Вакансии

🟥Поиск и привлечение новых спонсоров и коммерческих партнёров. 🟥 Выход на потенциальных клиентов и развитие собственной базы контактов.

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The System & Infrastructure Administrator is responsible for the day-to-day administration, support, security, and reliable operation of the company’s corporate IT environment.

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We're hiring a Channel Marketing Manager to own partner marketing end-to-end — from partner onboarding and enablement to demand generation and events — across MSP, reseller, and VAR motions, prioritizing effort based on revenue potential and business urgency rather than spreading evenly across all three.

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Lead and develop a team of Renewal Managers, providing coaching, commercial guidance, and clear direction to drive strong customer and business outcomes. Own renewal performance across the portfolio, with accountability for Gross Revenue Retention, renewal rate, churn and contraction outcomes, and on-time renewal execution.

150 000 – 170 000 $

About the Role As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes.

275 000 – 380 000 $

Responsibilities Hire, develop, and retain a team of TDLs embedded in engagements across EMEA. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interview loop that holds that bar.

190 000 – 230 000 GBP

What you will be doing: Event Program Management:

135 000 – 150 000 $

🔵Administer Windows and Linux infrastructure, workstations and open-source services. 🔵Manage identity, access permissions and device configuration, including mobile device management (MDM).

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Our Client Advisors turn inbound interest from small- and medium-sized businesses into Toptal clients. You will be the first conversation a prospective client has with Toptal.

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British workforce solutions & recruitment company is looking for a Legal Counsel with hands-on Employment Law & employment claims experience. 🔹 Employment disputes & claims.

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Key Responsibilities The successful candidate will be responsible for supporting and overseeing communication activities, ensuring high-quality delivery and smooth coordination of media and communication initiatives. Right to Work, Location & Sponsorship We welcome applications from candidates based anywhere in the world.

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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 $

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.

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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.

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Tines is hiring a Deal Desk Analyst reporting to the Revenue Operations organization. The role involves managing day-to-day deal operations including processing deals, creating and managing quotes, order forms, and amendments in CPQ accurately and within SLA. The analyst will route approvals through the approval matrix, track status, and engage the right approvers to keep cycle times low. They will support sales reps by being the first point of contact for pricing, packaging, and process questions, advising on alternate contract options to drive deal closure. Maintaining deal hygiene and accurate opportunity and quote data in Salesforce is required. The role includes helping manage order processing and prioritizing effectively during high volume periods, escalating complex or non-standard deals to senior team members, and partnering cross-functionally with Legal, Finance, and Sales to facilitate and execute deals. The analyst will also help support and improve the CPQ tool, DealHub, and associated workflows. Requirements: — 3–4 years experience in deal desk, sales operations, or order management within B2B SaaS. — Familiarity with CPQ and quote to cash processes (Salesforce, DealHub, or similar). — Detail oriented, organized, responsive, comfortable with high transaction volume and period end pressure. — Strong stakeholder service mindset and clear, well-structured communication. — Understanding of SaaS business models, subscription-based pricing, and revenue recognition principles. — Comfortable working in a dynamic, hyper-growth environment and handling ambiguity. — Strong MS Excel/Google Sheets skills. Conditions: — Remote position based in the Pacific time zone. — Base salary up to $127,000 per year plus a 10% target bonus. — Applicants must be authorized to work in the U.S.; no visa sponsorship available.

до 127 000 $

Role Overview: As a Lead Customer Success Manager, you will own the post-sales strategic relationship, retention, and value realization across highest-stakes enterprise accounts. You will operate with high autonomy, driving customer outcomes while partnering with Sales to uncover and capitalize on strategic growth opportunities. You will serve as the trusted advisor and strategic lead for your portfolio, orchestrating technical and commercial counterparts including Forward-Deployed Engineers (FDEs), Account Executives, and Product leaders. You will bridge complex technical deployments with executive-level business goals to ensure customers realize maximum value and expand their footprint. Key Responsibilities: — Drive Strategic Account Value & Retention: accountable for net retention, customer health, and long-term strategic alignment across complex enterprise accounts. — Partner with Sales for Account Growth: collaborate with Account Executives/Strategic Account Managers to identify expansion vectors, co-develop account plans, and position new capabilities supporting customer's technical roadmap. — Integrate with Technical Counterparts: work closely with Forward-Deployed Engineers and technical leads to align technical delivery with business outcomes, remove friction, and accelerate time-to-value. — Operate as an Independent Bar-Raiser: build scalable Customer Success playbooks, elevate executive engagement standards, and operate with extreme ownership without step-by-step guidance. — Cultivate C-Suite & Technical Sponsorship: build multi-threaded relationships across business and technology functions (CIO, CISO, CTO, VPs of Engineering, Product Leads) to ensure alignment with corporate initiatives. — Drive Business Outcomes & QBRs: lead executive business reviews demonstrating clear ROI and anchoring accounts for long-term growth. Qualifications & Requirements: — 10+ years in Enterprise Customer Success, Account Management, or Technical Account Management handling high-ARR, complex enterprise platforms. — Proven commercial acumen and growth mindset with history of partnering with Sales to identify, nurture, and close upsells, expansions, and renewals in complex environments. — Deep experience collaborating with Forward-Deployed Engineers, Solutions Architects, and product delivery teams to translate technical achievements into commercial value. — Self-motivated leader excelling in ambiguous, fast-paced environments with full accountability for account outcomes. — Outstanding communication and presentation skills with experience advising C-level executives on technology strategy and operational efficiency. Nice-to-Haves: — Domain knowledge in High Tech (cloud native, hardware/software OEMs, AI/ML platforms) and understanding of engineering-led enterprise operations and scaling. What Success Looks Like in Year 1: — Month 3: fully onboarded, account health assessments completed, alignment with Sales AEs and FDE teams established. — Month 6: value-realization frameworks and executive cadence active, expansion pipelines co-developed with Sales. — Month 12: high Net Retention Rate achieved, demonstrable business outcomes delivered, elevated Customer Success playbooks established as standard practice. Applicants must be authorized to work in the U.S.; no visa sponsorship available.

190 000 – 220 000 $

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 for 4 months full-time, with a weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits and funding for compute (~$15k/month) and other research expenses. Fellows receive direct mentorship from Anthropic researchers, access to shared workspaces in Berkeley, California or London, UK, and connection to the broader AI safety and security research community. Interview process includes initial application and reference check, technical assessments and interviews, and a research discussion. Candidates are encouraged to apply even if they do not meet every qualification. The program values diversity and representation. Fellows workstreams include AI Safety Fellows, AI Security Fellows, ML Systems & Performance Fellows, Reinforcement Learning Fellows, and The Anthropic Institute Fellows (Economics & Policy). Candidates may be considered for all workstreams by default and can specify preferences. General candidate criteria: motivated by AI safety and societal benefit, strong technical background in computer science, mathematics, or physics, ability to implement ideas quickly and communicate clearly, fluent in Python, and available full-time for the program. AI Safety Fellows focus on research areas such as scalable oversight, adversarial robustness and AI control, model organisms, mechanistic interpretability, and AI welfare. Mentors include Sam Bowman, Sara Price, Alex Tamkin, and others. Candidates with experience in empirical ML research, large language models, and open-source contributions are a good fit. AI Security Fellows focus on reducing catastrophic risks from advanced AI systems, with mentors like Nicholas Carlini and Keri Warr. Candidates with experience in pentesting, vulnerability research, offensive security, CVE reporting, bug bounties, and empirical ML research are preferred. Logistics: applicants must have work authorization and be located in the US, UK, or Canada during the program. Shared workspaces are available in London and Berkeley, with remote options in these countries. Visa sponsorship is not provided. The program duration is 4 months full-time, with possible extensions. Strong performance may lead to full-time offers at Anthropic, though not guaranteed. Applications are currently closed and will be updated when reopened. The program is managed by Constellation recruiting partner. The description includes policies for full-time roles which do not apply to the Fellows Program. Anthropic is a public benefit corporation headquartered in San Francisco offering competitive compensation, benefits, equity donation matching, vacation and parental leave, flexible hours, and office space. The company emphasizes collaborative, high-impact AI research with a focus on steerable, trustworthy AI.

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Anthropic is an AI safety and research company building reliable, interpretable AI systems like the Claude family of large language models. About the role Prompts specify what Claude does. Evals measure whether it did. The Product Prompt and Eval Design team handles both for product design: the system prompt greeting new users, tool descriptions deciding whether Claude searches, instructions maintaining quality, and evals testing all of it. The role focuses on building evals that check prompts, the harness running them, and tools enabling designers to do this work independently. It involves close collaboration with surface owners, engineers, and prompt engineering teams during model releases. Key responsibilities: — Write and revise prompts behind Claude's tools, features, and behaviors on product surfaces; test, fix, ship, and confirm prompts. — Build graders to validate prompt fixes and rerun on new models; automate evals from designers' rubrics and analyze transcripts. — Develop visual, low-code eval tools for designers without engineering help: assemble comparison sets, convert rubrics into graders, compare prompt variants, and present results. — Observe designers using tools and simplify them. — Support model releases by testing surfaces, writing prompt fixes and migrations, and creating prompts for new features. — Establish and scale the eval harness to test 50-100 tools with reliable settings, maintain eval stability across models, and diagnose regressions. — Package issues unfixable by prompting for training, including graders, human-feedback questions, and good/bad pairs. Minimum qualifications: — Production-quality Python. — Experience building and maintaining evaluation pipelines for LLM products: graders, rubrics, comparison sets, regression suites, and their orchestration. — Experience creating internal tools with user-friendly interfaces for non-coders. — Experience setting up test harnesses, sandboxing tool calls, and stabilizing settings for comparable runs. — Experience shipping prompts or working closely with prompt shippers, understanding prompt failures across models. — Ability to read transcripts beyond scores. Preferred qualifications: — Experience within a model-launch cycle. — A/B testing experience linking offline evals to online outcomes. — Front-end or notebook-to-app experience and insights on eval result legibility. — Experience converting product rubrics into training signals: graders, human-feedback questions, or preference pairs. — Concern for Claude's behavior for users, beyond metric changes. Logistics: — Minimum education: Bachelor’s degree or equivalent. — Location-based hybrid policy: at least 25% office presence expected. — Visa sponsorship available with legal support. Anthropic values diversity and encourages applications from underrepresented groups. The company emphasizes AI safety and ethical implications, fostering a collaborative environment focused on impactful AI research. Compensation: — Annual salary range: $305,000 - $385,000 USD. Work location: — Hybrid in San Francisco or New York offices.

305 000 – 385 000 $