Вакансии

✅ Досвід у фармінгу Facebook-акаунтів від 1 року, бажано 2+ роки. ✅ Розуміння, як побудувати та організувати роботу farm-відділу.

-Выстроить централизованную систему IT-безопасности и управления инфраструктурой для всех юридических лиц группы компаний. -Управление доступами — разделение данных, дисков и папок по юридическим лицам, централизованная выдача и отключение доступов, контроль onboarding/offboarding.

Роль предполагает довольно широкую зону: разработка продуктовой стратегии, работа с крупными клиентами, ценообразование, выход на рынок и управление командой продактов. Ищем человека с опытом развития внешних b2b-продуктов, управления продактами (в команде будет 6 PM) и запуска решений, которыми клиенты пользуются и за которые платят.

Нужен опыт управления командой аналитиков, BI или Data от 3 лет и СИЛЬНАЯ ЭКСПЕРТИЗА В КОММЕРЧЕСКОЙ АНАЛИТИКЕ, ОСОБЕННО В ПРОДАЖАХ НА МАРКЕТПЛЕЙСАХ: АССОРТИМЕНТ, МАРЖИНАЛЬНОСТЬ, ЭФФЕКТИВНОСТЬ КАНАЛОВ И ДИНАМИКА ПРОДАЖ.

Shield AI is looking for a Staff IT Systems Engineer to lead regional ICT operations, infrastructure, cloud services, security controls, and compliance.

H Company is looking for a Brand Lead to relaunch its brand, build enterprise awareness, manage agencies, and lead the brand function.

Location: Bengaluru, India We are seeking an experienced NetSuite Tech Lead to support a major client project. This role requires strong hands-on development expertise combined with technical leadership, solution ownership, and delivery coordination. The ideal candidate will have deep knowledge of the full Software Development Life Cycle (SDLC), including requirements analysis, solution design, documentation, implementation, verification, and ongoing support. You will help drive technical decisions, guide implementation best practices, and leverage native NetSuite functionality to deliver scalable, efficient, and maintainable solutions. This position is intended for Hyderabad-based candidates who are available to work from the office. Lead NetSuite technical delivery across the full SDLC, including requirements analysis, design, documentation, implementation, testing, and support Own and guide technical solution design for NetSuite enhancements and integrations Maximize the use of native NetSuite functionality to build high-quality and performant solutions Support and mentor developers, ensuring adherence to best practices and delivery standards Collaborate closely with stakeholders, implementation teams, and senior leadership to improve operational efficiency Drive modernization of legacy NetSuite code and scripts Oversee API development, troubleshooting, and performance optimization Support automated deployment and release management for NetSuite objects, scripts, and configurations Contribute to workflow automation, business process improvements, and technical governance Strong experience as a NetSuite Developer, NetSuite Tech Lead, or in a similar role with hands-on technical ownership. Deep knowledge of REST APIs, including custom API development within NetSuite, along with the ability to troubleshoot and optimize API performance. Solid expertise with SuiteScript 1.0 and 2.0, SuiteTalk, SuiteCloud platform components, SuiteCloud CLI, and SDF. Experience using GitHub or similar version control systems for NetSuite development and deployment. Proven experience with automated deployment of NetSuite objects, scripts, and configurations. Strong ability to refactor and modernize legacy codebases, including migration from SuiteScript 1.0 to 2.0+. Experience mentoring developers or leading technical delivery streams Deep understanding of Order-to-Cash processes and experience customizing and automating NetSuite workflows. Experience with Revenue Recognition processes and automation Familiarity with NetSuite Advanced Revenue Management (ARM), including revenue arrangements and revenue plans Understanding of integrations with eCommerce platforms such as BigCommerce, Shopify, Magento Experience working in enterprise transformation or finance-related environments

Разработка эффективного, повторно используемого и надежного кода на .NET. Создание и поддержка масштабируемых микросервисов.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote About the problem space AI has changed what's possible in go-to-market, support, and business operations. The constraint is no longer "can we build it" — it's "can we deploy it into a real workflow, prove it made things better, and keep it working." Most companies are stuck at the demo stage: a lot of clever prompting, very little that runs reliably on Tuesday morning without someone watching it. This role exists to get us past that, everywhere outside of engineering. Little more about the team: You'll sit on the Data team, which is where this work belongs. Our team already operates at the seam between the business and its systems — we partner daily with RevOps, Customer Success, Sales, and Product, and we own the data infrastructure these workflows depend on. AI-in-the-business is a data problem with a model attached, and you'll have the pipelines, the warehouse, and the domain relationships already in place. What you'll do You are a senior individual contributor. Your job is to take business workflows that are slow, manual, or inconsistent, and make them fast, automated, and measurably better — then do it again, and leave behind enough shared scaffolding that the third one is easier than the first. Ship automated workflows end to end Partner with department leaders to identify the highest-leverage workflows in their orgs, and go deep enough on how the work actually happens to know where a model helps and where it doesn't. Define success before you build: cycle time, quality, cost, risk. Instrument it. Report on it honestly, including when the answer is "this didn't work." Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review where the stakes call for it, and ongoing monitoring. Iterate on adoption the way a product manager would: user research, documentation, and a real plan for getting people to use the thing. Build the shared substrate as you go Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control — derived from what real workflows needed, not designed in advance. Build on the Data team's existing infrastructure rather than standing up parallel systems. Co-own shared components with your counterpart in Engineering; identify dependencies early and bring them into partner roadmaps collaboratively. Make the company fluent Create templates, playbooks, and golden paths: prompt patterns, agent patterns, safety checklists, evaluation patterns. Run office hours, demos, and community-of-practice sessions that make adoption feel accessible rather than intimidating. Develop enablement material for distinct audiences — GTM, operations, leadership — from fundamentals through advanced workflows. Help people build judgment about AI: when to use it, when not to, and how to tell whether it worked. Keep it safe and governable Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy — so that employees have a clear, fast, safe path to experiment. Work with the Data team to apply our data classification standards to AI use cases: what data can be used for retrieval and context, and what audit trails are required when sensitive data flows through LLM pipelines. What you'll bring Deep experience shipping systems into real business workflows — you've owned something end to end, in production, that non-technical people depended on daily. Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, guardrails — plus the pragmatism to keep things shippable. The ability to learn someone else's job well enough to improve it. This role lives or dies on understanding how support, sales, or finance actually work. A track record of leading cross-functional initiatives without formal authority, bringing clarity, momentum, and crisp decision-making. Comfort navigating security, privacy, and compliance tradeoffs in real organizations: data classification, retention, access controls, vendor risk. Strong teaching instincts — you explain complex things simply, write clear docs, and meet people where they are. Demonstrated ability to stay current as the landscape shifts, and to change your mind in public when the evidence does. Nice to have SQL fluency and comfort in a modern data stack (dbt, a cloud warehouse, BI tooling). Experience with workflow automation or enterprise systems: case management, ticketing, CRM, knowledge bases. Familiarity with observability practices for AI systems: monitoring, quality signals, evaluation pipelines, cost and latency analysis. Change management experience across a distributed, multi-function company. Interest in external evangelism — writing, speaking, podcasts, peer groups. Base Salary based on level of experience $310,000 — $360,000 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote About the problem space AI has changed what's possible in go-to-market, support, and business operations. The constraint is no longer "can we build it" — it's "can we deploy it into a real workflow, prove it made things better, and keep it working." Most companies are stuck at the demo stage: a lot of clever prompting, very little that runs reliably on Tuesday morning without someone watching it. This role exists to get us past that, everywhere outside of engineering. Little more about the team: You'll sit on the Data team, which is where this work belongs. Our team already operates at the seam between the business and its systems — we partner daily with RevOps, Customer Success, Sales, and Product, and we own the data infrastructure these workflows depend on. AI-in-the-business is a data problem with a model attached, and you'll have the pipelines, the warehouse, and the domain relationships already in place. What you'll do You are a senior individual contributor. Your job is to take business workflows that are slow, manual, or inconsistent, and make them fast, automated, and measurably better — then do it again, and leave behind enough shared scaffolding that the third one is easier than the first. Ship automated workflows end to end Partner with department leaders to identify the highest-leverage workflows in their orgs, and go deep enough on how the work actually happens to know where a model helps and where it doesn't. Define success before you build: cycle time, quality, cost, risk. Instrument it. Report on it honestly, including when the answer is "this didn't work." Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review where the stakes call for it, and ongoing monitoring. Iterate on adoption the way a product manager would: user research, documentation, and a real plan for getting people to use the thing. Build the shared substrate as you go Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control — derived from what real workflows needed, not designed in advance. Build on the Data team's existing infrastructure rather than standing up parallel systems. Co-own shared components with your counterpart in Engineering; identify dependencies early and bring them into partner roadmaps collaboratively. Make the company fluent Create templates, playbooks, and golden paths: prompt patterns, agent patterns, safety checklists, evaluation patterns. Run office hours, demos, and community-of-practice sessions that make adoption feel accessible rather than intimidating. Develop enablement material for distinct audiences — GTM, operations, leadership — from fundamentals through advanced workflows. Help people build judgment about AI: when to use it, when not to, and how to tell whether it worked. Keep it safe and governable Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy — so that employees have a clear, fast, safe path to experiment. Work with the Data team to apply our data classification standards to AI use cases: what data can be used for retrieval and context, and what audit trails are required when sensitive data flows through LLM pipelines. What you'll bring Deep experience shipping systems into real business workflows — you've owned something end to end, in production, that non-technical people depended on daily. Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, guardrails — plus the pragmatism to keep things shippable. The ability to learn someone else's job well enough to improve it. This role lives or dies on understanding how support, sales, or finance actually work. A track record of leading cross-functional initiatives without formal authority, bringing clarity, momentum, and crisp decision-making. Comfort navigating security, privacy, and compliance tradeoffs in real organizations: data classification, retention, access controls, vendor risk. Strong teaching instincts — you explain complex things simply, write clear docs, and meet people where they are. Demonstrated ability to stay current as the landscape shifts, and to change your mind in public when the evidence does. Nice to have SQL fluency and comfort in a modern data stack (dbt, a cloud warehouse, BI tooling). Experience with workflow automation or enterprise systems: case management, ticketing, CRM, knowledge bases. Familiarity with observability practices for AI systems: monitoring, quality signals, evaluation pipelines, cost and latency analysis. Change management experience across a distributed, multi-function company. Interest in external evangelism — writing, speaking, podcasts, peer groups. Base Salary based on level of experience $225,000 — $265,000 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Chicago, IL, USA; San Francisco, CA, USA About the Role We are looking for an experienced Credit Risk Data Scientist who is data-driven, has strong analytical and technical skills, and operates with a high degree of ownership. In this role, you will lead the credit strategy that lets Chime lend to people before they have a relationship with us — starting with Instant Loans for new members (top of funnel) and expanding to future unsecured credit products such as credit cards. You'll develop risk policies and strategies to manage credit risk throughout the member lifecycle, and you'll work as a trusted cross-functional partner with product, growth, data engineering, machine learning, and analytics teams, interacting with business stakeholders across many departments. In this role, you can expect to Own credit strategy for new-to-Chime applicants across the member lifecycle, starting with Instant Loans for prospects (top of funnel) and extending to future unsecured products such as credit cards and/or lines of credit Develop and evolve channel-specific credit policies (pre-approval / prescreen, direct mail, open application, referrals, and affiliates) that support growth while balancing risk, unit economics, and member experience Design and continuously iterate acquisition, loan amount / line assignment, pricing, line management, repayment, and collections strategies Leverage credit bureau (e.g., Experian), alternative, and internal Chime data to underwrite applicants with no prior Chime relationship; build credit models and policies hands-on and in partnership with our DSML team Lead test-and-learn: design and read out champion/challenger tests and controlled ramps, and quantify trade-offs among approvals, losses, direct deposit conversion, and lifetime value Partner with Finance and Strategy to size new channels and forecast approval funnels, vintage losses, and unit economics; set launch criteria, guardrails, and expansion triggers Collaborate with data teams to build data infrastructure and early-read monitoring and dashboards (first payment default, delinquency, vintage and roll rates) that help senior management understand credit risk trends and exposures Work with cross-functional teams including DSML, Product, Design, Engineering, and Decision Platform to test and implement risk models and strategies in production, including accurate adverse action reasons Partner with Compliance, Legal, Fair Lending, Model Risk Management, Fraud, and our bank partners to document, approve, and govern credit policies Mentor and work collaboratively with other credit risk data scientists to develop strategies, share knowledge, and raise the team's analytical bar To thrive in this role, you have A Master's degree (required) in Statistics, Economics, Engineering, Math, Finance, Computer Science, or another quantitative discipline; a PhD is a plus 7+ years of analytical or data science experience in Financial Services, preferably at a FinTech company 4+ years of experience building and managing risk for unsecured credit products such as installment loans, lines of credit, or credit cards; acquisition / underwriting experience strongly preferred Hands-on experience with credit bureau data and prescreen, pre-approval, or direct mail credit programs Experience with credit furnishing, bankruptcies, delinquency, and write-off policies, and working knowledge of consumer lending regulation (FCRA, ECOA / Reg B, fair lending, adverse action) Excellent SQL and Python skills, advanced Microsoft Excel skills, and experience working in Looker or a similar business intelligence tool A strong grounding in statistics and machine learning for credit, including scorecards / gradient-boosted models, swap-set analysis, vintage analysis, and experiment design Hands-on, detail-oriented leader with exceptional communication skills who can explain a trade-off to executives and defend the math behind it Ability to work in a fast-paced, complex environment and meet ambitious deadlines while ensuring flawless completion A strong passion for Chime's mission and solving challenging analytical problems for the business Nice to have: subprime or near-prime lending, affiliate or marketplace lending, credit card line management, or cash-flow / alternative-data underwriting experience #LI-Onsite #LI-BE1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $152,000 — $210,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: New York City ABOUT PEEC AI AI search is changing how brands are discovered and chosen. People now ask ChatGPT, Gemini, Claude and Google’s AI answers what they used to search for, and AI assistants increasingly shape the journey from discovery to purchase. Winning customers now means winning over the AI systems that influence their decisions. Peec AI is an AI search platform that helps marketing teams understand and improve how their brands are discovered, represented, and recommended. We show them where they stand, what’s shaping it, and where to act. Since launching in January 2025, Peec AI has passed $20M ARR and 4,000 paying customers. We’re a Series A company backed by 20VC and Singular, with 100+ people across our Berlin HQ and our New York office. ABOUT THE ROLE We're looking for a Revenue Operations Lead to own the systems, data, and rhythm behind Peec's global revenue engine. We've grown from $0 to $20M ARR in 23 months on a motion that combines product-led signups with a fast-scaling sales team across Berlin and New York, and the operational layer now needs a single owner: one source of truth in the CRM, a forecast leadership can trust across both regions, and automation that lets a lean GTM team punch far above its weight. You'll report to our CRO and own revenue operations globally from our New York office, working daily with sales leadership in both regions and partnering closely with Growth and Finance. In your first quarter you'll take over the global HubSpot instance, stand up a forecasting cadence that covers North America and EMEA, and ship the funnel reporting that shows us where deals are won, stall, and die. This is a builder role with real ownership: the systems you design become how Peec sells. WHAT YOU'LL OWN - How the revenue team works: territories, account ownership, lead routing and attribution. For example, deciding when an account belongs to a rep and when it goes back to the pool, then making the CRM enforce it - Reporting: pipeline, forecast and numbers per rep. For example, an outbound pipeline number the sales team can be measured and paid on, without arguments - Comp and commissions: plans set up in the tooling, monthly runs that match the CRM, and clear answers for reps - Quote-to-cash: offer, signature, billing and the handover to Customer Success - Data model: one source of truth across CRM, billing and product - Tools and roadmap: you choose, run and simplify the revenue tools, and keep a roadmap with owners and dates - Launch discipline: every change ships with a clear rule, a test, an owner and communication to the people it affects WHAT WE'RE LOOKING FOR - You've built or led a RevOps function at a fast-growing B2B SaaS company, ideally with both self-serve and sales-led motions, and can teach us how it's done - You've owned a function, not just worked through a backlog - Deep, hands-on HubSpot: workflows, data model, reporting, and you still build things yourself - Strong project management: you turn a loose brief into a plan, bring the right people together and deliver - Commercial judgment: you understand the sales problem behind a request, not just the ticket - Comfortable with data: SQL or a BI tool, plus a working understanding of APIs and automations - Based in New York, or ready to relocate, and excited to be in the office five days a week HOW YOU WORK - You finish what you start, without being chased - High rigor: you check your own work, especially AI-assisted work, and say what you're unsure about - You propose rather than ask: you find answers yourself and bring structure instead of waiting for it - You raise problems early, before others find them - You close loops: a short weekly written update, and every missed deadline gets a new date or is dropped with a reason - You stand behind your numbers: you present to leadership and finance yourself and can explain every figure - You build relationships with sales leaders, CX and finance unprompted - You take fast feedback well and act on it BONUS POINTS - Experience building a RevOps function from scratch, or owning a remit that spans regions - Experience working across time zones with a European HQ - Exposure to PLG funnels and product usage data in a sales-assist motion - Familiarity with Stripe, billing, or CPQ workflows and deal desk operations - SQL skills for pulling your own answers out of the data WHAT WE OFFER - Competitive salary and meaningful equity: everyone at Peec owns a piece of the upside - Comprehensive benefits package - Collaborative, high-energy in-office work environment - Opportunity to make a significant impact and define a new market category EEOC STATEMENT: Peec AI is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law. COMPENSATION: The salary range for this position is $150,000 to $240,000. Actual compensation within this range will be determined based on factors including the candidate's experience, skills, qualifications, and location, in accordance with applicable New York law.

Location: Berlin Workplace: OnSite ABOUT PEEC AI AI search is changing how brands are discovered and chosen. People now ask ChatGPT, Gemini, Claude and Google’s AI answers what they used to search for, and AI assistants increasingly shape the journey from discovery to purchase. Winning customers now means winning over the AI systems that influence their decisions. Peec AI is an AI search platform that helps marketing teams understand and improve how their brands are discovered, represented, and recommended. We show them where they stand, what’s shaping it, and where to act. Since launching in January 2025, Peec AI has passed $20M ARR and 4,000 paying customers. We’re a Series A company backed by 20VC and Singular, with 100+ people across our Berlin HQ and our New York office. ABOUT THE ROLE We're looking for a Revenue Operations Lead to own the systems, data, and rhythm behind Peec's global revenue engine. We've grown from $0 to $20M ARR in 23 months on a motion that combines product-led signups with a fast-scaling sales team across Berlin and New York, and the operational layer now needs a single owner: one source of truth in the CRM, a forecast leadership can trust across both regions, and automation that lets a lean GTM team punch far above its weight. You'll report to our CRO and own revenue operations globally from our Berlin HQ, working daily with sales leadership in both regions and partnering closely with Growth and Finance. In your first quarter you'll take over the global HubSpot instance, stand up a forecasting cadence that covers North America and EMEA, and ship the funnel reporting that shows us where deals are won, stall, and die. This is a builder role with real ownership: the systems you design become how Peec sells. WHAT YOU’LL OWN - How the revenue team works: territories, account ownership, lead routing and attribution. For example, deciding when an account belongs to a rep and when it goes back to the pool, then making the CRM enforce it - Reporting: pipeline, forecast and numbers per rep. For example, an outbound pipeline number the sales team can be measured and paid on, without arguments - Comp and commissions: plans set up in the tooling, monthly runs that match the CRM, and clear answers for reps - Quote-to-cash: offer, signature, billing and the handover to Customer Success - Data model: one source of truth across CRM, billing and product - Tools and roadmap: you choose, run and simplify the revenue tools, and keep a roadmap with owners and dates - Launch discipline: every change ships with a clear rule, a test, an owner and communication to the people it affects WHAT WE’RE LOOKING FOR - You’ve built or led a RevOps function at a fast-growing B2B SaaS company, ideally with both self-serve and sales-led motions, and can teach us how it’s done - You’ve owned a function, not just worked through a backlog - Deep, hands-on HubSpot: workflows, data model, reporting, and you still build things yourself - Strong project management: you turn a loose brief into a plan, bring the right people together and deliver - Commercial judgment: you understand the sales problem behind a request, not just the ticket - Comfortable with data: SQL or a BI tool, plus a working understanding of APIs and automations - Based in Berlin, or ready to relocate, and excited to be in the office five days a week HOW YOU WORK - You finish what you start, without being chased - High rigor: you check your own work, especially AI-assisted work, and say what you’re unsure about - You propose rather than ask: you find answers yourself and bring structure instead of waiting for it - You raise problems early, before others find them - You close loops: a short weekly written update, and every missed deadline gets a new date or is dropped with a reason - You stand behind your numbers: you present to leadership and finance yourself and can explain every figure - You build relationships with sales leaders, CX and finance unprompted - You take fast feedback well and act on it BONUS POINTS - Experience building a RevOps function from scratch, or owning a remit that spans regions - Exposure to PLG funnels and product usage data in a sales-assist motion - Familiarity with Stripe, billing, or CPQ workflows and deal desk operations - SQL skills for pulling your own answers out of the data WHAT WE OFFER - Competitive salary and meaningful equity: everyone at Peec owns a piece of the upside - Comprehensive benefits package - Collaborative, high-energy in-office work environment - Opportunity to make a significant impact and define a new market category - Regular team events and off-sites - Paid meal & Uber home when working late

Location: San Francisco, CA | New York City, NY 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 Claude Partner Network (CPN) Reseller track lets authorized partners sell Claude directly to end customers. These partners bring Claude into accounts that Anthropic can't reach alone, and they need marketing that helps them build a real Claude practice: campaigns they can run with their own teams, funding they can put to work, and proof that moves them up through the partner tiers. This is a foundational, first-in-seat role with wide scope. You'll be the first dedicated partner marketer for the reseller track, and you'll lead it globally. You'll set its marketing strategy, define the standards and playbooks partners run against, and build the tier-advancement path from the ground up. You'll work across regions and with a network of agency partners to deliver programs at global scale. You'll shape how reseller marketing fits into Anthropic's broader partner strategy, working with Partnerships, Commercial Operations, Channel Account Managers, Partner Operations, Customer Marketing, and Communications to make sure reseller activity and Anthropic's direct sales point in the same direction. You'll also set the bar for the marketers who join the practice as it grows. Key responsibilities Set the marketing strategy for the reseller track, including priorities, investment choices, and quarterly and annual plans that connect partner activity to registered pipeline and reseller revenue Define the reseller marketing playbook and co-marketing standards, and keep them current as the program launches and expands Represent the partner marketing perspective in program design, working with Partnerships, Commercial Operations, and Legal on how benefits, MDF, and tier criteria will work in practice Build joint marketing plan templates for reseller partners, including campaign calendars and success metrics Source, select, and manage the agency partners that support reseller programs globally, including scope, budgets, quality standards, and performance reviews, and build a regional roster that can scale as the program expands Run partner-led campaigns with those agencies, using co-branded and localized kits for each market, and help partners adapt them for their own buyers Own partner marketing funds (MDF) end to end: help partners build proposals, track approvals and documentation, and connect every funded activity to registered pipeline Help partners reach their next tier by planning the customer stories, certification pushes, and public proof points each tier requires, on a timeline that fits the January and July tier reviews Turn partner wins into customer stories with Customer Marketing, from interview through partner and Anthropic approvals Coordinate joint announcements and press with Anthropic Communications, managing review timelines and holding partner copy to Anthropic's messaging and brand standards Partner with Channel Account Managers and the field on audience and account targeting, so reseller campaigns extend Anthropic’s reach into new customers and partner and direct motions reinforce each other Define how reseller marketing success is measured: set targets and KPIs for pipeline, reseller revenue, and campaign ROI, build the reporting, and use results to decide where to invest and what to change Report on partner-sourced pipeline and reseller revenue influence, with 30/60/90-day tracking on every activation Keep reseller partners informed through the CPN monthly broadcast and newsletter, and bring partner needs and results back into program planning Minimum qualifications Have owned marketing strategy for a partner or channel program, setting priorities and investment decisions rather than only executing against them Have built and run co-marketing programs with channel, reseller, or distribution partners, including partner-funded budgets (MDF, co-op, or similar) and ROI reporting Have sourced and managed agencies or contractors across multiple regions, including scoping work, managing budgets, and holding quality standards Have run marketing programs across multiple international markets Understand indirect sales motions, including how partners find, register, and close deals, and can write marketing that reaches partner sellers as well as end customers Can build joint plans and value propositions that articulate clear business outcomes for customers Have defined success measures for a partner or channel program and used the results to change investment decisions Are skilled at tracking program performance in a CRM or equivalent system, and can turn that data into clear recommendations Write clearly and precisely, and can hold partner-produced copy to brand and approval standards Build trusted relationships with partner marketing and sales teams, and can move priorities forward with partners you don't manage Can make and defend decisions with incomplete data, and know when to escalate Are highly organized and can run several partner plans at once without dropping quality Are comfortable building new processes from scratch, in an environment where the playbook is still being written Take ownership of outcomes and step in wherever the work needs you Care about the societal impacts of AI and are excited about enabling organizations to adopt AI responsibly Preferred qualifications Have 7+ years of marketing experience, with significant focus on partner marketing in B2B technology environments Have launched or scaled a partner program from its early stages, including tier design, benefits, and promotion criteria Have produced partner-led customer stories, including managing approvals and public announcement timelines Have experience with cloud marketplace reseller motions, such as private offers or co-sell programs Have localized marketing content and campaigns for multiple international markets Have established relationships with resellers, distributors, or systems integrators Have experience with partner relationship management tools and Salesforce partner data Understand enterprise AI use cases across industries and functions Have set standards for or mentored other marketers, formally or informally Have used Claude or other AI tools to scale their own marketing work 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: $320,000 — $400,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.

Responsibilities: — Develop partnerships with Payment Service Providers — Drive referrals and onboarding of merchants — Position Atlas as the preferred banking partner for global merchant settlement — Own the full sales cycle: prospecting, discovery, product demos, negotiations, and closing — Maintain accurate pipeline forecasting and CRM hygiene Requirements: — Strong network within payments and fintech ecosystem — 3+ years of experience in B2B sales — Strong partnership-building ability — Understanding of financial workflows for small and mid-sized businesses — Both strategic and hands-on; able to shape approach and execute directly on opportunities — Experience in fast-paced, high-growth environments — Excellent written and verbal communication skills Benefits: — Monthly retainer ($1k USDC) — Commission structure with high earning potential (Our highest performer earned over $500k last year) — High-autonomy, ownership-driven culture — Potential for equity and full-time role

Задачи: — управление набором агентов — проведение обучения агентов — обеспечение соблюдения нормативных требований — контроль производительности сети агентов — организация полевых операций в пределах территории

Shield AI ищет руководителя инженерного отдела по воздушным аппаратам, который будет отвечать за проектирование, интеграцию, испытания, управление техническими рисками и подготовку производства летательных аппаратов. Кандидат должен обладать опытом в таких областях, как цепочки поставок, дизайн воздушных судов, управление поставщиками, системная интеграция, производство, аэрокосмическая инженерия, наука о полёте, управление рисками, летные испытания, верификация и валидация, управление полётом, аэродинамика, двигатели, качество, конструкция и авионика.

Задачи: — формировать и реализовывать SMM-стратегию Super.ru, развивать бренд в digital; — отвечать за ведение и развитие социальных сетей и мессенджеров проекта; — управлять SMM-командой: ставить задачи, выстраивать процессы, контролировать сроки и качество; — искать и тестировать новые форматы, механики и идеи, которые помогают увеличивать охваты и вовлечённость аудитории; — следить за трендами и адаптировать их под Super.ru; — анализировать показатели площадок и контента, находить точки роста; — формировать регулярную отчётность и на основе данных корректировать стратегию. Требования: — опыт работы в SMM от 3 лет, из них от 1 года на руководящей позиции; — понимание специфики, функционала и алгоритмов разных социальных сетей и мессенджеров; — умение писать и редактировать тексты в соответствии с Tone of Voice бренда; — уверенная работа с фото- и видеоредакторами; — опыт работы с инструментами аналитики (желательно Jaga Jam и аналогичными сервисами); — умение работать с данными и превращать аналитику в конкретные решения; — сильная насмотренность, креативность и способность находить свежие подходы к подаче контента; — системность и умение выстраивать работу сразу по нескольким направлениям; — лидерские качества и опыт управления командой. Условия: — график работы: 5/2, в соответствии с ТК РФ; — заработная плата обсуждается индивидуально на собеседовании; — годовой бонус по результатам работы; — доплата за больничные и отпуска; — зоны отдыха; — гастрономический вайб по пятницам и фруктовые дни по понедельникам; — вкусный кофе и перекусы на кухне (печенья, сухие завтраки); — развитая корпоративная культура.