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Location: Karachi, Pakistan Intellect Care (Counselling/ Psychotherapy) is a collaborative process to guide, explore and/or resolve personal, social, or psychological problems and difficulties. Counselling is most useful when clients seek tools or techniques to support their mental health. Psychotherapy identifies unhelpful patterns of thinking and behaviours which may limit the client's quality of life or daily activities and equip clients with more helpful and effective ways of thinking, behaving and relating to others. This addresses moderately severe mental health experiences. Intellect Care normally spans up to 60 minutes Why Join Us? Become part of a collaborative network of Clinical Psychologists and Counsellors dedicated to expanding access to quality mental health care. At Intellect, you’ll find a supportive community focused on enhancing lives and helping clients overcome personal challenges. What You'll Do Provide 1-on-1 telehealth/or onsite mental health support for Intellect’s clients Address a range of clinical cases, including depression, anxiety, trauma, schizophrenia, eating disorders, addiction, and more Partner with our internal clinical team to improve the platform and client programs Requirements Qualifications: Counsellor: Minimum Masters Degree in Counselling / Counselling psychology with a minimum of 300 hours of counselling experience post qualification & practicum/ placement/ internship Clinical Psychologist: Minimum Masters Degree in Clinical psychology with a minimum of 300 hours of Clinical/Therapy experience post qualification & practicum/ placement/ internship. Expertise: Skilled in Cognitive Behavioral Therapy or other evidence-based approaches (e.g., Motivational Interviewing, DBT, SFBT) License: Must hold valid and active licenses applicable to the country of practice Experience: A minimum of 300 clinical hours post-master’s degree Languages: Proficiency in English and Urdu + Seraiki Preferred Background: Prior experience with EAP, adult counseling, or coaching managerial roles If you’re ready to make a meaningful impact and be part of a mission-driven team, we’d love to hear from you. Apply today and join us in transforming mental health care!

Location: Pakistan; Philippines; India; Egypt; Morocco About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a high-caliber Senior AI/ML & Optimization Engineer to join the core team at Loop Optimizations. This is not a project-based role; it is a mission-critical position focused on building and refining an autonomous AI marketing platform that continuously creates, tests, and improves full-funnel marketing assets. You will be responsible for the "brain" of our system, ensuring our algorithms make smarter decisions, drive higher revenue for customers, and operate with maximum efficiency. If you are passionate about building self-improving systems that bridge the gap between complex data and real-world business outcomes, we want to hear from you. Key Responsibilities Architect and refine optimization algorithms that drive autonomous marketing decisions Analyze experiment performance and A/B test results to iterate on system logic Evaluate and integrate cutting-edge AI models to enhance creative generation and predictive capabilities Develop and improve multi-touch attribution models to ensure accurate revenue reporting Scale the platform to support new advertising channels and complex customer journeys Optimize system performance and reduce inference costs without sacrificing output quality Incorporate customer feedback and behavioral data to improve the platform's autonomous reasoning Monitor and improve the overall reliability and speed of the optimization loops Requirements Develop and refine autonomous optimization algorithms that manage ads, websites, and email marketing sequences Analyze experiment performance and A/B test results to drive continuous system improvement Evaluate and integrate the latest AI models and creative generation tools to maintain a competitive edge Improve multi-touch attribution models and autonomous decision-making logic Expand the platform’s reach by introducing and optimizing new advertising channels Focus on system performance by reducing inference costs and latency Incorporate direct customer feedback into the development of new optimization methodologies Monitor long-term system health to ensure the platform remains a robust, continuously improving engine Nice-to-Haves Experience in the SaaS or AdTech industries. Advanced proficiency in A/B testing frameworks and experimental design. Familiarity with Slack for team communication and workflow integration. Strong English communication skills Benefits 💰 Competitive base salary 🌎 Fully remote work environment (Offshore) 🚀 Opportunity to build a category-defining autonomous platform 📈 Long-term stability as an integral, ongoing teammate 🕒 Flexible working hours with consistent core overlap 🛠️ Work with the latest AI/ML models and technologies

Location: Minsk, Belarus; Yerevan, Armenia; Tbilisi, Georgia; Spain; Portugal; Limassol, Cyprus As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Lead Brand Designer to join our Design Department. Role overview As a Lead Brand Designer, you’ll shape and evolve the visual identity across our brands and products, keeping it consistent across marketing, SMM, CRM, and product. You’ll set the creative direction for key projects, develop brand guidelines and assets, and work closely with designers and stakeholders to maintain a high visual standard. You’ll also mentor designers and help the team grow a strong, consistent brand-focused approach. Responsibilities Brand Identity: Develop and evolve visual identities across brands and products, including typography, color palettes, guidelines, and design templates. Brand Consistency: Ensure a consistent visual language across all brand touchpoints, including SMM, CRM, product, and marketing. Brand Guidelines: Define, maintain, and promote brand guidelines, ensuring their correct implementation across teams and projects. Creative Direction: Lead the visual direction for campaigns, product launches, key visuals, and other high-impact brand projects. Design Collaboration: Work closely with stakeholders and cross-functional design teams to create cohesive and effective brand communications. Design Review: Review design outputs and provide clear, constructive feedback to maintain a high standard of visual quality. Brand Communication: Create visual materials for brand communications, internal initiatives, and other business needs. Team Development: Support and mentor designers on brand-related tasks, helping them develop their skills and strengthen their understanding of the brand. Requirements Experience: 3+ years of experience in brand design or a similar role. Portfolio: Strong portfolio demonstrating experience in developing visual identities and cohesive brand systems. Design Principles: Strong understanding of typography, composition, color theory, and visual hierarchy. Brand Guidelines: Proven experience creating, maintaining, and implementing brand guidelines across different projects and teams. Strategic Thinking: Ability to understand business goals and translate them into clear, effective visual solutions. Communication: Strong communication and collaboration skills, with the ability to work effectively with multiple stakeholders and cross-functional teams. Design Tools: Advanced proficiency in Figma, Adobe Photoshop, and Adobe Illustrator. Nice to have Performance Marketing: Experience working with performance marketing and creating visuals for campaigns focused on measurable results. Cross-Functional Experience: Experience collaborating with motion and 3D teams on integrated creative projects. Team Leadership: Previous experience leading, mentoring, or supporting other designers. Marketing Knowledge: Understanding of marketing funnels, user behavior, and how visual communication influences engagement and conversion. Benefits Remote work opportunity. Flexible working schedule. Interesting product. Learning opportunities. Career growth prospects.

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 experienced Foreign Military Sales (FMS) professionals to support current and anticipated opportunities across our national security portfolio. We are seeking mid-level through senior professionals with experience supporting Foreign Military Sales, Foreign Military Financing (FMF), International Military Education and Training (IMET), and related Security Cooperation and Security Assistance programs. Positions may support a range of government customers, military services, program offices, and international partners. Responsibilities FMS Analysts may support activities across the FMS case lifecycle, including: FMS Case Development, Implementation, and Closure: Supporting the development, implementation, execution, modification, and closure of FMS cases. Supporting Letters of Request (LOR), Price and Availability (P&A) responses, Letters of Offer and Acceptance (LOA), amendments, and modifications. Monitoring case status, funding, obligations, expenditures, schedules, deliverables, and other program requirements. Coordinating with DoW organizations, the Department of State, Implementing Agencies, program offices, Security Cooperation stakeholders, U.S. Government organizations, and international partners. Supporting international acquisition, program management, logistics, sustainment, financial management, and other activities associated with FMS programs. Using FMS, Security Cooperation, financial, logistics, and program management systems to track and manage case activities. Assessment, Monitoring, and Evaluation Assessing, monitoring, and evaluating Security Cooperation and Security Assistance programs, including FMF- and IMET-funded activities. Researching and analyzing program and country-level data to identify trends, risks, gaps, and opportunities and support decision-making. Developing monitoring plans, indicators, data collection approaches, assessments, country reports, deep-dive analyses, and other analytical products. Analyzing and communicating findings related to the effectiveness and impact of Security Cooperation and Security Assistance programs. Strategic Design, Coordination, and Reporting Researching and applying Security Cooperation policies, procedures, and guidance, including the Security Assistance Management Manual (SAMM). Preparing briefings, reports, correspondence, case documentation, and recommendations for government stakeholders and senior leadership. Identifying program risks, issues, and requirements and coordinating with stakeholders to support successful case execution. Supporting international engagement strategies and plans, foreign disclosure, export controls, technology transfer, and other policy or compliance requirements associated with FMS and international programs. Minimum Qualifications Professional experience supporting Foreign Military Sales, Foreign Military Financing, International Military Education and Training, Security Cooperation, Security Assistance, or related DoD international programs. Experience supporting one or more phases of the FMS case lifecycle. Experience working with organizations such as the Defense Security Cooperation Agency (DSCA), Department of State (DOS), military department Implementing Agencies, program executive offices/program management offices, Security Cooperation Organizations, Combatant Commands, or other U.S. Government organizations involved in Security Cooperation. Strong analytical and critical-thinking skills related to security assistance, security cooperation, military operations, and international security. Strong written and verbal communication skills, including experience developing and presenting findings, briefings, reports, and other materials for government stakeholders. Ability to manage multiple priorities, respond to quick-turn requests, and adapt to changing requirements. Bachelors Degree in relevant field An active U.S. Government security clearance Preferred Qualifications: Completion of DSCU FMS course series for SC Professionals Knowledge of FMS policies, processes, and procedures and familiarity with the Security Assistance Management Manual (SAMM). Experience coordinating and collaborating with international partners and U.S. Government stakeholders. Experience in one or more FMS functional areas, including case management, program/acquisition management, financial management, logistics and sustainment, assessment, monitoring and evaluation (AM&E), data analysis, or international/country program support. Experience researching and analyzing program data and developing analytical products such as assessments, monitoring reports, country reports, or briefings. Experience with systems such as DSAMS, SCIP, MISIL, GFEBS, or other FMS/Security Cooperation case-management systems is preferred. Please note that the purpose of this Call for CVs is to build out a roster of professionals with relevant experience in the following areas for which Dexis frequently recruits. There is no closing date for applications nor a deadline by when candidates will be assessed; new applicants are reviewed by our team on a regular basis and added to prospective candidate pools. When new positions become available relevant to this sector, Dexis will post a complete job description with detailed information on the responsibilities and qualifications. Candidates with relevant experience who have submitted their CV under this announcement may be contacted when new related jobs open up and are invited to apply. 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: $90,000 — $150,000 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: 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's mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future. Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we're just getting started. Much of this is being built 0→1 right now, in a category no one has defined yet. We're growing the Claude Science product team. As a Product Manager on Claude Science, you will own a major area of the roadmap end to end — think expanding into new scientific fields, landing new model capabilities with researchers, or making the workbench ready for enterprise R&D teams — and help shape the overall product direction alongside the rest of the team. You'll spend real time with researchers in academic labs, biotech and pharma R&D, and research institutes to understand how science actually gets done — from hypothesis to analysis to publication and beyond— and turn what you learn into shipped product. You'll partner directly with our research teams to make the models better at science, help decide which fields and workflows we go after next, and shape what it takes for Claude Science to be trusted in enterprise and regulated research environments. We're looking for experienced product managers and founders with real scientific or technical depth: people who can hold their own in a conversation with a structural biologist or a computational chemist, get in the weeds of model transcripts and evals, and still zoom out to help define a product category. You thrive in ambiguity, uncover non-obvious use cases for nascent capabilities, and bring those insights back to research. Our north star is for Claude Science to accelerate scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. Key responsibilities Own vision, strategy, roadmap, and execution for a major area of Claude Science, and contribute to overall product direction in a category that is still being defined Spend meaningful time with working scientists — in interviews, working sessions, and key customer conversations — and synthesize what you learn into clear priorities, requirements, and success metrics Partner with research to make Claude better at science: define target behaviors, build and shape evals grounded in real scientific workflows, surface failure modes from real usage, and feed them back into model development Drive model and feature launches in your area end to end: define readiness criteria, coordinate across research, engineering, design, and go-to-market, run early access programs, and make sure launches land well with researchers Identify which scientific domains, data sources, tools, and integrations Claude Science should support next, and build the case with evidence from users, usage data, and the broader landscape Prototype ideas yourself with Claude to validate them before committing engineering time Work with safeguards, policy, security, and go-to-market partners so that powerful scientific capabilities reach trusted researchers responsibly, including in enterprise and regulated research settings Drive enterprise readiness  — security and compliance reviews, admin and deployment controls, and the procurement realities of pharma and biotech — so large organizations can adopt it with confidence Prioritize ruthlessly across a broad surface — scientific domains, customer segments, and competing workflows — and make clear calls on what our products serve deeply first, holding the line on MVP versus ideal state Define how success is measured for AI research and development products — adoption and retention among working scientists and operators, time-to-result on real analyses, trust in outputs — and use those measures to steer planning Maintain an objective, current view of the AI-for-science ecosystem — models, tools, benchmarks, and competitors — and of where Claude Science stands within it Minimum qualifications Have product management experience shipping technical products in close partnership with engineering and design, or equivalent experience driving product direction as a founder, engineer, or scientist Have a scientific or deeply technical background — enough to reason with domain experts about their workflows and to diagnose where and why a model is falling short on a scientific task Have a strong grasp of AI and LLM concepts, use AI tools daily, and are comfortable going deep on model behavior, prompting, and evaluation methodology Are data-driven: you ground prioritization in usage data, eval results, and evidence from users rather than intuition alone Have strong user empathy and can synthesize vague or contradictory feedback from expert users into actionable priorities Navigate and execute amid ambiguity as a first-principles thinker, flexing across scientific domains based on the problem at hand and finding simple, easy-to-understand solutions Communicate clearly in writing and can align research, engineering, and go-to-market stakeholders through influence rather than authority Think carefully and creatively about the risks and benefits of putting frontier scientific capabilities into the world, beyond past checklists and playbooks Preferred qualifications 8+ years in product management or equivalent product leadership, including taking products from 0 to 1 and scaling them; founder experience is a plus An advanced degree or hands-on research experience in biology, chemistry, physics, materials science, or a related field — or experience building software for scientists (e.g., computational biology, cheminformatics, lab informatics, simulation, or scientific data platforms) Have personally built evals or benchmarks for model capabilities, ideally agentic or scientific ones Experience shipping products into life sciences, pharma, or other regulated research environments, including familiarity with their data governance and compliance expectations A track record of launching ambitious products that found distribution or commercial success Experience designing trusted-access or staged-rollout programs for sensitive capabilities A creative, hacker spirit and a love of solving hard puzzles The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - Europe Time Zones; Portugal; Spain Workplace: Remote SplitMetrics is a global software company offering an ecosystem of products and services that serve as a growth engine for top mobile-first businesses worldwide. Our ecosystem includes: - SplitMetrics Acquire, a platform for automating and optimizing Apple Ads.  - SplitMetrics Agency, a full-service mobile marketing agency staffed by top experts. - SplitMetrics Optimize, an A/B testing platform recognized as the ASO Tool of the Year. - App Radar by SplitMetrics: an ASO platform with advanced keyword and competitor insights. WHY SPLITMETRICS?  - For over 11 years, we’ve been at the forefront of the mobile marketing industry, building an ecosystem of market-leading technologies. - An Apple Ads Partner, SplitMetrics is the 1st company to build the Apple Ads management platform.  - Working with top mobile companies and brands globally: Skyscanner, Glovo, Flo, Babbel, Wooga and many more. - Generating an impressive transaction volume, with over $1 billion in ad spend flowing through our ecosystem. - Integrated AI into our strategic approach since 2023. - Effectively collaborate across 20+ countries with a remote-first and supportive culture. ABOUT THE ROLE: This is a high-impact opportunity to join SplitMetrics' established sales team as a Business Development Representative, focused on Enterprise and C-level prospects across both inbound and outbound motions. You'll research, prospect, and qualify opportunities that feed directly into the sales pipeline, working closely with Sales to convert interest into qualified meetings. Strong performers have a clear path to Account Executive. IN THIS ROLE, YOU WILL: - Conduct company research based on SplitMetrics' Ideal Customer Profile (ICP) and execute personalized, data-informed outreach to Enterprise and C-level contacts. - Qualify and follow up on inbound leads, quickly assessing fit and routing warm opportunities into the pipeline. - Utilize automation tools, cold calls, and custom emails to build and enrich the sales pipeline with new opportunities. - Run discovery and qualification calls with Enterprise companies and C-level titles to surface needs and hand qualified opportunities to the Sales Team. - Own pipeline and demos-booked targets on a monthly and quarterly basis, with a focus on quality over volume, contributing to team-wide KPIs. - Maintain accurate, up-to-date prospect and company records in HubSpot to track sales metrics and progress. - Collaborate closely with the Sales Team on outreach strategy, sharing feedback and refining messaging based on what's converting. - Actively participate in education sessions and training, and contribute expertise and best practices back to the Sales department. ABOUT YOU: - Minimum 1 year of successful experience in a BDR or quota-carrying sales role, ideally including Enterprise or C-level outreach. - Track record across both outbound prospecting and inbound lead qualification. - Hands-on experience with multiple sales techniques — cold calls, personalized LinkedIn/email messaging, and discovery calls. - Experience with prospecting tools and a CRM (HubSpot a plus). - Strong written and verbal English communication skills. - Quick learner who adapts well to an ever-changing environment. - Time management skills and the ability to work independently or under supervision. - Coachable, resilient, and energized by feedback. - Comfortable operating with some ambiguity within an established, fast-moving team GROWTH PATH: Clear progression to Account Executive for BDRs who consistently hit pipeline and demo targets and demonstrate readiness for a full deal cycle. Specific AE-readiness milestones to be defined jointly with the AE team. WHAT IS THERE FOR YOU? - Time Off: Vacation and public holidays following your country's regulations. Additional PTOs annually for personal rejuvenation. - Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being. - Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development. - Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program. - Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback. - Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment. - Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment. OUR CULTURE At SplitMetrics, our values are not just words — they guide everything we do. To achieve our ambitious goals and maintain success, we stand united by our core behaviors: - Move Fast - Get Sh*t Done - Build Together - Strive for Transparency - Own What You Do - Learn + Share = Excel Remote Hiring Guidelines: At SplitMetrics, we welcome team members from various countries. While all our roles are remote, certain positions may have specific eligibility requirements based on location. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.

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: 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.