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Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Engineering Platform team helps 300+ Ramp engineers move faster without breaking things. We work across the full software development lifecycle, including local development, CI/CD, testing, service frameworks, reliability, architecture, performance, and maintenance. Platform engineers on this team do not wait for a roadmap to be handed to them. They find high-leverage problems, validate them with engineers and data, ship solutions, and iterate until those solutions are trusted, adopted, and durable. Agentic development has expanded our mission. We are building the systems that let engineers and AI agents work together effectively in Ramp’s large, complex codebases: clear abstractions, orchestration, reliable workflows, fast feedback loops, and strong guardrails are now even more important. These platform investments unlock agentic workflows that can plan, execute, test, review, and ship meaningful changes, helping every engineer and agent at Ramp maximize their impact. What You'll Do - Improve Ramp’s development workflows across CI/CD, testing, local development, code review, deploys, and remote environments. - Design paved paths for high-frequency engineering tasks, including service creation, migrations, reliable background jobs, and safe production changes. - Help Ramp’s codebase and infrastructure scale by improving modularity, performance, reliability, and maintainability across our Python monolith, internal libraries, and database systems. - Identify repetitive or error-prone engineering workflows, then build automation that helps engineers and AI agents complete them faster, more consistently, and more safely. - Turn recurring sources of friction or risk into reusable systems, workflows, and defaults that teams actually adopt. What We're Looking For - You think in systems across code, infrastructure, workflows, reliability, performance, and people. - You have built and led improvements to systems that make other engineers more effective, including developer tooling, CI/CD, test infrastructure, service frameworks, or large-scale codebase architecture. - You are comfortable with ambiguity and ownership. You can identify problems, align stakeholders, make tradeoffs, ship useful solutions, and iterate. You dive into whatever part of the tech stack or process is necessary to solve problems. - You understand that speed and quality go hand in hand: the best platforms make safe, high-quality engineering feel faster, not slower. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Dubai, United Arab Emirates; New York, United States; California City, United States AHS is seeking a visionary and highly skilled Head of Artificial Intelligence & Data Intelligence to lead our AI and data initiatives. In this executive role, you will drive innovation through advanced data analytics, machine learning, and AI technologies to support business strategies, optimize operations, and enhance decision-making processes across the organization. You will collaborate with cross-functional teams to identify opportunities, develop AI-driven solutions, and maintain data governance standards. Key Responsibilities Develop and execute the AI and data intelligence strategy in alignment with company goals. Lead teams of data scientists, AI engineers, and analysts to design, develop, and deploy AI models and data solutions. Oversee the collection, processing, and analysis of large datasets to extract actionable insights. Promote the adoption of AI and analytics tools across departments to improve efficiency and innovation. Ensure data quality, compliance with data privacy regulations, and ethical AI practices. Collaborate with IT and business leaders to integrate AI solutions into existing systems and workflows. Stay abreast of emerging AI and data technologies and industry best practices. Present insights and strategic recommendations to senior leadership and stakeholders. Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field; PhD preferred. 8+ years of experience in AI, data science, or data engineering roles, with at least 3 years in a leadership capacity. Proven expertise in machine learning, deep learning, natural language processing, and data analytics. Strong programming skills in Python, R, or similar languages. Experience with AI frameworks and big data technologies (e.g., TensorFlow, PyTorch, Hadoop, Spark). Demonstrated ability to lead and manage cross-functional teams. Excellent communication and presentation skills, capable of translating complex data concepts to business audiences. Solid understanding of data governance, privacy laws, and ethical considerations in AI. Strategic mindset with a results-oriented approach. Experience in real estate or related industries is a plus. Benefits Why Join AHS? Innovative Environment : Be part of a forward-thinking company that embraces innovation and creativity in the luxury real estate market. Career Advancement : Enjoy opportunities for professional growth and development, with a clear path for career progression. Collaborative Culture : Join a team-oriented environment where collaboration and mutual support are highly Competitive Compensation : Receive a competitive salary and benefits package that rewards your hard work and dedication. Work-Life Balance : Enjoy a supportive work environment that values work-life balance and employee well-being. Please Note: Due to the high volume of applications we receive, only shortlisted candidates will be contacted. We appreciate your understanding.

Location: Philippines; South Africa; Mexico; Colombia; Argentina; Honduras About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a fast-growing automation-focused company helping small and medium-sized businesses streamline operations using cutting-edge AI solutions. They specialize in deploying practical, results-driven automation systems powered by LLMs and workflow tools, while also building scalable internal infrastructure for long-term efficiency. Job Summary We’re hiring an AI Engineer to design, build, and deploy AI-powered automation workflows for real-world business use cases. This is a hands-on, execution-focused role where you’ll rapidly implement solutions using tools like n8n, Go High Level, and LLM APIs—while also contributing to the development of more scalable, in-house AI systems over time. If you’re looking for a remote AI engineering job that blends prompt engineering, automation, and system design, this role offers strong growth potential and meaningful impact. Key Responsibilities Build and deploy AI automation workflows using tools like n8n, Zapier, and Go High Level Integrate and optimize LLM APIs (OpenAI, Claude, etc.) for business use cases Quickly deliver functional automation systems for client requirements Design and improve internal AI infrastructure to reduce reliance on third-party tools Debug, test, and refine workflows for performance and reliability Collaborate with an operations/project manager to gather requirements and iterate on solutions Continuously explore new AI tools and frameworks to improve system capabilities Requirements Proven experience working with LLMs and AI APIs (e.g., OpenAI, Claude) Strong understanding of automation tools such as n8n, Zapier, Go High Level, or similar platforms Ability to balance rapid implementation with long-term system scalability Solid problem-solving skills with experience debugging workflows and integrations Experience connecting APIs, webhooks, and third-party tools Clear and professional English communication skills Bonus: Experience with Python, backend systems, or building custom AI pipelines (e.g., RAG systems) Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. 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. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity OKX's Trading Products team owns the core trading experience across Spot, Margin, and Perpetual/Futures — spanning the full user journey from pre-trade decision-making, through order execution, to post-trade settlement and risk management. As our trading volumes and product complexity continue to grow globally, we are looking for a Trading Product Manager who can own and evolve both the user-facing trading experience and the underlying trading mechanics that power it. This role sits at the intersection of product design and trading logic. You will work on how users discover, price, place, and manage trades (pre-trade / trade / post-trade), while also owning the correctness and soundness of the core mechanisms beneath the surface — margin models, funding rate formulas, liquidation logic, risk parameter design, and order/matching behavior. You will work closely with engineering, risk, quant, and design teams to ship trading features that are intuitive for users and rigorous under the hood. What You’ll Be Doing Start from users and the market to uncover real trading-experience needs — Continuously surface user pain points through user research, behavioral data, community feedback, and conversations with active traders, ensuring product direction is grounded in real signal rather than internal assumptions. Benchmark against industry best practices to build best-in-class trading product competitiveness — Continuously track developments in crypto and traditional finance markets and the latest moves from leading products, translating external insight into concrete product opportunities that keep our trading experience and competitiveness ahead of the industry. Build and continuously refine the end-to-end trading experience — Own the full journey across pre-trade (market data presentation, decision-support tools, leverage/margin setup, risk disclosures), trade (order flow, execution feedback, order book/depth interaction), and post-trade (position management, PnL display, settlement statements) — from defining requirements through to shipping the solution. Drive efficient cross-team collaboration with mature program-management execution — Bring a complete product methodology, independently write rigorous PRDs, and lead alignment and coordination across engineering, risk, quant, design, and compliance. Own the full project lifecycle — from requirements definition and solution design, through development scheduling, to launch validation and post-launch review — ensuring every stage closes the loop with a clear outcome, without relying on others to drive progress. Apply rigorous quantitative thinking to understand and reason about trading mechanics — Bring strong logical reasoning and quantitative analysis skills, with the ability to learn fast and quickly master core trading mechanisms such as margin, leverage, funding rates, and liquidation. Candidates with a deep understanding of trading systems are preferred. What We Look For In You We are open to two types of candidates for this role: (a) Experienced Trading Practitioners Prior hands-on experience in trading — either within crypto (exchange product, quant, trading desk) or in traditional finance (equities, futures, FX, derivatives) — with direct exposure to how trading products and mechanisms are designed and operated. Solid understanding of core trading concepts: margin/leverage, order types, market microstructure, risk management, and P&L mechanics. Comfortable reading and reasoning through trading formulas (e.g. mark price, funding rate, liquidation price) and translating them into clear product logic. (b) High-Potential Talent Strong quantitative/analytical foundation — a background in mathematics, physics, statistics, engineering, or a related quantitative discipline, with strong academic performance. High self-drive and fast learning ability — demonstrated track record of picking up complex, technical domains quickly and independently, even without prior trading experience. Genuine intellectual curiosity about financial markets and trading mechanics, with the rigor to work through formulas and edge cases rather than relying on surface-level understanding. Common requirements for both profiles: 3+ years of product management experience (or equivalent hands-on experience in quant/trading roles for candidates from profile (a)). Strong technical intuition — comfortable discussing system architecture and data flows with engineers, and reasoning through quantitative models. You don't need to be a developer, but you think with the rigor of one. Excellent communication skills — able to write a precise, technically sound PRD, and to explain complex trading mechanics clearly to both technical and non-technical stakeholders. High agency and execution velocity — comfortable operating in ambiguity, moving from open question to shipped solution, and making decisions with incomplete information. Genuine passion for crypto and trading — actively uses trading products, understands order types and market microstructure, and can explain how margin, leverage, or liquidation mechanics work. Ideally, you have skin in the game. Proficiency in Mandarin is required to communicate effectively with internal engineering and product stakeholders in the China-based R&D center. Nice-To-Haves Experience with derivatives products (perpetual futures, options) either as a builder or an active trader. Familiarity with risk parameter design (margin tiers, liquidation engines, insurance funds) at an exchange or financial institution. Quantitative modeling experience (e.g. Python, SQL) sufficient to validate trading formulas or backtest mechanism changes. Prior work in a high-growth crypto exchange, trading firm, or fintech company. Fluency in English is preferred to better support communication with global product and business stakeholders. Perks & Benefits Competitive total compensation package L&D programs and education subsidy 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! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. 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: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. 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. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity OKX's Trading Products team owns the core trading experience across Spot, Margin, and Perpetual/Futures — spanning the full user journey from pre-trade decision-making, through order execution, to post-trade settlement and risk management. As our trading volumes and product complexity continue to grow globally, we are looking for a Trading Product Manager who can own and evolve both the user-facing trading experience and the underlying trading mechanics that power it. This role sits at the intersection of product design and trading logic. You will work on how users discover, price, place, and manage trades (pre-trade / trade / post-trade), while also owning the correctness and soundness of the core mechanisms beneath the surface — margin models, funding rate formulas, liquidation logic, risk parameter design, and order/matching behavior. You will work closely with engineering, risk, quant, and design teams to ship trading features that are intuitive for users and rigorous under the hood. What You’ll Be Doing Start from users and the market to uncover real trading-experience needs — Continuously surface user pain points through user research, behavioral data, community feedback, and conversations with active traders, ensuring product direction is grounded in real signal rather than internal assumptions. Benchmark against industry best practices to build best-in-class trading product competitiveness — Continuously track developments in crypto and traditional finance markets and the latest moves from leading products, translating external insight into concrete product opportunities that keep our trading experience and competitiveness ahead of the industry. Build and continuously refine the end-to-end trading experience — Own the full journey across pre-trade (market data presentation, decision-support tools, leverage/margin setup, risk disclosures), trade (order flow, execution feedback, order book/depth interaction), and post-trade (position management, PnL display, settlement statements) — from defining requirements through to shipping the solution. Drive efficient cross-team collaboration with mature program-management execution — Bring a complete product methodology, independently write rigorous PRDs, and lead alignment and coordination across engineering, risk, quant, design, and compliance. Own the full project lifecycle — from requirements definition and solution design, through development scheduling, to launch validation and post-launch review — ensuring every stage closes the loop with a clear outcome, without relying on others to drive progress. Apply rigorous quantitative thinking to understand and reason about trading mechanics — Bring strong logical reasoning and quantitative analysis skills, with the ability to learn fast and quickly master core trading mechanisms such as margin, leverage, funding rates, and liquidation. Candidates with a deep understanding of trading systems are preferred. What We Look For In You We are open to two types of candidates for this role: (a) Experienced Trading Practitioners Prior hands-on experience in trading — either within crypto (exchange product, quant, trading desk) or in traditional finance (equities, futures, FX, derivatives) — with direct exposure to how trading products and mechanisms are designed and operated. Solid understanding of core trading concepts: margin/leverage, order types, market microstructure, risk management, and P&L mechanics. Comfortable reading and reasoning through trading formulas (e.g. mark price, funding rate, liquidation price) and translating them into clear product logic. (b) High-Potential Talent Strong quantitative/analytical foundation — a background in mathematics, physics, statistics, engineering, or a related quantitative discipline, with strong academic performance. High self-drive and fast learning ability — demonstrated track record of picking up complex, technical domains quickly and independently, even without prior trading experience. Genuine intellectual curiosity about financial markets and trading mechanics, with the rigor to work through formulas and edge cases rather than relying on surface-level understanding. Common requirements for both profiles: 3+ years of product management experience (or equivalent hands-on experience in quant/trading roles for candidates from profile (a)). Strong technical intuition — comfortable discussing system architecture and data flows with engineers, and reasoning through quantitative models. You don't need to be a developer, but you think with the rigor of one. Excellent communication skills — able to write a precise, technically sound PRD, and to explain complex trading mechanics clearly to both technical and non-technical stakeholders. High agency and execution velocity — comfortable operating in ambiguity, moving from open question to shipped solution, and making decisions with incomplete information. Genuine passion for crypto and trading — actively uses trading products, understands order types and market microstructure, and can explain how margin, leverage, or liquidation mechanics work. Ideally, you have skin in the game. Proficiency in Mandarin is required to communicate effectively with internal engineering and product stakeholders in the China-based R&D center. Nice-To-Haves Experience with derivatives products (perpetual futures, options) either as a builder or an active trader. Familiarity with risk parameter design (margin tiers, liquidation engines, insurance funds) at an exchange or financial institution. Quantitative modeling experience (e.g. Python, SQL) sufficient to validate trading formulas or backtest mechanism changes. Prior work in a high-growth crypto exchange, trading firm, or fintech company. Fluency in English is preferred to better support communication with global product and business stakeholders. Perks & Benefits Competitive total compensation package L&D programs and education subsidy 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! 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: Ukraine; Poland; Spain; Romania; Portugal About Us At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Senior Engineering Manager to join us as part of our team. About the role PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. As a member of the Product and Engineering team at PitchBook, you will be part of a group of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. As a Senior Engineering Manager in the Technology & Engineering division, you will be responsible for managing and growing several self-organized engineering teams, driving delivery excellence, and representing development direction at a strategic level. You will collaborate closely with engineering leads, product managers, and senior stakeholders to ensure alignment, performance, and team success. Tech Stack: Java, Python, TS/JS/React, GCP, Vertex AI, AWS, Bedrock etc Team setup: 2-5 teams Work Environment: ​​flexible As a qualified expert You will Manage and grow multiple engineering teams and their leaders within a business unit or product area. Cultivate technical excellence and a culture of continuous learning across teams. Participate in and supervise discussions on key technical decisions, delivery expectations, and people allocation. Represent the development direction at the strategic (VP) level, including plans, results, metrics, and capabilities. Drive AI tool adoption to improve team efficiency and delivery speed. Encourage learning through AI-assisted development and automation. Coach teams on best practices for software delivery, estimation, stakeholder communication, and continuous improvement. Ensure clear goals, priorities, and resource allocation while maintaining technical excellence and innovation. Foster a culture of trust, transparency, collaboration, and constructive feedback. Maintain high morale and motivation, especially during challenging circumstances. Balance business, team, and individual needs through effective communication and decision-making. Recognize team achievements and help teams learn from challenges or failures. Manage staffing, including hiring new team members aligned with company values and culture. Monitor and assess team performance, conduct performance reviews, and ensure fair compensation processes. Support the adoption of DevOps practices and modern engineering methodologies. We’re looking for you if you have Mature understanding of the manager’s role, with a strong product- and results-oriented mindset, demonstrating strong ownership and focus on delivering outcomes. 7+ years of hands-on experience in software development, primarily with the Java stack. 3+ years of experience managing one or more engineering teams (25+ individuals) in a modern software development environment. Strong understanding of modern software development processes, frameworks, and their practical trade-offs. Knowledge of contemporary software engineering technologies and their applications to real-world problems. Understanding of AI tools, prompting, and workflow automation in software engineering. Ability to assess AI outputs and apply them to improve efficiency and quality. Familiarity with DevOps culture and practices. Strong interpersonal skills combining empathy, business acumen, and the ability to set expectations and provide feedback. Open-mindedness, willingness to learn, and courage to make progress-driving decisions. Excellent written and verbal communication skills in English. Bonus points Experience leading the development of complex, distributed software systems requiring deep domain or technical expertise. Experience with Agile or other value-stream-based framework transformations. Proven success in building high-performing software development teams from the ground up. Experience managing teams using metrics related to motivation, performance, and time. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview steps Interview with the recruiter Manager screening Tech Interview HR Interview Interview with Managing Director Product Interview (Client) Interview with VP, Technology & Engineering (Client)

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Voice is becoming the internet’s next interface, but a production-grade Voice AI system is "hard to build" https://greylock.com/greymatter/voice-agents-easy-to-use-hard-to-build/. You’ll join a small founding team of Baseten Voice AI, focused on bringing state-of-the-art open source models into production for Voice AI customers across productivity, customer service, clinical conversation, creator tools, education, and more. You’ll make a meaningful impact on people’s daily lives and help reshape these industries. This is a high-impact, high-ownership role. You will be the primary owner of Baseten Voice AI - our in-house inference stack to power Voice AI models - from product roadmap through engineering implementation. You’ll partner closely with Forward Deployed Engineers, Model Performance Engineers, and sister engineering teams to push the boundaries of Voice AI. EXAMPLE INITIATIVES - Develop world-class model serving stack for state-of-the-art open-source voice models - reduce end-to-end and tail latency (p95/p99), increase throughput, and improve GPU efficiency via profiling, runtime tuning, and server-level optimizations. - Build large-scale, real-time infrastructure for multi-model voice agents - orchestrate STT, TTS, and agent components with streaming I/O to meet customer SLOs. - Design tight training and inference iteration loops for voice model customization - enable fast evaluation, safe rollout, and rapid experimentation for custom voice model development. - Past projects: - Baseten leads Coval’s voice AI benchmark https://www.baseten.co/blog/baseten-leads-covals-voice-ai-benchmark/ - How Notion achieved 2-3x lower latency with AI Meeting Notes https://www.baseten.co/resources/customers/how-notion-acheived-2-3x-lower-latency-with-ai-meeting-notes/ - Cost-efficient, high-performance TTS with Qwen3-TTS https://www.baseten.co/blog/cost-efficient-high-performance-qwen3-tts/ - Fine-tuning Qwen3-TTS for high-quality voice cloning https://www.baseten.co/blog/fine-tuning-qwen3-tts-for-high-quality-voice-cloning/ - The fastest Whisper — with streaming and diarization https://www.baseten.co/blog/the-fastest-whisper-transcription-with-streaming-and-diarization/ - NVIDIA Nemotron 3 Diarization: real-time speaker labels at a cent per audio hour https://www.baseten.co/blog/nvidia-nemotron-3-diarization/ RESPONSIBILITIES - Own and lead Voice AI product areas end-to-end - from architecture and system design through implementation, rollout, and long-term production operations. - Design, build, and operate real-time, large-scale, high-performance model serving systems for STT, TTS, and voice agent workloads for mission-critical customer deployments - Drive cross-team collaboration with sister engineering teams to solve full-stack technical problems, align on priorities, and coordinate end-to-end delivery across the product surface area - Mentor teammates through code reviews, design docs, and technical leadership. REQUIREMENTS - Bachelor's degree or higher in Computer Science or related field - Proven track record owning production-grade real-time, large-scale systems where tail latency (p99) matters. - Proficient coding abilities in one or more popular programming or scripting languages; Python proficiency is a plus. - Good taste in product, particularly developer-oriented tools - Interest in ML/AI infrastructure and willingness to learn - Strong collaboration and communication skills - Comfortable using AI coding assistants (e.g., Claude Code, Codex, Cursor) as a daily productivity multiplier — as an AI-native company, we see this as a must-have skill. NICE TO HAVE - Experience implementing pipeline-level model runtime optimizations such as dynamic batching, async scheduling, or decode-side throughput improvements. - Experience building developer platforms: SDKs, CLIs, APIs, and self-serve workflows for ML or infrastructure products. - Experience with containerization and orchestration technologies (Docker, Kubernetes), service meshes, or distributed scheduling. - Familiarity with speech/audio ML models (STT, TTS, speech-to-speech) - Familiarity with model-serving runtimes (vLLM, TensorRT, ONNX). - Familiarity with systems-level performance profiling across host-device boundaries (e.g. PyTorch Profiler), diagnosing GPU utilization issues - Exposure to customer-facing engineering: pre-sales prototyping, technical discovery, or working directly with customers to ship solutions. 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; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and every action an agent takes is metered, budgeted, and settled through the billing platform this role owns. As a monetization engineer at Perplexity, you'll own the abstractions that let product teams ship new SKUs, run pricing experiments, and convert users into paying customers, without needing to understand billing internals. The usage-based billing system this team owns is foundational to Perplexity Computer and our agentic products: metering every agent action in real time, enforcing credit budgets, and settling costs across entirely new interaction models. You'll work across subscriptions, usage-based billing, and enterprise contracts to ensure every revenue path is reliable, observable, and easy to extend. Tech Stack: Python | Go | Stripe | PostgreSQL | AWS | Docker WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own the billing platform and monetization systems that power Computer and every paid experience across Perplexity. - Lead features end-to-end, from problem definition through technical design, implementation, and launch, including the billing API abstractions that let product teams ship new SKUs, pricing models, and monetization experiments with minimal friction. - Build and operate the subscription, invoicing, and usage-based billing systems that serve millions of users across consumer and enterprise plans. - Hill-climb on reliability: tiered SLOs organized by customer impact, proactive monitoring, and alerting to catch revenue-affecting issues before customers do. - Partner closely with Finance, Data Science, Growth, Security, Support, and go-to-market teams to keep billing data accurate, auditable, and compliant, and to expand payment method coverage and optimize authorization rates globally. - Build internal tooling that empowers Support and Finance to diagnose and resolve billing issues quickly. QUALIFICATIONS - 4+ years of professional software engineering experience. - Direct experience building or scaling billing, payments, subscription, or monetization systems. - Deep familiarity with payment processors (Stripe, Square, etc.), including subscriptions, invoicing, disputes, refunds, and webhooks. - Demonstrated experience and appetite for building in-house billing solutions that rival leading best-in-class buy options. - Strong backend engineering skills in Python with the ability to reason about complex distributed systems. - Experience with relational databases (PostgreSQL) and making data-informed decisions to prioritize work. - Strong product judgment, you translate user and stakeholder problems into simple, effective technical solutions. - Self-motivated with strong ownership instincts, you ship major features ahead of schedule and drive improvements without asking for permission. - Track record of cross-functional collaboration with Finance, Support, or Growth stakeholders. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - 2+ years of hands-on experience with the Stripe APIs and SDKs. - Experience with usage-based or metered billing models, especially metering agent actions, tokens, or other non-traditional units. - Experience with Apple and Google Play in-app purchase billing. - Familiarity with growth experimentation and PLG/self-serve SaaS monetization. - Experience building platform constructs that support pricing experiments and A/B testing. - Full-stack experience (our frontend is Next.js/React/TypeScript). - Experience in a regulatory or compliance-heavy billing environment. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: Montreal, Canada The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized. Tasks summary: Architecture Concept & Requirements • Establish functional, performance, environmental and security requirements with mission stakeholders & CONOPs. • Translate requirements into clear payload performance parameters and maintain bidirectional traceability throughout the project lifecycle. • Establish with cybersecurity team payload‑specific requirements & embed resilience and security by design. Payload Architecture Definition • Define the overall digital regenerative payload architecture (optical/RF ISLs, antenna arrays, digitizers/ onboard processing, Feeder links, master reference oscillator & clock synchronizations). • Define Interface Control Documents (ICDs) with spacecraft bus, ground segment and payload specific subsystems. • Define high‑speed data‑bus I/F (Serdes, SpaceWire, SpaceFibre, Ethernet, CAN, fiber). Trade‑Study & Technology Road‑Mapping • Lead trade‑offs for technologies, ASIC/FPGAs/SoCs, high‑speed data‑bus, and on‑board processing algorithms, PVT. • Identify emerging technologies and incorporate them into the company’s long‑term roadmap. System Modeling & Performance Simulation • Build end‑to‑end models of the signal chain (optical/RF, analog/digital) using MATLAB/Simulink, SystemView or Python‑based toolkits. • Run Monte‑Carlo and tolerance analyses to verify gain, SNR, dynamic range, spectral efficiency, G/T, EIRP and other key metrics. • Optimize payload design and performance with operation with traffic models/CONOPs. Simulation & Analysis • Oversee performance simulations & analysis (Gain, Spurious, Linearity, SNR, dynamic range, spectral efficiency, pointing, G/T, EIRP…etc.) and tolerance budgeting. • Optimize Payload DC power budget with traffic & utilization models. Hardware & Firmware • Own system‑level specifications to hardware designers, review schematics, layouts, thermal & mechanical interfaces. • Oversee MODCODs selection and on‑board processing pipelines; define BIST, timing, latency and deterministic behavior. Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Act as the primary technical liaison with Electrical, Power, Structures, Thermal, Software, Ground Segment and Mission Operations teams to resolve integration issues early. • Support payload design authority in System design reviews and Mission Operations hand‑over. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Author Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test, environmental and electromagnetic compatibility (EMC) test campaigns. • Define test‑automation framework set‑up, test‑case definition, results analysis and test‑report certification. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to the company’s knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Ensure all artefacts, analysis, software, deliverables and documentation are version controlled in PLM environment. • Chair design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation. On Orbit & Operations Support • Technical support to Mission Operations for routine payload health monitoring, contingency handling and performance trending. • Lead root‑cause investigations for on‑orbit anomalies; update design baselines and lessons‑learned. • Analyze on‑orbit telemetry, update filter parameters, and generate performance reports. • Define SOOH and associated operator training. Required Qualifications:  B.Sc. in Electrical Engineering, Aerospace or Physics (M.Sc. preferred) with 12 + years of digital regenerative payload system design experience on LEO/MEO missions.  Comprehensive knowledge of digital regenerative communications, SDR, DSP, DVB RCS/SX protocols, Modulation schemes, Class of Service, Networking, MPLS, 2G, 5G, NTN.  Strong technical writing ability (requirements, ICDs, test procedures, risk reports) and presentation skills; comfortable interfacing with customers, suppliers and senior leadership.  Strong understanding of aerospace system engineering fundamentals.  Hands-on individual who can support systems integration processes and capability to test systems and resolve problems.  Experience with Confluence and JIRA.  Demonstrated capability to efficiently work with little supervision.  Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity.  Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: South Africa; Philippines; Pakistan; Argentina; Mexico; Colombia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe & Australia. Unlike an outsourcing agency, we place you directly with a client where you're hired in-house to work as a valued member of their team. Please note that by applying & completing our interview process, you will be added to our community. This means you’ll be considered for this and all other possible roles that may match your skills. These potential opportunities will be sent your way as an exclusive Huzzle candidate. Job Type: Full-time Location: Remote Start Date : Immediate About the Company Our client is an innovative AI-driven company focused on building and deploying “AI employees” that automate business workflows and enhance operational efficiency. They specialize in integrating cutting-edge automation tools and large language models (LLMs) to streamline client operations across multiple industries. Job Summary We are seeking a highly skilled Technical Project Manager with hands-on experience in workflow automation and AI/LLM integrations. This role is ideal for someone who can bridge technical execution and business strategy—leading projects that involve tools like n8n, Zapier, and AI platforms such as OpenAI, Gemini, and Claude. You will manage end-to-end delivery of automation and AI-driven initiatives, working closely with developers, stakeholders, and cross-functional teams to ensure projects are delivered on time, within scope, and aligned with business objectives. Key Responsibilities Lead and manage technical projects focused on automation and AI implementation Design and oversee workflows using tools like n8n, Zapier, Make (Integromat), or similar platforms Coordinate the integration of LLM APIs (e.g., OpenAI, Gemini, Claude) into business processes Collaborate with engineering, product, and operations teams to define project scope and deliverables Translate business requirements into technical specifications and actionable tasks Monitor project timelines, budgets, and performance metrics Identify risks, troubleshoot issues, and ensure smooth project execution Optimize workflows and processes for scalability and efficiency Maintain clear communication with stakeholders and provide regular updates Requirements 3+ years of experience as a Technical Project Manager or similar role Proven experience with automation tools (n8n, Zapier, Make, etc.) Hands-on experience working with LLMs and AI tools (OpenAI, Gemini, Claude, or similar) Strong understanding of APIs, integrations, and system architecture Experience managing remote technical teams and cross-functional stakeholders Familiarity with Agile, Scrum, or other project management methodologies Excellent problem-solving, communication, and organizational skills Ability to balance technical depth with business impact Background in SaaS, AI startups, or automation-focused environments Experience with prompt engineering and AI workflow design Basic coding knowledge (Python, JavaScript, or similar) Experience with CRM systems and data pipelines Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: San Francisco; Palo Alto; New York City By applying to this role, you will be considered for engineering roles across all teams at Perplexity. WE ARE HIRING BUILDERS TO JOIN OUR HIGHLY LEVERAGED ENGINEERING TEAM FOR CREATING NEW PRODUCTS THAT INNOVATE AND ACCELERATE HUMAN PRODUCTIVITY In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. As an engineer at Perplexity, your role will be to build products and systems that define how AI empowers humans to think, decide and act. You’ll ship fast and work between product, infrastructure and frontier level advancements in technology. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own product and platform systems for Computer - Lead features, projects and products end-to-end, from problem definition to technical design, implementation, and launch. - Hill climb on hard problems, continuously iterating to improve for ourselves and customers. - Partner closely with engineers, product managers, designers, data scientists, and go-to-market teams. - Build systems that take into account the nuances of AI, working with agents, context, evaluation, personalization and the ground truth. QUALIFICATIONS - 4+ years of professional software engineering experience. - Strong experience in at least one general-purpose programming language such as Python, Go, TypeScript, JavaScript, Kotlin, Swift, Rust, Java, or C++. - Experience building and operating production systems at a meaningful scale. - Strong product judgment and the ability to translate user problems into simple, effective technical solutions. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Experience with LLMs, agents, retrieval systems, personalization, or evaluation frameworks. - Time spent at a fast-growing startup or on a high-ownership engineering team. - Founded a company or initiative. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Задачи: — Тестирование On-Prem решений и системного ПО на ОС Astra Linux и RedOS. — Перевод сервисов Wiki Tracker Forms на ОС Astra Linux и RedOS. — Сборка и тестирование ПО из исходников (C/C++, Go, Java, Python). — Работа со статическим анализом и сканерами безопасности. Требования: — Опыт тестирования On-Prem решений и/или системного ПО. — Уверенное администрирование Linux (Astra Linux, RedOS или близкие дистрибутивы). — Опыт сборки ПО из исходников (C/C++, Go, Java, Python - в зависимости от стека). — Понимание системных библиотек, динамической линковки, зависимостей. — Опыт работы со статическим анализом и сканерами безопасности. — Будет плюсом: Опыт участия в проектах с сертификацией (ФСТЭК, аналогичные процессы). — Будет плюсом: Знание требований к защищённым и изолированным контурам. — Будет плюсом: Навыки написания технической документации и отчётов для аудита. — Будет плюсом: Опыт анализа производительности и устойчивости в On-Prem средах. Условия: — Удаленная работа из любой точки РФ. — Полная занятость.

Location: Baku Workplace: onsite ABOUT YOU We are looking for a senior application security specialist to join a growing security team at Xsolla. This is a hands-on role where you will own security initiatives end-to-end - identifying, assessing, and driving remediation of security vulnerabilities across our products and infrastructure. You will lead day-to-day AppSec work - deep code reviews, vulnerability triage, threat modeling, and security testing - and set the standards for how this work is done. You are rigorous, pragmatic, and able to balance security risk against business velocity in a payment platform operating at scale. You will also mentor junior specialists and help raise the security bar across engineering teams. ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Own Vulnerability Management - Lead triage of bug bounty reports and scanner findings. Set severity standards, drive escalation policy, and ensure remediation SLAs are met across teams. Lead Security Assessments - Plan and conduct in-depth security assessments and penetration tests of web applications, APIs, and services. Define assessment scope and methodology. Drive Threat Modeling - Facilitate threat modeling sessions with engineering teams. Identify trust boundaries, data flows, and attack surfaces early in the design phase, and embed the practice into the SDLC . Own AppSec Tooling Strategy - Select, operate, and tune SAST , DAST , SCA , and secrets-scanning tooling. Design noise-reduction and auto-triage workflows; integrate security gates into CI/CD. Lead Secure Code Reviews - Perform security-focused code reviews across PHP, Python, and Go codebases. Define secure coding guidelines and review checklists for engineering teams. Mentor and Educate - Coach junior security specialists, run internal security training, and champion security awareness among developers. Write Clear Security Documentation - Document findings, reproduction steps, and remediation guidance in a way engineering teams can act on. Set the documentation standard for the team. What You Bring 4+ years in application security or a closely related security engineering role, with demonstrable ownership of AppSec programs or major initiatives. Deep Web Security Expertise - Expert-level understanding of vulnerability classes ( OWASP Top 10 and well beyond: SSRF , deserialization, request smuggling, OAuth/ OIDC flaws, business logic abuse). You understand root causes, exploitation chains, and realistic impact in production systems. Offensive Testing Proficiency - Extensive hands-on experience with Burp Suite and manual testing methodology. You can find vulnerabilities that scanners miss and chain low-severity issues into meaningful impact. Code Fluency - Comfortable reading and auditing code in at least one of: PHP, Python, Go, JavaScript. Able to trace data flows across services and spot vulnerable patterns without runtime access. Secure SDLC Experience - Practical experience embedding security into development workflows: security requirements, design review, CI/CD security gates, and developer enablement. Risk Communication - You can calculate and defend real severity, push back on inflated findings, and explain risk to both engineers and leadership in their own language. Analytical Thinking - You reason through problems methodically and can explain not just what a vulnerability is, but why it exists, how it is exploited, and what fixing it actually requires. Ownership and Follow-Through - You drive findings to resolution across team boundaries without being asked. Nice to Have Track record in bug bounty programs (accepted reports on major platforms) or notable CTF results; Strong automation skills - Python or Go for building internal security tooling; Experience securing cloud-native environments - GCP preferred; Kubernetes security a plus; Advanced certifications - OSWE , OSCP , BSCP , or GWAPT; Experience in payments, fintech, or other regulated environments ( PCI DSS familiarity); CVE credits, public security research, or conference talks. Xsolla operates across multiple time zones. Strong written communication is essential - you will need to document your work clearly so findings and context are not lost across handoffs. We value directness, intellectual honesty, and follow-through. If you do not know something, say so and find out. If you find something, explain it clearly and see it through to resolution.

Location: Espoo; Berlin Workplace: Hybrid - Senior DevOps Engineer – Core Platform Engineering - Location: Espoo, Finland / Berlin, Germany - Department: Platform & Release Engineering - Engineering - Reports to: Infrastructure Engineering Lead - Employment type: Permanent - Workplace model: Hybrid / Office - Employment is subject to applicable security screening (incl. SUPO) WHY THIS ROLE MATTERS: As a Senior DevOps Engineer, you’ll design and operate the core platform foundations that power ICEYE’s products, enabling secure, scalable, and reliable services across cloud and on-prem environments. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES - Design, operate, and evolve core platform components including Kubernetes, ingress, service mesh, and secrets management - Build and maintain reusable infrastructure modules using Terraform across AWS and on-prem environments - Define and implement observability standards, including metrics, logs, traces, dashboards, and alerting - Partner with product teams to guide platform adoption and enable scalable, platform-aligned architectures - Automate platform lifecycle processes including provisioning, upgrades, and scaling - Improve platform reliability, performance, and security through continuous iteration - Support and mentor engineers on best practices in Kubernetes, networking, identity, and observability - Reduce operational overhead through tooling, automation, and improved platform abstractions WHAT WE’RE LOOKING FOR MUST HAVES: - 5+ years of experience in DevOps, SRE, or Platform Engineering roles operating production systems - Strong hands-on experience with Kubernetes, including cluster operations, networking, and lifecycle management - Solid understanding of AWS fundamentals including networking, IAM, compute, and storage - Experience with infrastructure as code using tools such as Terraform - Practical experience with observability, including SLOs, metrics, logs, traces, and alerting - Proficiency in at least one backend language such as Python or Go - Strong Linux systems knowledge and troubleshooting skills - Ability to collaborate across teams and communicate effectively in English NICE TO HAVES: - Experience with Rancher, Istio, External Secrets, or Vault - Experience operating in restricted or air-gapped environments - Experience with identity systems such as FusionAuth or SSO integrations - Experience in regulated or mission-critical environments - Experience with hybrid infrastructure across AWS and on-prem platforms APPLICATION PROCESS - Recruiter interview - Hiring manager interview - Task Assignment - Technical interview - Final interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: New York City, NY; Remote-Friendly (Travel-Required) | San Francisco, CA | Washington, DC; 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 sits at the frontier of AI development, which makes us one of the most interesting targets in the world for nation-state and advanced criminal actors. The Threat Intelligence function within our Detection & Response team exists to make sure we see them coming. As a Threat Intelligence Engineer, you'll be a hands-on practitioner responsible for producing the actionable intelligence that drives our detections, hunts, and defensive priorities. You'll track the adversaries most likely to target a frontier AI lab, build the tooling and pipelines that turn raw indicators into operational defenses, and work shoulder-to-shoulder with detection engineers and incident responders to make sure intelligence actually changes outcomes. This is a builder's role on a small, high-leverage team — you'll have broad latitude to shape how threat intelligence is collected, analyzed, and operationalized at Anthropic. Responsibilities: Research, track, and report on threat actors and campaigns targeting AI labs, cloud infrastructure, and the broader technology sector — producing timely, actionable intelligence for Security Engineering stakeholders Build and maintain tooling and automated pipelines to collect, enrich, correlate, and operationalize indicators of compromise into our detection and alerting stack Develop and execute intelligence-driven threat hunts across endpoint, cloud, identity, and SaaS telemetry, and turn findings into durable detections Perform technical analysis of malware, phishing infrastructure, and attacker tooling to extract indicators, TTPs, and attribution signals Partner with Detection Engineering and Incident Response to translate intelligence into detection rules, hunting hypotheses, and incident context in near-real-time Curate and triage inbound intelligence from commercial feeds, open source, government, and trusted peer relationships — prioritizing what matters for Anthropic's threat model Contribute to threat models and risk assessments that inform security architecture and defensive investment across the enterprise Build and maintain external intelligence-sharing relationships with peer companies, ISACs, and government partners You may be a good fit if you: Have 5+ years of hands-on experience in cyber threat intelligence, threat hunting, or intrusion analysis at an organization facing sophisticated adversaries Have deep, demonstrable knowledge of specific nation-state or advanced criminal threat actors — their tooling, infrastructure patterns, tradecraft, and targeting Are a strong engineer: you write production-quality Python (or similar), have built automation and data pipelines, and don't need to hand requirements to someone else to get tooling built Are comfortable performing malware analysis, infrastructure analysis (passive DNS, certificate pivoting, netflow), and log analysis to develop and validate your own findings Have experience authoring detection logic (YARA, Sigma, Snort/Suricata, or SIEM-native queries) and understand what makes a detection durable vs. brittle Can write clearly and concisely — your intelligence products are read and acted on, not filed away Have an existing network in the threat intelligence community and a track record of productive bidirectional sharing Strong candidates may have: Experience defending cloud-native and research-heavy environments (AWS/GCP, Kubernetes, ML infrastructure, developer tooling and supply chain) Prior work operating in a threat intelligence role tracking sophisticated or state-sponsored adversaries, where your analysis directly informed detection, threat hunting, and incident response Experience applying LLMs or other AI tooling to accelerate intelligence collection, enrichment, and analysis Public research, conference talks, or open-source tooling contributions in the CTI space Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Ukraine; Spain; Poland; Portugal; Romania About Us At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. Now we are looking for a Senior ML Operations Engineer to join us as part of our team. About the role As a Senior ML Operations Engineer, you will support teams building and deploying AI-driven solutions, helping them overcome common challenges in the ML development, deployment, and support lifecycle. This role offers autonomy in decision-making, encouraging a proactive approach to solving complex issues and finding optimal solutions for scalable systems. About the project PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more. Team composition 1 Engineering Manager, 4 Senior ML Ops Engineers Work Environment The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology. As a qualified expert, You will Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation. Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment. Provide mentorship, technical guidance, and perform code reviews for team members. Design and deliver on projects end-to-end with little to no guidance. Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC. Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities. Support the vision and values of the company through role modeling and encouraging desired behaviors. Participate in various cross-functional company initiatives and projects as requested. Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value. Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance. We’re looking for you if you have Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or equivalent practical experience). 5+ years of hands-on software development experience with Python (Java experience with strong Python proficiency also considered). 4+ years of experience designing and building distributed software systems and architectures. 3+ years of hands-on experience deploying and operating Machine Learning services in production. Experience supporting ML lifecycle operations including post-deployment monitoring and maintenance. Experience in cloud-native stack, with a practical understanding of containerization technologies such as Kubernetes and Docker. Demonstrated experience with SQL and NoSQL database design and implementation. Ability to decompose complex problems into iterative, well-defined solutions. Strong problem-solving abilities with focus on building scalable, efficient, and maintainable systems. Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions. Ability to be a team player who can also work independently. Experience working across multiple development teams is a plus. Bonus points Experience with cloud platforms (AWS, Google Cloud Platform, or Azure). Proficiency in GitOps practices and CI/CD pipeline development and management. Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems. LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock). LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar). Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector). RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance. Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka. ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow. API development with FastAPI or similar frameworks. Java programming experience is a plus. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview steps Interview with the recruiter Live Coding (up to 30 min) Tech Interview: ML Fundamentals, Software Engineering (up to 60 min) ML System Design Interview (up to 45 min) Interview with Engineering Manager (60 min)

Location: South Africa; Philippines; Pakistan; Egypt; Poland; Romania About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Go-To-Market (GTM) Engineer to design, build, and optimize the systems that power outbound sales, lead generation, and revenue operations. This is a highly technical, revenue-facing role that sits at the intersection of sales, marketing, and engineering. You will be responsible for implementing scalable GTM infrastructure, automating workflows, integrating tools, and enabling sales teams to operate more efficiently. This role is ideal for someone with strong experience in CRM systems, sales automation tools, APIs, and data workflows. Key Responsibilities Build and maintain GTM systems across CRM, outbound tools, and data platforms Design and optimize automated outbound sales workflows and sequences Integrate tools such as CRM platforms (e.g., Salesforce, HubSpot), enrichment tools, and outreach platforms Develop scripts and workflows to improve lead routing, scoring, and qualification Collaborate with sales and marketing teams to improve pipeline generation Manage and maintain data integrity across systems Analyze performance metrics and optimize GTM processes for conversion and efficiency Implement AI and automation solutions to enhance outbound and inbound strategies Requirements 2–5+ years of experience in a GTM Engineering, RevOps, or Sales Operations role Strong experience with CRM platforms (e.g., HubSpot, Salesforce) Proficiency in automation tools (e.g., Zapier, Make, Clay, Outreach, Apollo) Basic to intermediate coding skills (JavaScript, Python, or similar) Experience with APIs, webhooks, and system integrations Strong understanding of outbound sales processes and lead generation Analytical mindset with experience working with sales data and KPIs Excellent communication skills and ability to work cross-functionally Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Poland; Lithuania; Slovakia; Romania; Hungary; Ukraine About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a highly skilled AI Automation Engineer to design, build, and optimize automated workflows using AI tools and integrations. This role is ideal for someone with a strong technical background who is passionate about leveraging AI (e.g., LLMs, APIs, and no-code/low-code tools) to eliminate manual processes and improve operational efficiency. You will work closely with cross-functional teams including sales, marketing, and customer success to implement intelligent automation systems that scale. Key Responsibilities Design and implement AI-driven automation workflows using tools like Zapier, Make (Integromat), and custom APIs Build and deploy solutions leveraging LLMs (e.g., OpenAI, Claude) for business process automation Integrate CRMs (HubSpot, Salesforce), support tools, and internal systems for seamless data flow Develop scripts and backend logic (Python, JavaScript) for advanced automation use cases Optimize lead generation, outreach, and customer support workflows using AI tools Monitor, troubleshoot, and improve automation performance and reliability Collaborate with stakeholders to identify automation opportunities across departments Stay updated with the latest AI and automation trends, tools, and best practices Requirements 2+ years of experience in automation, software engineering, or AI-related roles Strong experience with automation platforms (Zapier, Make, n8n, etc.) Proficiency in Python and/or JavaScript Hands-on experience with APIs, webhooks, and system integrations Familiarity with LLMs (e.g., OpenAI API) and prompt engineering Experience working with CRMs like HubSpot or Salesforce Strong problem-solving skills and ability to design scalable systems Excellent communication skills for working in a remote, global team Experience in SaaS, sales automation, or growth systems is a strong plus Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals