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Location: Buenos Aires, Argentina Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. The Head of Sales will be responsible for one of the largest markets in the region, helping our clients in different industries grow their business using X. You will be navigating complex business situations, helping clients solve their challenges and driving our commercial teams toward our revenue objectives with ad products. You need to utilize your strategic and analytical business skills, along with talent management skills to cultivate and lead the team. An ideal candidate will have a strong digital media sales track record with team management experience, hands-on use of AI and a strong focus on metrics to achieve our revenue objectives. Main Responsibilities Lead and develop the X team by coaching, training and building its structure, including recruiting Drive the commercial teams strongly toward sales, setting priorities by advertiser, vertical and product, and helping close strategic pitches and proposals with clients Build a strong partnership with X's regional team and sustain close alignment on programs, product roadmap, incentives and targets for the Argentine market Regularly consult and align with internal directors and leadership on strategy, performance and resources Track and report the performance of the business (revenue, pacing, pipeline, campaign metrics and client trends) and turn it into actions Establish managerial processes: annual planning, budget prioritization, impact measurement Use AI to work faster and at a greater scale, and drive its adoption across the team and the commercial teams Skills and Experience required: Minimum qualification will be sales track record in digital media or understanding of branding and full funnel marketing Minimum 6+ years of work experience in a media sales, partnerships or account management role with knowledge in digital performance marketing and ad metrics from tech-driven companies, agencies or media platforms 2+ years of team and people management experience Leadership skills – strong point of view with the ability to navigate clients, partners and internal leadership, and to build and foster relationships in a matrix organization Strong analytical skills to track KPIs and campaign performance and turn data into decisions Advanced, hands-on use of AI in day-to-day work, with concrete examples of improved results Proficient in Spanish and English with writing, communication and interpersonal skills Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: United States Workplace: OnSite WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Are you energized by bridging the gap between frontier AI capability and complex customer reality? Do you want to architect high-performance, resilient machine learning systems directly inside strategic enterprise environments? We are looking for a Staff Forward Deployed Engineer (FDE) to join our team. The team is responsible for taking our large language models and making them work reliably, securely, and at peak performance within our customers' custom infrastructure and data perimeters. In this role, you will act as the principal technical translation layer between our core engineering teams and our strategic partners. You will own the architecture for highly ambiguous, customer-specific inference challenges—ranging from multi-tenant model serving to multi-datacenter disaster recovery and custom hardware validation. You will lead technical adoption end-to-end, ensuring our models achieve exceptionally low latency, high throughput, and seamless resilience in the field. As a Forward Deployed Engineer, you will: • Embed directly with customer engineering teams to architect the "connective tissue" between our AI models and their live, complex production environments. • Design advanced model serving topologies, implementing multi-tenant architectures, intelligent model routing, and cross-datacenter failover strategies for multi-cluster environments. • Optimize "AI-in-a-box" and private deployments, balancing localized SRE constraints like Kubernetes multi-cluster scale with raw model performance. • Conduct rigorous benchmarking and profiling of customer LLM workloads, root-causing performance degradation (e.g., slow generation) via metrics, dashboards, and distributed logs. • Accelerate hardware validation, collaborating with clients to run and support Cohere models on next-generation accelerators (GPUs, TPUs, AMD, and custom ASICs). • Translate complex field friction into platform upgrades, delivering prescriptive feedback and contributing directly back to core product features. • Ensure Day-1 production reliability, assisting customers in establishing sound deployment patterns, SLOs, and observability frameworks. You may be a good fit if you have: • 8+ years of engineering experience running production infrastructure, designing large-scale distributed systems, or deploying enterprise software in complex environments. • Deep technical depth in production Kubernetes, including orchestration across multi-cluster and hybrid/multi-cloud ecosystems (GCP, Azure, AWS, OCI). • Strong understanding of LLM architecture and inference dynamics, specifically how attention mechanisms, compute-bound prefill, and memory-bound decode phases dictate live performance. • Hands-on experience with modern inference engines and optimization stacks (e.g., vLLM, TensorRT-LLM, lmd, or Dynamo). • Familiarity with distributed serving techniques, such as prefill/decode disaggregated serving, distributed KV caching, and multi-GPU workloads. • Exceptional customer-facing technical leadership, with a proven track record of scoping highly ambiguous problems and steering executive technical stakeholders. • The high agency, grit, and adaptability to write same-day production code while managing client-side deployment politics or blockers. • Strong programming foundations in Python, Go, or C++, comfortable moving fluidly between backend data pipelines and infrastructure layer tuning. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Brazil - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: Chainguard is looking for an Enterprise Account Executive to expand our footprint within large organizations. You'll own the full sales cycle with enterprise customers — from building pipeline to closing complex, multi-stakeholder deals — and help some of the world's biggest companies build and secure software the right way. The best candidates run a disciplined sales process, generate their own pipeline, and are comfortable navigating long enterprise buying cycles involving technical, security, and executive stakeholders. You'll partner closely with Sales Engineering, Customer Engineering, and Marketing to drive evaluations forward and win. What You'll Do Own the full enterprise sales cycle, from prospecting through close Build and manage pipeline across a defined set of enterprise accounts Lead discovery, qualification, and deal strategy using frameworks like MEDDPICC Communicate Chainguard's value to technical stakeholders, security leaders, and executive buyers Partner with Sales Engineering and Customer Engineering to run technical evaluations and validation Manage complex sales cycles, including procurement, security review, and negotiation Maintain accurate pipeline visibility and forecasting Consistently meet or exceed revenue and pipeline targets What We're Looking For 3+ years selling complex technical products into enterprise organizations Must be bilingual in Portuguese and English A track record of building your own pipeline and consistently closing revenue Fluency in a disciplined enterprise sales methodology (MEDDPICC or similar) Skill identifying customer pain and selling on measurable business value Experience navigating multi-stakeholder enterprise buying cycles, from technical teams to executives Strong deal management and forecast discipline across complex, concurrent opportunities Excellent communication, relationship-building, and negotiation skills Comfort operating in a fast-growing environment with evolving processes About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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 Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production. We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production. If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit. Key responsibilities Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves Design APIs and abstractions that work equally well for engineers and for AI agents Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback Build infrastructure-as-code workflows that many teams rely on for safe, routine changes Scale artifact distribution so code and configuration reach machines quickly and efficiently Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring Minimum qualifications Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP Strong written and verbal communication skills Preferred qualifications Experience building deployment, release, or change management systems at large scale Experience with production on-call and incident response Experience with Rust in production Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts Deep knowledge of Kubernetes, including controllers and operators Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking Experience building feature flag, experimentation, or dynamic configuration systems Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage Experience with software supply chain security, such as signed build provenance Experience building high-throughput workflow engines or control planes backed by relational databases Experience building internal developer platforms and leading adoption across many teams Experience using AI agents in your own engineering work, or building systems that agents operate Representative projects Build operator controls for progressive rollouts, including pause and resume that preserve rollout state Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to Build cluster-health-aware rollouts that steer around unhealthy clusters Add a new workload type to the platform, including its rollout, verification, and rollback behavior Design a deployment control plane that handles sharp bursts of agent-driven traffic Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows 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: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Brazil - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: Chainguard is looking for an Enterprise Account Executive to expand our footprint within large organizations. You'll own the full sales cycle with enterprise customers — from building pipeline to closing complex, multi-stakeholder deals — and help some of the world's biggest companies build and secure software the right way. The best candidates run a disciplined sales process, generate their own pipeline, and are comfortable navigating long enterprise buying cycles involving technical, security, and executive stakeholders. You'll partner closely with Sales Engineering, Customer Engineering, and Marketing to drive evaluations forward and win. What You'll Do Own the full enterprise sales cycle, from prospecting through close Build and manage pipeline across a defined set of enterprise accounts Lead discovery, qualification, and deal strategy using frameworks like MEDDPICC Communicate Chainguard's value to technical stakeholders, security leaders, and executive buyers Partner with Sales Engineering and Customer Engineering to run technical evaluations and validation Manage complex sales cycles, including procurement, security review, and negotiation Maintain accurate pipeline visibility and forecasting Consistently meet or exceed revenue and pipeline targets What We're Looking For 3–5+ years selling complex technical products into enterprise organizations Must be bilingual in Portuguese and English A track record of building your own pipeline and consistently closing revenue Fluency in a disciplined enterprise sales methodology (MEDDPICC or similar) Skill identifying customer pain and selling on measurable business value Experience navigating multi-stakeholder enterprise buying cycles, from technical teams to executives Strong deal management and forecast discipline across complex, concurrent opportunities Excellent communication, relationship-building, and negotiation skills Comfort operating in a fast-growing environment with evolving processes About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Machine Learning Engineer, Customer Memory. About the job This position is needed to build and scale the pipelines that turn raw conversation data into structured, searchable customer memory, and the evaluation systems that keep that memory accurate as the product evolves. You'll join the Conversation Memory team, which builds the memory layer behind Twilio's Conversational AI platform: the systems that extract what matters from millions of conversations, resolve it to the right customer, and retrieve it in milliseconds when an agent needs it. Memory that is wrong, stale, or crossed between customers is worse than no memory at all, so quality measurement is a first-class part of the work. Responsibilities In this role, you’ll: Build the extraction pipeline that turns raw data into structured memory, tuning the LLM prompts and schemas that decide what an AI agent remembers about a customer and what it forgets. Own the retrieval path that answers "what do we know about this person?" in milliseconds, working with embeddings, vector search, and ranking Contribute to the eval systems that tell us whether memory is actually getting better, turning a fuzzy question of quality into benchmarks and regression gates that run before every change ships. Diagnose production issues across the ingestion, extraction, and indexing path using logs, metrics, and traces. Partner with Product and ML teams to translate customer problems into system changes and evaluation criteria. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Experience building backend services, and a demonstrated ability to pick up new languages, frameworks, and tools as the problem demands. A curious approach to service management: ability to investigate how systems actually behave in production, and desire to continuously learn how to operate them with rigor and accountability. Experience building or working with evaluation/quality-measurement systems, such as regression detection or quality metrics, or the desire to learn. Solid grounding in observability practices: structured logging, metrics, and using them to debug distributed systems in production. Fluency with AI-assisted dev tools (e.g. agents for code generation, review, debugging), applied with deliberate direction and critical thinking. Desired: Experience with Go and/or Python. Experience with event-streaming systems (e.g. Kafka). Experience building LLM-backed products. Practical experience applying ML, e.g. building, evaluating, or productionizing models. Location This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $128,560 - $160,700 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $136,000 - $170,000. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information Applications for this role are intended to be accepted until November 13, 2026 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: We're looking for an experienced recruiter to join our Business Recruiting team and support hiring across Notion's Foundation (G&A) organization, including People, Legal, and Finance. You'll be a trusted partner to hiring managers and leaders, owning searches end-to-end, developing creative strategies to find hard-to-reach talent, and helping teams make thoughtful hiring decisions. We're looking for someone who loves the craft of recruiting, thrives on solving complex hiring challenges, and brings a strong sense of ownership, curiosity, and resourcefulness to everything they do. You'll have the opportunity to make a meaningful impact while helping us raise the bar for how we hire at Notion.   This role is based San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Own full-cycle recruiting across People, Legal, and Finance, independently driving searches from intake and sourcing through assessment, offer, and close. - Build trusted hiring partnerships, developing a deep understanding of business needs, proactively communicating progress, and bringing solutions to hiring challenges. - Develop creative sourcing and talent strategies for specialized roles, using market research, talent mapping, and targeted outreach to engage exceptional candidates. - Deliver an exceptional candidate experience, building meaningful relationships and thoughtfully engaging candidates throughout the hiring journey. - Embrace new ways of working, thoughtfully leveraging AI and modern recruiting tools to improve efficiency, quality, and outcomes. SKILLS YOU'LL NEED TO BRING: - 5+ years of full-cycle recruiting experience supporting specialized or niche roles in fast-paced, high-growth environments. - Proven ability to independently source, assess, and close exceptional talent, including hard-to-find candidates. - Strong hiring manager partnership skills, with the confidence to advise, navigate tough conversations, and influence hiring decisions. - A proactive, solutions-oriented approach, using data, market insights, and sound judgment to overcome challenges and drive searches forward. - Excellent communication, organization, and attention to detail, with the ability to prioritize, navigate ambiguity, and deliver an inclusive, high-touch experience. - A collaborative, team-first mindset—we're all gardeners here—with curiosity and a willingness to experiment with AI and emerging tools to improve how we work. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $150,000 - $170,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Remote (US) About the company Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We are the global leader in tokenized treasuries, tokenized stocks and ETFs, and are building the future of institutional-grade financial services onchain. Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S. About the role Ondo's user research team is small but mighty, and works horizontally across the whole product suite, not inside a single pod. We're hiring a senior quantitative user researcher to build and lead quantitative research across the portfolio. You'll set your own UXR strategy with minimal guidance, take on the hardest decision-shaping questions whichever team they come from, and answer them with evidence that holds up at scale. What You'll Do Own the research intake and quant roadmap. Field research questions from product, design, GTM and leadership. Turn vague asks into answerable questions, decide which need quantitative evidence (and which don't), and prioritize where evidence most reduces risk on our biggest bets. Answer the big questions before launch. Use MaxDiff and conjoint to show which features, benefits and messages actually drive decisions. Design pre-launch experiments (stimulus tests, matched cohorts, vignettes, threshold studies) with decision rules set before fielding, and pretest instruments with cognitive interviews. Build measurement and segments that last. Adapt or develop validated scales for trust, perceived security and comprehension, track them across products and markets, and turn our user profiles into statistically validated, sized segments. Get data you can trust, and connect it to behavior. Design sampling, translation and fraud controls for a global, crypto-native audience, and partner with data science to link survey data with product data. Evaluate AI-assisted experiences. Design human evaluation for AI-assisted finance features: rubrics, rater reliability, and whether user trust matches how reliable the system actually is. Be leadership's partner for evidence. Present findings as recommendations with effect sizes, confidence and what would change the call. Give quick, right-sized answers to ad-hoc leadership questions, whether that's existing data, a fast pulse survey or a full study. Set the standards that let PMs and designers run sound lightweight surveys or data-driven validation themselves. Requirements 7+ years of UX or applied research experience, including at least 5 years leading quantitative studies end to end, from study design through recommendation. Experience leading quantitative research studies for financial products (e.g., brokerage, trading, banking, payments, wealth or lending). A self-starter who operates with minimal guidance: you scope ambiguous problems, set your own priorities, and drive studies to a decision. Deep survey science expertise: sampling and weighting, instrument design, bias control, data-quality screening, and programming in Qualtrics or similar. Hands-on experience designing and analyzing MaxDiff and/or conjoint studies. Strong applied statistics: regression, power analysis, and experimental and quasi-experimental design. Fluency in R or Python for analysis and visualization. You have an existing AI-assisted research setup, from drafting survey instruments to writing and reviewing analysis code, and you proofread/validate every output with rigor. A track record of quantitative work that changed a product or business decision, and the ability to explain uncertainty clearly to executives and non-researchers. Nice to Have Experience with crypto, onchain or tokenized-asset products. A master’s or PhD in a quantitative field such as statistics, survey methodology, behavioral economics, or marketing science. Depth in advanced methods, such as hierarchical Bayes and simulators, psychometric scale development, segmentation, pricing research, or SQL and multilevel modeling. Experience evaluating AI or LLM-powered products, such as human evaluation design, rubrics or rater reliability. Research across markets in LATAM, APAC or EMEA, including translating survey instruments. Responsible AI-native research workflows, such as using LLM tools to speed up instrument design, coding of open-ended responses or analysis. What we offer Competitive compensation including but not limited to salary, future token rights, and/or equity (according to your preferences) — We are well-funded and believe that great talent deserves great compensation. Full benefits (medical, vision, and dental) and flexible vacation policy (PTO). Remote-first team across many countries — You will be an early team member helping shape our vision, culture, and design practices. A+ colleagues — Our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Circle, Uniswap. Best-in-class investors — We are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.

Location: Remote - USA Workplace: Remote SOLUTIONS ARCHITECT Our Solutions Architecture team connects business priorities with practical technical solutions, helping customers understand how Chainalysis can support their most important objectives. In this role, you will provide technical leadership throughout the customer journey. You will turn complex requirements into clear recommendations, help customers envision how our products fit into their operating environment, and guide them toward measurable business outcomes. As a Solutions Architect, you'll develop a deep understanding of Chainalysis solutions and the problems our customers are trying to solve. You'll explain complex concepts in a clear, compelling way to technical practitioners, business leaders, and executive stakeholders. You'll also build practical, customer-specific solutions that support deployment, integration, adoption, and long-term value. In this role, you'll: - Serve as a core member of the account team, partnering closely with Sales, Services, Customer Success, Product, and Engineering. - Take ownership of customer outcomes across the full lifecycle, from initial discovery and solution design through investigation support, compliance program delivery, deployment, enablement, adoption, and expansion. - Lead discovery conversations that uncover customer objectives, operational pain points, use cases, technical constraints, and success criteria. - Translate business and operational needs into clear technical requirements, solution designs, and implementation paths. - Articulate Chainalysis capabilities in a way that is relevant to each customer's compliance, risk, fraud, investigations, or security environment. - Create tailored demonstrations, proof-of-value experiences, and technical narratives that show how Chainalysis can address customer priorities. - Conduct blockchain investigations, deliver compliance and regulatory guidance, and build technical solutions such as notebooks, dashboards, automation workflows, data integrations, reference architectures, and agentic workflows. - Develop AI-assisted workflows that accelerate and automate investigations, analysis, and customer processes, adapted to each customer's operating model, data, controls, and risk framework. - Design automation that fits into existing compliance, risk, fraud, investigations, or security operations rather than requiring customers to redesign how they work. - Help customers access and operationalize Chainalysis data through APIs, integrations, and fit-for-purpose technical patterns. - Provide guidance on solution architecture, API implementation, workflow design, data movement, and integration considerations. - Drive platform adoption by connecting customer workflows to Chainalysis capabilities and identifying new use cases. - Identify creative, responsible approaches to difficult customer problems, while balancing speed, scalability, security, maintainability, and measurable impact. - Build trust through sound technical judgment, clear communication, reliable execution, and a strong understanding of the customer's business. - Assemble the technical evidence base, including outcome data, consumption metrics, adoption analysis, and expansion signals, that supports quarterly impact reporting and renewal conversations. - Build customer capability and self-sufficiency rather than creating ongoing dependence on the Solutions Architecture team. - Own the feedback loop between customers and Product/Engineering, translating field insights and feature requirements into product improvements and bringing those improvements back to customers. - Act as a trusted advisor to customers, meeting them at their current level of crypto-maturity and partnering with them to advance their understanding, processes, and outcomes. - Represent Chainalysis at customer meetings, industry events, and conferences. - Contribute to the wider Solutions Architecture team through reusable assets, knowledge sharing, internal initiatives, and better ways of working. We're looking for candidates who have: - Several years of experience in one or more relevant areas, such as financial services, compliance, investigations, fraud, cybersecurity, digital assets, transaction monitoring, sales engineering, solutions architecture, or enterprise product management. - Experience making complex technical or operational concepts understandable to different audiences. - Strong storytelling, presentation, and written communication skills, with the ability to engage both technical teams and executive stakeholders. - A creative, structured, and investigative approach to solving challenging customer problems. - Comfort working with technical tools and learning new technologies quickly. Experience with Python or another programming language, SQL, data analysis, notebooks, workflow automation, APIs, integrations, or AI tools is valuable. - The curiosity and initiative to develop technical depth over time; you do not need to arrive with a complete technical stack, but you should enjoy investigating how things work and building the skills to solve new problems. - The ability to operate effectively when requirements are ambiguous, information is incomplete, or the best path forward has not yet been defined. - A collaborative, generous approach to working with others, including a willingness to share knowledge, seek input, and improve team practices. - A demonstrated focus on measurable customer outcomes, not simply technical activity or product usage. - An interest in blockchain and a desire to keep building your understanding of the technology, the market, and the customers we serve. Total Compensation: • Base Salary Range: $160,000-$185,000 • Offers Commission: 75/25 OTE • Offers Equity AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: San Francisco, California WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion's mission is to make toolmaking ubiquitous—from wikis and documents to notes, tasks, and databases. Strong product intuition and user focus have driven adoption across organizations of all sizes. Millions of users now rely on Notion's building blocks to get work done. As Notion scales, there's a unique opportunity to build the data foundations that help our product and company reach their full potential. You'll design and build reliable, trusted datasets that accelerate decision-making across product and business functions, directly impacting our roadmap and growth. This role is based in our San Francisco Headquarters. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Define ETL processes and infrastructure to make data readily available across the company - Build core datasets as single sources of truth for product and business teams (product, marketing, sales, finance, customer experience, data science, operations, IT, engineering) - Partner with data scientists and stakeholders to understand their needs and design, build, and monitor pipelines that scale with our growing data - Implement automated workflows that reduce operational costs, define SLAs for timely data delivery, and democratize data through self-serve dashboards, discovery tools, and AI-enabled exploration SKILLS YOU'LL NEED TO BRING: - Self-starter who gathers high-impact needs from business partners, designs technical solutions, and communicates clearly about deliverables, timelines, and tradeoffs - 5+ years of experience as a data engineer building core datasets and supporting business functions, with a passion for analytics, data modeling, and solving complex problems - Strong understanding of scalable cloud data solutions (AWS, GCP, Azure) across multiple data stores (Snowflake, Redshift, Hive, SQL/NoSQL, columnar formats) and methodologies (dimensional modeling, data marts, schemas) - SQL expert, proficient with aggregation, window functions, UDFs, self-joins, and optimization techniques for writing correct, high-performance queries - Highly comfortable with object-oriented programming (Python, Java, Scala) - Expert at using AI and agent-based tools to accelerate data development for yourself and others, including defining guardrails, workflows, and context for safe, production-scale data work NICE TO HAVES: - Experience at a fast-scaling or SaaS company, with enthusiasm to contribute in such an environment (current Notion users especially welcome) - Hands-on experience designing and building highly scalable, reliable data pipelines using BigData stack tools (e.g., Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift) Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $179,000 - $200,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Lisbon Workplace: onsite About Spin.AI Spin.AI is a SaaS security company headquartered in Palo Alto, CA, protecting organizations against SaaS ransomware, data loss, data leaks, risky third-party apps, and compliance gaps across their mission-critical SaaS applications. SpinOne is an all-in-one SaaS security platform that brings together backup and disaster recovery, ransomware detection and response, data loss prevention (DLP), and SaaS security posture management (SSPM) for Google Workspace, Microsoft 365, Salesforce, and Slack. With the acquisitions of Revyz (backup and recovery for Atlassian Jira and Confluence) and DoControl (SaaS data loss prevention), Spin.AI continues to expand its coverage of the SaaS stack. More than 1,500 organizations worldwide trust Spin.AI to protect their data. Learn more here . Position Summary: We are looking for an experienced, technically strong, customer-obsessed Customer Support Engineer to support our European customers. You will be the first technical point of contact for IT administrators, security teams, and MSP partners, helping them get the most out of the Spin.AI platform—from onboarding and configuration to troubleshooting backups, restores, security alerts, and integrations. This is a hands-on role for someone who enjoys solving complex problems, explaining technical concepts clearly, and building trust with customers. You will work closely with our Engineering, Product, Customer Success, and Sales teams, and your feedback will directly shape the product and our knowledge base. This role is based in our Lisbon, Portugal office. You will work from the office during the week, and weekend work is done remotely. Hours follow European business hours, with some overlap with our US-based teams. What You Will Do: Provide technical support to customers and partners via email, chat, and video calls, meeting response and resolution SLAs. Research, diagnose, and resolve issues across Spin.AI products, including backup and restore, ransomware protection, DLP, SSPM/app risk assessment. Troubleshoot integrations with Google Workspace, Microsoft 365, Salesforce, Slack, including admin consoles, OAuth/API permissions, and service accounts. Guide new customers through onboarding, setup, and best-practice configuration. Reproduce issues, gather logs and evidence, and escalate to Engineering with clear, well-documented tickets; follow through until resolution. Manage and document cases accurately in our ticketing system (Jira Service Management), ensuring proper recording and closure of all issues. Write and maintain knowledge base articles, FAQs, and internal tech notes. Act as the voice of the customer—share recurring issues, feature requests, and product feedback with Product and Engineering. Partner with Customer Success and Account Management on adoption, renewals, and at-risk accounts, and flag expansion opportunities you spot in customer conversations. Prepare timely reports on support trends and contribute ideas to improve support processes and tooling, including AI-assisted support. What You Bring: 4+ years of experience in technical support, IT support, or a customer-facing engineering role, ideally at a B2B SaaS company, with a track record of owning complex technical escalations from start to finish. Hands-on administration experience with Google Workspace and/or Microsoft 365 (Entra ID, Exchange Online, SharePoint, OneDrive, Teams). Working understanding of SaaS and cloud concepts such as APIs, OAuth, SSO/SAML, user and permission models, and data retention. Strong troubleshooting and problem-solving skills, with the ability to work through ambiguous issues methodically. Excellent written and spoken English (C1 or higher) and the ability to explain technical topics to both technical and non-technical audiences. Excellent client-facing skills, empathy, and a sense of ownership for the customer outcome. Self-motivated and organized, able to work independently, both in the office and remotely on weekends, and prioritize multiple issues in a fast-paced setting. Curiosity and willingness to learn the platform deeply in order to deliver fast, effective support. Based in Lisbon, Portugal, or willing to relocate, and eligible to work in Portugal. Nice to Have: Experience with Salesforce, Slack, or Jira. Background in cybersecurity, data protection, backup/recovery, or DLP. Certifications such as Google Workspace Administrator or Microsoft 365 Administrator. Scripting or technical tooling skills (e.g., PowerShell, Python, REST API tools like Postman). Experience with Jira Service Management, Planhat, or similar support and CS tools. Additional European languages (e.g., German, French, Spanish, Italian). Experience supporting MSPs or channel partners Room to Grow: We invest in our people and want this role to be a launchpad. Depending on your strengths and interests, there is a clear path to grow into: Customer Success Manager (CSM): own a portfolio of customer relationships, drive adoption and retention, run business reviews, and work on renewals and expansions. Solutions Engineer (SE): partner with our Sales team on new business—running technical discovery, product demos, proofs of concept, and answering security questionnaires and RFPs. Your deep product knowledge and customer experience from support give you a strong foundation for either path. Benefits: A dream team of highly motivated and talented people, with ambitious goals and challenges that require strong analytical and communication skills. Competitive base salary + bonuses. Office in Lisbon, Portugal, with remote work on weekends. Medical insurance. Clear career growth paths into Customer Success or Solutions Engineering. Conferences, training, certifications, and other professional development opportunities. Team-building events. Employee Wellness Program Unlimited PTO Why Spin.AI? Inc. 5000 list for 2026! 🚀 Overall Ranking: #3,309 Industry Ranking: #107 Metro Ranking: #114 State Ranking: #463 Forbes Named Spin.AI One of America's Best Startup Employers THREE Years in a Row (2024- 2026) Work in a fast-moving, high-impact cybersecurity company recognized by Gartner, Forrester, and G2 . Collaborative, transparent culture – your ideas and experiments matter. Direct impact: your work translates into real business growth and visibility. Growth opportunities and performance-based rewards.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Make a difference. Are you looking for something new in your career? Enjoy a challenge? Love to innovate and learn? This is an exciting opportunity to join a technology startup in a high growth phase. Our Enterprise Solutions Engineering team are our in-house, customer-facing product experts.  The Enterprise SE team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure they are happy and successful.  We share our technical and product expertise with customers through demos, hands-on enablement, presentations, technical evaluations and ongoing interaction. We also partner closely with our Sales team to help qualify and close opportunities. The Enterprise SE team is also one of the primary routes of communication from our customers through into the Product Management and Engineering teams. What You’ll Be Doing: Join as an early member of a high growth team working together to solve technical and customer problems the right way Partner with our Sales team to articulate the overall Grafana value proposition, vision, and strategy to customers Own the technical engagement with customers and help to close high-velocity opportunities through advanced competitive knowledge, technical skill, and credibility Deliver product and technical presentations to potential and existing customers Proactively communicate with customers and internal teams to provide a feedback loop on our products and the competitive landscape Drive product conversations based on need and problems learned during customer interactions Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles, and create other public and internal enablement material What Makes You a Great Fit: Ideally located on the West Coast 5+ years of technical pre-sales experience, ideally with Open Source technologies, or in the Metrics/Monitoring space while we will be adding more junior folks later on, right now we just need team members that can hit the ground running. We’re a startup so your job duties will be varied and complex and will require strong judgment, collaboration, and leadership We are a remote-first company so you would need to learn to work and collaborate with an international team You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products You will love solving technical challenges and thrive on bringing creative solutions to our customers You should have a technical mindset and a desire to grow technically. Great candidates may be a recent grad of a coding bootcamp or have previous post-sales or engineering experience–we are excited to see what unique experiences and skill sets you bring to the table! You are self-motivated, initiative, creative, and maybe you’ve already done a brave thing or two in your life! Compensation & Rewards: In the United States the OTE (On-Target Earnings) compensation range for this role is $204,000 - $254,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Remote, AMER Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. Supabase is the backend of choice for a growing wave of AI-native builders, and we're deepening structured partnerships with the platforms they build on top of — Anthropic, OpenAI, Vercel, and Lovable. These partners' teams are talking to thousands of developers and agents who need exactly what we build—a full backend platform with Postgres at the core—without the vendor lock-in. This is an opportunity to get Supabase in front of the right partner SAs and make us the default recommendation for a modern, AI-ready backend. ABOUT THE ROLE We’re looking for a Platform Solutions Architect to join our Success Team and help embed Supabase into the Solutions and Engineering communities with AI Builders. You’ll work closely with Partner Solutions Architects and Partner Engineers at Anthropic, OpenAI, Vercel, and Lovable, helping us proactively identify builder problems where Supabase is the right solution and closing the gap between partner intent and real developer outcomes. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions of AI-native apps and agents. WHAT YOU’LL BE RESPONSIBLE FOR In this role, you’ll focus on three core pillars: TECHNICAL EVANGELISM & EDUCATION - Build deep relationships with Technical counterparts at Anthropic, OpenAI, Vercel, and Lovable, focusing initially on defined use cases and agent/app-migration motions. - Develop and deliver technical workshops, training materials, and enablement content to give partner SAs the fluency to position Supabase. - Create demos, integration guides, and reference architectures that make Supabase’s fit with Anthropic, OpenAI, Vercel, and Lovable immediately legible. - Partner with SAs at these companies on active opportunities to move deals forward and feeding technical pipeline intelligence back to the alliance lead. TECHNICAL SUPPORT & ENABLEMENT - Resolve blockers for partner SAs working on Supabase implementations to maintain their credibility with the builders they support. - Troubleshoot complex integration scenarios and turn solutions into reusable assets. - Maintain a close feedback loop with Supabase product and engineering teams to ensure technical guidance reflects the latest platform capabilities. - Measure success through co-sell opportunities sourced, influenced deals, and SA enablement metrics across the Anthropic, OpenAI, Vercel, and Lovable partnerships. CONTENT CREATION & THOUGHT LEADERSHIP - Write technical blog posts and case studies that demonstrate real-world Supabase implementations built on Anthropic, OpenAI, Vercel, and Lovable. - Represent Supabase at conferences, meetups, and partner-sponsored events (e.g. Anthropic and OpenAI dev days, Vercel Ship, Lovable community events). - Develop video content and interactive learning experiences to reduce the "time-to-fluency" for partner SAs. YOU MIGHT BE A GOOD FIT IF YOU - Have 5+ years of experience in technical roles with deep hands-on experience building on modern AI infrastructure. Previous experience working at Anthropic, OpenAI, Vercel, Lovable (or a similar AI builder platform) or as a partner to one is required. - Understand how partner SAs at AI builder platforms are incentivized, how they make recommendations, and how the partner ecosystem influences developer decisions. - Communicate clearly across both technical and non-technical audiences, explaining complex concepts with ease. - Have a strong technical foundation in PostgreSQL, APIs, and modern development frameworks like React and Next.js, plus fluency with AI/agent tooling (LLM APIs, MCP, agent frameworks). - Are comfortable navigating ambiguity and moving quickly to build a playbook from scratch. - Are energized by solving real-world problems for developers building the next generation of AI-native products. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Goodyear, United States Workplace: onsite Role type: Full-time Location: Goodyear, Arizona Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all.  Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning.  We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success.  Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide. GUS Education Arizona is a proud part of GUS. In collaboration with US partners, GUS Education Arizona is committed to delivering transformational educational opportunities in the USA. This position will support Avila University Arizona. Summary of role: The Student Services Coordinator is responsible for managing and coordinating student support services, administrative activities, and campus resources for all students at Avila University Arizona. The role holder assists with overseeing student progression and provides ongoing support and guidance to students, in addition to providing a high level of commitment to excellence and integrity in serving all key stakeholders. Key Responsibilities: Prepare a list of expected students for every intake and coordinate with the recruitment team to provide timely updates to management. Effectively plan and conduct student orientation, ensuring the orientation schedule is clearly communicated to all incoming students. Coordinate and actively participate in student residency weekends, campus activities, and other student-focused events. Provide students with guidance, resources, and support regarding housing and local accommodation options. Maintain up-to-date individual student files and follow up on incomplete documentation. Assist in the interim reviews of student records. Ensure faculty and teachers receive necessary support regarding classes, course materials, online access, schedules, and classroom resources. Provide basic technical support to students, staff and faculty as needed, troubleshooting routine issues and escalating complex problems to the appropriate technical support team. Communicate with students proactively regarding any schedule changes, policy updates, or important campus notifications. Ensure students receive efficient and professional resolutions to their inquiries, issues, or complaints. Register new students on the online Learning Management System (LMS) and verify that all students are enrolled in their required courses. Assist in preparing the list of required course books/materials, coordinate with suppliers, and manage the distribution of these resources to students. Assist in the development and drafting of the Student Handbook, ensuring program information and any policy or procedural improvements are accurately updated. Work closely with Academic Management and all department heads to continuously improve program delivery and enhance the overall student experience. Coordinate the progress test and exam schedules for each semester. Actively assist in the preparation and proctoring/invigilation of exams, and securely process, scan, and file marked assessments and student scripts. Assist with student refund inquiries and related communications from current and prospective students as required. Issue relevant documentation to students, including leave of absence requests, enrollment/attendance letters, course transcripts, and student ID cards. Upload student transcripts and academic records to required third-party portals or systems on a timely basis. Manage the daily operations of the campus student services desk and effectively address issues affecting any stakeholders. Provide basic technical support Perform other related duties as assigned. Qualifications: Undergraduate degree in a relevant discipline required. Minimum 2-3 years’ experience working in a higher education setting, ideally supporting a diverse student body including international students. Excellent communication skills, both verbal and written. Knowledge of higher education compliance standards and relevant institutional/state regulations. Acts with ethics, accountability, and integrity; demonstrates sound judgement and respect for the individual in all interactions. Proven ability to build trusting and productive relationships with students, faulty, and all key stakeholders. Excellent time-management skills and the ability to prioritize effectively in a busy campus environment. Ability to work well under pressure, adapt to changing situations, and meet tight deadlines. Work Conditions: Primary Work Environment: This position requires a primarily on-site presence at the Goodyear campus to actively support daily operations, student services, and campus events. Schedule Requirements: Occasional weekend or evening work is required to support student residency weekends, orientations, and other campus events. Physical Requirements: The role involves frequent work at a desk utilizing a computer and standard office equipment. It also requires occasional minor lifting (e.g., moving event materials, marketing collateral, or standard office supplies) and navigating the campus facility to oversee events, maintenance, and daily activities. If you feel this is the role you are looking for, please click below to apply for the role! We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS Education Arizona is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive, welcoming environment for all employees and students. All employment decisions are based on qualifications, merit, and campus needs, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Location: Goodyear, United States Workplace: onsite Role type: Full-time Location: Goodyear, Arizona Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all.  Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning.  We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success.  Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide. GUS Education Arizona is a proud part of GUS. In collaboration with US partners, GUS Education Arizona is committed to delivering transformational educational opportunities in the USA. This position will support Avila University Arizona. Summary of role: The Student Services Coordinator is responsible for managing and coordinating student support services, administrative activities, and campus resources for all students at Avila University Arizona. The role holder assists with overseeing student progression and provides ongoing support and guidance to students, in addition to providing a high level of commitment to excellence and integrity in serving all key stakeholders. Key Responsibilities: Prepare a list of expected students for every intake and coordinate with the recruitment team to provide timely updates to management. Effectively plan and conduct student orientation, ensuring the orientation schedule is clearly communicated to all incoming students. Coordinate and actively participate in student residency weekends, campus activities, and other student-focused events. Provide students with guidance, resources, and support regarding housing and local accommodation options. Maintain up-to-date individual student files and follow up on incomplete documentation. Assist in the interim reviews of student records. Ensure faculty and teachers receive necessary support regarding classes, course materials, online access, schedules, and classroom resources. Provide basic technical support to students, staff and faculty as needed, troubleshooting routine issues and escalating complex problems to the appropriate technical support team. Communicate with students proactively regarding any schedule changes, policy updates, or important campus notifications. Ensure students receive efficient and professional resolutions to their inquiries, issues, or complaints. Register new students on the online Learning Management System (LMS) and verify that all students are enrolled in their required courses. Assist in preparing the list of required course books/materials, coordinate with suppliers, and manage the distribution of these resources to students. Assist in the development and drafting of the Student Handbook, ensuring program information and any policy or procedural improvements are accurately updated. Work closely with Academic Management and all department heads to continuously improve program delivery and enhance the overall student experience. Coordinate the progress test and exam schedules for each semester. Actively assist in the preparation and proctoring/invigilation of exams, and securely process, scan, and file marked assessments and student scripts. Assist with student refund inquiries and related communications from current and prospective students as required. Issue relevant documentation to students, including leave of absence requests, enrollment/attendance letters, course transcripts, and student ID cards. Upload student transcripts and academic records to required third-party portals or systems on a timely basis. Manage the daily operations of the campus student services desk and effectively address issues affecting any stakeholders. Provide basic technical support Perform other related duties as assigned. Qualifications: Undergraduate degree in a relevant discipline required. Minimum 2-3 years’ experience working in a higher education setting, ideally supporting a diverse student body including international students. Excellent communication skills, both verbal and written. Knowledge of higher education compliance standards and relevant institutional/state regulations. Acts with ethics, accountability, and integrity; demonstrates sound judgement and respect for the individual in all interactions. Proven ability to build trusting and productive relationships with students, faulty, and all key stakeholders. Excellent time-management skills and the ability to prioritize effectively in a busy campus environment. Ability to work well under pressure, adapt to changing situations, and meet tight deadlines. Work Conditions: Primary Work Environment: This position requires a primarily on-site presence at the Goodyear campus to actively support daily operations, student services, and campus events. Schedule Requirements: Occasional weekend or evening work is required to support student residency weekends, orientations, and other campus events. Physical Requirements: The role involves frequent work at a desk utilizing a computer and standard office equipment. It also requires occasional minor lifting (e.g., moving event materials, marketing collateral, or standard office supplies) and navigating the campus facility to oversee events, maintenance, and daily activities. If you feel this is the role you are looking for, please click below to apply for the role! We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS Education Arizona is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive, welcoming environment for all employees and students. All employment decisions are based on qualifications, merit, and campus needs, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Location: Remote; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle We’re looking for a Senior HR Generalist to own the day-to-day of Runway’s HR function and shape how it scales. You’ll run core programs end to end, advise managers and employees on sensitive situations, unblock teams so they can move faster and build the processes that keep a fast-growing team compliant and well supported. You’ll work directly with the HR Manager as a strategic partner, and you’ll have the autonomy to make decisions, set priorities and fix what’s broken without waiting to be asked. WHAT YOU’LL DO - Own the employee lifecycle from onboarding through offboarding for full-time employees and contractors, and keep improving the process as the team grows - Own HRIS administration and data integrity in Rippling, including reporting, audits and workflow automation - Manage employee visa and immigration processes in partnership with outside counsel - Oversee leave administration and accommodations across jurisdictions, and keep policies and practices compliant with current employment law - Run key programs end to end with the HR Manager, including performance reviews, open enrollment, engagement surveys and compensation cycles - Act as the go-to resource for employees and managers on benefits, policies and HR processes - Identify gaps in HR operations and ship fixes: updated policies, clearer documentation and more efficient tooling - Pitch in wherever the team needs; no task is too small if it moves things forward WHAT YOU’LL NEED - 5+ years of experience in an HR Generalist or people operations role at a high-growth company - Deep working knowledge of benefits, leave administration, immigration basics and employment law across multiple states - Experience running company-wide programs such as performance cycles, open enrollment and engagement surveys - Strong HRIS skills, with Rippling experience a strong plus - Clear written and verbal communication, and the credibility to advise managers and senior leaders - Comfort operating independently in a fast-paced, ambiguous environment - Exceptional organization and attention to detail - A high ownership mindset and a team-first attitude Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Poland; Peru; Latvia; Colombia; Argentina; Romania; Slovenia; Lithuania; South Africa; Czech Republic; Estonia; Hungary; Mexico; Chile; Slovakia; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Consumer team owns the Kraken app experience used by millions of traders and crypto newcomers worldwide, the product that turns someone's first crypto curiosity into a long-term relationship with Kraken. We build the interfaces people actually use to buy, sell, manage their portfolio, and interact with their assets. Our stack is React on web and React Native on mobile, and we ship fast, measure everything, and iterate based on real user behaviour. We work agile, globally distributed, and we care as much about why we build something as how we build it. We're looking for a world-class Senior Frontend Engineer to join our product-minded engineering team: we care about customer problems, measurable outcomes, frontend craft, and fast iteration. We work across web and mobile surfaces, partner closely with Product, Design, Data, and Platform teams, and use experimentation, observability, and user behaviour to guide what we build next.   THE OPPORTUNITY - Design, develop, and maintain high-quality consumer-facing features across web (React) and mobile (React Native), owning the full experience from concept to production monitoring. - Own the full lifecycle of product work, from discovery and technical design through release, monitoring, experimentation, and iteration. - Drive A/B testing and experimentation strategies forming hypotheses, designing experiments, analysing results, and iterating based on data. - Partner with Product, Design, Data, and Mobile engineers to create coherent experiences across Kraken’s consumer surfaces. - Make opinionated technical decisions on framework and architecture choices (we want engineers who have strong views on things like TanStack Router vs Next.js App Router and can back them up with real experience). - Set the standard for high-quality code — functional correctness, accessibility, performance, and testability are non-negotiables. - Mentor engineers across seniority levels and contribute to a culture of craft and continuous improvement. - Lead and collaborate on complex cross-platform initiatives, driving alignment across web and mobile surfaces. - Stay ahead of the curve on React ecosystem tooling, React Server Components, concurrent features, streaming, and bring those insights back to the team. - Work AI-natively, we use AI tools across the full SDLC and expect engineers to have a structured, opinionated workflow, not just autocomplete.     WHAT YOU BRING - 6+ years of professional software development experience with a strong focus on consumer-facing web and/or mobile products. - Deep expertise in TypeScript and the React ecosystem, you have opinions about state management, data fetching patterns, and component architecture, and you can articulate the trade-offs. - Production experience with React Native and cross-platform mobile development, including App Store and Google Play release pipelines. - Experience with Next.js — specifically familiarity with App Router, React Server Components, and the client/server boundary decisions that come with them. - Hands-on experience with A/B testing, feature flags, and experimentation frameworks (LaunchDarkly, Optimizely, or similar). - Experience with WebSockets or Server-Sent Events for real-time UI updates. - Strong testing culture Jest, React Testing Library, Playwright or Cypress, and the judgement to know when to use each. - Familiarity with modern build tooling (Vite, Webpack, CI/CD pipelines) and performance profiling. - Experience in fintech, crypto, payments, or other high-trust consumer products where correctness and user confidence matter. - Strong written and verbal English, you can write a clear RFC, give direct feedback in a PR review, and explain a technical trade-off to a non-technical stakeholder. - An active AI-assisted development workflow, Cursor, Claude Code, Copilot, or equivalent with the engineering rigour to review and own what gets produced.           Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Москва Workplace: Комбинированный Мы команда Nova Core и отвечаем за то, как разработчики VK взаимодействуют с платформой. Именно к нам приходят, чтобы создать новый сервис и поднять для него всё необходимое. Мы закрываем основные сценарии управления инфраструктурой и делаем платформу надёжной и консистентной. Мы совмещаем качества и продуктовой, и инфраструктурной команд. Несмотря на техническую сложность, у нас есть прямые каналы связи с пользователями, и результаты работы практически сразу получают реакцию от потребителей. Мы не делаем задачи в стол, а идём от проблематики пользователей и улучшаем их опыт использования платформы. Задачи Развивать фронтенд и бэкенд-платформы управления сервисами и ресурсами компании Улучшать, автоматизировать и упрощать рабочие сценарии продуктовых команд Придумывать и разрабатывать новые инструменты управления инфраструктурой Требования Умение самостоятельно вести разработку: от проработки идеи, проектирования и технической декомпозиции до вывода решения в продакшен Понимание принципов разработки отказоустойчивых распределённых систем и асинхронной микросервисной архитектуры Уверенное владение стеком Golang + PostgreSQL + Kafka, опыт работы с Kubernetes или подобной системой оркестрации Умение читать код на Java: мы пишем в основном на Go, но часто взаимодействуем с Java-сервисами Готовность погружаться в специфику технологий и разбираться в нюансах обеспечения высокой доступности: от балансировщиков и баз данных до распределения контейнеров по серверам Будет плюсом Опыт разработки инфраструктурных или платформенных продуктов Опыт на Java (+Spring) стеке Опыт работы с облачной инфраструктурой или managed-сервисами