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Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE We're hiring a Product Manager to own the WorkOS Dashboard and help developers get more value from our products. You'll work on the experience of getting started, building an integration, adopting additional capabilities, and expanding usage as a customer's needs grow. This is a product role with a clear growth mandate. You'll build features and improve workflows that help developers succeed, using customer research and product data to understand where people find value and where they get stuck. You'll own the connection between a better developer experience and outcomes such as activation, adoption, expansion, and retention. You'll partner closely with engineering and design to shape the Dashboard roadmap and ship improvements. You'll also work across Product, Marketing, Sales, Data, and Finance to connect what developers experience in the product with how WorkOS grows. WHAT YOU'LL DO - Own the Dashboard product roadmap, with accountability for the developer experience and the growth outcomes it supports. - Talk to developers and observe how they use the Dashboard alongside APIs, documentation, and the rest of their workflow. - Build features that help developers get started, complete integrations, discover relevant capabilities, and expand their use of WorkOS. - Improve onboarding and reduce the time it takes a new developer to get value from the product. - Identify friction across the customer journey and prioritize opportunities using customer research, product analytics, and business impact. - Define and track measures of activation, adoption, monetization, expansion, and retention. Use experiments to evaluate changes and decide what to build next. - Partner with engineering and design to ship clear, useful experiences for technical users. - Work with Marketing and Sales on product discovery, product-qualified leads, and the path from self-serve adoption to enterprise use. - Communicate product strategy, priorities, and results clearly across the company. WHAT WE'RE LOOKING FOR - 5+ years of product management experience with ownership of meaningful business outcomes. - Experience building developer tools, API products, infrastructure products, or technical B2B SaaS. You understand developers and how they use dashboards to work with a technical product. - A track record of shipping features that improve onboarding, activation, adoption, monetization, expansion, or retention. - Experience with product-led growth and a clear understanding of how product improvements lead to customer and business outcomes. - Strong product instincts backed by customer research and data, including experience designing and evaluating experiments. - Experience with API or usage-based pricing models and how they shape the customer experience. - The ability to make decisions with incomplete information and move quickly with engineering and design. - Strong cross-functional collaboration across Product, Engineering, Design, Marketing, Sales, Data, and Finance. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: PHD is required Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $25-$30 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role Nebius is hiring a Senior Director of GSI and Regional SI Partnerships to build and scale our global systems integrator program from the ground up. This is an infrastructure-first alliances role: we are looking for a leader who deeply understands AI cloud, inference, and high-performance computing (HPC) infrastructure, and who has a proven track record of turning that infrastructure into services-led, repeatable solutions that partners sell and deliver to enterprise clients worldwide. The strategy is deliberately two-fold. On one side are the marquee, long-tail global systems integrators — the strategic, higher-effort relationships that compound into durable, large-scale revenue over time. On the other are the fast-moving, AI-native systems integrators and emerging AI consultancies — the short-tail, quicker-to-win partners who can source and land opportunities far faster than the traditional GSIs. We need a leader who can build and balance both motions, and who already has the relationships and instincts to activate the AI-native ecosystem quickly. You will own the strategy, architecture, and execution of Nebius's GSI motion globally, while building the regional structure to activate partners across AMER, EMEA, and APJ. You will combine partner strategy, solution and offering development, and hands-on execution, working shoulder-to-shoulder with sales, solution engineering, product, and marketing. This is a builder's role for someone who has operated in fast-moving, high-growth environments and can create frameworks, offerings, and playbooks where none exist. Travel is expected for executive meetings, QBRs, and key industry or partner events. What You'll Do Build the global GSI program and team. Design and own the end-to-end partner framework — segmentation, prioritization, tiering, and engagement model — spanning both marquee global systems integrators and AI-native SIs and stand up the regional operating model to execute it consistently across priority markets. Activate the AI-native SI ecosystem for speed. Identify, recruit, and mobilize fast-moving, AI-native systems integrators and emerging AI consultancies as a short-tail motion that sources and lands opportunities quickly — a deliberate complement to the longer-cycle strategic GSIs. Fit Nebius into partner services — and build new ones. Map how the Nebius platform plugs into each partner's existing service portfolio, and co-build the reference architectures, accelerators, and repeatable offerings that turn it into revenue they can package, sell, and deliver at scale. Develop senior and field relationships. Build durable relationships across GSI sales, cloud/infrastructure, HPC, AI/ML, and industry practices — from practice leads and architects to executive sponsors. Define commercial models. Establish sell-with, resale, co-sell, and managed-service models with the governance, economics, and incentives that make each partnership commercially successful for both sides. Drive joint pipeline and revenue. Map target accounts, run co-sell motions, and secure Nebius inclusion in GSI pursuits to generate material, repeatable, GSI-influenced revenue and consumption. Enable partner technical and sales teams. Build the enablement, certification, and deployment blueprints that make GSI teams self-sufficient on the Nebius platform. Launch joint go-to-market. Partner with marketing on campaigns, events, and thought leadership focused on AI infrastructure and AI cloud. Own the numbers. Track and report GSI-influenced pipeline, revenue, and consumption, holding internal and partner stakeholders accountable to shared goals. What You Bring AI-, infrastructure-, and technology-savvy. Deep, credible fluency across AI cloud and GPU infrastructure, IaaS/PaaS, Kubernetes, and modern AI/ML workloads — enough to earn the trust of partner architects and practice leads, see how Nebius fits into a partner's existing services, and help them build new services around it. A track record building services and solutions with SIs. You've built offerings, practices, and reference solutions around an infrastructure or platform product with systems integrators — not just managed a relationship, but created what partners take to market. A dual network across GSIs and AI-native SIs. You bring existing relationships with both the large strategic GSIs and the emerging, AI-native systems integrators and AI consultancies, and you understand how to work each — landing quick wins through the AI-native ecosystem while building the longer-term strategic partnerships in parallel. Global programs and regional build. Experience running global GSI or alliance programs and standing up the regional structures to execute across multiple geographies, accounting for local partner dynamics, delivery models, and incentives. A builder's mindset. You have created frameworks, offerings, and playbooks from scratch and thrive in early-stage, high-growth environments. Startup or 0-to-1 experience is a strong plus. Product savvy. You understand how infrastructure products are built and positioned, and you can work closely with product teams to shape roadmap and packaging for partner-led motions. Commercial savvy. You can design commercial models, negotiate, and build the economics of partnerships that scale into meaningful, repeatable revenue. Experience. 10+ years in cloud/infrastructure partner management, GSI alliances, or consulting-led enterprise GTM, including senior program leadership. Time at a hyperscaler, GPU/AI cloud, HPC or infrastructure provider, or cloud-native ISV working closely with GSIs is highly valued. Deep SI knowledge. You understand how systems integrators build and run cloud, data, and AI practices — their sales cycles, delivery models, and incentive structures. Why Nebius Be the founding global GSI leader for a high-growth, Nasdaq-listed AI infrastructure company. Direct access to advanced AI builders and enterprise buyers through joint Nebius–GSI engagements. High visibility, executive sponsorship, and the autonomy to design and execute a global GSI program with significant impact on Nebius's growth. Compensation We offer competitive salaries, ranging from 325k - 400k OTE based on your experience. Key employee benefits in the US: #LI-JT1 Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $183,360 — $229,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re hiring a People Business Partner to support our team during a critical phase of growth. This is a highly strategic, high-impact role for someone who has partnered closely with leadership teams and helped organizations scale with intention. You will be deeply embedded with managers, bringing clarity and rigor to how teams are structured, how leaders operate, and how talent is developed across the organization. You’ll help shape team effectiveness, identify critical talent gaps, drive talent and performance strategies that enable high-performing teams, and build the people practices and change management approaches that allow us to scale with both speed and discipline. This role requires strong business judgment and the ability to operate with deep context. You’ll partner closely with leaders to navigate complex organizational decisions, anticipate challenges before they surface, and bring a clear point of view on what great looks like at every level of the organization. RESPONSIBILITIES Strategic partnership to leadership - Serve as the trusted people partner to leadership, maintaining deep business context and translating it into people priorities by proactively surfacing systemic issues, risks, and opportunities before they become urgent. - Bring data-driven insights to advise management on org design, succession planning, performance, retention, and engagement. - Build management capacity across the org, equipping leaders with the skills and frameworks to hire well, set clear expectations, give direct feedback, and develop their teams. - Partner with leadership, Talent, and Finance on headcount planning and tracking. Support annual planning and ongoing adjustments to hiring plans as business priorities and team needs evolve. - Support change management efforts across teams, ensuring leaders and cross functional teams can successfully navigate growth, evolving strategy and changing org structure. Performance and talent management - Drive a high-performance culture, supporting clear expectation setting, rapid ramping, ongoing accountability, regular performance reviews, and rigorous performance management. - Navigate high-stakes people matters (investigations, performance exits, organizational change), balancing compliance and risk management with compassion and a human approach. - Advise on role architecture, career pathing, and promotion readiness within the org, proactively identifying top talent and flight risks to inform retention and development strategies. - Collaborate with Compensation on salary benchmarking, equity strategy, and offer approvals to keep hiring competitive and internally equitable. - Partner closely with People Operations on employee lifecycle execution. Develop best practices and strong documentation practices for role changes, promotions, leaves, and terminations. - Collaborate with Workplace Experience to ensure teams have what they need across our offices, from team onsites and offsites to day-to-day environment asks. REQUIREMENTS - 6+ years of progressive People Business partner experience, partnering with all levels of management, from VP+ leaders to frontline and first-time managers, across a range of functions. - Experience supporting 400+ employee organizations through rapid growth, with deep expertise in org design, performance management, talent strategy, and leadership development. - Strong business acumen, with the ability to understand priorities and trade-offs and quickly build credibility and deep context with the functions you support. - Proven ability to navigate complex, high-stakes people decisions with speed and sound judgment, grounded in risk awareness. - Highly analytical and first-principles thinker who uses data to diagnose root causes and builds simple, scalable processes over heavyweight systems. - Thrives in high-growth environments defined by ownership, pace, and ambiguity. High-ownership mindset with a bias toward execution and building repeatable systems. - Extremely clear written and verbal communication skills, balancing nuance with directness to build trust and align stakeholders. - Able to work in-person 3+ days per week in San Francisco. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. We are seeking a Incident Response Lead to drive security incident response across the enterprise. In this role, you will serve as the primary internal escalation point and hands-on responder for security incidents, partnering closely with WHOOP’s 24x7 SOC provider and cross-functional stakeholders to investigate, contain, and remediate threats. This is a highly technical individual contributor role with significant ownership and visibility across Security, IT, GRC, and Legal. RESPONSIBILITIES: - Lead hands-on incident response activities, serving as the primary internal escalation point for security events - Serve as the central incident commander across Security, IT, GRC, and Legal during active incidents - Partner with the SOC to validate alerts, guide investigations, and drive containment and eradication efforts - Conduct host, cloud, and log-based investigations, and coordinate with external forensic firms when needed - Maintain and continuously improve incident response playbooks, escalation procedures, and communication workflows - Lead post-incident reviews and root cause analysis, ensuring remediation actions are clearly defined and tracked - Develop and execute tabletop exercises and incident simulations to test and strengthen response readiness - Partner with GRC and Legal to support breach impact assessments and regulatory notification processes - Drive continuous improvement of detection and response capabilities across SIEM, EDR, cloud monitoring, and identity systems - Own incident metrics and reporting, including response times, trends, and systemic risk reduction initiatives - Participate in an on-call escalation rotation to provide after-hours incident leadership when required QUALIFICATIONS: - 7+ years of experience in incident response, digital forensics, threat detection, or SOC operations - Proven experience leading incident investigations in complex, cloud-native environments - Strong experience conducting host, cloud, and log-based investigations - Hands-on expertise with SIEM platforms, EDR tools, and cloud security monitoring - Experience working with external SOC or MDR providers - Strong understanding of attack frameworks (MITRE ATT&CK) and their application to detection and response - Experience supporting breach response obligations under GDPR, HIPAA, PCI, or similar regulatory frameworks - Excellent communication skills with the ability to coordinate cross-functional stakeholders under pressure - Bachelor’s degree or relevant certifications (GCIH, GCFA, CISSP, or equivalent) This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $130,000 - $170,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.  In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Home Based - Americas; Home based - EMEA The Workplace Engineering function sits at the intersection of traditional HR analytics and modern Product Engineering. We transform raw workforce data into a suite of "People Products" that drive high performance. We don’t just "report" on what happened; we engineer the tools and insights that determine what happens next. This new role will report directly to the Global Head of Workplace Engineering, and sits within our Data discipline inside of our People department. Experienced data professionals at Canonical live at the intersection of software, data, and the business. They don't just help surface analytic artifacts; they help transform them into a strategic asset that elevates decision making and innovation across our global operations (e.g., sales, marketing, engineering, and human resources). They balance technical precision with business pragmatism, designing and iterating on experiments, automations, and products that transform insights into valued outcomes. They shape tomorrow's AI/Data stack in open source, ensuring that Canonical remains at the forefront of data-driven excellence. Their curiosity is contagious and has an amplifying effect on data literacy and stewardship across the business teams they support. Location: This is a remote role based in the AMER or EMEA Region. The role entails Multi-Disciplinary Leadership:  Lead and mentor a specialized squad of People Data Scientists, Software Engineers, and UX Designers. You aren't just managing analysts; you are leading a product squad. Product Ownership on People Science: Bridge the gap between "HR-speak" and "Dev-speak", ensuring engineers understand the human behavioral intent behind the code. Strategic Insight & Business Outcomes: Move beyond descriptive metrics (e.g., turnover rate) to predictive and prescriptive insights (e.g., predicting attrition risk based on "Time-Product" engagement data). Data Stewardship & Product Storytelling: Act as the "Translator-in-Chief". Take complex data models and turn them into compelling narratives. Lead the development of AI Agents that can surface insights to managers in real-time. Ensure the "People Data Stack" is secure, GDPR/privacy-compliant, and acts as a "Single Source of Truth" across all People related offerings, products and services. “Effectiveness at Work” Strategy: Identify opportunities to leverage “High Tech” solutions in our People offerings, and free up more time for “High Touch”, human involvement, thereby maximizing human value. What we are looking for in you Background in data science, mathematics, or engineering, skilled in advanced statistics, data wrangling/science, databases (SQL, etc.) or software engineering. Strength in coding/scripting languages (Python, R, JavaScript, etc.), software engineering, visualization (e.g. Superset, Tableau), and automation. Ability to translate business questions to key research objectives. Ability to identify the best methodology to execute research, synthesize and analyze findings. Proven ability to lead and drive others to execute against well planned roadmaps, with a strong mentor/coaching mindset. Willingness to examine the status quo and be resilient in the face of challenges. Ambition to build tomorrow's AI/Data stack in open source. An exceptional academic track record from high school and university. Business level written and spoken English. Sincere personal motivation aligned with our mission. International travel 2-4 times a year for company events up to two weeks long. In addition we expect that you will match our values, by being: Precise, taking care to deliver correctness and clarity. Reliable, delivering high quality work that builds trust and confidence. Accessible, collaborating to build products and systems that are usable. Adroit, blending enthusiasm, knowledge, adaptability, style and character. Nice-to-have skills Experience with dbt (Data Build Tool), Airbyte, Ranger, Superset, Temporal, or Trino Basic understanding of containerization technologies such as Docker and Kubernetes Agentic Engineering Product management User experience and design What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Bi-annual compensation review Company recognition rewards 40 days annual leave per annum, including public holidays and our All Company holiday periods Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing. Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP is seeking a Governance, Risk, and Compliance Analyst II, to lead the day-to-day operation and support the ongoing risk management program at GRC in a fast-paced, high-growth environment. This role is responsible for operations of GRC initiatives - including but not limited to structured cybersecurity and AI risk assessments, exceptions management, SDLC reviews and security compliance process ownership. The role will partner closely with Legal, Security, Product, and other teams to advance compliance objectives, reduce enterprise risk, and strengthen operational resilience. The ideal candidate combines strong analytical thinking, critical risk mind-set, familiarity with AI governance and has the ability to communicate complex risk scenarios clearly to both technical and non-technical stakeholders. RESPONSIBILITIES: - Lead governance, risk assessment, and compliance activities specific to AI/ML systems, LLM integrations, AI agents, and retrieval-augmented workflows - Partner with the Senior Security Engineer, AI/ML to integrate risk assessment findings into GRC frameworks and translate technical risk into governance requirements - Develop, maintain, and refine AI risk and compliance controls aligned with relevant frameworks, including ISO/IEC 42001, NIST Cybersecurity Framework, NIST AI Risk Management Framework, EU AI Act, GDPR, and other applicable standard - Execute risk assessments for new AI vendors, LLM platforms, AI APIs, and enterprise AI tools, including third-party risk scoring, control mapping, and remediation tracking - Manage the vendor risk assessment lifecycle for AI/ML related suppliers, ensuring documented controls, evidence collection, and follow-up on remediation items - Support audit activities, capturing evidence and coordinating cross-functional stakeholders for internal and external compliance reviews involving AI systems - Develop and maintain AI-specific GRC policies, standards, and procedures that map to AI risk domains, explainability requirements, and compliance obligations - Facilitate AI risk and compliance reporting to leadership, including risk dashboards, trend analysis, control effectiveness measurements, and key metrics - Monitor emerging AI governance requirements, guidance, and best practices, translating them into GRC program updates and compliance recommendations - Support security incident documentation and post-incident analysis for AI system events, coordinating with Legal and Security teams to ensure appropriate governance response QUALIFICATIONS: - 6+ years of experience in Governance, Risk & Compliance, including risk assessment, policy development, audit coordination, and third-party risk management - Demonstrated experience performing governance or risk assessments for AI/ML systems, including LLM integrations, model pipelines, AI agents, or data-driven algorithmic systems - Experience translating AI-specific risks (i.e., data poisoning, prompt injection, model misuse, data leakage, explainability gaps) into documented control requirements and governance standards - Hands-on experience conducting third-party risk assessments for AI vendors, LLM platforms, AI APIs, or machine learning service providers - Experience mapping AI-related risks and controls to frameworks such as ISO/IEC 42001, NIST CSF, NIST AI RMF, ISO/IEC 42001, GDPR, PCI DSS, or similar standards - Strong understanding of data governance concepts relevant to AI systems, including training data lineage, data retention, model output handling, and human oversight requirements - Experience supporting regulatory readiness or compliance efforts related to AI systems - Proven ability to collaborate with engineering and security teams to validate control implementation and remediation - Bachelor’s degree in Information Security, Computer Science, Business Risk, Compliance, or a related field This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $100,000 - $140,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.  In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. As a Senior GRC Analyst, you will play an important role in supporting WHOOP's information security governance, risk, and compliance program. You will lead security risk assessments, evaluate security controls, identify gaps, and support risk remediation efforts across the organization. Partnering with Product Security, Engineering, IT, Legal, and other stakeholders, you will help evaluate technical security risks, support Secure SDLC reviews, and improve the effectiveness of security controls and processes. We are seeking a detail-oriented, proactive GRC professional with a solid foundation in information security, technical security risk assessment experience, and the ability to work independently while collaborating effectively with engineering teams. RESPONSIBILITIES - Lead information security risk assessments and technical security control reviews across applications, cloud infrastructure, enterprise systems, and third-party technologies. - Manage and govern security risks, control gaps, and remediation activities, ensuring accurate and timely updates to the leadership. - Develop, document, and continuously improve GRC standard operating procedures (SOPs) to ensure consistent, efficient, and scalable execution of GRC processes. - Lead Secure SDLC reviews in partnership with Product Security and Engineering, reviewing security testing practices, vulnerability management, and evidence of control effectiveness. - Assess security exception requests, evaluate associated security risks and compensating controls, and translate into business risks for leadership review / acceptance and approval process. - Track and report security risk metrics, including security gaps, exception remediation status, and overdue risks. QUALIFICATIONS - 6+ years of experience in information security, cybersecurity risk management, or GRC, preferably in a technology-driven organization. - Strong understanding of cybersecurity principles and technical security controls, including application security, Secure SDLC, vulnerability management, and cloud security. - Experience conducting technical security risk evaluation, identifying security gaps, and tracking remediation activities. - Experience managing security risk registers / security exceptions register, and documenting risk assessments and findings. - Strong understanding of regulations and security frameworks such as GDPR, NIST CSF, ISO 27001 and 42001, HIPAA/HITRUST, and SOC 2. - Strong analytical, documentation, and communication skills, with the ability to engage technical stakeholders and independently manage assigned assessments. - A minimum bachelor’s degree in any discipline. Computer science, cyber security and risk or technology degrees preferred. BONUS QUALIFICATIONS - Industry certifications such as CISA, CISSP, CISM, or CRISC. - Experience conducting technical security control reviews in cloud-native or software-driven organizations. - Familiarity with DevSecOps, AI governance, Zero Trust principles, and Secure SDLC practices. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $130,000 - $170,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.  In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: USA - Austin (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. Customer Solutions Architect About the role The Customer Solutions Architect (CSA) is the primary post-sales technical owner for our existing customers, helping them get the most value from the combined Fivetran and dbt platform. Working alongside Account Executives (AEs) and Solutions Engineers (SEs), the CSA makes sure customers not only deploy successfully, but keep scaling and expanding their usage over time. This role operates as a technical account manager and strategic advisor, bridging the gap between onboarding success and long-term growth. The CSA owns the technical narrative after go-live: monitoring an existing book of business, leading technical discussions, uncovering new data challenges, and guiding customers through architecture evolution, adoption, and expansion through live demos and technical workshops. Unlike implementation-focused roles, the CSA is accountable for both retention and growth, and is measured on incremental ARR, Net Revenue Retention (NRR), and Gross Revenue Retention (GRR). You will act as a trusted advisor, advocate, and accelerator, ensuring customers derive maximum value from their data investments while aligning their technical roadmap with the platform's capabilities. Location: Austin, TX (hybrid). This is a full-time position, and candidates must be located in greater Austin area and able to work in the office two days a week (Tuesday and Thursday). What you'll do Product Adoption and Customer Value Realization Own post-sales technical engagement across a portfolio of assigned Commercial and Enterprise accounts Drive adoption, optimization, and ongoing usage of the platform, moving customers after initial deployment to sustained, scalable success Educate customers on new products and features as they launch, and on existing capabilities they may not be using Deliver enablement sessions, workshops, and best-practice guidance Monitor account health signals (usage, performance, support trends) and proactively intervene to address churn or contraction risks, including running implementation reviews and healthcheck sessions Expansion and Growth Identify, validate, and execute expansion opportunities across business units, regions, and use cases, including opportunities to bring both Fivetran and dbt into an account Translate customer initiatives into scalable data workloads and technical solutions Partner with account teams to drive incremental ARR through expansion plays. Replicate successful use cases across the organization to accelerate growth Provide strategic input on the customer lifecycle and renewals process Technical Strategy and Architecture Define and maintain Enterprise Reference Architectures aligned to customer environments, ensuring architectural consistency and scalability across implementations Guide customers on best practices for data pipelines, transformation, automation, and platform adoption Maintain technical artifacts such as architecture documentation, design patterns, and knowledge bases Stakeholder Engagement and Account Planning Build and maintain strong relationships with technical, operational, and executive stakeholders, using stakeholder maps and multi-threaded engagement strategies Run regular technical cadence calls, business reviews, and roadmap sessions Contribute to Mutual Account Plans and own Mutual Success Plans, mapping whitespace opportunities across business units, subsidiaries, and use cases Align customer technical strategy with business objectives and commercial plans Internal and Partner Collaboration Act as the technical orchestrator across Sales, Professional Services, Product, and Engineering, keeping delivery teams aligned with long-term expansion strategy Advocate for customer needs internally, influencing the product roadmap and priorities Collaborate with technology partners (e.g., Snowflake, Databricks, AWS, GCP) to drive joint value Help improve team processes, refine assets, and enable teammates through our knowledge-sharing loop Thought Leadership Contribute to and deliver external-facing content through live events, speaking engagements, blog posts, recorded tutorials, or other educational resources Work closely with Regional and Product Marketing teams to support field and industry events Support senior leadership in aligning field and industry requirements with the product roadmap, collaborating with Product and Product Marketing under their guidance. What you bring 2+ years of experience in a post-sales, customer-facing technical role, such as Solution Architect, Technical Account Manager, or Customer Success Engineer Strong ability to own and drive customer outcomes after the sale, including adoption, renewal, and expansion Solid technical background, with experience designing scalable data architectures, a firm understanding of modern data warehousing and the analytics stack, and SQL proficiency Ability to translate business objectives into technical solutions and measurable outcomes Strong stakeholder management skills across technical and non-technical audiences, and a high degree of comfort presenting to diverse audiences A proactive, self-sufficient, and highly organized approach to managing multiple accounts Comfort operating strategically while also engaging in deep technical discussions Ability to operate in an ambiguous, fast-paced environment and think on your feet in customer conversations A team-player mindset, both within the CSA team as we evolve our ways of working and in daily collaboration with AEs and SEs Openness to travel: we value in-person relationship building, both internally and externally, and expect willingness to travel to events as needed What Will Make You Stand Out Hands-on experience with dbt and/or Fivetran; dbt certification is a bonus SQL knowledge, with a working understanding of AI architecture, including LLMs, Knowledge Graphs, and RAG Experience with cloud data platforms (Snowflake, Databricks, AWS, Azure, GCP) Background in data integration, ETL/ELT, or replication technologies, plus experience with ancillary tools, APIs, and managing data infrastructure Experience with workload-based or consumption-based sales models Familiarity with enterprise architecture frameworks and design patterns Experience working with system integrators or technology partners Technologies You’ll Use Databases: SAP HANA, Oracle, SQL Server, Postgres Data platforms: Snowflake, Databricks, BigQuery, Redshift Products: Fivetran, dbt platform Languages: SQL, Python, bash or PowerShell Networking: SSH tunneling, VPNs, PrivateLink Modern data stack tools and ecosystem technologies Hiring Process Interview with Talent Acquisition Partner Interview with Hiring Manager Technical Interview Team Interview Final Interview: Mock Demo Compensation & Benefits The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 80% base salary and 20% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. OTE (On Target Earning) $155,000 — $175,000 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality. This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization. Responsibilities: Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy. Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers. Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS. Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph. Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement. Qualifications: Required: Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research For M.S. holders: 10+ years of industry experience in applied science or data science roles For Ph.D. holders: 6+ years of industry experience in applied science or data science roles Deep understanding of the ads ecosystem Demonstrated expertise in at least one of the following areas: Measurement & Experimentation at Scale (with focus on lift and attribution) Identity Graph Creation & Resolution Methodology and Infrastructure Predictive Modeling with Signal Loss Advanced proficiency in statistical programming (Python or R) and SQL. Experience with machine learning or optimization techniques Strong understanding of experimental design, causal inference, or A/B testing methodologies Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners Experience working in fast-paced, ambiguous environments with cross-functional teams Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Product Research Location: Remote, US Compensation Range: $200,000 to $230,000 base plus bonus and equity What You’ll Do: The Huntress Product Research team has the unique honor of waking up every morning knowing we’re going to make hackers regret targeting our partners and customers. As a Principal Product Researcher, we’re looking for someone who wants to pour all of their creativity into building and implementing simple solutions that are disproportionately effective at countering these constantly evolving threats. Competitive candidates have experience managing, deploying, and securing SMB environments utilizing a wide variety of security software, best practices, and automation tools. Familiarity with product management, incident response, social engineering, psychology, education, and managed service provider tools is an additional way to differentiate yourself. As you can imagine, success doesn’t happen in a vacuum. An effective Product Researcher fosters highly collaborative environments between the Product, Engineering, and Security teams to accelerate our mission and secure the 99% of businesses that fall below the enterprise poverty line. This collaboration is needed to produce and prioritize a unified technical vision that ultimately delivers our most impactful features and capabilities. We defend over 5M endpoints for 225,000+ mid-sized and small-business customers, and that number continues to grow each month. Given this market’s tighter budget, it’s not financially feasible to assign human analysts to each client. The Security Operations team addresses this challenge head-on by building and scaling highly automated efficiencies—often lightly augmented by our SOC — that make intruders earn every inch of their access while maintaining affordability and healthy gross margins. Roles and Responsibilities: Identify innovative ways to detect Windows OS threats Develop cross-platform features that leverage telemetry from common OS subsystems such as file system, memory, process, and network activity Research and development of sensor capabilities to provide visibility and detection support for attack techniques across supported Windows OS versions Work collaboratively with internal engineering and detection teams to implement detection logic Identify and evaluate new telemetry opportunities Identify and address gaps in product coverage Respond to product escalations Perform False Positive and False Negative investigations Lead product research initiatives to develop and evaluate security product strategies and technologies Coordinate with Product and Engineering teams to integrate and operationalize solutions developed by Threat Operations teams Applies AI as a practical part of day-to-day product research work to improve the speed, quality, and impact of research outputs Uses AI to support information gathering, analysis, prototyping, and production of clear, decision-useful work products while maintaining accountability for the final output Builds and reuses lightweight prompts, templates, or workflows for recurring research tasks rather than relying on one-off use Develop internal and external technical documentation to educate customers and communicate research findings to adjacent teams about security risks and opportunities Mentor and teach technical expertise to advance the broader community Promote Huntress’ reputation through media interaction, public speaking, CFPs, CTFs, and blogs Qualifications: Expert in Windows OS internals, components, APIs, and design Prior experience with Windows OS kernel coding and device drivers Experience testing EDRs, bypasses, and evasion techniques Comfortable with reverse engineering and using debuggers Proficiency in multiple programming/scripting languages, such as C/C++/C#, PowerShell, and Python Applies AI to improve research quality, speed, and outputs in day-to-day work Commitment to clear documentation of research findings Experience with MITRE ATT&CK matrix, SIGMA, Yara, and Elasticsearch/Kibana What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Massachusetts, New York, New Jersey, Georgia, North Carolina, Washington DC At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate  innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary The Solutions Consultant at Reltio plays a pivotal role in the sales process, partnering with Account Executives to understand prospective customers' business challenges and to articulate the value of Reltio's cutting-edge data unification and AI-driven solutions. This individual will be responsible for developing and delivering compelling presentations and demonstrations, designing tailored solution architectures, and acting as a trusted technical advisor to prospects. The ideal candidate is passionate about data, possesses strong communication and presentation skills, and thrives in a fast-paced, innovative environment. Key Responsibilities: Collaborate with the sales team to identify and qualify sales opportunities, understanding customer needs and business objectives related to data unification and AI. Develop and deliver engaging, customized product demonstrations and presentations that effectively showcase Reltio's value proposition. Design and propose high-level solution architectures that address specific customer requirements and integrate with their existing technology landscape. Develop and deliver highly customized, compelling product demonstrations and proof-of-concept (POC) engagements that showcase differentiated value. Respond to technical questions and objections from prospective & existing customers, providing clear and concise explanations. Lead and manage technical aspects of Request for Proposals (RFPs) and Request for Information (RFIs). Build and maintain strong relationships with technical stakeholders and decision-makers within prospect/customer organizations. Stay current with industry trends, competitive landscape, and Reltio's product advancements in data unification and AI. Provide feedback from the field to Product Management and Engineering teams to contribute to product enhancement and innovation. Assist in the creation of sales tools, best practices, and re-usable assets for the pre-sales organization. Support marketing events, including trade shows and webinars, by delivering presentations and demonstrations. Requirements Required Experience/Skills/Education/Abilities: Minimum 3 years of experience in pre-sales, solutions consulting, or a similar customer-facing technical role within the enterprise software industry. Demonstrable understanding of enterprise data challenges, data integration concepts, and the value of data unification. Proven ability to articulate complex technical concepts to both technical and non-technical audiences. Excellent presentation, communication (written and verbal), and interpersonal skills. Strong problem-solving skills and the ability to think strategically and analytically. Experience with enterprise software sales cycles and methodologies. Bachelor's degree in Computer Science, Information Technology, Engineering, Business, or a related field. Ability to travel to customer locations as needed. Desired Experience/Skills/Education/Abilities: Experience with SaaS solutions, cloud architectures, and data platforms. Familiarity with AI/ML concepts and their application in data management or business intelligence. Hands-on experience with AWS, Google Cloud Platform (GCP), or Microsoft Azure. Knowledge of specific industry verticals (e.g., Life Sciences, Healthcare, Financial Services, CPG/Retail) Experience with data modeling, ETL processes, or API integrations. At Reltio, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. Overall Market Range $184,000 — $248,000 USD Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Location: Montreal Workplace: remote ABOUT YOU  We are looking for a Site Reliability Engineer (Monetization) who is pragmatic, product-minded, and equally comfortable writing code and running production systems to join our Infrastructure department's SRE team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to own the application-level infrastructure and reliability of a high-traffic commerce domain end to end - from deploy pipelines and Kubernetes manifests to SLOs, capacity planning, and production readiness. Strong Kubernetes, observability, and software engineering skills are essential, along with experience in operating production services in a cloud environment (GCP/GKE or comparable) and partnering closely with product development teams. The ability to hold a dual perspective - understanding both how developers ship features and what infrastructure needs to stay reliable - and to bring the reliability lens into design decisions early will be key to your success in this role. This is a hybrid embedded role: you remain part of the SRE organization (practices, standards, duty rotation) while being functionally embedded into the Monetization product domain. You'll build long-term working relationships with the domain's engineering teams, own a meaningful share of their application infrastructure execution, and co-author the reliability practices used company-wide. If you're passionate about making complex distributed systems boringly reliable and love building the commerce and monetization backbone that lets game developers around the world get paid, we would love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Own the application-level infrastructure of the Monetization domain: Helm charts, Terraform configurations, Kubernetes deployments, runtime configuration, and service-level networking and integrations Own the domain's observability: design and implement SLOs/SLIs, monitors, alerts, and dashboards for critical services on Datadog and OpenTelemetry-based tooling Help to set up and evolve CI/CD pipelines for domain services (GitLab CI, GitHub Actions), including deploy and rollback automation Perform capacity planning and performance tuning ahead of expected load - product launches, sales events, and regional rollouts - including load testing and performance regression investigation Run Production Readiness Reviews for new services and major changes; define and enforce what "production-ready" means for the domain Support domain incident response: assist with deep investigation of complex incidents, contribute to post-mortems, drive follow-up reliability improvements, and maintain runbooks Build domain-specific automation that reduces operational toil: runbook automation, deploy helpers, recurring operational scripts Maintain and drive a forward-looking reliability roadmap for the domain together with product engineering leads Participate in product team planning, refinements, and architecture reviews, bringing the reliability perspective before design decisions become expensive to change Co-author company-wide SLO/SLI, capacity, and operational standards together with the broader SRE team; contribute improvements directly to shared SRE-operated subsystems Participate in the SRE duty rotation, supporting developers across the company Qualifications & Skills 3+ years of proven SRE, DevOps, or platform engineering experience: on-call or incident response duty, SLO/monitoring ownership, deploy pipeline and infrastructure work for production services Software development background: you have built and shipped backend services, not only operated them - comfortable reading application code during an investigation and writing production-quality automation in at least one language (e.g., Go, PHP) Hands-on Kubernetes experience: Helm, manifests, deploy strategies, debugging application-level performance and networking issues (GKE or another managed Kubernetes) Solid observability practice: building monitors, dashboards, and SLOs/SLIs on a modern platform (Datadog preferred; Prometheus/Grafana experience also relevant), familiarity with OpenTelemetry Infrastructure as Code exposure (Terraform/Terragrunt) for collaboration with platform teams GCP experience (IAM, networking, managed services) Experience building and maintaining CI/CD pipelines (GitLab CI and/or GitHub Actions) Programming/scripting proficiency sufficient to build automation and tooling (e.g., Python, Go, or Bash) Practical experience with incident response, post-mortems, and driving reliability improvements from incidents Strong collaboration and communication skills — this role works embedded with product development teams daily Experience in payments, fintech, e-commerce, or gaming — high-traffic transactional systems Nice to Have: Kubernetes certifications Google Cloud Platform certifications HashiCorp certifications Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration For the Site Reliability Engineer (Monetization) position, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Handling infrastructure that processes sensitive financial transactions Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com. Salary varies depending on experience level and location.

Location: Bulgaria; Croatia; Cyprus; Estonia; Finland; Greece; Hungary; Ireland; Latvia; Lithuania; Malta; Moldova; Montenegro; North Macedonia; Poland; Romania; Slovakia; Slovenia; Sweden; Ukraine Why the Kubernetes Automation Domain? Kubernetes Automation is Cast AI's core: a family of product teams that turns optimization into real infrastructure. Together, they own the full loop — deciding which nodes to run and where, provisioning them across EKS, GKE, AKS, and our own Cast AI Anywhere, optimizing the workloads on top, and reshaping it all continuously as conditions change. No manual tuning: automation makes the call and makes it happen. The scale is the point. When demand spikes, the platform brings up 15,000 nodes in a single cluster and gets every pod scheduled in under 45 minutes — and tears a cluster of that size back down in under 15 minutes — across multiple clouds at once, mixing instance types and spot capacity in a single operation. Across a fleet of thousands of customer clusters, our teams make the same high-stakes Kubernetes decisions — add this node, drain that one, move that workload, is this change safe — thousands of times a day, and each one has to land cleanly. The problems sit at the intersection of Kubernetes internals and cloud-provider behavior, and much of the territory is undocumented. One team might be writing scaling algorithms, another reverse-engineering managed control planes, another migrating running containers between nodes without disruption. The common thread: deep Kubernetes knowledge, strong infrastructure fundamentals, and the judgment to own high-stakes automation in production. If you have that, you can lead any of these teams — you'll be matched with the team that best fits your strengths and interests during the hiring process. Role overview We are looking for a hands-on Engineering Manager to join one of our Kubernetes Automation teams. It is a hybrid role: you will manage a team and spend at least half your time in the product code. Responsibilities as an Engineering Manager You own product development execution. Lead, mentor, and grow a team of talented software engineers Collaborate closely with the Product Owner and stakeholders to align on requirements and roadmaps Ensure quality, scalability, and resilience in all deliverables Foster a culture of continuous improvement, innovation, and technical excellence Be the role model and champion of Cast AI core values Responsibilities as a Software Engineer You will work in a highly skilled team across the full development lifecycle. Take on scaling challenges at fleet level Participate in feature brainstorming, requirement gathering, and solving customer needs Design and architect software for scalability, maintainability, and performance Write clean, maintainable, documented code using best practices Ensure reliability through test coverage and local testing Contribute to CI/CD pipelines and the monitoring and alerting stack Respond to incidents to resolve customer issues or service disruptions Support the team's code (on-call week every few months) Requirements Proven experience managing and leading a technical team Strong software engineering skills Strong verbal and written communication skills In-depth knowledge of Kubernetes and experience managing multi-cloud environments (AWS, GCP, Azure) Knowledge of cloud-native infrastructure, APIs, and cloud-provider-specific implementation differences Hands-on experience with IaC tools such as Terraform Proficient in designing and managing CI/CD pipelines (GitLab CI, ArgoCD) with a GitOps approach Strong analytical, problem-solving, and troubleshooting skills What's in it for you? Competitive salary (up to €10,000 gross, depending on the level of experience) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don't. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity, we hire from: Bulgaria, Croatia, Cyprus; Estonia, Finland, Greece, Hungary, Ireland, Latvia, Lithuania, Malta, Moldova, Montenegro, North Macedonia, Poland, Romania, Slovakia, Slovenia, Sweden and Ukraine. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit.

About the Role You will design, implement, and evolve the Taproot Assets Protocol, working on mission critical peer-to-peer cryptocurrency daemons written in Go. You'll collaborate with the wider team on researching and designing future iterations of the protocol, participate in issue triage and code review of open source contributions, and communicate with the broader community and industry about the software and technology you build. Requirements — Strong engineering background with solid programming skills — Experience in Go desired, C or C++ relevant as well — Thorough understanding of the principles of distributed systems and peer-to-peer networking — Solid engineering practices and processes, such as testing methodology and documentation — Experience with Bitcoin, cryptography, and/or financial software — Prior contributions to crypto protocols and open source software collaboration preferred — Quick learner, geared towards implementation — Eager to develop new skills and willing to take ownership of projects Responsibilities — Design and implement core Taproot Assets Protocol (TAP) features and algorithms — Contribute to mission critical peer-to-peer cryptocurrency daemons written in Go — Collaborate with the team on research and design of future iterations of the Taproot Assets Protocol — Participate in issue triage and code review of open source contributions — Communicate with the wider community and industry about the software and technology

Location: Ukraine; Romania; Georgia; Bulgaria; Serbia; Indonesia; Germany; Kazakhstan; Spain; Armenia; Portugal; Philippines; Poland Workplace: Remote About the company Turning marketing into a market-domination weapon, we created a new category — the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy — full transparency, control, and predictable outcomes. We're the #1 lead marketplace in the USA, and we're accelerating. Role overview We're looking for a Funnel Strategist to own the top of our acquisition engine. You build, test, and optimize funnels that turn cold traffic into qualified leads and booked calls — not maintain a handful of landing pages. Our growth is not limited by ad budget; it's limited by how fast we can ship new funnels, hooks, offers, and angles. Your job is to remove that ceiling. We're about to significantly scale paid spend. Every funnel you ship either compounds that spend into revenue or exposes where it leaks — no in-between. Requirements: 3+ years building high-converting funnels and landing pages in a direct-response environment, with real revenue attached to your work. Deep understanding of direct-response marketing and conversion psychology — you can name why a page converts, not just that it does. Hands-on with funnel builders like ClickFunnels, GoHighLevel, Webflow, or equivalent — you build, you don't brief. Working knowledge of Meta Ads, Google Ads, and core funnel metrics (CPL, CPA, CVR, CAC, ROAS) — you optimize with traffic teams, not around them. Shipped and analyzed A/B tests where the result actually changed the next decision. Strong copywriting for landing pages, lead magnets, and hooks — sharp, benefit-driven, no fluff. English C1+; our market is US-based and every headline, hook, and CTA must land with American buyers. AI-first by default — if you are not using AI to 3x your funnel, copy, and asset output, you will be behind. High ownership and strong decision-making in ambiguous, fast-moving environments. What You'll Be Doing: Build complete funnels from scratch — opt-in pages, lead magnet flows, webinar/VSL funnels, call-booking funnels, and follow-up sequences — end-to-end, not in pieces. Create and test new marketing angles, hooks, and offers on a continuous cadence, not in quarterly batches. Develop lead magnets that convert cold traffic into qualified leads the sales team actually wants to call. Build funnels that consistently generate booked calls for sales, and own the number — not just the pages. Reverse-engineer competitor funnels weekly, identify what's working, and ship an improved version before the trend cools. Adapt proven funnel concepts from adjacent industries into our market instead of reinventing from zero. Launch experiments fast, analyze performance with the traffic team, kill weak ideas without ego, and scale winners aggressively. Pair tightly with paid media, sales, and design — no over-the-wall handoffs; you stay in until the funnel is live and measured. Track CPL, CVR, show rate, and booked-call rate per funnel and know which lever to pull before it becomes a problem. This is not for you if You maintain a few landing pages and call it a funnel strategy. You need a brief, a designer, and a developer before you can ship anything. You've never watched your own funnel burn ad spend in real time and had to fix it same-day. You call yourself a "growth strategist" but have never built a page yourself. You want to A/B test button colors instead of offers, hooks, and mechanisms. You want the winning angle handed to you — finding it is the job. What we expect from you (first 3 months) We don't do long onboarding: access on day one, context in days, a live funnel in week one. End of week 1: you have audited every live funnel, mapped current CPL and booked-call economics end-to-end, and identified the top 5 leaks with evidence. End of month 1: you have shipped your first new funnel from scratch, launched at least 3 angle/hook/offer tests against the current control, and killed or scaled based on results. End of quarter 1 (the bar): at least one new funnel is beating the control and running on scaled paid spend, a competitor-informed funnel is live, and the concept-to-live-funnel turnaround is established at under 7 days. Nice to Have: Experience in lead generation, marketplace, real estate, coaching, or high-ticket B2C/B2B funnels. Track record scaling paid spend profitably alongside a media buyer, not just optimizing organic. Experience with VSLs, webinars, and long-form direct-response mechanisms. Familiarity with AI-driven copy, page generation, and creative iteration workflows. Design sensibility strong enough to ship a clean page without waiting on a designer. What We Offer: Impact: Own the funnel layer of a product-led, AI-powered marketplace where your work directly compounds paid spend into revenue. Autonomy: High ownership, low bureaucracy, and real authority over funnel direction and testing roadmap. Flexibility: Remote — CIS & Europe preferred; Philippines and Indonesia welcome. Flexible hours, async-friendly. Compensation: Competitive fixed base salary above the market average. Team: Join a smart, passionate team that moves fast, supports each other, and builds cool stuff. Time Off: 15 paid vacation days plus 5 paid sick days annually. Growth: Unlimited learning policy — paid courses, books, and growth resources. AI-Heavy Environment: AI is deeply embedded across prospecting, research, and workflows. Ownership: Real decision-making power and direct ownership of your outcomes. Remote — CIS & Europe preferred; Philippines and Indonesia welcome.

Location: Remote UK At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are seeking a highly motivated and analytical individual to join our Growth Analytics International team. This team plays a crucial role in conducting research, monitoring performance, and running experiments to develop exceptional products for both consumers and merchants while driving long-term growth for the business. As Affirm continues expanding into new international markets, this role will be instrumental in establishing the operational analytics framework for new launches, beginning with Australia and expanding into future international markets. The ideal candidate will possess strong analytical and problem-solving abilities, a collaborative mindset, an eagerness to learn, and the patience to tackle complex challenges. Our team takes an end-to-end business analytics perspective, partnering across the organization to develop recommendations and solutions that enable the business to successfully execute its growth and profitability strategies. This role requires someone who can combine analytical rigor with business acumen to influence decisions and drive measurable outcomes. What you’ll do Establish and evolve the operational analytics framework for new international markets, ensuring scalable measurement, reporting, and decision-making capabilities as we expand globally. Operate with a business owner mindset by proactively identifying opportunities through analysis and product sense to enhance user experience, growth, and profitability. Own business problems from end to end by translating analytical insights into recommendations and optimization strategies that support business growth, profitability, and operational excellence. Take ownership of the end-to-end analytics process: define success metrics, generate insights and hypotheses, track performance, and create intuitive dashboards and reports that can be easily shared across the organization. Develop scalable analytics solutions and data models. Tackle ambiguous problems by identifying the core hypotheses and designing actionable experiments to validate product-market fit and economic viability. Translate analytical findings into clear and compelling narratives and business cases for leadership to inform decision-making. Spearhead weekly cross-functional metric reviews, collaborating with partners to conduct deep dives into significant metric shifts and suggest actionable steps. Partner effectively across Product, Risk, Finance, Commercial, and Operations to align strategies and execute against business objectives. Foster strong cross-functional relationships and establish yourself as a trusted advisor to team members. Mentor and guide junior analysts to deliver high-impact work that drives business results. What we look for: Passion to redefine the lending and financial industry for the better. Strong understanding of the consumer lending and credit industry, including lending economics, portfolio performance, and credit metrics. Experience supporting international lending markets, particularly Europe and/or APAC, is highly desirable. Demonstrated ability to balance growth objectives with profitability and develop data-driven growth strategies. Bachelor's or Master's degree in a quantitatively rigorous subject area such as statistics, mathematics, finance, or economics. 5+ years of proven success in a cross-functional analytical role. Practical and theoretical knowledge of A/B testing. Experience with SQL and performing statistical analysis using Python. Experience simultaneously balancing multiple workstreams and prioritizing an analytics roadmap. Demonstrated curiosity and a growth mindset, with hands-on experience using AI-powered tools such as Cursor, Claude, or similar assistants to accelerate analysis, automate workflows, enhance problem-solving, and advocate for AI adoption across analytical workflows. Strong interpersonal and communication skills, with the ability to influence both technical and non-technical audiences. Comfortable partnering across multiple cross-functional teams, particularly Product, Risk, Commercial, Finance, and Operations. Ability to think creatively and critically while thriving in a fast-paced, dynamic, and often ambiguous work environment. Willingness to go out of your way to help teammates, with humility and a team-first mindset. Previous experience mentoring and guiding junior analysts. Compensation & Benefits Pay Grade - M Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). GBR base pay range per year: £113,000 - £161,000 Location - Remote UK #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Berlin Office; Poland; Germany; Ireland; United Kingdom; Spain Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. RESPONSIBILITIES - Build n8n's Deal Desk function from scratch, AI- and automation-first: intake, approval workflow, and pricing guardrails. - Advise Sales on deal structure and pricing to protect margin without slowing down the sales cycle. - Maintain a simple set of discount and pricing rules that Sales can apply on their own, without escalating every deal. - Run a monthly and quarterly deal war room to keep deal velocity high, especially around month-end and quarter-end close. - Handle contract redlines and non-standard terms directly, keeping most negotiations out of Legal's hands. - Build a redline clause library of accepted and rejected language, so AI can suggest fallback terms on routine deals. - Automate approvals and quoting in CPQ, and use AI to triage incoming requests and flag which deal changes actually need re-approval. - Own Salesforce data quality and executed-contract hygiene for every deal. - Support Customer Success on non-standard renewal and expansion structuring. - Coordinate security and compliance requests (DPA, SOC 2, security addenda) between Sales, Security, and Legal. - Report monthly on deal desk performance: cycle time, discounting, and exceptions. REQUIREMENTS MUST-HAVES - 📈 Deal desk knowledge: You have in-depth experience developing and operating a deal desk function, not just executing a process someone else fully designed. - 📐 SaaS commercial fluency: You have a strong understanding of SaaS pricing models, revenue recognition and ARR reporting principles, and enterprise contract structures. - ⚖️ Contract negotiation and redlining: You can negotiate and redline order-form-level terms directly with a customer and know when to involve Legal. - 🛠️ CPQ/ Salesforce hands-on: You've configured and operated both a CPQ and Salesforce yourself, not just used what someone else set up. - 🤖 AI-native working style: You default to AI and automation in your own work, with concrete examples of deal or approval workflows you've automated. - 🤝 Stakeholder management: You have outstanding communication skills and can influence and manage complex stakeholders such as Sales, Legal, RevOps, and Finance. NICE-TO-HAVES - 🏗️ 0-to-1 builder: You've spun up a deal desk or similar function from the ground up, defining the underlying processes and policies yourself. - 🔧 Modern CPQ/billing exposure: You've worked with Salesforce CPQ or modern platforms like Hyperline or Solvimon. - 🧩 Product curiosity: You're curious about n8n and ideally have already successfully built a workflow. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.