on experience calculating, validating, or administering sales commissions or other variable-pay programs; experience owning a complete payout cycle is especially relevant. - Experience using AI tools and building AI-powered workflows to streamline sales compensation calculations, reconciliations, and reporting, with the ability to validate outputs for accuracy and protect confidential compensation data. - Strong Excel or spreadsheet skills, including working with detailed datasets, formulas, reconciliations, and error checks. - Careful, methodical approach to validating inputs, tracing variances, documenting assumptions, and protecting confidential compensation information. - Clear written and verbal communication skills, with the ability to explain calculations and policy details to sales and finance partners in plain language. - Collaborative approach to working with Finance, Sales, Revenue Operations, and Payroll teams.   Desirable - Experience with a sales compensation platform such as CaptivateIQ, Spiff, Xactly, or a similar system. - Familiarity with Salesforce or another CRM, sales quota and attainment data, or quota adjustments. - Experience supporting variable compensation in a B2B SaaS or technology business. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Copenhagen, Denmark; Gentofte, Denmark; Hellerup, Denmark; Charlottenlund, Denmark; Lyngby, Denmark Forvandl din passion for luksus til en karrieremulighed. Udforsk verdenen af premium-mærker, og skab en varig indflydelse inden for mode, skønhed, smykker eller biler. Om rollen: Som luksusbrandevaluator træder du ind i luksusverdenen for diskret at vurdere kundeoplevelser og levere værdifuld feedback, der hjælper mærker med at forbedre deres tjenester. Uanset om du besøger butikker, køber online eller returnerer et produkt, vil din stemme forme fremtiden for luksus. Fleksibilitet – Hvert butiksbesøg varer cirka 20 minutter, hvilket giver dig fleksibilitet til at udføre flere opgaver. Hyppige muligheder – Udfør flere missioner om måneden og samarbejd med nogle af verdens mest prestigefyldte mærker. Hvad du skal gøre: Vælg dine opgaver – Tilpas dine missioner til dine personlige præferencer og din profil. Besøg luksusbutikker eller vurder online – Interagér med salgsassistenter i butikkerne eller hjemmefra online. Observer nøje – Undersøg stemningen, servicekvaliteten og den overordnede kundeoplevelse. Giv ærlig feedback – Brug vores platform til at dele dine observationer via spørgeskemaer. Fordele ved rollen: Samarbejd med ikoniske mærker på tværs af brancher. Fleksible opgaver skræddersyet til dine interesser. Kompensation for din tid og indsats med mulighed for refusion af køb. En brugervenlig platform til at administrere missioner og feedback. Sådan bliver du en del af CXG-fællesskabet: Registrer dig: Tilmeld dig på live.cxg.com og bekræft din e-mail. Udfyld din profil: Indtast dine oplysninger 100%, og få din profil verificeret. Bliv certificeret: Bestå General Certification for at få adgang til missioner. Ansøg om missioner: Udforsk opgaver med mærker, der interesserer dig. Start evaluering: Begynd at gøre en forskel på luksusmarkedet. Kompensation: Ikke-købsevalueringer: Tjen et honorar baseret på missionens kompleksitet. Købsevalueringer: Refusion for godkendte varer som angivet i missionens beskrivelse. Om CXG Hos CXG forbinder vi premium-mærker med over 80.000 evaluatorer i 70 lande. Med 12 globale kontorer og næsten to årtiers ekspertise inden for detailhandel med kundeoplevelser er vi dedikerede til at omdefinere kundeoplevelsen for luksusgiganter. Bliv en del af os, og nyd fleksibiliteten ved at arbejde på farten med vores mobilplatform, CXG Live. På denne platform kan du nemt administrere missioner, certificeringer og feedback. Requirements Skal være 18 år eller ældre. Nuværende kunde hos premium- og luksusmærker. Må ikke være under kontrakt med nogen detailmærker for at sikre upartiskhed. Præcis, organiseret, detaljeorienteret og pålidelig. Observerende og passioneret omkring kundeoplevelser. Ingen tidligere erfaring er nødvendig; vi værdsætter ærlig feedback fra ægte kunder.

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

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

Location: United States Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located. Role Overview: We are looking for an experienced Head of Conversion Rate Optimization (CRO) to lead our conversion optimization strategy and improve the overall performance of our Direct-to-Consumer (DTC) e-commerce funnels. Key Responsibilities: Build and manage a structured CRO testing system to track experiments, hypotheses, results, and key learnings. Analyze the entire customer journey, from landing pages to checkout, to identify conversion bottlenecks and optimization opportunities. Develop and prioritize a CRO roadmap focused on improving conversion rate, Average Order Value (AOV), and revenue per session. Plan, execute, and analyze A/B tests and other experiments to continuously improve funnel performance. Work closely with developers and graphic designers to implement landing page improvements, checkout optimizations, and other CRO initiatives. Optimize product pages, landing pages, offers, upsells, and checkout flows to improve the customer experience and maximize revenue. Monitor experiment performance, evaluate results, and turn successful tests into actionable improvements. Balance conversion-focused strategies with brand consistency and a seamless customer experience. Eventually recruit, manage, and lead a team of CRO specialists, establishing workflows and performance expectations. Requirements Proven experience in Conversion Rate Optimization (CRO), preferably in a leadership or senior-level position. Strong background in Direct-to-Consumer (DTC) and direct-response marketing, with hands-on experience optimizing e-commerce funnels. Previous experience working with supplement, health and wellness, or beauty brands. Supplement industry experience is strongly preferred. Demonstrated success improving conversion rates, Average Order Value (AOV), and revenue per session through structured experimentation. Hands-on experience planning, executing, and analyzing A/B tests and other CRO experiments. Strong understanding of funnel analytics, customer behavior, landing page optimization, and checkout performance. Experience collaborating directly with developers to implement and launch CRO tests. Ability to work closely with graphic designers to translate optimization strategies into effective visual experiences. Strong analytical and problem-solving skills, with the ability to identify performance bottlenecks and prioritize high-impact opportunities. Experience building testing frameworks, maintaining experiment documentation, and turning insights into actionable improvements. Preferred Qualifications Experience with CheckoutChamp or similar checkout and funnel optimization platforms. Previous experience hiring, managing, or leading CRO specialists. Familiarity with brand building and balancing direct-response marketing strategies with long-term brand positioning. Experience scaling CRO processes within high-growth DTC e-commerce businesses. Familiarity with analytics and experimentation tools used to track funnel performance and measure test results. Benefits Remote Working for a US Company Competitive Salary

Location: London, UK DataArt’s Travel, Transportation & Hospitality Practice is looking for a client-facing professional. The role connects advanced AI tools to real business impact and involves working with client account teams and the AI + Data Lab across 50+ active travel accounts to find high-value use cases, prototype fast, validate with stakeholders, and drive adoption from C-suite to delivery teams. The role covers the journey from prototype to production. You will define how solution quality is measured once a solution is live and design for the controls enterprise clients operate under. Lead ideation and scoping of AI and ML proofs of concept with client account leaders Prototype AI features such as copilots, NLP services, and recommender systems Own the full lifecycle from internal demo and stakeholder validation to client presentation and the path to production Direct internal teams to execute with clarity, velocity, and alignment Build GenAI applications using RAG variations, agentic and hybrid models, cloud AI services, LLM APIs, vector search, and agentic SDKs Integrate AI solutions with Snowflake and Databricks Define how solution quality is measured in production through evaluation sets, accuracy checks, groundedness checks, drift detection, human in the loop checkpoints, and audit records Define reusable AI building blocks and travel specific agent scaffolds for internal delivery practices Shape internal best practice for GenAI across delivery Embed AI into client products and operations for personalization, crew operations, service automation, disruption handling, post booking servicing, reconciliation, and refunds Run workshops with client teams and business leaders Act as a translator and evangelist for responsible AI adoption and ROI Hands on experience with AI services from at least one major cloud such as Azure, AWS, or GCP Experience designing and implementing RAG based applications Experience taking AI solutions beyond pilot into production Experience validating AI solution performance before go live and monitoring it after release Practical understanding of AI evaluation including defining workflow correctness, building test sets, and measuring accuracy and groundedness Strong background with Snowflake and or Databricks for data engineering and AI pipelines Proven success leading client facing proofs of concept or MVPs from inception to delivery at Director level or above Ability to turn ambiguous business goals into scoped, testable, and scalable initiatives Fluency in open source versus commercial model tradeoffs and cost efficient architecture Prior exposure to the travel, transportation, or hospitality sector Experience with vector databases Experience with context engineering Experience with orchestration frameworks such as LangChain or Semantic Kernel Familiarity with fine tuning and understanding of when it is worth the effort Experience with agentic loop engineering Experience with AI observability or evaluation tooling Awareness of responsible AI practices including fairness, explainability, and usage boundaries