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Location: Canada At Flosum , we are building the world's best software for the modern enterprise. Our team is passionate about crafting elegant, high-performance products that delight our customers and set a new bar for engineering excellence. We combine deep expertise in cloud-native development with a relentless focus on quality, speed, and innovation. Every line of code we ship is built to scale, built to last, and built to make a real difference for the businesses that rely on us. We are a company where technologists lead, ideas win on merit, and shipping great software fast is a core value—not a slogan. If you believe world-class engineering teams are the ones that move quickly and build things right, you'll feel at home here. About the Role We are hiring a Director of Software Development to lead a team of 10 engineers building and scaling our Node.js and Salesforce-integrated products. This is a hands-on leadership role for a technical architect at heart who can compress delivery schedules, drive developer velocity, and own the performance of the overall solution. You will be the single point of accountability for turning our roadmap into shipped software—on time, at quality, and at scale. What You'll Own Lead, coach, and grow a team of 10 full-stack developers across Node.js services and Salesforce customizations. Drive measurable improvements in developer velocity using DORA metrics: lead time, deployment frequency, change failure rate, and MTTR. Compress delivery schedules by breaking epics into small, independently shippable slices and challenging inflated estimates with data. Architect end-to-end solutions spanning Node.js microservices, APIs, event-driven patterns, and Salesforce (Apex, Lightning, integrations). Own solution performance: latency, throughput, scalability, and cost—set SLOs and hold the team accountable to them. Establish estimation, sprint, and release discipline; remove blockers; enforce accountability without burning the team out. Partner with Product, QA, and Infrastructure to align roadmap, capacity, and dependencies. Recruit, onboard, and performance-manage engineers; build a culture of ownership and speed. Requirements 10+ years in software engineering with 5+ years leading development teams of 8–20 engineers. Deep, current hands-on experience with Node.js (Express/Nest, async patterns, performance tuning, microservices). Working knowledge of the Salesforce platform—Apex, Lightning Web Components, Flows, REST/Platform Events, and Node.js↔Salesforce integration patterns. Proven technical architect background: designed distributed systems, API contracts, data models, and performance-critical solutions in production. Track record of schedule compression —case studies where you measurably reduced cycle time or pulled in release dates without sacrificing quality. Strong estimation and planning discipline in Agile/Scrum or Kanban environments. Experience driving solution performance : profiling, caching, query optimization, horizontal scaling, and observability (APM, logs, traces). Cloud-native delivery experience (AWS preferred) with CI/CD, IaC, and modern DevOps practices. Excellent stakeholder communication—can negotiate scope vs. time vs. quality with executives. Success Metrics (First 6–12 Months) Reduce average lead time for changes and increase deployment frequency to meet DORA "high" or "elite" benchmarks. Ship the current roadmap on a compressed timeline agreed with leadership. Improve estimate accuracy (commit vs. deliver) to within an agreed tolerance. Meet or exceed performance SLOs for the Node.js + Salesforce solution stack. Retain and level-up the existing team while filling any skill gaps. Why Flosum At Flosum, we believe great software is built by great teams—and great teams are built by leaders who care deeply about both the craft and the people. You will have the autonomy, the talent, and the mandate to build something exceptional. If you want to lead a team that is setting the standard for what world-class software looks like, we want to talk to you.

Location: Belgium At Flosum , we are building the world's best software for the modern enterprise. Our team is passionate about crafting elegant, high-performance products that delight our customers and set a new bar for engineering excellence. We combine deep expertise in cloud-native development with a relentless focus on quality, speed, and innovation. Every line of code we ship is built to scale, built to last, and built to make a real difference for the businesses that rely on us. We are a company where technologists lead, ideas win on merit, and shipping great software fast is a core value—not a slogan. If you believe world-class engineering teams are the ones that move quickly and build things right, you'll feel at home here. About the Role We are hiring a Director of Software Development to lead a team of 10 engineers building and scaling our Node.js and Salesforce-integrated products. This is a hands-on leadership role for a technical architect at heart who can compress delivery schedules, drive developer velocity, and own the performance of the overall solution. You will be the single point of accountability for turning our roadmap into shipped software—on time, at quality, and at scale. What You'll Own Lead, coach, and grow a team of 10 full-stack developers across Node.js services and Salesforce customizations. Drive measurable improvements in developer velocity using DORA metrics: lead time, deployment frequency, change failure rate, and MTTR. Compress delivery schedules by breaking epics into small, independently shippable slices and challenging inflated estimates with data. Architect end-to-end solutions spanning Node.js microservices, APIs, event-driven patterns, and Salesforce (Apex, Lightning, integrations). Own solution performance: latency, throughput, scalability, and cost—set SLOs and hold the team accountable to them. Establish estimation, sprint, and release discipline; remove blockers; enforce accountability without burning the team out. Partner with Product, QA, and Infrastructure to align roadmap, capacity, and dependencies. Recruit, onboard, and performance-manage engineers; build a culture of ownership and speed. Requirements 10+ years in software engineering with 5+ years leading development teams of 8–20 engineers. Deep, current hands-on experience with Node.js (Express/Nest, async patterns, performance tuning, microservices). Working knowledge of the Salesforce platform—Apex, Lightning Web Components, Flows, REST/Platform Events, and Node.js↔Salesforce integration patterns. Proven technical architect background: designed distributed systems, API contracts, data models, and performance-critical solutions in production. Track record of schedule compression —case studies where you measurably reduced cycle time or pulled in release dates without sacrificing quality. Strong estimation and planning discipline in Agile/Scrum or Kanban environments. Experience driving solution performance : profiling, caching, query optimization, horizontal scaling, and observability (APM, logs, traces). Cloud-native delivery experience (AWS preferred) with CI/CD, IaC, and modern DevOps practices. Excellent stakeholder communication—can negotiate scope vs. time vs. quality with executives. Success Metrics (First 6–12 Months) Reduce average lead time for changes and increase deployment frequency to meet DORA "high" or "elite" benchmarks. Ship the current roadmap on a compressed timeline agreed with leadership. Improve estimate accuracy (commit vs. deliver) to within an agreed tolerance. Meet or exceed performance SLOs for the Node.js + Salesforce solution stack. Retain and level-up the existing team while filling any skill gaps. Why Flosum At Flosum, we believe great software is built by great teams—and great teams are built by leaders who care deeply about both the craft and the people. You will have the autonomy, the talent, and the mandate to build something exceptional. If you want to lead a team that is setting the standard for what world-class software looks like, we want to talk to you.

Location: Belarus At Flosum , we are building the world's best software for the modern enterprise. Our team is passionate about crafting elegant, high-performance products that delight our customers and set a new bar for engineering excellence. We combine deep expertise in cloud-native development with a relentless focus on quality, speed, and innovation. Every line of code we ship is built to scale, built to last, and built to make a real difference for the businesses that rely on us. We are a company where technologists lead, ideas win on merit, and shipping great software fast is a core value—not a slogan. If you believe world-class engineering teams are the ones that move quickly and build things right, you'll feel at home here. About the Role We are hiring a Director of Software Development to lead a team of 10 engineers building and scaling our Node.js and Salesforce-integrated products. This is a hands-on leadership role for a technical architect at heart who can compress delivery schedules, drive developer velocity, and own the performance of the overall solution. You will be the single point of accountability for turning our roadmap into shipped software—on time, at quality, and at scale. What You'll Own Lead, coach, and grow a team of 10 full-stack developers across Node.js services and Salesforce customizations. Drive measurable improvements in developer velocity using DORA metrics: lead time, deployment frequency, change failure rate, and MTTR. Compress delivery schedules by breaking epics into small, independently shippable slices and challenging inflated estimates with data. Architect end-to-end solutions spanning Node.js microservices, APIs, event-driven patterns, and Salesforce (Apex, Lightning, integrations). Own solution performance: latency, throughput, scalability, and cost—set SLOs and hold the team accountable to them. Establish estimation, sprint, and release discipline; remove blockers; enforce accountability without burning the team out. Partner with Product, QA, and Infrastructure to align roadmap, capacity, and dependencies. Recruit, onboard, and performance-manage engineers; build a culture of ownership and speed. Requirements 10+ years in software engineering with 5+ years leading development teams of 8–20 engineers. Deep, current hands-on experience with Node.js (Express/Nest, async patterns, performance tuning, microservices). Working knowledge of the Salesforce platform—Apex, Lightning Web Components, Flows, REST/Platform Events, and Node.js↔Salesforce integration patterns. Proven technical architect background: designed distributed systems, API contracts, data models, and performance-critical solutions in production. Track record of schedule compression —case studies where you measurably reduced cycle time or pulled in release dates without sacrificing quality. Strong estimation and planning discipline in Agile/Scrum or Kanban environments. Experience driving solution performance : profiling, caching, query optimization, horizontal scaling, and observability (APM, logs, traces). Cloud-native delivery experience (AWS preferred) with CI/CD, IaC, and modern DevOps practices. Excellent stakeholder communication—can negotiate scope vs. time vs. quality with executives. Success Metrics (First 6–12 Months) Reduce average lead time for changes and increase deployment frequency to meet DORA "high" or "elite" benchmarks. Ship the current roadmap on a compressed timeline agreed with leadership. Improve estimate accuracy (commit vs. deliver) to within an agreed tolerance. Meet or exceed performance SLOs for the Node.js + Salesforce solution stack. Retain and level-up the existing team while filling any skill gaps. Why Flosum At Flosum, we believe great software is built by great teams—and great teams are built by leaders who care deeply about both the craft and the people. You will have the autonomy, the talent, and the mandate to build something exceptional. If you want to lead a team that is setting the standard for what world-class software looks like, we want to talk to you.

Location: Europe; United States Workplace: Remote ABOUT CANTINA Cantina is a new social platform founded by Sean Parker with the most advanced AI character creator. Our bots are lifelike, social creatures that can interact wherever people are online—across voice, video, and text. Create yourself, imagine someone new, or choose from thousands of characters to share infinitely scalable, personalized content and seamless group chat. If you’re excited about how AI can shape creativity and social interaction, come help us build what’s next. ABOUT THE ROLE: We’re looking for a Research / ML Engineer to join our Speech Team to build state-of-the-art speech systems end-to-end—from data specs through production inference. You’ll drive the model ↔ data ↔ eval flywheel for TTS and adjacent tasks (voice cloning, controllable TTS, voice conversion and more), partnering closely with research, data, and infra to ship fast, reliable, and cost-aware models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. WHAT YOU’LL DO: - Model Building: Architect, implement, pre-train, fine-tune, and post-train/alignment (e.g., GRPO/DPO) for large-scale speech models. - Project Leadership: Independently lead small research projects while collaborating on larger team initiatives. - Experimental Design: Design, run, and analyze scientific experiments to advance our understanding of the models. - Tool Development: Develop and improve dev tooling to enhance team productivity. - Full-Stack Contribution: Contribute to the entire stack, from low-level optimizations to high-level model design. - Data Ownership: Define data requirements and collaborate on acquisition, curation, augmentation, labeling quality, and synthetic data strategies. - Rigorous Evaluation: Design automated objective/subjective evaluations—listening tests, SV/WER/ASR-based metrics, robustness & bias checks, and red-team studies. - Pipeline Delivery: Harden the training → evaluation → inference pipeline; profile latency, memory, and cost; and meet production SLAs with robust monitoring and rollback. - GPU Scaling: Partner with infrastructure to run distributed training/inference on cloud fleets and productionize models with reliability and observability. - Safety & Responsibility: Contribute to safety/consent guardrails and to misuse/abuse mitigation for responsible speech technology. WHAT YOU’LL BRING: - Exceptional research/development experience with large scale audio models (>3B models and >500k hours data). - Exceptional understanding and hands-on experience with transformer architectures and/or diffusion models (inc. distillation and streaming) and/or audio language modelling. - Strong experience with multi-node and multi-gpu distributed model training. - Strong software engineering skills with a proven track record of building complex systems - Strong with PyTorch and performance work (profiling, CUDA/Triton/C++ as needed) and writing reliable production quality code. - Shipped large scale speech/audio models to production. - Background in working with large-scale ML data. - Ability to iterate on data,, and triangulate quality using subjective and objective signals. - Notable publications and/or open source contributions in speech/audio/ML. - Experience with voice-cloning, speech-control, voice-generation. PREFERRED EXPERIENCE: - Shipped large scale speech/audio models (TTS/VC/ASR) to production. - Work on large-scale ML systems. - Experience with audio language modelling, transformer architectures. - Experience with voice-cloning, speech-control, voice-generation. - Background in processing large-scale ML data. - Publications or notable open-source in speech/audio/ML. COMPENSATION: When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   BENEFITS FOR U.S.-BASED ROLES: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's Human Data Platform team builds systems designed to collect data that improves our models. This includes the infrastructure to simulate real-world environments and tasks, novel interfaces for data vendors to use, and the pipelines that enable researchers to gather high-quality data at scale. As Claude's real-world usage evolves, so do our data needs — and our tooling has to keep pace. You'll work alongside an engineering team that's quickly prototyping and shipping, help make smart bets about where to focus, and ensure we're investing in tooling that scales. You'll work across research teams, data ops, and external vendors, translating what you learn into clear direction on what to build next. Responsibilities Own the product direction for our human data tooling, with clear prioritization across labeling interfaces, infrastructure investments, data quality, and operational visibility Partner with engineering to scope and ship quickly, staying close to the work in a fast-moving prototyping environment Develop a deep understanding of research and training approaches to identify where tooling investments will have the highest leverage Identify patterns across one-off requests and push toward reusable infrastructure that compounds over time Sit in on crowd worker and vendor sessions to systematically understand pain points Define and track outcome-based KPIs: time-to-launch for new data collection projects, end-to-end data quality scores, and measurable impact on model evaluation scores Minimum Qualifications You May Be a Good Fit If You Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well Are drawn to ambiguous, high-stakes environments where you’ll play a big role in defining the product strategy Shipped products where they had to deeply understand technical constraints, not just translate requirements Experience working directly with research teams, ideally in AI/ML contexts Are equally comfortable talking to crowdworkers about their workflow and to research teams about data quality methodology Are a quick study—this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective Have an interest in how humans interact with AI systems and how to design experiences that elicit high-quality data Preferred Qualifications Strong Candidates May Also Have Experience building data collection tools, annotation platforms, or human-in-the-loop pipelines Experience working with researchers who are internal users/customers Good instincts and an eye for intuitive user experiences, particularly those involving complex UI interactions or annotation workflows Strong project management skills: prioritization, communicating across team/org boundaries The ideal candidate has the following virtues/values: Have 5+ years in product management, with experience launching new products and scaling existing products. Intellectual curiosity without ego: Comfortable not knowing things and asking questions to learn Autonomous learning: Able to independently figure out how systems work and develop expertise quickly Researcher EQ: Deep understanding of how researchers think and what motivates them Product creativity: Ability to see novel product opportunities emerging from research capabilities Founder mentality: Track record of doing whatever it takes to ship highly technical products 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: $305,000 — $385,000 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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's research organization works across the full model development lifecycle, from pre-training and post-training to alignment, interpretability, and safety, each operating at the frontier of AI development. As a Technical Program Manager for Research, you'll define and build the programs that research teams need most. You'll move across research areas like compute, evals, RL environments, and emerging research initiatives, going deep enough in each to understand how researchers work and what they need. You'll identify where the biggest opportunities for impact lie, find the highest-leverage gaps, and build the programs, processes, and tooling that allow researchers to focus on research. This is a 0-to-1 role: you'll explore new domains as priorities shift, determine what each one needs, and create lasting impact where none existed before. Note: This role may require responding to incidents on short-notice, including on weekends. Responsibilities Embed deeply within a research domain to understand the technical landscape, build trust with researchers and technical leaders, and identify the highest-leverage problems to solve, knowing the surface area will shift over time as research priorities evolve Move fluidly across research areas like compute, evals, RL environments, and emerging research initiatives, picking up new domains quickly and getting to depth fast Drive end-to-end execution of complex, ambiguous research initiatives spanning multiple teams, often without established playbooks or precedent Establish processes and frameworks that bring structure to unstructured research environments without slowing researchers down Lead efforts like large-scale compute resource planning, including allocation, efficiency, and prioritization across research and production workstreams Drive eval readiness for model launches by standardizing results, shaping eval plans early, improving tooling, and ensuring honest, transparent reporting across research, product, and marketing Own execution and operational health of RL environments across major training runs, coordinating cross-team trade-offs and feeding insights back into roadmap planning Equip research leadership to make decisions quickly by going deep on technical tradeoffs and presenting clear, actionable recommendations Act as the connective tissue between research, engineering, and product teams to reduce chaos and accelerate execution You May Be a Good Fit If You Have a background in ML research or engineering with several years of experience building technical programs from scratch, ideally with hands-on exposure to training, evaluation, or large-scale distributed systems Are a fast learner who can ramp on unfamiliar technical domains quickly and contribute meaningfully to discussions with researchers Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in fast-moving research environments Have a track record of operational ownership of complex technical systems, including monitoring, incident response, and performance optimization Can reason about technical tradeoffs at depth across model architecture, training infrastructure, evals, or compute efficiency, and translate them into clear decisions for leadership Have excellent stakeholder management skill and the ability to influence senior technical staff through competence and consistent delivery Are comfortable with high-stakes environments where decisions impact compute spend, model training timelines, and launch outcomes Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Are excited to redefine what technical program management looks like at the frontier of AI research 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: $365,000 — $435,000 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: Berlin Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office. WHAT YOU’LL DO - Take ownership of complex backend systems end-to-end - from scoping and architecture to high-quality, reliable delivery - Design and build robust, scalable APIs and distributed systems that power our products and deliver exceptional performance - Collaborate closely with Product, Frontend, and Design teams to translate product ideas into well-architected backend solutions - Push the boundaries of what’s possible with modern backend technologies, driving innovation in both architecture and developer experience - Contribute to evolving our backend architecture, infrastructure, and developer tooling to support rapid iteration at scale - Proactively identify opportunities to improve system performance, reliability, and developer experience - and drive those initiatives through to execution WHAT WE’RE LOOKING FOR - 5+ years of professional backend engineering experience, ideally in fast-paced startup or high-growth environments - Deep expertise in Python and FastAPI, with a proven track record of building and scaling production systems - Experience designing and implementing APIs (REST, GraphQL, or gRPC) that power user-facing products - Strong experience working with SQL databases (e.g. PostgreSQL), including schema design, query optimization, and data modeling for production systems - Familiarity with cloud-native architectures, ideally on GCP (e.g. Cloud Functions, Cloud Tasks, Firestore) - Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code - Familiarity with Vertex AI and ML specific infrastructure - Strong communication skills and a high sense of ownership - able to operate with autonomy while staying aligned with team goals - Some markers of excellence, which could also be non-work related, like having a high FIDE rating - Most importantly: we care deeply about working with genuinely kind, collaborative, and hard-working people who make the team better through empathy and openness TECH STACK - Languages: Python, TypeScript - Backend: GCP, Vertex AI, Cloud Functions, Cloud Tasks, RabbitMC, Firestore, PostgreSQL, Clickhouse - AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc. BONUS POINTS - You’ve personally built and scaled a system (e.g. side project, startup, open-source) that handled significant traffic or complexity, and learned real lessons from it - Background working on AI products or data-heavy applications - Academic background in Computer Science or a related technical field - Experience in starting a company or working at a top-tier high-growth startup WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups - Regular team events and off-sites - Aggressive equity compensation package - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin

Location: San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We're looking for an Events Producer to help deliver Intercom's most important brand events across North America and Europe. You'll join a small, high-performing team that creates memorable experiences showcasing Fin's product innovation and Intercom's leadership in AI. In this role, you'll partner closely with senior producers to bring events to life—from planning through onsite execution. You'll own key workstreams, collaborate across Marketing and GTM teams, and help deliver exceptional experiences that drive both brand awareness and business impact. This is an exciting opportunity for someone who thrives in a fast-paced environment, loves solving logistical puzzles, and is eager to grow their event production expertise while working on high-profile programs. What will I be doing? Produce and execute Intercom's brand events, including hosted experiences, product launches, conferences, and pop-ups Own event planning and execution across assigned workstreams, including venue coordination, vendor management, budgets, production logistics, and run of show Support the delivery of hybrid events with both in-person and livestream experiences Partner cross-functionally with Product Marketing, Content, Communications, Sales, Customer Success, and R&D teams Coordinate with production vendors and agency partners to ensure seamless execution Manage attendee experience, registration, ticketing, speaker logistics, and event operations Help maintain production timelines, budgets, and project plans across multiple concurrent events Track event performance and contribute to post-event reporting and learnings Support flagship programs such as Pioneer and other strategic company events Help build scalable event processes, documentation, and production playbooks Travel up to 30% to support onsite event execution What skills do I need? 3+ years of experience producing live events, conferences, field marketing events, or brand experiences Experience managing event logistics from planning through onsite execution Familiarity with live event production, including AV, staging, run of show, and vendor coordination Experience working with external vendors, venues, and production partners Strong project management skills with the ability to prioritize multiple deadlines Experience collaborating across cross-functional teams Familiarity with registration, ticketing, and event technology platforms Excellent organizational skills and attention to detail Calm under pressure with a proactive, solutions-oriented mindset Strong communication skills and a passion for creating exceptional attendee experience Bonus skills & attributes Experience producing B2B marketing events or conferences Experience working at a SaaS or technology company Experience supporting hybrid or livestreamed events Familiarity with AI tools that improve event planning, production, or content creation Experience with event platforms (e.g. Cvent, Splash, Bizzabo, Goldcast, or similar) Multilingual (French or German) *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $118,00 - $141,900 Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Greece Workplace: OnSite DESCRIPTION ROLE HIGHLIGHTS - Subsystem Assembly Technician - Location: Athens, Greece - Department: Global Manufacturing Organisation - Reports to: Production Facility Manager - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: The mission of this role is to ensure every mechanical subsystem delivered for satellite integration works exactly as intended by inspecting, assembling and validating it with clear, reliable evidence. It also exists to catch issues early, fix them at the source and keep the entire build process traceable and unblocked so spacecraft can be assembled and launched with confidence. 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 - Your Day-to-day Responsibilities - Perform inspection, assembly, and verification of mechanical subsystems and panel-level assemblies - Integrate structural elements including CFRP panels, sandwich structures, and mechanical components - Execute panel assembly, including module installation and routing of wiring harnesses (RF, CAN, power, thermal sensors) - Ensure subsystem readiness (e.g. antennas, solar panels) through testing and validation procedures - Collaborate with Engineering, AIT, and Quality teams to resolve integration issues and improve manufacturability - Monitor production progress and proactively escalate blockers to maintain workflow continuity - Support root cause analysis and non-conformance resolution - Contribute to First Article Inspection (FAI) activities and ensure proper documentation and traceability - Perform or support incoming inspection of mechanical and structural components - Maintain accurate records in line with aerospace manufacturing and quality standards REQUIREMENTS: MUST HAVES - Bachelor’s degree in Mechanical Engineering, Aerospace Engineering, or a related technical field - 1+ years of hands-on experience in mechanical assembly, inspection, or integration within aerospace or other high-reliability environments - Proven experience working with mechanical subsystems and structural assemblies (e.g. panels, brackets, electro-mechanical units) - Hands-on experience with composite materials (e.g. CFRP), sandwich structures, solar panels, or precision mechanical components - Experience with panel-level integration, including module installation and wiring harness routing/handling - Basic understanding of electrical integration principles, including connectors, grounding, and cable types (RF, CAN, power, thermal sensors) - Familiarity with manufacturing quality standards, documentation, and traceability requirements - Experience supporting root cause analysis and non-conformance resolution - Comfortable working in a fast-paced production environment with evolving priorities and deadlines - Hands-on mindset with willingness to work on the shop floor and support cross-functional teams directly - Strong communication skills and ability to collaborate with Production, Engineering, QA, and Planning - High level of ownership, attention to detail, and continuous improvement mindset NICE TO HAVES - Experience with satellite structures and panel integration, including CFRP panels, sandwich constructions, and RANT assemblies - Hands-on experience with full panel assembly, including integration and routing of RF, CAN, power, and thermal sensor cabling - Understanding of thermal management and interfaces (e.g. thermal pads, pastes, sensor integration) - Experience with incoming inspection of composite and machined parts - Knowledge of environmental and mechanical testing (e.g. vibration, shock, thermal vacuum) - Familiarity with aerospace standards such as IPC, ECSS, or similar - Experience in NewSpace or small satellite production environments - Experience working in cleanroom environments and satellite integration flows - Familiarity with ERP/MES systems in manufacturing APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager General Interview - Technical Interview (onsite or virtual), including a Technical Challenge - Hiring Team Interview - Offer Decision 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 - we’ll 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: Europe; United States Workplace: Remote ABOUT CANTINA: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! ABOUT THE ROLE: We are seeking an experienced Machine Learning Engineer (MLE) to focus on audio model evaluation, specifically for speech generation and recognition models. This role involves designing and developing comprehensive model evaluation pipelines for both development and production environments, as well as creating automated dashboards for reporting evaluation results. As the founding member of our evaluation team, the ideal candidate is expected to leverage their experience to lead our evaluation efforts and play a key role in the future growth of the evaluation team. WHAT YOU’LL DO: - Designing model evaluation pipelines for models in development and production - Designing user studies for subjective model evaluations. - Converting requirements into measurable metrics. - Designing and developing automated evaluation dashboard to see model performances and compare results. - Training new models to capture new and different evaluation metrics. - Communicating with the model team to help design better models based on the evaluation results. - Communicating with the data team to help decide the type of data necessary to improve model performance. - Communication with the product-manager to make sure product requirements are correctly measured. - Help grow the evaluation team as the founding member. - Lead the evaluation team in the future. WHAT YOU’LL BRING: - Strong experience and intuition for designing metrics that capture model performance. - Strong experience with designing user studies on Mechanical Turk or similar platforms. . - Strong experience with model training and fine-tuning for model evaluation. - Strong statistical knowledge and experience to statistically compare evaluation results and take decisions. - Very strong engineering and programming skills. - Experience with training ASR, TTS models. - Experience at ML teams working on large-scale machine learning problems. (>3B models with >1m hours of data) COMPENSATION: When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   BENEFITS FOR U.S.-BASED ROLES: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

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. 🚀 Come join the Hierarchy Squad to build and optimize a set of tier 1 services that are at the core of ClickUp’s all-in-one productivity platform! Hierarchy owns the ClickUp filesystem that is at foundation of everything we build. We are searching for passionate engineers with exceptional critical thinking skills and technical prowess to help maintain, develop and scale high throughput services to support the company through accelerated growth. The ideal candidate will find the idea of architecting distributed systems that are reliable and highly performant exciting, has a knack for debugging and writing complex code and is excited by the challenge of building and maintaining a platform that every team in the company integrates with. Our key technologies include Typescript, Postgres, Kafka, NestJS running on Amazon Web Services. If this sounds interesting to you, we'd love to have you join our team!   Responsibilities:   - Develop and maintain robust, scalable backend systems using Node.js (Express and NestJS). - Collaborate with engineers, designers, and product managers to drive projects forward. - Tune and optimize database queries for maximum efficiency and performance. - Optimize and improve existing code for better performance and user experience. - Troubleshoot and debug issues, ensuring smooth operations. - Share your knowledge and expertise to foster a culture of learning and growth.   Requirements:   - 8+ years of professional experience building backend services for SaaS products. - Proven track record of building and scaling backend systems. - Expertise in relational database query optimizations (prefer PostgreSQL). - Extensive background working with databases (SQL and NoSQL) and data modeling. - Strong understanding of RESTful API design and implementation. - Experience with agile development methodologies (Scrum, Kanban, etc.). - Familiarity with version control systems like Git. - Excellent problem-solving skills and a passion for tackling challenges. - Strong communication skills, as collaboration is key to our success. - Experience with microservices architecture and containerization (Docker, Kubernetes).   Preferred Qualifications:   - Familiarity with frontend technologies (Angular, React, Vue). - Professional experience with NodeJs, Express, and NestJS   What We Offer:   - Competitive salary and benefits package. - Remote work options. - A supportive, dynamic, and fast-paced work environment. - The opportunity to make a meaningful impact on a rapidly growing company. - Opportunities for personal and professional growth.   #LI-REMOTE 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: Vancouver, Canada; Houston, United States Role: As part of the System Engineering Department, the Flight Operations System Engineer will participate, and coordinate the work needed for the analysis, planning and definition of the constellation operations ConOps, and the preparations, testing and execution of the operations procedures. Tasks: The Satellite Flight-Operations engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate. Trade-off studies to design, develop and simulate the overall Satellite LEOP plan. Development of Spacecraft In-Orbit Operations Procedures and oversight of their execution and associated trainings. Development of Satellite Operation Manuals, test procedures and oversight of their execution and associated trainings. Verification & Validation Matrices of the operations procedures for on-orbit commissioning, routine, and contingency operations of the mission. Support In-Orbit Test (IOT), anomaly resolution + FDIR. Support the Satellite Simulator Operation and script development. Must haves : Bachelor’s degree in engineering in a relevant field At least 10 years of relevant practical experience Previous experience with LEO/MEO satellite systems. Experience with automated satellite operations, especially design and IOT. Systems Engineering experience in concepts of space and ground segment design, specification and integration, knowledge of Flight Software role in operations, Satellite Database Operations concept and telemetry structure concepts. Experience creating or using models and/or simulation software. Knowledge of Python or other scripting languages Knowledge of Matlab Knowledge of AG1's Systems Tool Kit (STK) Complementary skills/knowledge : Previous experience in Constellation Operations Development and testing of new automated operations Knowledge of MS Excel, for the purposes of engineering analyses Knowledge of requirements Management tools such as DOORS/Windchill/Jama Demonstrated capability to efficiently work with little to no supervision Strong written and verbal communications skills in English, knowledge of French will be considered favorably

Location: Vancouver, Canada; Houston, United States Role: As part of the System Engineering Department, the Flight Operations Engineer will participate, and coordinate the work needed for the definition, development and execution of the constellation operations, and the preparations, implementation, testing and verification of the operations procedures. Tasks: The Satellite Flight-Operations engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate. Trade-off studies regarding the design, develop and testing of the satellite/constellation operations procedures. Development of Spacecraft In-Orbit Operations Procedures and oversight of their execution and associated trainings. Development of Satellite Operation Manuals, test procedures and oversight of their execution and associated trainings. Verification & Validation Matrices of the operations procedures for on-orbit commissioning, routine, and contingency operations of the mission. Support In-Orbit Test (IOT), anomaly resolution + FDIR. Support the Satellite Simulator Operation and script development. Must haves: Bachelor’s degree in engineering in a relevant field At least 7 years of experience Previous experience with LEO/MEO SatOps . Experience with automated satellite operations and IOT Experience in concepts of space and ground segment design, specification and integration, knowledge of Flight Software role in operations, Satellite Database Operations concept and telemetry structure concepts. Knowledge in Python or other scripting languages Complementary skills/knowledge: AG1's Systems Tool Kit (STK) Requirements Management tools such as DOORS/Windchill/Jama Previous experience in Constellation Operations The design, development and testing of new automated operations flows and scripts. Experience creating or using models and/or simulation software. Demonstrated capability to efficiently work with little to no supervision Strong written and verbal communications skills in English, knowledge of French will be considered favorably

Location: San Jose, United States; Richardson, United States Summary Client is seeking a highly motivated and self-driven candidate qualified for the position of Signal Integrity Engineer to help design and build market leading Hardware Platform Solutions. The Signal Integrity Engineer will play a critical role as the subject matter expert in the planning of digital PCB designs, simulation, lab verification, and troubleshooting signal integrity issues on completed designs. They will also be expected to help with design review of critical PCBs for signal integrity concerns. Good communications skills and ability to work with physically dispersed teams is a strong requirement. Knowledge/Skills/Competencies Experience on complex PCBAs (36+ layers) PCB design fundamentals (single ended and differential signals), Signal loss, Impedance control, and  Crosstalk (near end and far end) Experienced with single-ended and differential signaling up to 50Gbps Experienced working with component models (touchstone files) and cascading models to generate complete system models for simulation Simulation of digital interfaces ( FPGA to DRAM, SERDES interfaces) Simulation of analog paths through a combination of PCB, connector, and cable (signal driver to DUT) Proficient with 2D and 3D simulation tools (examples include ADS, ANSYS HFSS, Sigrity) Electrical length calculations for signal matching Familiar with looking at signals in both frequency (S-parameter) and time domain and understanding how to interpret results when it comes to suitability for a particular application. Very familiar with generating and interpreting data-eye diagrams up to 50Gbps: NRZ and PAM4 Proficient with Allegro or similar layout tool and schematics PCB Stack up design and familiar with fabrication limitations and cost trade-offs High Frequency board material experience Significant experience with measuring signal performance in the lab: TDR measurements and VNA measurements Able to develop test fixtures for making measurements (both custom design test boards as well as making “adhoc” probing solutions to troubleshoot existing PCBs) Expert in cost vs performance tradeoffs when designing signal paths as cost is key design constraint Experience with flex circuit design for high speed signaling Typical Experience 5-20+ years' experience with High Speed Signal Delivery Design and Evaluation. This includes both signal integrity within a PCB and off the board (board to board connectors, ribbon cables, coaxial cable, etc.). Detailed Description Define and Develop next generation technologies for Networking, server and storage products. Provides innovative solutions to unusually complex and sensitive problems requiring ingenuity and creativity. Serve as technical consultant and technical leader for their team. Engage with customers and suppliers on and product roadmaps and support. Communicates progress toward projects and program goals. Strong ability to lead, motivate and direct a workgroup. Proficiency in hardware systems environments and detail oriented. Typical Education Bachelor’s degree in Electrical Engineering, Master’s is preferred

Location: Toulouse, France; United States; United Kingdom 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 • Gather functional, performance, environmental and security requirements from mission stakeholders & CONOPs. • Map requirements to payload equipment performance with I/F with on-board processor • Coordinate with cybersecurity team for payload‑specific assessments • Perform requirement management and maintain bidirectional traceability throughout the program life cycle. Payload Architecture & Design • Implement the high‑level digital payload architecture (optical ISLs, Phased array antennas, Feeder links & front‑end), master reference oscillator & clock synchronizations. • Produce Interface Control Documents (ICDs) with other subsystems and ground segment. • Implement high‑speed data‑bus I/F (SpaceWire, SpaceFibre, Ethernet, CAN). Simulation & Analysis • Perform performance simulations (Gain, Spurious, Linearity, SNR, dynamic range, spectral efficiency, G/T, EIRP…etc.) and Monte‑Carlo analyses for tolerance budgeting. • Define and maintain Payload DC power budget with traffic & utilization models • Perform FMECA, Fault tree and FDIR, reliability modeling and availability to meet mission objectives Hardware & Firmware • Provide system‑level specifications to hardware designers, review schematics, layouts, thermal interfaces, and mechanical constraints. • Support SW development for MODCODs and on‑board processing pipelines; ensure 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. • Support payload design authority in System design reviews, Power/Structure/Thermal interfaces and Mission Operations assessments. • Liaise with Electrical, Power, Structures, Thermal, Software, Ground‑Segment and Mission‑Operations teams to resolve integration issues early. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Develop Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test, environmental and electromagnetic compatibility (EMC) test campaigns. • Lead 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. • Lead and Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation. On Orbit & Operations Support • Provide 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. • Support SOOH development and associated operator training. Required Qualifications:  B.Sc. in Electrical Engineering, Aerospace or Physics with 8 + years of digital regenerative payload system design experience on LEO/MEO missions.  Comprehensive knowledge of digital 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: Toulouse, France; United States; United Kingdom 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: Toulouse, France; United States; United Kingdom 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 • Gather functional, performance, pointing, environmental and security requirements from mission stakeholders & CONOPs. • Capture, trace and map payload requirements from mission level to subsystem level • Coordinate with cybersecurity team for payload‑specific assessments • Perform requirement management and maintain bidirectional traceability throughout the program life cycle. Payload Architecture & Design • Design the SAR system architecture (antenna arrays & RF front-end Tx/Rx components, digital beamforming, processing chain and digital electronics, power, thermal, and mass). • Lead the conceptual, preliminary, and detailed design phases, producing trade studies, performance budgets). • Produce Interface Control Documents (ICDs) with other subsystems and ground segment. • Provide system‑level specifications to hardware designers, review schematics, layouts, thermal interfaces, and mechanical constraints Simulation & Analysis • Perform performance simulations for tolerance budgeting and image quality. • Support algorithm and analytical development to process SAR. • Define and maintain Payload DC power budget with utilization models. • Perform FMECA, Fault tree and FDIR, reliability modeling and availability to meet mission objectives Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Support payload design authority in System design reviews, Power/Structure/Thermal interfaces and Mission Operations assessments. • Liaise with Electrical, Power, Structures, Thermal, Software, Ground‑Segment and Mission‑Operations teams to resolve integration issues early. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Develop Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test, environmental and electromagnetic compatibility (EMC) test campaigns. • Lead 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, firmware, deliverables and documentation are version controlled in PLM environment. • Lead and Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation. On Orbit & Operations Support • Provide 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. • Support SOOH development and associated operator training. Required Qualifications:  B.Sc. in Electrical Engineering, Computer science or Physics with 10 + years of experience supporting SAR remote sensing system development, integration and test on LEO/MEO missions.  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: New York, NY Workplace: OnSite ABOUT THE COMPANY Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. OUR ETHOS We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. ABOUT THE ROLE Rain is hiring a Senior Product Data Analyst to be the analytical engine behind our product team. Payments and stablecoin infrastructure generate enormous, rich, and consequential datasets — authorization patterns, ledger movements, partner usage, cardholder behavior — and the decisions we make on top of that data shape the experience for our partners and millions of their end users. This is a senior individual contributor role embedded directly with product. You'll partner with PMs, engineers, and partnerships leads to turn raw data into the sharpest possible product judgment: defining metrics, designing experiments, sizing opportunities, and pulling on the threads that reveal where the product is working and where it isn't. You'll set the analytical bar for the company and own the questions that matter most. WHAT YOU'LL DO • Partner with product leadership as the embedded analyst across cards, payments, and platform — defining the metrics, building the dashboards, and answering the questions that drive roadmap decisions • Design and analyze experiments end to end — hypothesis, sizing, instrumentation, readout, and the prioritization decisions that follow • Run deep-dive analyses on partner usage, activation, retention, and economics, and translate them into sharp, opinionated recommendations • Own the metrics framework for product — what we measure, how we measure it, and what "good" looks like across each surface • Build self-serve analytics, dashboards, and tooling that let the rest of the company answer their own questions, and raise the bar for data literacy across product • Partner with data engineering on the underlying data model — how events, ledger entries, authorizations, and partner data should be shaped to support fast, trustworthy analysis • Surface insights proactively — find the things no one thought to ask and bring them to the team with a clear point of view WHAT WE'RE LOOKING FOR • 5–8 years of analytics experience, with a track record of operating as the analytical partner to product teams shipping consumer or platform products at a product-led company with a strong engineering culture and high bar for quality • Exceptional analytical rigor and product judgment — you're someone others describe as one of the sharpest analysts they've worked with, and you consistently raise the bar for the people around you • A senior, autonomous operator who can scope the question, design the analysis, and own the recommendation without needing close direction • Expert SQL and strong working fluency with at least one analytics scripting language (Python or R), modern data warehouses (Snowflake, BigQuery, Redshift, or similar), and BI/visualization tools (Lightdash preferred) • Strong technical fluency — you can read product code, understand event schemas, and pull on technical threads yourself rather than defer to engineering • Genuinely excited to live in the details — you believe correct, trustworthy data is won in the specifics and are energized by the work to get them right • Excellent written and verbal communication; you can translate a complex analysis into a clear, opinionated recommendation that ships decisions • Proven ability to design and run experiments, measure adoption, and iterate quickly in a fast-moving environment NICE TO HAVE, BUT NOT MANDATORY • Experience analyzing payments, card issuing, or cross-border fintech products • Exposure to stablecoins, crypto, or on-chain data • Previous startup or hypergrowth environment experience • Experience standing up an analytics function from early days ROLE DETAILS • Individual contributor role (no direct reports) • Hybrid schedule based in our New York City office Things that enable a fulfilling, healthy, and happy experience at Rain: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.