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Location: Cape Town, South Africa; Moscow, Russia; London, United Kingdom; Bucharest, Romania We are looking for an experienced Drilling Field Compliance Coordinator to support Health, Safety, and Environment (HSE) compliance across drilling and workover operations. The successful candidate will conduct field inspections and audits, investigate incidents, assess operational risks, and ensure compliance with Saudi Aramco HSE standards and safety management systems. Key Responsibilities Conduct HSE audits and field inspections across drilling and workover rigs. Ensure compliance with Saudi Aramco safety standards, operational procedures, and environmental requirements. Prepare inspection reports, Non-Conformance Reports (NCRs), and corrective action plans. Lead or participate in incident investigations and prepare investigation reports. Support pre-commencement inspections for new rigs and follow up on identified findings. Prepare rigs for internal and external audits, including RHSEI, Well Control, LPD, Corporate, and EPD audits. Identify hazards, assess risks, and recommend appropriate control measures. Provide HSE guidance and mentoring to rig supervisors, safety officers, and operational teams. Monitor behavioral safety through regular rig visits, safety meetings, and on-the-job awareness activities. Support safety training, emergency preparedness, contractor safety, and environmental protection initiatives. Requirements Bachelor’s degree in Engineering, HSE, Science, Industrial disciplines, or a related field. NEBOSH IGC, IOSH, or an equivalent internationally recognized safety certification. Minimum 10 years of relevant HSE experience in the Oil & Gas industry. At least 7 years of experience in drilling and workover operations. Strong knowledge of incident investigation, hazard identification, risk management, emergency preparedness, and HSE management systems. Experience conducting field inspections, safety audits, and compliance assessments. Strong reporting, communication, and problem-solving skills. Ability to work in field-based environments and follow rotational work schedules.

Location: Kazakhstan; Georgia; Serbia; Poland As a Big Data Infrastructure Engineer in the Big Data Platform team, you’ll own the big data infrastructure of our international contour and be its technical lead. You’ll deploy, upgrade and operate the core services of the platform: HDFS, S3-compatible object storage (Apache Ozone), Iceberg and others. You’ll start by helping run an infrastructure pilot that changes how the platform is used: a small number of very large datasets will become thousands of small tables. You’ll introduce compute and storage quotas for business units, migrate us from the default Iceberg catalog to a more capable one (Lakekeeper or Gravitino), and rebuild monitoring and alerting so alerts mean something again. You’ll work closely with an engineer who runs the same stack in a parallel contour. You’ll share approaches and solutions with them and cover for each other. Our infrastructure runs on the latest versions of everything, and we actively replace outdated tools. The role suits an experienced engineer who wants real ownership and a big say in architecture. Requirements 5+ years of experience designing, deploying and operating big data platforms. Hands-on experience with HDFS / Hadoop: deployment, version upgrades, troubleshooting. Hands-on experience deploying and operating S3-compatible object storage. Apache Ozone is ideal, but MinIO or similar solutions also count. Experience with Apache Iceberg. Experience setting up monitoring and alerting for data infrastructure. English B2. Ability to work in the GMT+3 time zone (up to 3 hours difference). Nice to have Experience with Trino, Kafka or Flink. Experience with Iceberg REST catalogs (Lakekeeper, Gravitino, Polaris or similar). Experience setting up resource quotas and cost allocation in a multi-tenant data platform. Hands-on use of AI tools, such as Copilot or agents, to speed up your work. Benefits Flexible schedules and opportunity to work remotely. Ambitious and supportive team who love what they do, appreciate each other, and grow together. A structured onboarding, a personal development plan, and regular internal lectures and demos from the team. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation.

Location: Minsk, Belarus 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 Project Manager to coordinate the work of our Content and Design Teams. Role overview As a Project Manager, you’ll coordinate projects and day-to-day work across the Content and Design teams, keeping priorities, deadlines, and workloads on track. You’ll work closely with Team Leads and department heads to remove blockers and make sure work runs smoothly. You’ll also look for ways to simplify and automate processes, improve Jira workflows, and use data and AI to make team operations more efficient. Responsibilities: Project Coordination: Coordinate ongoing projects and day-to-day tasks across the Content and Design departments. Planning & Prioritization: Track deadlines, priorities, dependencies, and blockers to keep work on schedule. Team Support: Support Team Leads with workload planning, task coordination, and day-to-day operations. Operational Support: Take over operational responsibilities during periods of high workload or when another Project Manager is unavailable. Process Improvement: Identify inefficient or manual processes and suggest ways to simplify and automate them. AI Solutions: Identify opportunities to use AI in internal workflows and support the implementation of relevant solutions. Jira Management: Configure and improve Jira workflows, automations, filters, dashboards, and reporting. Reporting: Prepare regular reports on production, workload, timelines, bottlenecks, and key risks across Content and Design. Data-Driven Improvements: Use data to identify operational issues and recommend practical process improvements. Stakeholder Collaboration: Work closely with Team Leads, department heads, and internal stakeholders to keep teams aligned and projects moving forward. Requirements Experience: 2+ years of experience as a Project Manager or in a similar role. Multi-Team Coordination: Experience coordinating multiple teams or workstreams simultaneously. Jira & Atlassian: Strong knowledge of Atlassian tools, especially Jira, with the ability to configure workflows, automations, filters, dashboards, and reports independently. Prioritization: Ability to manage multiple tasks in parallel, set priorities, and keep work on track. Process Analysis: Ability to analyze workflows, identify root causes of process issues, and suggest practical improvements. Data & Reporting: Ability to work with reporting data, identify key insights, and turn them into clear conclusions and recommendations. AI: Strong interest in AI and hands-on experience using AI tools in day-to-day work. Proactivity: Proactive approach and willingness to identify, suggest, and drive process improvements. Language Skills: English at B2 level or higher. Nice to have: Experience working with Content or Design teams. Experience implementing AI tools in internal workflows. Experience building reports on team workload and operational efficiency. Benefits Enjoy 5 health days to focus on your well-being. Take advantage of 25 paid calendar vacation days to explore, relax, and unwind. Get a $30 net per month sports compensation to stay active and healthy. Benefit from top-notch medical insurance for peace of mind. Indulge in a variety of snacks available in the office. Join us for exciting corporate events that foster team spirit and fun!

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 As Director of Mid-Market Sales, you will lead and elevate our mid-market sales organization, driving performance, consistency, and execution excellence across the segment. This is a leadership role focused on developing talent, sharpening sales rigor, and building a repeatable, high-performing motion. You’ll coach a team of already-performing Account Executives to win complex deals, deepen discovery, improve close rates, and consistently exceed targets. This role is ideal for a sales leader who thrives in high-accountability environments, loves developing talent, and knows how to build discipline and performance into a scaling mid-market team. WHAT YOU’LL DO - Own mid-market revenue performance, ensuring the team consistently hits and exceeds monthly and quarterly targets. - Coach and develop Account Executives to improve discovery, objection handling, deal strategy, and closing effectiveness. - Elevate call quality through regular deal reviews, call coaching, and structured feedback loops. - Improve pipeline hygiene, forecasting accuracy, and overall sales execution rigor. - Identify skill gaps and implement targeted enablement programs to raise performance across the team. - Refine messaging, positioning, and demo execution to increase conversion rates and ACV. - Lead by example in strategic deals, modeling best-in-class mid-market selling behavior. - Establish clear performance standards and accountability across the team. WHAT YOU’LL BRING - 6+ years of B2B SaaS sales experience, with 2+ years leading mid-market or enterprise AEs. - Strong track record of improving rep performance through hands-on coaching. - Experience scaling and optimizing mid-market sales motions. - Proven ability to drive forecast accuracy and operational rigor. - Deep expertise in discovery-led, consultative sales. - Ability to diagnose pipeline issues and implement corrective action quickly. - Clear, confident communicator who can raise the bar on performance standards. - High ownership mentality and comfort operating in fast-moving, in-office environments. WHO YOU ARE - Coach first, manager second: you measure your success by how much better your reps get. - Obsessed with deal quality, not just deal volume. - Direct and high-accountability: you don't shy away from tough performance conversations. - Energized by mid-market complexity: real selling skill, fast cycle times, operational discipline. - In the weeds on calls, pipeline, and deal strategy, not managing from a dashboard. - Builder mentality: you want to create something, not maintain it. - High ownership, low ego: you do whatever it takes to make the team win. - In-office, engaged, and eager to lead from the front at our NYC location full-time. 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 $350,000-$400,000 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: Poland; United States; Germany; United Kingdom; Bulgaria Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for a Research Engineer to join the research team at ElevenLabs. You'll work at the frontier of audio AI, shaping the models behind products used by millions of people. You will thrive in this role if you enjoy: - Training state-of-the-art models - across any modality. - Pushing existing models further through post-training, data curation, architectural improvements, and novel training paradigms. - Designing rigorous benchmarks and evaluations that tell us whether a new model iteration is genuinely better - and why. REQUIREMENTS We do not require any formal certifications or degrees. Instead, we are seeking enthusiastic engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions. Ideally you bring: - 3+ years of experience in the field of AI, with an emphasis on implementing, training, and improving machine learning models. - Demonstrated capacity to autonomously evaluate novel concepts or enhance existing machine learning projects, potentially contributing to published work. - Experience conducting exploratory research to improve the quality of gathered data. LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

-развивать real-time антибот и антифрод: детектировать ботов и фрод с помощью потоковых эвристик, разрабатывать новые сигналы. -развивать обогащение событий: строить операторы обогащения кликстрим-событий (геолокация, категории, атрибуты пользователя, рекламные метрики).

* Own outbound prospecting and pipeline creation for a defined set of accounts. * Research target accounts and decision-makers using tools like ZoomInfo and LinkedIn Sales Navigator.

Lead the creative vision and execution across Paid Social channels, ensuring design excellence, platform relevance, and brand consistency across all creative assets. Stay informed on performance and testing results, applying learnings to generate creative hypotheses, inform future assets, and proactively develop new creative tests.

We are seeking a Backend leaning Software Engineer. In this role, you will play a pivotal role in designing, building, and maintaining scalable, high-performance systems.

Lead art direction for organic social content, ensuring cultural relevance, platform fluency, and brand consistency across every asset. Partner directly with Social leadership to concept and execute work, taking ideas from concept through final execution.

In This Role, You'll Get to: Own and evolve the architecture of ACP: the orchestrator, per-host agent, and CLI that manage dedicated-resource virtual machines on bare metal, including compute placement, image management, and network recovery.

Location: Giza, Egypt Pixelogic Media is seeking a detail-oriented and technically skilled Audio Engineer to join our team. The ideal candidate will be responsible for preparing, processing, and delivering high-quality audio assets while ensuring compliance with client specifications and technical standards. This role requires strong technical expertise, excellent communication skills, and the ability to manage workflows efficiently in a fast-paced media environment. Key Responsibilities Perform technical quality checks on Pro Tools sessions and audio assets. Prepare media assets and verify audio quality, integrity, and readiness for production. Create and package client deliverables according to project specifications and deadlines. Monitor and maintain workflow processes to ensure efficient project execution. Identify, troubleshoot, and resolve technical audio issues. Ensure all deliverables meet Pixelogic and client quality standards. Collaborate effectively with internal teams, project managers, and other stakeholders. Maintain accurate project documentation and status updates. Follow established operational procedures while contributing to process improvements. Requirements Bachelor’s degree in Audio Engineering, Sound Design, Media Production, or a related field is preferred. Experience working with Pro Tools and professional audio workflows. Strong understanding of audio formats, file management, and media preparation processes. High level of English proficiency (written and spoken). Exceptional attention to detail and commitment to quality. Excellent communication and interpersonal skills. Strong organizational and workflow management abilities. Why should you join us? At Pixelogic, we pride ourselves on fostering a supportive and engaging environment. Our comprehensive benefits include top-notch medical and social insurance fully covered for you and your family, ongoing training and development opportunities, and fun department outings to boost team spirit. Enjoy delicious catered meals, unlimited snacks and drinks, and a fun office activity area for games and stress relief. We also provide free internet for remote work, convenient office transportation, and a rewarding referral bonus system.

Location: Mexico Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We admire the importance of innovative social media strategies and are committed to connecting talented individuals with great companies that need their unique skills. Our mission is to provide great jobs to gifted people, regardless of location. About the Client Our client is a modern packaged food and functional wellness brand built around the belief that great food should support both wellness and enjoyment. The company is committed to creating products with thoughtful ingredients and a strong attention to detail, while bringing a sense of wonder and adventure to the everyday food experience. Its mission is to help customers thrive in the present by providing wellness, great taste, and inspiration. Our client flagship products are soft, dessert-inspired protein bars made with grass-fed bovine collagen peptides, combining functional nutrition with indulgent flavors. About the Role We’re looking for a technically strong, hands-on E-commerce Operations Manager to oversee the day-to-day operations of a growing direct-to-consumer (DTC) business. In this role, you’ll coordinate internal team members and external agencies across paid acquisition, retention marketing, and website operations, ensuring that projects are executed correctly, systems are working as expected, and nothing falls through the cracks. This is not a traditional project management or high-level strategy role. We need someone who understands how e-commerce platforms and marketing channels work in practice, can confidently navigate tools like Shopify, Meta Ads Manager, and Klaviyo, and knows how to identify and troubleshoot issues when something goes wrong. You won't necessarily be responsible for executing every marketing initiative yourself, but you'll need enough hands-on experience to evaluate the quality of execution, understand performance data, hold partners accountable, and occasionally step in to resolve operational issues. You'll work directly with the business owner in a fast-moving environment where priorities can change quickly. This is an opportunity for someone who enjoys taking ownership, solving problems, and keeping a growing e-commerce operation running smoothly. Responsibilities Coordinate internal team members and external agencies across paid acquisition, retention marketing, and website management, ensuring priorities are clear and deliverables are completed on time. Monitor Meta and Google Ads execution, review campaign activity and performance data, and ensure agencies are implementing campaigns correctly. Oversee email and SMS marketing operations through platforms such as Klaviyo, checking campaign schedules, flows, launches, and performance. Regularly review the Shopify storefront to identify issues, verify updates, and ensure website changes and initiatives are implemented correctly. Investigate problems such as missed email sends, campaign setup errors, platform access issues, or website operational issues, resolving them directly when appropriate or coordinating with the responsible team. Gather and interpret data across acquisition, retention, and website operations to provide visibility into performance, identify issues, and support informed business decisions. Follow up on deliverables, identify execution gaps, communicate expectations, and ensure outstanding tasks are resolved rather than simply reported. Keep initiatives moving across multiple channels, coordinate dependencies, and ensure stakeholders have clear visibility into progress and priorities. Identify operational inefficiencies, recurring issues, and opportunities to improve processes, execution quality, and overall e-commerce performance. Requirements 3+ years of relevant experience in e-commerce operations, DTC marketing, e-commerce project management, or a similar hands-on role. Experience working with a direct-to-consumer (DTC) or e-commerce brand, or at an agency supporting e-commerce businesses. Practical familiarity with Shopify, including navigating the platform, reviewing storefront changes, and troubleshooting basic operational issues. Experience with Meta Ads Manager and a working understanding of paid acquisition campaign setup, execution, and performance monitoring. Familiarity with Klaviyo or similar email and SMS marketing platforms, including campaign scheduling, launches, and basic troubleshooting. Exposure to Google Ads and an understanding of how paid acquisition fits into the broader e-commerce operation. Strong analytical skills, with the ability to navigate dashboards, interpret performance data, identify inconsistencies, and communicate findings clearly. Proven project and stakeholder management skills, including coordinating agencies, following up on deliverables, and ensuring accountability across teams. A hands-on, solutions-oriented mindset. You're comfortable getting into the details, investigating problems, and taking action rather than simply escalating issues. Strong organizational skills and the ability to manage shifting priorities in a fast-paced environment. Excellent written and verbal English communication skills, with the confidence to communicate directly with U.S.-based leadership and external partners. Comfortable with occasional urgent requests outside standard working hours when business-critical issues arise. These situations are not constant, but flexibility and responsiveness are important.

Location: Johannesburg, South Africa; Moscow, Russia; Baku, Azerbaijan; Astana, Kazakhstan As a successful candidate you will be required to perform the following: Maintain full Safety Compliance with the Saudi Aramco Applicable Safety & Environmental requirements including SAEP, SAES, GIs and other applicable government regulations. Implement waste management plans for hazardous, non-hazardous, and special wastes including the waste minimization, segregation, storage, transport, and disposal activities with contractors and vendors. Conduct E&OH field audits and inspections as required. Organize and review air emissions monitoring, wastewater sampling, soil assessments and report any non-compliances and ensure corrective actions are tracked and closed in a timely manner. Lead initial environmental spill response coordination, reporting, and root cause analysis, and maintain site-specific Spill Prevention, Control. Conduct regular facility safety inspections and audits, including contractor facilities, and Track corrective action close-outs in environmental tracking systems. Develop and promote a culture of proactive environmental management, and Deliver environmental inductions, toolbox talks, and awareness campaigns for employees and contractors. Prepare monthly and quarterly environmental performance reports, and maintain and update the site’s Environmental Management System (EMS) in compliance with ISO 14001 Requirements Bachelor degree in, Engineering, HSE, Science, Industrial, or in a related discipline from an accredited entity or equivalent. A Master’s Degree or PhD is preferable. Minimum of 10-15 years of experience related to Environmental operations, Oil & Gas industry with minimum of 7 years in Oil & Gas. Certifications (preferred) such as ISO 14001:2015 Lead Auditor, and NEBOSH Environmental Certificate, and Hazardous Waste Management Certification (e.g., RC Hazardous Waste Permit Awareness). Strong knowledge of Environmental Management Systems (EMS) principles. Environmental management certification. Legal and regulatory knowledge concerning Environmental. A good eye for Environmental and the ability to pay attention to details. A comprehensive understanding of the Environmental Impact Assessments. Skills in training and motivating colleagues. Familiarity with the time reporting system. Strong knowledge of project control. Excellent interpersonal and communication skills. Capacity to identify situations requiring improvement in Environment. Excellent leadership skills and multitasking abilities.

Location: Americas; APAC; 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 As Senior Product Manager, User Acquisition, you'll explore an important extension of how RevenueCat helps developers grow: helping them not just monetize the users they have, but acquire more of the right users in the first place. RevenueCat already has several footholds in user acquisition, including our Apple Ads integration and integrations across the attribution and MMP ecosystem. But we're still early in defining what a broader RevenueCat user acquisition product should become. You'll be the first dedicated product hire focused on this space, reporting directly to our product lead for Ads, with significant latitude to shape both the strategy and the products we build. This is a genuine zero-to-one role. You won't inherit a predetermined roadmap. Your job will be to deeply understand how app developers acquire users today, identify where RevenueCat has an opportunity to solve problems meaningfully better, and turn those insights into products we can test, ship, and scale. You'll bring real expertise in mobile performance marketing and user acquisition to that process. The opportunity could eventually span attribution and measurement, products built on top of existing acquisition channels, new ways to optimize spend using downstream monetization data, partnerships, advertising infrastructure, or things we haven't considered yet. We have hypotheses, but we're hiring you in part because we want your perspective on which ones are worth pursuing. RevenueCat has some unusual advantages to build from: relationships with a large ecosystem of app developers, deep visibility into subscription and monetization outcomes, infrastructure already embedded in apps, and a growing advertising business. The challenge is figuring out how those assets can translate into something uniquely valuable for developers trying to grow. ABOUT YOU: - You have 5+ years of experience owning meaningful product or growth decisions end-to-end. Your title may have been Product Manager, founder, growth leader, or something else — what's important is that you've been accountable for deciding what to build and whether it worked. - You have deep, hands-on experience with mobile user acquisition—either directly managing and optimizing acquisition for mobile apps, or building products and infrastructure used by mobile acquisition teams. You understand how app developers actually acquire users, measure performance, and make decisions about where to spend their next dollar. - You understand the modern mobile acquisition stack, including MMPs and attribution, Apple Ads, Meta and Google advertising products, conversion APIs, and related measurement infrastructure. - You can reason clearly about attribution, performance-marketing economics, and privacy. You understand concepts such as CAC, LTV, ROAS, optimization signals, ATT, SKAdNetwork/AdAttributionKit, consent management, and how downstream behavior should influence acquisition decisions. - You thrive in zero-to-one environments. You can take a large, ambiguous opportunity, identify the most important unanswered questions, narrow it into product bets, and find pragmatic ways to test those bets before making large investments. - You are sufficiently technical to work closely with engineering on integrations, APIs, SDKs, data flows, identity, attribution, and other technical product decisions. - You communicate clearly across different audiences and media, particularly in writing. IN THE FIRST MONTH, YOU'LL: - Spend significant time with developers understanding how they acquire users today, how they evaluate acquisition performance, and where the process is painful, expensive, fragmented, or opaque. - Build a deep understanding of RevenueCat's existing acquisition-related products, integrations, data, customer research, and technical capabilities. - Build strong working relationships with engineering, design, data, go-to-market, and other product teams whose work intersects with user acquisition. - Develop a clear picture of the acquisition ecosystem, the problems RevenueCat is particularly well positioned to solve, and the biggest assumptions we still need to test. - Begin forming your own point of view on where RevenueCat could create differentiated value in user acquisition. WITHIN THE FIRST 3 MONTHS, YOU'LL: - Have narrowed the broad user acquisition opportunity into a small number of concrete product hypotheses, grounded in customer research, market understanding, and RevenueCat's unique advantages. - Have a clear recommendation for where we should focus first — and why. - Begin validating that direction through prototypes, design partners, technical exploration, lightweight product experiments, or an initial shippable bet. - Establish a learning agenda that makes the biggest risks and unanswered questions explicit, and gives us a fast path to increasing or decreasing our conviction. - Align senior stakeholders around what we're testing, what we're not pursuing yet, and what evidence would cause us to change direction. WITHIN THE FIRST 6 MONTHS, YOU'LL: - Have shipped our first substantive user acquisition product bet, or generated enough evidence to decisively change or stop it before making a larger investment. - Have real evidence from the market about where RevenueCat can — and cannot — create differentiated value. - Be independently driving product discovery, prioritization, and execution for the user acquisition area. - Have developed an evidence-backed point of view on the most promising opportunities in the space and what capabilities RevenueCat would need to pursue them. - Have turned a broad strategic opportunity into an increasingly focused product direction. WITHIN THE FIRST 12 MONTHS, YOU'LL: - Have established a clear strategic direction for RevenueCat in user acquisition, supported by customer behavior and product evidence rather than thesis alone. - Have shipped meaningful products or experiments that either created measurable value for developers or materially changed our understanding of the opportunity—including changing or killing bets when the evidence didn’t support them. - Have a credible longer-term roadmap for turning the strongest early signals into a meaningful RevenueCat product area. - Be the primary IC product owner for User Acquisition and the internal domain expert on how app developers acquire, measure, and optimize users. - Have helped define how RevenueCat's monetization data, developer footprint, and advertising capabilities can work together to create a differentiated position in app growth. 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: Amsterdam Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. WHAT YOU'LL DO: - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT YOU'LL BRING: 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES: - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience COMPENSATION: €110,000-€185,000 base salary + equity Location: - Netherlands, Amsterdam - Remote with up to 25% travel Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: London Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. WHAT YOU'LL DO: - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT YOU'LL BRING: 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES: - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience COMPENSATION: £100,000-£165,000 base salary + equity Location: - UK, London - Remote with up to 25% travel Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Remote - Singapore Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. KEY RESPONSIBILITIES: - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT WE'RE LOOKING FOR REQUIRED EXPERIENCE 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES: - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience COMPENSATION: $185,000-$260,000 base salary + equity Location: - Singapore - Remote with up to 25% travel Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.