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Location: United Kingdom; Spain; Bulgaria; Hungary; Poland; Portugal TheSoul Group is a leading creator business platform positioned at the heart of the creator economy. Our original videos, animations, and editorial stories inspire audiences in 21 languages , across 60 platforms and 20 websites . Together with our network of talented creators , we reach over 5 billion followers and generate more than 100 billion monthly views on social media. As a global powerhouse in digital media, we drive viral success for creators and brands worldwide through a wide range of services, leveraging our expertise in content distribution, localization, and social media management. We’re the creators behind global phenomena such as 5-Minute Crafts and BrightSide . We’re a dynamic, remote-first global team, fostering award-winning creativity, a no-red-tape approach, and great vibes! We are looking for a Senior Social Media Strategist to own the social and audience strategy behind the YouTube channel of a globally recognized beauty brand. In this role, you will define the strategic direction for a high-growth, high-volume global YouTube channel with a Shorts-first approach. You will identify the audience behaviors that drive discovery, subscription, and purchase, translate cultural and trend signals into repeatable content direction, and shape the content calendar around key product launches, activations, and brand moments. You will own the growth strategy behind what the channel publishes, developing clear hypotheses, reviewing performance alongside analytics specialists, and adapting the approach based on what the data shows. You will also shape the creator activation strategy, from briefing and selection criteria to performance evaluation and progression across creator tiers, while identifying how organic content can connect effectively with commerce and paid amplification. Working closely with creative, analytics, community, and account teams, you will ensure that social strategy translates into clear, actionable direction across the wider project. You will also present and defend strategic recommendations to senior client stakeholders across media and marketing. A strong understanding of YouTube, internet culture, creators, and emerging subcultures is essential, together with a proven track record of growing social channels rather than focusing primarily on campaign-led activations. Experience working with large brands in beauty or closely related consumer categories is strongly preferred. Requirements Proven track record of growing social media channels or accounts, with the ability to demonstrate measurable growth and clearly explain the strategies and decisions that drove it. Strong agency-side experience in social media strategy for large brands, with experience in beauty or a closely adjacent consumer category strongly preferred. Deep understanding of YouTube formats, audience behavior, discovery, and creator culture, alongside strong knowledge of other major social platforms. Demonstrable ability to assess content strategically and structurally, identifying why specific content performs and translating those insights into repeatable approaches. Strong understanding of internet culture, emerging trends, online communities, creators, and subcultures. Experience developing content and audience strategies for high-volume publishing environments is highly desirable. Experience designing and running creator or influencer activations, ideally across multiple markets, is an advantage. Strong analytical fluency, with the ability to interpret performance data, challenge assumptions, identify inconsistencies, and develop testable hypotheses. Ability to adapt strategic direction based on performance data and confidently scale, refine, or discontinue approaches based on evidence. Strong stakeholder management and presentation skills, with the confidence to present and defend strategic recommendations to senior client audiences. Understanding of social commerce or affiliate mechanics is a plus. Familiarity with paid social planning and the relationship between organic performance and paid amplification is a plus, but not essential. Native-level or professional working proficiency in English. Benefits Flexible Engagement Structure: This opportunity is offered under an independent service-provider agreement, giving you the freedom to shape how you deliver your expertise. You define your own working methods, organise your schedule independently, and contribute your skills to clearly scoped projects. Compensation is agreed individually and reflects your experience, capabilities, and the value you bring to each engagement. Location Freedom: You can deliver services from any suitable location that supports high-quality outcomes, whether that’s your home office, a co-working space, or wherever you feel most productive and inspired. What matters most is the impact you create and the reliability of your delivery. Global Network and Inspiring Projects: You’ll collaborate with a diverse international network of professionals across 85+ countries, contributing to projects that reach vast audiences and help shape the future of digital content. This is an opportunity to work alongside talented specialists, exchange ideas, and be part of meaningful initiatives with real global reach. Smooth Collaboration and Project Support: To enable efficient service delivery, we provide modern collaboration platforms, clear project coordination, and streamlined processes. This helps you focus your energy where it matters most, producing high-impact work and bringing creative solutions to life. Make a Global Impact: Your expertise will contribute to initiatives that influence audiences worldwide. Join projects that push creative boundaries and help build the next generation of digital experiences.

Location: North America, EU, UK AI Security Researcher / Research Engineer Remote or hybrid - London preferred but North America, EU, UK accepted About Brave: Brave is on a mission to protect the human right to privacy online. We’ve built a free web browser that blocks creepy ads and trackers by default, a private search engine with a truly independent index, private AI assistant, latest privacy and security features, and a private ad network (opt-in!) that directly rewards you for your attention. Already over 120 million people regularly use Brave for a faster, more private web. Millions more switch every month. The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what’s true and what’s not. Brave is fighting back. Join us! Summary We are looking for a researcher/research engineer to help mitigate the security risks that come with building AI systems-especially LLM-powered web agents and chatbots. In this role, you'll design and implement secure-by-design architectures, audit our LLM-powered web agent (https://brave.com/blog/ai-browsing/) and chatbot, and help set Brave's direction on how we identify, measure, and reduce security risk across AI products. Responsibilities Design and execute adversarial evaluations to uncover failure modes in LLM-powered web agents and chatbots (e.g., prompt injection, tool abuse, data exfiltration) Analyze model behavior (including internal thoughts) to understand and forecast security risks in frontier models Develop and prototype security-focused training and fine-tuning techniques Augment web agents with security principles including information flow control, privilege control and contextual security Partner with engineers and (privacy, ML, and Cryptographic) researchers to translate findings into product changes, tests, and measurable security improvements Help define a forward-looking security strategy and policy for building and responsibly releasing web agents—advocating for user protection You may be a good fit if you have Demonstrated experience working on Secure AI (prompt injection attacks and security guardrails) Strong publication record in AI security, ML security, or closely related areas A track record of shipping products and features inside a fast-moving environment Strong coding skills in Python and familiarity with ML frameworks like PyTorch or JAX Experience training, fine-tuning, and evaluating large language models Deep familiarity with large language models and web agents, how they work, and how they are trained Experience applying security principles (e.g., information flow control, access control/least privilege) Demonstrated success in bringing clarity and ownership to ambiguous technical problems A Ph.D. in computer science is highly preferred, but we may consider some exceptions with industry experience Skills That Will Set You Apart from the Competition Knowledge of AI Systems (pipelines, security evaluation, etc.) Open source projects on security/privacy Experience with confidential computing and ZKP/SMPC protocols Ph.D. in computer science from a top-tier school A strong publication record in premier systems, performance, or ML Work experience in industry is desirable Working at Brave - What we offer Ability to work at an exciting and well-funded international startup headquartered in San Francisco Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions Competitive compensation and plenty of room for personal growth Great international exposure and team atmosphere We are looking to hire in London but would consider an exceptional candidate in the rest of Europe. NO AGENCIES or RECRUITERS PLEASE - Unfortunately, we cannot work with third parties on these searches.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced Revenue Systems Engineering Director to join our Finance Systems team at Anthropic. You will own the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as we scale globally. You'll serve as the technical lead for our revenue systems within the ERP ecosystem, driving automation of revenue recognition processes and integrating our billing, sales, and financial systems. Responsibilities Revenue Platform Architecture & Development Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models Data Engineering & Pipeline Orchestration Modify, enhance, and optimize data transformation models using DBT/SQL to support standardized data flows across accounting, billing engineering, and product teams Establish comprehensive testing frameworks for data transformations, formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements Systems Integration & Technical Leadership Collaborate with Revenue Accounting, Data Infrastructure, and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth Implement automated reconciliation engines achieving rapid variance detection and substantially reducing manual revenue team effort Provide technical expertise during month-end close processes, ensuring system reliability and performance during peak transaction volumes Innovation & Continuous Improvement Pioneer AI integration for revenue operations, building intelligent agents for discrepancy investigation, automated testing, and self-service analytics Evaluate and implement emerging technologies to modernize integration architecture Establish best practices with CI/CD pipelines, automated testing, and deployment workflows maintaining high reliability standards Mentor team members on technical best practices, code reviews, and documentation standards Minimum qualifications Possess strong technical proficiency in Python, SQL, DBT, and modern data engineering tools (workflow orchestration, infrastructure as code, cloud data warehouses) Have extensive experience with enterprise billing platforms and revenue recognition requirements (ASC 606) Demonstrate expert-level understanding of ERP systems with hands-on configuration and integration experience, including proficiency with API development (REST, SOAP/XML, webhooks) and understanding of ERP extension patterns and custom object development Experience with additional programming languages (Java, JavaScript/TypeScript, Go) for building integrations, APIs, and custom ERP extensions Track record of leading technical workstreams during ERP transformations or major system migrations Are skilled at designing scalable integration architectures, including both real-time APIs and batch processing patterns for high-volume financial transactions Have proven ability to translate complex business requirements into robust technical solutions while maintaining alignment with accounting principles and audit standards Understanding of consumption-based pricing models, usage metering platforms, and marketplace billing Thrive in a fast-paced, high-growth environment where you'll balance innovation with operational stability Have excellent communication skills to bridge technical and business stakeholders, including Finance, Accounting, Revenue Operations, and Engineering teams Preferred qualifications Have 12+ years of experience in revenue systems engineering, with deep hands-on expertise in Order-to-Cash (OTC) implementations Experience implementing revenue platforms at scale for SaaS or subscription-based businesses processing high transaction volumes Background in financial systems implementations supporting multi-entity, multi-currency operations with complex revenue recognition scenarios Hands-on experience with CRM/CPQ platforms and integration patterns connecting sales systems to billing and ERP systems Specific experience with: Salesforce CPQ/Revenue Cloud, Zuora, Stripe Billing,, Workday Financials Familiarity with Workday Prism and Oracle Accounting Hub solutions for managing third-party transaction data Technical expertise with iPaaS platforms (MuleSoft, Workato, Boomi) and advanced API patterns (GraphQL, event-driven architectures) Experience leveraging agentic development workflows Experience with AI/LLM integration for financial operations, including document processing, data extraction, and intelligent automation Familiarity with Agile/Scrum methodologies and experience working in matrix organizations coordinating across multiple teams Knowledge of SOX compliance requirements, financial controls, and audit readiness for revenue systems Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related technical field Hands-on experience with modern data stack tools: Airflow, Terraform, BigQuery/Snowflake/Databricks Build and maintain Airflow DAGs orchestrating complex financial workflows, including Python scripts for DBT execution, authenticated API calls, and data quality validation Familiarity with financial reporting and business intelligence tools (Hex, Looker, Tableau, Power BI) for revenue analytics and executive dashboards The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York HQ Workplace: OnSite ABOUT AVOCA Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers. We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office. In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact. ABOUT THE ROLE We’re hiring a GTM Engineer to build the data, systems, and growth infrastructure behind Avoca’s next stage of growth. Our ambition is to build a world-class GTM engine. We’re looking for someone excited to build AI-powered systems that give a small team enormous leverage and have an outsized impact on revenue. You’ll build the engine behind our outbound motion: mapping and enriching our target market, finding the signals that indicate which accounts are most likely to buy, and turning those signals into relevant outreach and timely action for our Sales team. You’ll also build and scale our autonomous outbound email program from the ground up, using AI-powered workflows to run personalized campaigns to thousands of accounts, while maintaining strong sending infrastructure and deliverability. Beyond outbound, you’ll build the data pipelines, integrations, automations, and internal tools that make our Growth and Sales teams more effective. This is a builder-operator role: you’ll put the systems you create into practice, learn from their performance, and keep improving them. We’re looking for someone with the technical ability to build complex systems and the commercial judgment to focus that work on qualified pipeline and revenue. You’ll report directly to the Head of Growth and work closely with Sales and RevOps to turn better data, signals and workflows into pipeline. WHAT YOU’LL DO - Build, run, and scale our autonomous outbound email engine end-to-end: from campaign strategy and execution to sending infrastructure, deliverability, measurement, and optimization — turning it into a major source of qualified pipeline - Build and ship AI agents and GTM workflows for prospect research, account prioritization, personalization, content development and other repeatable work; continuously identify new opportunities to automate and expect to launch new agents regularly - Map and enrich Avoca’s total addressable market, building the reliable account and contact data that powers our campaigns and outbound SDR motion - Identify, test, and activate buying signals that surface the right accounts at the right time and trigger relevant outreach or rep action - Build the integrations, automations, and internal tools that connect our data sources, CRM, enrichment providers, outbound platforms, and Sales workflows - Partner closely with SDRs, Sales, and RevOps to improve targeting, lead routing, rep productivity, and the conversion of signals into pipeline - Evaluate our GTM technology stack and decide what to buy, build or automate WHAT YOU’LL BRING - 3+ years of experience in GTM engineering, growth ops, outbound, or another technical GTM role in a B2B environment - A track record of building and operating large-scale outbound email programs that generated qualified pipeline - Deep knowledge of outbound infrastructure and deliverability, including domain and inbox provisioning, authentication, warm-up, rotation, bounce management, and sender reputation - Demonstrated expertise building AI-powered workflows for research, segmentation, personalization or campaign execution - Hands-on experience building sophisticated workflows in tools such as Clay, Claude Code, n8n, Make, Zapier, Smartlead, or similar platforms - Strong technical foundations and comfort working with APIs, webhooks, data integrations, and conditional logic; working knowledge of SQL, Python, or JavaScript - Experience building, enriching, and maintaining large account and contact datasets using multiple data providers and enrichment waterfalls - Strong commercial judgment and the ability to turn customer, market, and behavioral data into repeatable growth systems that create pipeline WHO YOU ARE - You’re a builder who wants to own both the system and the business outcome - You combine technical depth with commercial instinct and can move comfortably between building AI-powered workflows, campaign strategy, and pipeline review - You’re deeply curious and enjoy uncovering unconventional data, signals, and workflows that create alpha - You move quickly, test pragmatically, and make good decisions without waiting for perfect data or an established playbook - You’re rigorous about the details - You build for the people using your systems and work closely with Growth, Sales, and RevOps to understand what they actually need - You’re high-agency, resourceful, and excited to work in person in NYC with an ambitious team that moves quickly and holds a high bar BONUS POINTS - Experience building signal-based outbound for a mid-market sales motion - Experience supporting or working closely with a scaled SDR organization - Experience in vertical SaaS, home services, or another market with a large, identifiable universe of target businesses - Experience building agentic workflows, AI-powered internal tools, or autonomous GTM systems from scratch   BENEFITS - Comprehensive medical, dental, and vision insurance - Company-sponsored 401(k) through Vestwell - Flexible PTO plus U.S. federal holidays - Company-wide off-sites - Monthly wellness stipend - Daily in-office lunch through Parkday - Dinner covered when working late - Commuter benefits and late-night rideshare - Standing desks and workspace accommodations available on request - All core tools and software provided   Compensation: The expected on target earnings for this role is $160,000-$210,000 with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca’s total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process. WHY AVOCA At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact. Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

Location: Americas; EMEA Workplace: Remote RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile. We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue. We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading. THE ROLE We are looking for a Head of Sales to build and lead the commercial system that converts RevenueCat's market position, product signals, and customer demand into dependable revenue, regardless of that revenue coming in the form of an immediate contract, a self-serve credit-swipe, or long-term expansion. In the ‘app monetization platform’ category, RevenueCat currently has about a 90% marketshare, ranging from the biggest apps in the world (ChatGPT, Ladder, VSCO) to a long tail of 100,000+ indies and startups vying to make it big. We only power roughly 25% of in-app revenue, though: The majority of apps still tries to build this themselves. Your job will be to show them the error of their ways. Not (just) to close a deal, but because we truly, deeply believe we will help them make more money. As the Head of Sales, you’ll lead the AE and Sales Engineering teams, bringing both teams together in a single, well-oiled machine. You’ll set the functional strategy, develop talent, own forecasting and results, and you’ll personally help move important opportunities forward without becoming the required manager or closer on every deal. WHY WE ARE HIRING FOR THIS ROLE NOW We have more opportunities than the current team can consistently identify, prioritize and pursue. Our reputation and market position produce consistent touch points with the majority of potential prospects, without those touch points turning into economic opportunities. At the same time, we’re rapidly expanding into new markets and product areas that need more proactive sales support than we can deliver. We need a leader who can make several motions work together without forcing them into one generic process: - Complex evaluations involving technical, business, security, legal, and procurement stakeholders. - Faster mid-market opportunities that require strong qualification and commercial momentum. - Self-exploration where customer behavior reveals an opportunity before a formal handraise. - Carefully researched outbound engagement with app businesses where RevenueCat has a specific reason to be useful. - Partner-sourced and selected regional motions whose economics must be demonstrated before they are scaled. The foundations exist: Account Executives, Sales Engineers, product and usage data, a respected brand, Growth Marketing, Partnerships, Revenue Operations, Product, Finance, and Customer Growth. This role will turn those ingredients into a successful Sales function. WHAT YOU WILL BE RESPONSIBLE FOR - Own the function. Set goals, metrics, operating cadences, headcount plans, budget, organization design, executive communication, and the performance bar across Sales. - Build a multi-motion Sales system. Define how strategic, mid-market, product-led, outbound, partner, and regional opportunities are identified, qualified, staffed, and advanced, across a growing product portfolio. - Create qualified pipeline beyond inbound. Develop focused account and outbound programs grounded in customer evidence, specific use cases, market events, and product signals rather than undifferentiated prospecting. - Close the coverage gap. Ensure high-potential product usage, sign-ups, inbound requests, support interactions, and target-account signals quickly result in a named owner and an intentional next action. - Build the team. We have good building blocks in place but the team needs to be significantly expanded to take on our current scale. Hire and developer exception talent, and define what makes a great sales team member at RevenueCat. - Remain close to customers. Participate in customer conversations every week and personally lead or support opportunities with unusual economic, technical, or organizational complexity. - Make the forecast useful. Establish definitions and inspection habits that distinguish real, qualified opportunity value from incomplete records, existing usage conversions, renewals, total contract value, or loosely influenced demand. - Help shape pricing and packaging. Bring a clear Sales point of view to cross-functional pricing and packaging decisions, using customer evidence to advocate for structures that support value, adoption, and durable growth. - Get cross-functional collaboration right. Define how Sales works with Customer Growth, Partnerships, Marketing, Finance, Revenue Operations, Product, Engineering, TAM, and Support without creating duplicate account ownership or executive rescue as the default operating model. - Create learning from every deal. Turn repeated discovery patterns, objections, migrations, wins, and losses into better playbooks, reusable assets, Product evidence, and team training. WHAT SUCCESS LOOKS LIKE We help even more apps make even more money, without turning Sales into the standard SaaS “spray and pray” factory WHAT YOU WILL NEED TO BE SUCCESSFUL - 5+ Year of experience leading Sales in a technically complex B2B environment, including responsibility for managers or senior team leads as well as individual contributors. - Success across multiple distinct motions such as strategic enterprise, mid-market, product-led Sales assistance, focused outbound, channel, or regional selling. - Experience creating qualified pipeline rather than depending entirely on inbound demand or a large SDR organization. - Enough product and technical fluency to talk to Engineering about a possible migration without relying on Sales Engineering for every conversation. - Fluency with pipeline inspection, forecasting, conversion data, capacity planning, and performance management. - Evidence of hiring, coaching, developing leaders, raising standards, and making difficult talent decisions. - Strong cross-functional collaboration with Product, Engineering, Marketing, Finance, Operations, Partnerships, and post-sale teams. - A desire to stay personally engaged with customers and live commercial work as the organization grows (and an understanding of why this matters). IDEALLY, YOU - Have worked in a product-led or usage-based business where self-service remains an important customer path. - Understand app infrastructure, payments, monetization, developer platforms, or another domain with meaningful implementation complexity. - Have built a productive Account Executive and Sales Engineering partnership. - Have experience with partner-sourced, international, or regional programs. - Have sold to buying groups spanning engineering, product, growth, finance, security, legal, and procurement. WHAT WE OFFER: - Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator - 10-year window to exercise vested equity options - A fully remote environment designed around autonomy and flexibility - 4-5 weeks of flexible time off annually - Paid desk at a co-working space - Workspace budget and continuous learning stipend INTERVIEWING AT REVENUECAT Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed. MORE ON HOW WE WORK: - How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21 - The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/ - How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/ - What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21 - What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards organization builds the policies, evaluations, and detection and enforcement systems that define and hold the limits on how Claude can be used. In this role, you'll lead our policy design team, managing the teams responsible for radicalization, child safety, user well-being, harmful manipulation, and election integrity, among other harm areas. The team is responsible for understanding and defining the risks that come with engaging with Claude, how those risks materialize in the real world, and the mitigations needed to prevent them. As the manager, you'll work with your team to draw the boundaries between what is and is not allowed, then partner with research, product, and engineering to build the right interventions. Mitigating these harms takes the whole stack: the values and judgment trained into the model itself, the policies and detection systems we enforce on top of it, and the interventions we build into our products. More capable models, new product surfaces, and new user behaviors will keep testing these boundaries, so the team's policies have to keep pace. You'll work closely with product to develop and iterate on the strategy and vision for how our safety layers fit together, and with your team and cross-functional partners to decide which mitigations make the most sense and how to implement them. You'll also coordinate policy decisions across the portfolio: ensuring they're made with the right stakeholders in the room, tracked over time, and applied consistently across harm areas and product surfaces. This is a leadership role for someone who combines expertise in the harm areas themselves with fluency in how frontier models are actually developed and deployed, and who does their best work across team boundaries. You'll spend as much time developing the leads who own each harm area as you will on the policy questions themselves. *Important context for this role: some of the work involves exposure to explicit content, including material of a sexual, violent, or psychologically disturbing nature. Key responsibilities Lead, develop, and grow the managers and teams responsible for the consumer harms portfolio, including child safety, user well-being, harmful manipulation, and election integrity Coordinate policy decisions across the portfolio, and build the mechanisms that keep them tracked, consistent, and legible — so stakeholders know what was decided, why, and who owns what Set the strategy for how mitigations built on top of the model — policies, detection and enforcement systems, and product interventions — complement what is trained into the model itself, partnering closely with the alignment training team that owns Claude's character Prioritize across harm areas competing for the same resources, and make those tradeoffs and their rationale clear to leadership Serve as the escalation point for high-severity and ambiguous consumer harms decisions, including rapid response to emerging risks Partner with engineering, data science, product, legal, and research across the model development cycle so consumer harms considerations are represented from training through launch, on every surface where Claude is deployed Engage external experts, civil society organizations, and regulators, and translate that engagement into stronger policy and enforcement Minimum qualifications Experience leading teams — including managing managers or senior specialists — in AI safety, product policy, or a related field Deep, applied familiarity with consumer harm areas such as child safety, mental health and well-being, manipulation, or election integrity, and good judgment about how these harms differ in mechanism, severity, and mitigation A track record of exceptional cross-team collaboration: building durable working relationships with teams you don't control, and getting to shared decisions where ownership is genuinely distributed Working understanding of how frontier models are developed and deployed — the training and fine-tuning cycle, evaluations, and launch processes — and how different model environments (consumer products, APIs, agentic tools) change both risk and the mitigations available Experience translating policy positions into mechanisms that can be enforced and measured, and communicating the reasoning to technical and non-technical audiences, including executives Sound judgment in ambiguous, high-consequence decisions, and comfort making a call and escalating appropriately on incomplete information Preferred qualifications Subject-matter depth in one or more of the portfolio's harm areas, from academia, clinical practice, civil society, government, or trust & safety work Experience working directly with model training or research teams on model behavior, or shaping the character of a deployed AI system Experience with generative AI safety systems, including LLM-based classification, evaluation, or enforcement pipelines Experience engaging external stakeholders in these domains — child safety organizations, election authorities, mental health experts, or regulators Experience using agentic AI tools to scale a team's analysis and operations The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $330,000 — $395,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. We’re looking for a Platform Engineer to improve the infrastructure, developer tooling, and delivery workflows used by more than 100 engineers. The role combines infrastructure and software development, with an approximate 65/35 split. You’ll work on cloud infrastructure, deployment automation, observability, CI/CD, and internal tooling. The goal is to make development and releases more reliable, efficient, and straightforward. What you’ll do - Improve developer experience and engineering productivity by building tools and workflows that make it easier for engineers to develop, test, and ship software. - Maintain infrastructure automation with Ansible, Terraform, and Terragrunt. - Improve the reliability and performance of our CI/CD workflows. - Find the causes of slow builds, failed pipelines, and flaky tests. - Develop internal tools, improve test infrastructure, and occasionally work on product features. - Improve observability across our infrastructure and delivery workflows using OpenTelemetry, ELK. - Leverage AI to improve engineering workflows by building cloud-based agent tools and helping teams adopt effective practices. Our tech stack AWS, Terraform, Terragrunt, Ansible, Jenkins, Docker, ELK, ClickHouse, MongoDB, PostgreSQL, and Ruby-on-Rails. What we’re looking for - Experience developing and maintaining complex CI/CD workflows. - Software development experience, such as building internal tools, APIs, backend services, or automation. - Experience with AWS or another cloud provider. - Telemetry and monitoring experience (OpenTelemetry, Grafana, Kibana). - Strong Computer Science and System Design fundamentals. - Willingness to learn and use Ruby and/or Go. What we’d be particularly excited about - Experience optimizing CI build times, especially with Jenkins. - Experience with Docker or Kubernetes. - Experience with Ruby, Python, or JavaScript. - Familiarity with build systems such as Webpack or Gradle. You don’t need to know every technology in our stack. We value strong technical fundamentals, curiosity, and the ability to work on different types of engineering problems. Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers   About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide. Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem. Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! GLOBAL TEAMS Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. 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: Lisbon, Portugal Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. We’re looking for a Platform Engineer to improve the infrastructure, developer tooling, and delivery workflows used by more than 100 engineers. The role combines infrastructure and software development, with an approximate 65/35 split. You’ll work on cloud infrastructure, deployment automation, observability, CI/CD, and internal tooling. The goal is to make development and releases more reliable, efficient, and straightforward. What you’ll do - Improve developer experience and engineering productivity by building tools and workflows that make it easier for engineers to develop, test, and ship software. - Maintain infrastructure automation with Ansible, Terraform, and Terragrunt. - Improve the reliability and performance of our CI/CD workflows. - Find the causes of slow builds, failed pipelines, and flaky tests. - Develop internal tools, improve test infrastructure, and occasionally work on product features. - Improve observability across our infrastructure and delivery workflows using OpenTelemetry, ELK. - Leverage AI to improve engineering workflows by building cloud-based agent tools and helping teams adopt effective practices. Our tech stack AWS, Terraform, Terragrunt, Ansible, Jenkins, Docker, ELK, ClickHouse, MongoDB, PostgreSQL, and Ruby-on-Rails. What we’re looking for - Experience developing and maintaining complex CI/CD workflows. - Software development experience, such as building internal tools, APIs, backend services, or automation. - Experience with AWS or another cloud provider. - Telemetry and monitoring experience (OpenTelemetry, Grafana, Kibana). - Strong Computer Science and System Design fundamentals. - Willingness to learn and use Ruby and/or Go. What we’d be particularly excited about - Experience optimizing CI build times, especially with Jenkins. - Experience with Docker or Kubernetes. - Experience with Ruby, Python, or JavaScript. - Familiarity with build systems such as Webpack or Gradle. You don’t need to know every technology in our stack. We value strong technical fundamentals, curiosity, and the ability to work on different types of engineering problems. Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers   About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide. Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem. Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! GLOBAL TEAMS Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. 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: Krakow, Poland Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. We’re looking for a Platform Engineer to improve the infrastructure, developer tooling, and delivery workflows used by more than 100 engineers. The role combines infrastructure and software development, with an approximate 65/35 split. You’ll work on cloud infrastructure, deployment automation, observability, CI/CD, and internal tooling. The goal is to make development and releases more reliable, efficient, and straightforward. What you’ll do - Improve developer experience and engineering productivity by building tools and workflows that make it easier for engineers to develop, test, and ship software. - Maintain infrastructure automation with Ansible, Terraform, and Terragrunt. - Improve the reliability and performance of our CI/CD workflows. - Find the causes of slow builds, failed pipelines, and flaky tests. - Develop internal tools, improve test infrastructure, and occasionally work on product features. - Improve observability across our infrastructure and delivery workflows using OpenTelemetry, ELK. - Leverage AI to improve engineering workflows by building cloud-based agent tools and helping teams adopt effective practices. Our tech stack AWS, Terraform, Terragrunt, Ansible, Jenkins, Docker, ELK, ClickHouse, MongoDB, PostgreSQL, and Ruby-on-Rails. What we’re looking for - Experience developing and maintaining complex CI/CD workflows. - Software development experience, such as building internal tools, APIs, backend services, or automation. - Experience with AWS or another cloud provider. - Telemetry and monitoring experience (OpenTelemetry, Grafana, Kibana). - Strong Computer Science and System Design fundamentals. - Willingness to learn and use Ruby and/or Go. What we’d be particularly excited about - Experience optimizing CI build times, especially with Jenkins. - Experience with Docker or Kubernetes. - Experience with Ruby, Python, or JavaScript. - Familiarity with build systems such as Webpack or Gradle. You don’t need to know every technology in our stack. We value strong technical fundamentals, curiosity, and the ability to work on different types of engineering problems. Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers   About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide. Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem. Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! GLOBAL TEAMS Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. 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: Warsaw, Poland Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. We’re looking for a Platform Engineer to improve the infrastructure, developer tooling, and delivery workflows used by more than 100 engineers. The role combines infrastructure and software development, with an approximate 65/35 split. You’ll work on cloud infrastructure, deployment automation, observability, CI/CD, and internal tooling. The goal is to make development and releases more reliable, efficient, and straightforward. What you’ll do - Improve developer experience and engineering productivity by building tools and workflows that make it easier for engineers to develop, test, and ship software. - Maintain infrastructure automation with Ansible, Terraform, and Terragrunt. - Improve the reliability and performance of our CI/CD workflows. - Find the causes of slow builds, failed pipelines, and flaky tests. - Develop internal tools, improve test infrastructure, and occasionally work on product features. - Improve observability across our infrastructure and delivery workflows using OpenTelemetry, ELK. - Leverage AI to improve engineering workflows by building cloud-based agent tools and helping teams adopt effective practices. Our tech stack AWS, Terraform, Terragrunt, Ansible, Jenkins, Docker, ELK, ClickHouse, MongoDB, PostgreSQL, and Ruby-on-Rails. What we’re looking for - Experience developing and maintaining complex CI/CD workflows. - Software development experience, such as building internal tools, APIs, backend services, or automation. - Experience with AWS or another cloud provider. - Telemetry and monitoring experience (OpenTelemetry, Grafana, Kibana). - Strong Computer Science and System Design fundamentals. - Willingness to learn and use Ruby and/or Go. What we’d be particularly excited about - Experience optimizing CI build times, especially with Jenkins. - Experience with Docker or Kubernetes. - Experience with Ruby, Python, or JavaScript. - Familiarity with build systems such as Webpack or Gradle. You don’t need to know every technology in our stack. We value strong technical fundamentals, curiosity, and the ability to work on different types of engineering problems. Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers   About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide. Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem. Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! GLOBAL TEAMS Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. 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: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis is seeking a Project Attorney to support to the U.S. International Development Finance Corporation's (DFC) Office of the General Counsel (OGC). This position will advise on the legal and policy aspects of DFC's equity investment program. Responsibilities Structure, diligence, negotiate and document complex, multi-million-dollar international debt and/or equity transactions, with a focus on large energy and infrastructure projects in the power, critical minerals, telecommunications, oil and gas, transport, and manufacturing and service industries. Advise on a range of possible transaction structures, including combinations of equity and debt (convertible or non-convertible) and other equity and quasi-equity instruments (e.g., warrants). For debt transactions: limited recourse project financings, structured and corporate financings, guarantees, security arrangements, and engineering and procurement agreements. For equity and investment funds transactions: the use of direct equity, formation of investment funds or alternative or novel investment and co-investment structures, joint ventures, framework agreements and/or specialized compacts or offtake arrangements with sovereign and non-sovereign actors. Serve as "first chair" in negotiations with borrowers, sponsors, investees, co-investors, general partners, multilateral development banks, development finance institutions, export credit agencies, and commercial lenders. Manage disbursements, subscriptions and/or capital calls as applicable, and monitor and restructure existing transactions across the globe. Analyze foreign and international law issues, advise on corporate matters and issues relating to collateral, intercreditor arrangements, shareholder rights, jurisdiction, dispute resolution and DFC policy matters. Performs other related duties as assigned. Qualifications A graduate of an accredited law school with an LL.B. or J.D. A current member of a bar with a valid license to practice law in a state, territory of the United States, District of Columbia, or Commonwealth of Puerto Rico. At least five years of full-time professional legal experience gained after being admitted to the bar. The minimum five-year work experience requirement includes at least four years of specialized experience that is directly related to the position being filled. At least two of the four years of specialized experience must be at a level of difficulty and responsibility equivalent to that of an attorney at the GS-14 level. Experience advising on legal and policy matters in the areas of investments in direct equity and/or private equity funds in the context of negotiating and documenting transactions for projects in emerging markets, whether directly or through the supervision of outside counsel. Must be a U.S. Citizen and must have the ability obtain and maintain a Public Trust or Secret Security clearance, as applicable. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $150,000 — $190,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we're helping customers break free from the restrictive, overpriced legacy solutions that hold them back and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $125M in revenue and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. Role Overview Backblaze is seeking a Director, Enterprise Systems & Architecture  to own the technical vision, architecture, and operations of the company’s enterprise systems and emerging AI use cases. This is a senior leadership role with organization-wide scope — spanning commercial and financial systems, GTM technology, data architecture, and the deployment and governance of AI agents across the business. This leader will serve as the company’s architectural authority for enterprise platforms including Salesforce, NetSuite, Zendesk, Snowflake, and their surrounding integration ecosystem. Equally important, they will support the governed infrastructure layer that enables AI agents, automated workflows, and headless capabilities to operate safely at a public company. They will partner closely with the CRO, CISO, and CFO organizations to enable velocity while ensuring systems are compliant, auditable, and built to scale. The ideal candidate combines deep enterprise architecture expertise with hands-on platform engineering instincts and practical experience deploying AI agents in production environments. This is a build-and-operate role, not a purely advisory one. The Director will directly manage the Salesforce administration team and the NetSuite techno-functional team, and will grow a broader platform capability over time. Key Responsibilities Enterprise Architecture Strategy Define and maintain the enterprise systems architecture roadmap across the commercial, financial, and GTM technology stack, including Salesforce, NetSuite, Zendesk, Snowflake, and related platforms. Own and maintain formal architecture documentation including system topology maps, data flow diagrams, integration inventories, and architecture decision records (ADRs). Establish and enforce architectural governance standards and review processes for all material system changes across the enterprise. Define reference architectures and design patterns for integrations, data exchange, platform extensibility, and AI agent workloads. Lead build vs. buy evaluations and establish platform selection criteria — including for AI tooling, agent orchestration frameworks, and LLMOps infrastructure — aligned with long-term architectural goals. Ensure systems architecture supports scalability, data integrity, security, and operational efficiency in a public-company environment. Systems Architecture & Integration Design Serve as the lead architect for the design and implementation of integrations across Salesforce, NetSuite, Zendesk, Snowflake, Orb, and other enterprise platforms. Establish and enforce design standards, data contracts, and integration governance across all enterprise systems. Own the enterprise architecture review board, evaluating proposed system changes for scalability, compliance, security, and alignment with long-term design goals. Define integration patterns (event-driven, API-first, middleware) and ensure consistent application across the technology ecosystem. Partner with the Data Engineering team to ensure data pipelines, data models, and platform integrations reflect sound architectural principles and support reliable analytical and operational outcomes. Lead evaluation and selection of new technologies, including iPaaS and middleware platforms, ensuring alignment with the broader architecture. Architecture Governance & Advisory Serve as the company's technical authority on enterprise systems design questions, providing architectural guidance to Revenue Operations, Finance, and Data Engineering leadership. Lead architecture review sessions and provide formal design approval for major system initiatives and platform changes. Produce and maintain architectural roadmaps, standards documentation, and technical decision frameworks that guide delivery teams and stakeholders. Translate complex business requirements into scalable, future-proof architectural solutions, ensuring alignment between business priorities and technical design decisions. Establish strong feedback loops with business teams to ensure the architecture evolves alongside organizational needs. Mature the infrastructure that governs AI agent workflows — ensuring all agents and automated systems operate through governed identity, API gateway, secrets management, logging, and reconciliation layers. Maintain and enforce change management standards for workflow deployments, prompt changes, and policy updates — including GitHub-backed version control and CI/CD deployment gates. Ensure AI agent operations comply with SOX IT General Controls, data privacy requirements (GDPR/CCPA), and internal data governance standards. Build and maintain observability infrastructure in partnership with the security team for agent operations, including real-time dashboards, alerting on anomalous behavior, and audit trail evidence for SOX and compliance purposes. Team Leadership & Vendor Governance Lead and develop a team of Business Systems administrators, contractors, providing mentorship and clear career development direction. Establish best practices for systems lifecycle management, change management, and project delivery. Manage vendor and contractor relationships, ensuring external resources operate within defined architectural standards and governance frameworks. Champion a culture of technical rigor, documentation discipline, and continuous improvement across the team. Qualifications Required 10+ years of experience in Enterprise Architecture, Business Systems, or Platform Engineering roles, with demonstrated ownership of multi-system environments at a public or compliance-regulated company. Proven experience deploying, monitoring, and governing AI agents or LLM-powered workflows in production, including prompt versioning, agent identity management, and audit logging. Deep experience architecting and governing Salesforce CRM environments at scale, including data model design, integration patterns, and access controls. Strong working knowledge of NetSuite and Snowflake from both an architectural and operational perspective. Experience building and operating API gateway, secrets management, and identity-based access control infrastructure in support of automated workflows or agent systems. Solid understanding of SOX IT General Controls and application controls, with experience producing control evidence in a public company environment within the last 3 years. Proven track record managing multi-functional business systems or platform teams, including direct management of admins and techno-functional resources. Experience designing integration architectures using event-driven, API-first, or middleware patterns. Strong communication and stakeholder management skills with the ability to engage credibly across technical teams, senior business leaders, and external auditors. Experience with workflow versioning, GitOps patterns, and CI/CD pipelines for business systems deployments. Preferred Proficiency with architecture and security frameworks to enable the responsible usage of AI Hands-on experience with iPaaS or middleware platforms (e.g., Fivetran, Polytomic, MuleSoft, Boomi, Celigo) at a design and governance level. Experience developing master data management (MDM) strategy and data governance frameworks. Experience managing analytics architecture and BI platforms such as Tableau. Salesforce and NetSuite certifications. Experience working in public or large enterprise technology environments with compliance and audit requirements. What We Offer Competitive compensation and equity package Full benefits including medical, dental, vision, and 401(k) with matching RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook to use for work, plus a generous stipend to personalize your workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits A collaborative and transparent culture that supports a healthy work-life balance Pay Transparency To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. Final offer amounts are determined by multiple factors including candidate location, skills, depth of work experience, and relevant licenses/credentials. The expected salary range for this role is $190,000 - $220,000. At Backblaze, we value being fair and good to our customers, partners, and employees. Diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We are proud to be an Equal Opportunity Employer.

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role You will own product design for Vercel Marketplace and Vercel Connect, the products that help developers and agents discover, provision, and connect external services to their workloads running on Vercel. You will design both sides of the ecosystem: builders choosing and managing services, and partners creating and operating integrations across the Vercel dashboard, CLI, API-driven agent flows, v0, and partner tools. Both products are live, with active customers and partners. You will improve current journeys while defining how integrations and agent access should work next. You will report into Design and collaborate with a Product Manager and dedicated engineering team. We’re considering candidates at both the Senior and Staff level and will calibrate level based on experience and demonstrated scope and impact. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Own the builder and partner experiences across discovery, installation, billing, management, and removal, and shape what the team builds next with Product and Engineering. Define how developers and agents discover, provision, configure, and use databases, services, and integrations across Marketplace and Connect. Turn OAuth, permissions, environments, credentials, billing, and provider constraints into experiences that feel simple without hiding details that matter. Build and test working prototypes independently, using coding agents to explore product behavior and technical constraints. Work directly with customers and partners, using research, support signals, and product data to find opportunities, define success measures, and prove improvements through experiments. Work through implementation with engineers and maintain quality through launch and iteration. There is no mature design playbook here. Create the reusable patterns and structure Marketplace and Connect need, and adjust course as evidence arrives. Take on foundational product problems, including provider dependencies and platform operations. Some high-impact work will be largely invisible to users. What you need Your portfolio makes your contribution, decisions, shipped outcomes, and impact after launch easy to understand. You have independently owned ambiguous, technically complex product work from problem framing through launch and iteration. You reason about systems while maintaining a high bar for interaction and visual craft. You use qualitative and quantitative evidence, define success measures, and change direction when evidence challenges the hypothesis. You make complex products feel clear and trustworthy, including edge cases, recovery, language, and accessibility. You work directly with Product and Engineering, read APIs or code when useful, and explain tradeoffs clearly. You independently use coding agents to prototype interactions, inspect implementation, and learn unfamiliar systems. Curiosity and agency with these tools are required. Production engineering experience is not required. We care more about product judgment, craft, ownership, and how quickly you learn a technical system. Bonus if you Have designed a marketplace, integrations platform, partner ecosystem, or other multi-sided product. Understand OAuth, permissions, secrets, billing, developer tooling, or infrastructure products. Have shipped AI or agent experiences, especially workflows that move between human approval and autonomous action. Have an engineering background or experience contributing production web code. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $172,000 - $258,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Newmindstart is an international edtech company in the health and conscious living space, operating across the US, UK, and Europe. They create courses focused on physical health, movement, and mental well-being, aiming to improve people's lives. The company manages a $1M+ monthly ad budget, has achieved 2–3x revenue growth over the past year, and plans to triple spend again this year. They offer 300+ courses, a strong Meta channel, direct-response funnels, solid unit economics, and a high-performing team. Their goal is to become a top-5 global wellness edtech company within the next few years. Responsibilities: — Elevate the core product to match the scale of the audience and marketing strength. — Define and execute product strategy across the entire product portfolio. — Build a strong product culture centered on customer research, data, and rapid experimentation. — Drive Product-Market Fit for new initiatives and continuously improve existing products. — Lead Product Discovery through Customer Development, JTBD, and user interviews to uncover real customer needs. — Run fast experimentation cycles using MVPs, A/B testing, and data-driven decision making. — Identify and strengthen moments that create customer value from activation through retention. — Own engagement, habit formation, activation, monetization, and core product metrics driving growth. — Oversee the entire product ecosystem including platform, mobile apps, user experience, and future products. — Build, mentor, and grow a high-performing product organization including Product Managers and leaders. — Partner closely with Marketing, Analytics, Design, and Engineering. Requirements: — Experience as CPO, VP of Product, or Head of Product in international Health & Wellness or high-growth B2C subscription business with millions of users. — Proven experience taking products from zero to Product-Market Fit. — Track record of launching and scaling products in Tier-1 markets, especially the US. — Deep expertise in Product Discovery, Customer Development, JTBD, product research, A/B testing, and product analytics. — Experience building and scaling high-performing product teams and culture. — Experience building AI-first products or integrating AI into product experience. — Deep understanding of user behavior driving engagement, retention, and habit formation. — Genuine passion for improving people's health and well-being through product. Conditions: — Remote-first work from anywhere under an international contract. — Scale with millions of users already present. — Ownership with full responsibility for product strategy. — Speed with no unnecessary approvals or bureaucracy. — Access to top product and AI tools, learning budget, and mentorship from experienced US market experts. How to apply: Please include answers to questions about your proudest product, how you achieved Product-Market Fit and scaled it, your biggest product win, and examples of high-impact decisions leading to measurable business results.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior Hardware Test Engineer to own the test methodology for HMND‑01’s hardware components, robot subsystems, and complete humanoid robots. You will be the engineer who decides what “good” looks like — from a single actuator on the bench to a full robot walking through an integration sequence. This is a hands-on, technical leadership role. You will design test methods, run them yourself on early prototypes, and partner closely with the test automation team, Manufacturing Engineering, Production Operations, and Supply Chain Quality as we move from EVT toward production. You’ll be the hardware voice that shapes what gets measured on the line, at what tolerance, and why — without owning the QC routine or rig build, which sit with Production Ops Quality and Manufacturing Engineering respectively. KEY RESPONSIBILITIES 1. TEST METHOD DEFINITION - Component-Level Methods: Define functional, performance, and stress tests for individual hardware components — actuators, sensors, electronics, structural parts — including pass/fail criteria and required data capture. - Subsystem Testing: Design integration tests for major robot subsystems (arms, hands, legs, torso, head) covering kinematic accuracy, repeatability, load behavior, and thermal response. - Whole-Robot Testing: Define and execute system-level tests for full robot assemblies, including end-to-end motion sequences, balance, manipulation tasks, and failure-mode behavior. 2. HANDS-ON TEST EXECUTION - Prototype Bring-up: Be the first engineer to put hands on each new hardware revision, characterizing performance against design intent and feeding findings back to the design team. - Failure Analysis: Investigate failures during testing, work with hardware engineers to root-cause issues, and verify fixes. - Test Documentation: Capture methods, results, and learnings in a way that the rest of the organization can repeat and trust. 3. AUTOMATION SUPPORT - Test Automation Inputs: Translate manual test methods into specifications for the automation team. Decide which tests can be automated and which must remain manual, and why. - Tooling: Specify and prototype custom test fixtures, jigs, and instrumentation needed to execute your methods reliably during prototype and bring-up work. - Data: Define what each test must capture so that automated runs produce results comparable to your manual baseline. 4. PRODUCTION TEST — IN PARTNERSHIP WITH MANUFACTURING ENGINEERING AND PRODUCTION OPS - Requirements for Line Rigs & Jigs: Provide the technical requirements for production test jigs, fixtures, and test beds — what they measure, at what tolerance, what data they need to capture, and the pass/fail criteria. Manufacturing Engineering owns rig design, build, and commissioning; you review designs and sign off on whether they actually verify what they’re meant to verify. - In-Process Verification: Define the checks at each stage of assembly that confirm components and sub-assemblies have been built correctly before they move to the next station, including required measurements and rework paths for failures. - Test Evidence & Traceability: Define what each production test must capture so that results, measurements, and pass/fail outcomes are written to the production database, linked to the serial number of the unit under test — every shipped robot has a complete and queryable build and test history. - System-Level Acceptance: Define final-product acceptance tests — performance envelopes, functional gates, and sign-off criteria for a robot leaving the line. 5. QUALITY & DESIGN FEEDBACK LOOP — IN PARTNERSHIP WITH SUPPLY CHAIN QUALITY AND PRODUCTION OPS QUALITY - Component Performance Characteristics: Define the system-level performance characteristics that incoming parts must meet. Supply Chain Quality translates these into incoming inspection criteria and supplier qualification plans, and runs the inspection process. - Root-Cause Partnership: Partner with Production Ops Quality on root-cause analysis when line failures trace back to component behavior or system design, and feed findings back into engineering. - Closed Loop with Design: Treat test data as a closed loop with design — surface trends from production into design reviews so the product gets better, not just the process. QUALIFICATIONS Must-Have: - Experience: 5+ years in hardware test engineering, with hands-on testing of complex electromechanical systems — robotics, automotive, aerospace, or similar. - Test Methodology: Strong grasp of test theory, test design, and pass/fail criteria definition. You can write a test spec that another engineer can execute without follow-up questions. - Mechanical: Solid understanding of mechanical design principles, common core components (gears, bearings, actuators), measurement tools (calipers, micrometers, load cells, encoders), and technical drawings including GD&T basics. - Electrical: Comfortable reading schematics, using a multimeter and oscilloscope, and reasoning about basic power and signal integrity. - Production Fluency: Familiarity with hardware production operations — flow, takt, work instructions, traveler documentation — enough to collaborate effectively with Manufacturing Engineering and Production Ops without trying to own their work. - Tooling: Experience with test and task tracking systems (Jira, X-Ray, TestRail, or similar). - Matrix Operating Style: Comfortable influencing test stations, rigs, and equipment design through clear requirements and tight partnership, not through ownership. - Mindset: Systems thinking — you naturally see how a problem at the component level can manifest as a behavior at the full-robot level. Nice-to-Have: - Robotics experience, especially with serial-link manipulators or legged systems. - Hands-on test rig and fixture design experience (mechanical and/or electrical) — useful for speaking the same language as Manufacturing Engineering on rig requirements. - Python (or similar) for ad-hoc data analysis and lightweight test automation. - CAD (SolidWorks/Fusion/NX) for sketching test fixtures. - Familiarity with ROS2. - Experience with embedded systems and field buses such as CAN or EtherCAT. - Experience with industrial automation equipment (servos, gateways, sensors, PLCs). - Knowledge of statistical quality control fundamentals (SPC, MSA) — for working effectively with Quality on test data interpretation. WHAT YOU'LL BE TESTING - Actuators (motors, gearboxes, encoders, drivers) - Robot manipulators and end-effectors - Legged subsystems and balance behaviors - Power and battery systems - Full humanoid robot assemblies WHAT WE OFFER - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support. - Equity included–we believe builders should share in what they build. - Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We're looking for a Senior Software Engineer to join our Payments Team, based in the US. Payments is where OKX meets the real financial world. Our team has built and operates the infrastructure connecting OKX to dozens of payment channels across global markets, giving users deposit and withdrawal options that are fast, convenient, and — most importantly — trustworthy. That platform moves and safeguards user assets at institutional scale, continuously, across time zones and regulatory environments. This is not a greenfield team looking for its footing. The team is established, the platform is in production at scale, and we are actively expanding — both in scope and in headcount. That combination is rare: you get the leverage of joining a growing team where your work visibly shifts the roadmap, along with the discipline that comes from a system already trusted with real money. It's also an unusually good place to learn. Payments is a domain that's hard to pick up from the outside — every market has its own rails, its own settlement behavior, its own failure modes, its own compliance expectations. Here you'll work across a wide range of payment methods and channels, and you'll build the judgment that comes from operating financial systems where the stakes are real: how to design for correctness when money is on the line, how to reconcile, how to recover, how to keep a platform observable enough that you find problems before your users do. You'll work closely with product managers, designers, and partner-facing teams, and you'll set the technical bar for the engineers around you — through design docs, code reviews, and the everyday habit of doing things properly when nobody's watching. If you like the sound of a team where the problems are genuinely hard, the standard is high, and your opinion changes the outcome, we'd like to talk. What You’ll Be Doing Design and build the core. Develop high-scale, 24/7 APIs and distributed payment services across multiple cloud providers, using Java and Spring Boot as the primary stack. Own systems end to end — from design doc through production ownership. Expand our global reach. Help integrate and scale new payment channels and methods across markets, each with its own technical, operational, and reliability characteristics. Protect user assets. Build for correctness first: consistency, idempotency, reconciliation, failure recovery, and the operational tooling that lets us stand behind every transaction. Set the technical bar. Participate actively in design and code reviews, giving and receiving direct, constructive feedback. Help evolve the standards a growing team builds on. Solve the hard problems. Investigate complex distributed-systems challenges and drive them to resolution rather than handing them off. Partner across functions. Work with product, design, and partner teams across regions to turn ambiguous requirements into shipped systems, and to unblock dependencies before they become delays. Grow the team's capability. Mentor engineers and share what you learn. Seniority here is measured in leverage, not just output. Stay curious. Keep pace with a fast-moving industry and bring the good ideas back. What you'll take away from this role Deep, practical fluency across a wide range of global payment methods and channels — knowledge that is genuinely hard to acquire anywhere else Experience designing and operating systems entrusted with substantial user assets, where correctness and recoverability are non-negotiable A track record of shipping in a regulated, high-stakes domain at real scale What We Look For In You 5+ years of backend software development experience, with a proven track record of building and operating high-availability, large-scale applications. Strong engineering fundamentals — data structures, algorithms, concurrency, and software design patterns — and the judgment to know when to reach for which. Ownership instinct. You take responsibility for outcomes, not just tickets. When something's broken or unclear, you move toward it. Ability to drive cross-team collaboration, managing complex dependencies and competing requirements without losing momentum. Excellent problem-solving skills, and comfort operating with autonomy in a fast-paced environment. Strong written and verbal communication. You can explain a complex technical trade-off to an engineer and to a non-technical stakeholder, and land it with both. Genuine interest in crypto or fintech, and in building things that make money move better. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! The base salary range for this position is $178,888 to $268,333. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a partnerships leader to own the tri-party motion for systems integrator partnerships selling through AWS. Global systems integrators and specialist SIs are how Claude reaches enterprise customers at scale, and AWS is the surface most of that work runs on. You will own the intersection of those two ecosystems. In this role, you will build the go-to-market motion that turns partner interest into joint pipeline and closed revenue, working across AWS's partner organization and the AWS practices inside the world's largest integrators. You will define how Claude is positioned inside AWS partner programs, design the commercial mechanics that let partners transact and get rewarded, and build the joint plays that partners take to their customers. This is a build role. The partner ecosystem is early, the programs are still being designed, and you will be operating across three organizations whose incentives on any given deal don’t always line up. You will help shape how frontier AI technology reaches the enterprise through the services ecosystem. You will report directly to the Head of AWS GTM Partnerships. Key Responsibilities Develop and execute the GTM strategy for our systems integrator partnerships through AWS, including co-selling motions, joint business plans, events and segment-specific plays Own forecasting, pipeline development, and revenue targets for partner-sourced and partner-influenced business Design the commercial mechanics that make the partner motion work, including deal registration, marketplace program structure, and incentives Build and maintain executive-level relationships across AWS's partner organization and across partner AWS practice leadership Work with partners to develop repeatable, industry-specific solutions built on Claude, and help them build the delivery capability to take those solutions to market Partner cross-functionally with Anthropic's alliances, sales, partner marketing, and regional cloud teams to keep the motion consistent globally while regions execute locally Create and implement scalable processes for partnership operations, including escalation management, business reviews, and reporting Provide strategic market intelligence and competitive insights on the partner ecosystem to inform product and commercial strategy Identify where to concentrate investment across the partner portfolio and make the case to stop investing where returns are not there Minimum qualifications 12+ years of enterprise partnerships, alliances, or business development experience, with meaningful time spent on partner ecosystems Proven track record of building and scaling partnerships with systems integrators, consultancies, or channel partners Experience building a co-sell or channel motion from the ground up, including the commercial mechanics behind it Deep understanding of how cloud and partner field organizations operate, and the incentives that drive seller and partner behavior Track record of carrying and hitting a partner-sourced or partner-influenced revenue number, with credible forecasting behind it Strong executive presence and demonstrated ability to influence senior stakeholders where you have no formal authority Excellence in strategic planning, business operations, and program management Ability to balance strategic thinking with tactical execution, and a willingness to concentrate effort rather than spread thin Experience working with technical products and translating complex capabilities into business value Ability to travel up to 25% of the time Preferred qualifications Previous experience working with AWS or another hyperscaler partner organization Working knowledge of systems integrator operating models, including practice structures, delivery economics, and how services revenue drives partner decisions Background in AI/ML technologies or with developer-focused platforms and their partner ecosystems Experience scaling partner programs at a company moving from early traction to significant partner-driven revenue Management consulting experience earlier in your career Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 — $425,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: North America, EU, UK AI Systems Researcher / Research Engineer London (Preferred) - Hybrid, or Remote in North America, EU, UK About Brave Brave is on a mission to protect the human right to privacy online. We’ve built a free web browser that blocks creepy ads and trackers by default, a private search engine with a truly independent index, private AI assistant, latest privacy and security features, and a private ad network (opt-in!) that directly rewards you for your attention. Already over 120 million people regularly use Brave for a faster, more private web. Millions more switch every month. The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what’s true and what’s not. Brave is fighting back. Join us! Summary Join us at Brave as we redefine the future of online experiences with a range of cutting-edge, top-performing products. We’re seeking an experienced AI Systems and Performance Researcher/Engineer to shape and improve our performance evaluations and optimizations across desktop and mobile. If you’re passionate about innovation, privacy, and delivering impactful AI solutions, this is your opportunity to make a difference. We need you to help with a wide range of key products, ranging from our browser ML models, novel applications, on-device AI agents, performance evaluations, and collaborating closely with privacy and security researchers to protect the users from AI risks. About you An ideal candidate will have a mix of skills that include the following: Demonstrates a high level of initiative and consistently delivers high-quality solutions Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior Is excited by the potential of realizing high-value commercial outcomes and change the way that the advertising business operates Want to be part of a high-growth startup company with global ambitions Experience with software development practices (Python, C++, JavaScript and/or Rust) Has a proven track record implementing data driven products and a broad understanding of the state of the art in systems and networks Comfortable working in an open-source setting Able to create and deploy mobile/desktop applications and systems Has a passion for helping protect users’ privacy and security A Ph.D. in computer science is highly preferred, but we may consider some exceptions with industry experience Specific Skills Background and/or previous work in AI systems research and performance evaluation. Expertise in optimizing and evaluating ML models and/or privacy & security technologies for on-device performance. Experience with modern Machine Learning (ML) frameworks (e.g., Pytorch, TensorFlow, MLX, ONNX Runtime, Core ML, TensorRT, etc.). Skills That Will Set You Apart from the Competition ML Systems (pipelines, performance evaluation, etc.) Open source projects on mobile/desktop systems optimization Experience with confidential computing and security/privacy protocols Ph.D. in computer science from a top-tier school A strong publication record in premier systems, performance, or ML Work experience in industry is desirable Working at Brave - What we offer Ability to work at an exciting and well-funded international startup headquartered in San Francisco Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions Competitive compensation and plenty of room for personal growth Great international exposure and team atmosphere We are looking to hire in London but would consider an exceptional candidate in the rest of Europe. NO AGENCIES or RECRUITERS PLEASE - Unfortunately, we cannot work with third parties on these searches.