Вакансии

We are looking for a Staff Compensation & Data Analyst (IC4) to serve as the subject matter expert at the intersection of quantitative analysis, compensation strategy, HR technology, and AI-assisted analytics.

Зарплата не указана

This role is responsible for translating Compass’s medical strategy into effective field activities, overseeing MSL operations across a defined region, and ensuring consistent, high-quality scientific exchange with external stakeholders.

55 000 – 90 000 $

to help grow our sales pipeline and introduce prospective customers to the Enterprise Team at Doximity. As a BDR, you’ll be responsible for identifying and engaging potential customers, understanding their business needs, and creating qualified opportunities for our New Business Sales Team.

64 800 – 93 680 $

What you'll do: Own the full sales cycle with new advertisers globally — from lead qualification to signed contract and first integration. Deliver quarterly and annual targets on revenue and number of onboarded advertisers. Build and defend commercial terms: commission rates, tech fees, minimum budgets, in line with margin goals. Maintain a transparent pipeline and reliable forecast for leadership. Partner with account management, publisher, legal and finance teams to launch client programs fast, and feed market and competitor insights to product. What we expect: 5+ years in B2B sales within affiliate/performance marketing, AdTech, or MarTech, with a proven track record of closing deals with international brands and e-commerce enterprise clients. Deep understanding of CPA/CPS models, attribution, and tracking — fully fluent in key metrics including ROAS, CAC, and incrementality. Proven full-cycle hunting experience, including self-generated pipelines, direct access to Head of Performance / CMO-level decision-makers, and managing long sales cycles. Fluent English (C1+) for high-level negotiations; a second language relevant to target regions is a strong plus. Disciplined approach to CRM management and accurate forecasting, with a readiness to travel and represent the company at key industry events. We offer: Work in the international company. Hybrid working format (office/home office). Corporate education — courses and trainings, meetups and conferences. Voluntary health insurance after probation period. We promote healthy lifestyle and encourage employees by special fitness reimbursement policy. Effective onboarding program for a better start. Corporate events and team buildings.

Зарплата не указана

— оформлять и выкладывать сторис. — отбирать материал из нашей базы.

Зарплата не указана

About The Role ✍️ We’re hiring a Technical Lead Manager to lead a cross-functional product squad, combining hands-on technical leadership with people management. You’ll lead a team of 4–5 engineers, working closely with Product, Design, Data and other technical leaders to build products that improve our users’ financial health.

Зарплата не указана

6–10 years of Salesforce administration and development experience with platform ownership responsibilities. Expert-level Salesforce Flow experience.

Зарплата не указана

RichAds — рекламная платформа, предлагающая форматы push, popunder, direct click, pre-roll и собственные источники трафика. Удалённая работа.

Зарплата не указана

Own positioning, messaging, and go-to-market for our products. Sit at the intersection of Product, Sales, Marketing, Delivery, and Customer Success — translating complex fintech tech into business value.

5 000 – 5 000 $

Задачи: — запуск и ведение рекламных кампаний в Yandex Direct; — генерация стабильных качественных лидов; — поиск, тестирование и масштабирование прибыльных связок; — ежедневная и еженедельная отчётность. Требования: — актуальный (недавний) личный опыт работы с Яндекс.Директ; — дневной бюджет (спенд) от 800–1000 долларов; — полное понимание процесса от прогрева аккаунтов до масштабирования; — опыт автоперегона кампаний из Яндекс в Max. Условия: — удалённый формат работы, график 5/2; — фиксированная ставка плюс процент от спенда; — готовность подписать NDA; — возможность реального карьерного роста до Team Lead.

Зарплата не указана

Задачи: — запуск и ведение рекламных кампаний в Yandex Direct; — генерация стабильных качественных лидов; — поиск, тестирование и масштабирование прибыльных связок; — ежедневная и еженедельная отчётность. Требования: — актуальный (недавний) личный опыт работы с Яндекс.Директ; — дневной бюджет (спенд) от 800–1000 долларов; — полное понимание процесса от прогрева аккаунтов до масштабирования; — опыт автоперегона кампаний из Яндекс в Max. Условия: — удалённый формат работы, 5 дней в неделю; — фиксированная ставка плюс процент от бюджета; — готовность подписать NDA; — возможность реального карьерного роста до Team Lead.

Зарплата не указана

About ActAI There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting. Our application focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. We believe products will greatly reduce hallucinations. Our objective is to organise anyone's life. Role As a Web Frontend Engineer, you will build the core web experiences, including Chat, Notes, Calendar, Docs and Sheets. You will own complex, highly interactive product surfaces from architecture through implementation, working closely with product, design, backend and AI engineers to make AI a native part of how users communicate, write, organise and work. What You'll Own Build major web experiences across Chat, Notes, Calendar, Docs, and Sheets. Develop complex interactions including real-time messaging, collaborative editing, rich-text editing, scheduling, tables, and spreadsheets. Build reusable frontend architecture and components that work consistently across ActAI applications. Integrate streaming AI responses, proactive actions, and model-driven experiences directly into product workflows. Own frontend performance, responsiveness, reliability and accessibility across browsers and devices. Work closely with product and design to take ideas from prototype to production quickly. What We're Looking For Strong experience building complex, production web applications using React, TypeScript and modern frontend technologies. Deep understanding of frontend architecture, state management, browser APIs, and performance. Experience building highly interactive products such as chat, collaboration, productivity, document editing, calendars, or workspaces. Experience with real-time systems, WebSockets, streaming APIs, or collaborative interfaces. Strong product and UI judgment with attention to interaction details. Able to independently own features from technical design through production. Outcomes Users can communicate, write, organise and collaborate seamlessly across Chat, Notes, Calendar, Docs and Sheets. Complex interactions such as group messaging, editing, scheduling and collaboration feel fast and reliable. AI capabilities are integrated naturally into product workflows rather than added as separate chatbot experiences. Frontend architecture remains fast, maintainable and reusable as ActAI expands into new applications and workflows. Tech Stack TypeScript React.js / Next.js HTML / CSS WebSockets / streaming APIs Node.js REST / GraphQL APIs How We Work The best products today in the world were built by small, world-class teams. We are a high talent density and hands-on team. We make decisions collectively and move at rapid speed, striking a balance between shipping high-quality work and learning. Joining our team requires the ability to bring structure, exercise judgment and execute independently. Our goal is to put in the hands of our users a truly magical product. Interview Process If there appears to be a fit, we'll reach out to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us and help bring practical AI benefits to billions of users globally.

Задачи: — Управлять influence-командой и отвечать за результат направления. — Проводить регулярные синки, контролировать загрузку, качество работы и выполнение планов. — Обучать менеджеров, развивать их экспертизу и помогать расти внутри команды. — Выстраивать работу с инфлюенсерами на глобальных рынках Tier 1 и 2. — Искать и оценивать креаторов через YouTube, TikTok, Reels и другие площадки. — Вести переговоры, аниматься прайсингом и работать с CPA, Fixed, RevShare. — Планировать размещения, распределять бюджеты и контролировать эффективность кампаний. — Готовить брифы, контролировать креативы, интеграции и качество размещений. — Анализировать результаты, атрибуцию и ключевые performance-метрики. — Развивать базу инфлюенсеров, агентств и партнеров на глобальных рынках. — Улучшать процессы команды и масштабировать рабочие подходы. Требования: — Опыт работы Team Lead / Lead в influence-маркетинге high-risk продуктов. — Практический опыт управления и развития команды influence-менеджеров. — Сильные people-management навыки: регулярный контроль, обратная связь, обучение и развитие сотрудников. — Hands-on подход: готовность самостоятельно искать креаторов, вести переговоры и подключаться к операционной работе. — Реальный опыт работы с глобальными рынками, желательно Tier 1 и 2. — Опыт международного outreach: поиск базы, коммуникация через email и прямые контакты. — Управление influence-бюджетом от $50k в месяц / объемом от 300 интеграций в месяц. — Практический опыт работы с YouTube, Reels, TikTok и Twitch. — Понимание ключевых метрик: FTD, CAC, ROAS, LTV и attribution windows. — Английский язык от B2 для самостоятельной коммуникации с международными партнерами. Будет плюсом: — Любовь к киберспорту, личный игровой опыт в CS2 / Dota 2. — Опыт автоматизации командной рутины через no-code / low-code / AI. — Опыт работы как на стороне агентства, так и на стороне продукта. Условия: — Работа напрямую с CMO и возможность влиять на развитие направления. — Фокус на международные рынки и масштабирование глобального influence-маркетинга. — Большой объем тестов через YouTube, TikTok, Reels, агентства и direct creators. — ЗП: фиксированный оклад + квартальный бонус. — График фултайм, удаленный формат работы. — 28 дней отпуска + оплачиваемые sick days.

Зарплата не указана

Anthropic Fellows Program overview: The program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on projects aligned with Anthropic's research priorities, aiming to produce a public output like a paper submission. Multiple cohorts run each year with rolling application reviews. What to expect: — 4 months of full-time research — Direct mentorship from Anthropic researchers — Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits varying by country — Funding for compute (~$15k/month) and other research expenses Interview process: Includes initial application and reference check, assessments and interviews, and a research discussion. Compensation: Expected base stipend is 3,850 USD / 2,310 GBP / 4,300 CAD per week for 40 hours per week over 4 months, with possible extension. The Anthropic Institute Fellows (Economics & Policy): Mentors and research areas include Economics (Maxim Massenkoff, Peter McCrory) and Policy, Security, and Society (Jack Clark, Marina Favaro, Jim Baker). Projects may include: — Designing and conducting empirical research on AI's economic effects using external data sources — Developing new methodological approaches for studying AI's impact on labor markets, future of work, and society — Analyzing offense–defense balance for AI-enabled cyber and bio capabilities as models scale — Measuring model performance increases with custom harnesses — Identifying market-driven mechanisms to improve societal resilience to AI threats — Identifying AI R&D metrics as early warning signals for recursive self-improvement Candidate criteria: — Interest in economics or policy research; prior experience is a plus but not required — Adaptable and collaborative, able to take direction and contribute to team priorities — Skilled at writing and communicating results, including null or unexpected findings — Passionate about translating research insights into actionable recommendations for AI systems and policy Good fit if: — Motivated to ensure AI is safe and beneficial for society — Interested in transitioning into AI research and possibly a full-time role at Anthropic — Strong track record of empirical research — Thrives in fast-paced, collaborative environments — Can implement ideas quickly and communicate clearly Requirements: — Fluent in Python programming — Available full-time for the Fellows program Logistics: — Must have work authorization and be located in the US, UK, or Canada during the program — Workspace available in San Francisco; remote fellows accepted in UK, US, or Canada — No visa sponsorship available; candidates must have or obtain full-time work authorization independently — Program duration is 4 months full-time; partial commitments considered case-by-case Additional notes: — The program encourages applications from underrepresented groups and those who may doubt their qualifications. — Anthropic is a public benefit corporation headquartered in San Francisco offering competitive compensation, benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration. — Candidates should be cautious of scams and only trust communications from @anthropic.com email addresses.

Anthropic Fellows Program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on empirical projects aligned with Anthropic's research priorities, aiming to produce public outputs like paper submissions. The program runs multiple cohorts yearly with rolling application reviews, expecting a start in January 2027 but flexible start dates can be requested. The program includes 4 months of full-time research, direct mentorship from Anthropic researchers, access to a shared workspace, connection to the AI safety and security research community, a weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits varying by country, and funding for compute (~$15k/month) and other research expenses. The interview process involves an initial application and reference check, technical assessments and interviews, and a research discussion. Applicants are encouraged to apply even if they do not meet every qualification, with emphasis on diversity and inclusion. There are two main fellow tracks: ML Systems & Performance Fellows: - Mentors include Alwin Peng and Zygi Straznickas. - Projects may involve building CPU simulators for accelerator workloads, adding backends for accelerators on open source projects, building on-demand infrastructure, and creating complex synthetic data or environment pipelines. - Candidates should have strong software engineering skills, experience with complex ML systems, ability to balance research and engineering rigor, comfort with large-scale distributed systems and high-performance computing, experience with training or evaluating large language models, and skills in analyzing and debugging model training. - Fluency in Python and full-time availability are required. Reinforcement Learning Fellows: - Mentors include Ruhua Jiang, Kaidi Cao, Sunny Duan, David Brandfonbrener, Colt Steele, Dino Distefano, and Will Williams. - Projects may include building model-based tools to understand and improve AI training data, research on generalization, creating RL environments to improve Claude models and safety-related tasks, and research and implementation of RL algorithms. - Candidate criteria are similar to ML Systems Fellows. Logistics: - Participants must have work authorization and be located in the US, UK, or Canada during the program. - Shared workspaces are available in San Francisco; remote participation is allowed in the UK, US, or Canada. - Visa sponsorship is not provided; candidates must have or obtain full-time work authorization independently. - The program duration is 4 months full-time, with possible extensions and flexibility for partial commitments. Additional notes: - No guarantee of full-time offers post-program, though strong performers may receive offers or continue impactful AI safety work elsewhere. - Anthropic's full-time role policies do not apply to the Fellows Program. - The company emphasizes collaborative, large-scale AI research with a focus on safety, interpretability, and steerability. - Candidates must be fluent in Python and able to commit full-time. - The program values diversity and encourages applications from underrepresented groups. - Safety advice is provided regarding recruitment communications. Apply at the provided link.

About Magic Eden and Dicey Magic Eden reached unicorn status in just 9 months after launch, one of the fastest in history. They built a category-defining NFT marketplace from scratch and are now developing Dicey, a crypto casino and sportsbook platform targeting the $180B+ iGaming and sports betting markets. The team is small and fully remote, focusing on fast shipping, data-driven decisions, and rebuilding growth operations around AI. The role The position focuses on personalized retention in the iGaming industry, owning the full post-signup journey. Responsibilities include expanding the player segmentation framework, designing and running targeted offers and campaigns, and managing the associated P&L lever. The role is explicitly AI-native, involving building workflows, agents, and pipelines to run lifecycle campaigns efficiently. Half the job is problem identification, the other half is running experiments to find solutions. What you'll do — Own retention and monetization as a growth loop, setting targets, finding leverage, and driving post-signup metrics — Own and evolve the player segmentation framework, deciding signals and company usage — Build the AI-native growth stack including analysis, agents, and automated pipelines for segment surfacing, offer generation, and campaign execution — Design and ship targeted offers such as reload bonuses, lossback, wager bounties, challenges, and win-back sequences; size, specify, ship, and measure them — Analyze data warehouse and on-chain data to find patterns and create campaigns proactively — Expand player signals including on-chain activity, status-match programs, social account linking, and others — Run campaigns across channels like email, in-app, Telegram, with AI handling heavy lifting — Collaborate with engineering and design to create product surfaces that enable repeatable processes What they're looking for — Strong intuition for player psychology and incentive design; experience in gambling, gaming, fintech, or consumer marketplaces is helpful — Deep analytical skills, able to independently perform cohort analyses without waiting for data scientists — AI-native mindset, already using AI to write queries, build analyses, and automate work, with desire to advance further — High output with good judgment, generating many ideas and prioritizing tests effectively — Bias to do it yourself, comfortable executing emails, queries, and specs personally — Comfortable with ambiguity and building new playbooks Backgrounds that tend to fit — Growth PM at data-heavy consumer companies — MBB consultants transitioning to product ownership — Product-minded data scientists or analysts focused on shipping rather than reporting Why this is interesting — Competitive, top-of-market compensation — Defining the role of a growth PM in an AI-native company without existing playbooks — Early involvement in personalized retention, a key industry trend — Real ownership of segmentation framework, product surface, and P&L lever with direct access to founders

About the role Rove Next is a new premium line from Rove Concepts, a Vancouver-based modern furniture brand selling direct to consumer across Canada and the US. Rove Next launches with improved versions of best-selling pieces and needs its own marketing built from the ground up. The role involves owning how Rove Next reaches and retains customers, focusing on email and lifecycle marketing. The goal is to scale marketing through AI and systems rather than headcount, building a clean function rather than inheriting one. This is not a coordination role but requires problem-solving and proactive management. Scope Initially focused on Rove Next, with potential to expand across the Rove Concepts group as the brand grows. What you'll own — Email and lifecycle as the primary owned channel, including campaign calendar, flows, segmentation, deliverability, and list health, using Klaviyo. — Quality control on all outgoing materials: copy, creative, link destinations, offers, regional versions, ensuring errors are caught before shipping. — Building AI into daily work, shipping AI solutions rather than just proposing them. — Collaborating with lifecycle and email team, designers, and external ads partner to maintain the campaign calendar. — Translating marketing results into clear business language, explaining spend, revenue, and recommendations. Must-haves — Five or more years in ecommerce or DTC marketing with real ownership of email and lifecycle marketing, experience with Klaviyo or comparable ESP. — Demonstrated ability to build AI workflows independently and solve problems proactively. — Fluent, native-level English, both written and spoken, capable of writing premium-sounding copy. — Strong attention to detail, able to assess assets for alignment with promises, tone, and offer accuracy. — Comfortable receiving and giving feedback about campaign effectiveness. Nice to have — Experience in furniture, home, or other considered-purchase categories with long buying cycles. — Familiarity with Shopify, GA4, and Meta Ads. — Experience enforcing brand guidelines within a team. What success looks like — Growth of flow revenue as a share of total email revenue. — Reduction of errors reaching leadership. — AI integrated and producing measurable results within 90 days. Compensation $3,500 to $4,500 USD per month depending on experience, independent contractor. How to apply Send CV to talent@rovenext.com with two examples: one AI workflow or automation built and its impact, and one instance of catching an error before shipping. Include a short voice note introducing yourself and what you'd want to know before writing your first email. Shortlisted candidates will complete a short paid project.

What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 5M endpoints and 11M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. What You'll Do: In this role, you will turn targeted outreach into qualified conversations with security and IT decision-makers. You will build trust with internal IT teams and channel partners by asking clear questions, following up honestly, and learning what matters to each prospect. You will bring Warrior Spirit to a quota-driven role by staying resilient through changing priorities and the daily work of building pipeline. You will Give a $h*t about the details that move opportunities forward, from thoughtful outreach and timely follow-up to accurate CRM data and a clear understanding of how Huntress helps customers and partners stay protected. Responsibilities: Prospect internal IT departments with 50 to 3,000 employees through phone, email, and LinkedIn. Establish trust and rapport with channel partners through phone, email, and LinkedIn while learning about their solutions, team composition, territories, and ideal customer profile. Work collaboratively with the team to create outbound prospecting strategies for channel partners and mid-market internal IT departments. Develop and manage contact and opportunity pipelines, ensuring timely follow-up on both. Work closely with the Account Executive team to set demos, assist with closing deals, and build a passionate understanding of Huntress products, our human-led SOC, monthly educational webinars, and competitor offerings. Meet and exceed monthly, quarterly, and annual sales quotas while maintaining accurate prospect and opportunity data in Salesforce and documenting all interactions. Explore practical AI tools to support prospect research, outreach preparation, account prioritization, and follow-up while applying sound judgment to the work. What You Bring to the Team: You have 1+ year of outbound calling experience, preferably in cybersecurity, technology, or SaaS solutions, with a proven track record of success. You have knowledge of cybersecurity solutions, including endpoint security. You communicate clearly and effectively in both written and verbal conversations. You can work independently and stay organized in a remote environment. You have experience using Salesforce and sales engagement tools such as LinkedIn, Outreach, and Sales Navigator. Familiarity with the VAR and reseller community is a bonus. You are excited to explore AI and use it to work faster and smarter, with good judgment about when and how to apply it. What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com. Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights.