Вакансии

Dealer Relationship Management. Develop and maintain relationships with new and existing dealer partners.

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You'll be the first person at LawnStarter dedicated to data governance, the owner of whether our data can be trusted, and of the roadmap that makes it more trustworthy every quarter. Trust means the quality and freshness of our source data, pipelines, and reports;

75 000 – 120 000 $

What you'll do: Own the architecture and roadmap for search and recommendations end to end — query understanding, retrieval, ranking, and the surfaces they feed: search, discovery, the home feed, and our trending and creator leaderboards.

250 000 – 320 000 $

hands-on, AI-native marketer who wants to take ownership of marketing. We’re looking for someone who already uses AI agents, automation, integrations, and structured workflows to get real marketing work done – and can show us what they’ve achieved with them.

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Design and clearly communicate solutions, demonstrating that you have a clear grasp of business value as well as technical challenges. Partner with Sales Directors, Account Managers, and Strategic Account Managers to drive the technical win and align with technical buyer during the sales cycle.

110 000 – 135 000 $

• Leading of the development of the Company's digital environment,. • Management of the Company's IT infrastructure,.

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Dremio is a unified lakehouse platform for self-service analytics and AI, serving global enterprises such as Maersk, Amazon, Regeneron, NetApp, and S&P Global. The platform supports cloud, hybrid, and on-prem lakehouses to enable data mesh, data warehouse migration, data virtualization, and unified data access use cases. It is based on open source technologies including Apache Iceberg and Apache Arrow, providing an open lakehouse architecture for fast insights and platform flexibility at reduced cost. Dremio values high standards in People, Thinking, and Action. Employees, called Gnarlies, communicate clearly, drive accountability, respect each other, confront facts, focus on results, and operate with urgency. The company supports workforce diversity and is an equal opportunity employer, not discriminating based on race, religion, color, national origin, gender identity, sexual orientation, age, marital status, veteran status, disability, or other unlawful factors. Accommodations for individuals with disabilities are provided upon request during application and interview processes. Dremio emphasizes trust and transparency, warning candidates about scam attempts using fake domains. Official communications come only from @dremio.com domains. The company is not responsible for fees related to unsolicited resumes and does not pay fees to third-party agencies without signed agreements. Candidates interested in future opportunities can express their areas and roles of interest to be notified when matching positions become available.

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The Recorder role requires individuals who can master a specific hands-on activity from a selection of verticals. You will need to film yourself performing these tasks from a first-person perspective using your smartphone while ensuring the tasks are clearly visible.

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About the Role - Narrator. Watches the POV video and describes the scene and task in first person, in English, as if explaining it to a model that can't see.

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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.

About CircleCI Engineering: CI/CD is being reinvented with AI agents that write code, trigger builds, interpret failures, and propose fixes. CircleCI is building new interfaces for developers to understand and trust this work. Team-Agnostic Placement: Hiring is for CircleCI as a whole, not a specific team. Placement depends on where your strengths create the most leverage. Possible areas include CI pipeline experience, deploy and release tooling, notification infrastructure, monetization flows, AI agent surfaces, or the foundational web platform. The role involves full-stack ownership and high craftsmanship. What You'll Do: — Build AI-natively, using AI as the default approach to problem solving. — Invent new interfaces for software delivery that support autonomous pipelines and human judgment. — Own the full stack by building features end-to-end in Go, React, and TypeScript. — Focus on reliability and responsiveness as design concerns. — Champion observability using Honeycomb, Datadog, and Rollbar to improve systems. — Proactively identify and close gaps without being asked. What You'll Bring: — AI-native engineering practices with daily use of AI tools and understanding of their impact. — At least 3 years of production full-stack experience with a track record of shipping real products. — Strong skills in React and TypeScript, and comfortable owning backend services in Go including API design, data modeling, and service integration. — System design skills with conscious tradeoffs and documentation. — Production mindset focusing on latency, responsiveness, and reliability in distributed environments. Additional Information: The role is remote based in Ontario, Canada. Salary range is $127,000 to $159,000 CAD per year. CircleCI is an equal opportunity employer and provides accommodations for individuals with disabilities during the application and interview process.

127 000 – 159 000 $

About Delinea: Delinea is a pioneer in securing human and machine identities through intelligent, centralized authorization, empowering organizations to seamlessly govern their interactions across the modern enterprise. Leveraging AI-powered intelligence, Delinea’s leading cloud-native Identity Security Platform applies context throughout the entire identity lifecycle – across cloud and traditional infrastructure, data, SaaS applications, and AI. It is the only platform that enables you to discover all identities – including workforce, IT administrator, developers, and machines – assign appropriate access levels, detect irregularities, and respond to threats in real-time. With deployment in weeks, not months, 90% fewer resources to manage than the nearest competitor, and a 99.995% uptime, Delinea delivers robust security and operational efficiency without compromise. What You Will Own: — Price and packaging architecture across the portfolio: tiering, licensing metrics, add-on structure, bundling. — Proposal quality into the monthly Price Committee: analysis, financial model, recommendation, and action register through to closure. — Discount governance, including band policy and guardrails. — Monetization for new categories: NHI governance, AI agent identity, StrongDM, consumption-based licensing. — Commercial readiness at launch, ensuring packaging and pricing ship with the product. — The single source of truth for pricing, packaging and quoting guidance, partnering with Product Marketing on seller enablement. — Price realization, attach rate and competitive position, informed by competitor pricing, market benchmarks and win/loss data. What We Are Looking For: — 12+ years across pricing strategy, monetization, product management or product marketing, including 5+ years owning pricing as a named function. — Experience building a monetization function where none existed: cadence, governance, documentation, analytical bench. — Experience preparing and defending recommendations to a formal pricing committee or equivalent decision body. — Demonstrated design of tiered packaging for enterprise software, strong financial modeling (pricing impact, ARR and expansion, discount optimization). — Credibility with executive peers, holding a position on pricing under pressure without direct authority over sales or finance. Strongly preferred: — Cybersecurity or identity security (PAM, IAM, SIEM, endpoint); exposure to NHI, machine identity or secrets management. — Consumption-, usage-, or outcome-based pricing models alongside seat-based subscription. — Working knowledge of CPQ (Salesforce CPQ, Apttus); pricing through M&A integration or a major commercial model transition. MBA a plus. Why Now: Pricing at Delinea has been carried by people doing it well alongside a full portfolio, and the surface area keeps growing. The opportunity is to make monetization a professional discipline, with a decision forum that already works. This role is built for owning monetization end-to-end rather than managing an approval queue. Why work at Delinea? — Meaningful work, a culture of innovation and great career progression. — Core values: Spirited, Trust, Respect, Ownership, Nimble, Global. — Competitive salaries, meaningful bonus program, excellent benefits including healthcare insurance, pension/retirement matching, life insurance, employee assistance program, time off plans, and paid company holidays. Delinea is an Equal Opportunity and Affirmative Action employer prohibiting discrimination and harassment of any type. Candidates are required to complete comprehensive criminal background check, verification of education, and employment, and social media sites may be reviewed upon conditional offer of employment.

About LawnStarter LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. The company is expanding beyond lawn care to become a one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform. About Analytics at LawnStarter The analytics team supports the entire company including product, marketing, operations, and finance. The data platform includes a centralized Redshift data warehouse, modeled in dbt and orchestrated by Airflow, with Segment feeding event data. The team is mid-migration to Lightdash as the single BI platform, replacing Tableau and Metabase. Currently, data quality, tracking standards, and platform hygiene are side tasks handled by analysts. The Role The Analytics Engineering Manager will be the first dedicated person for data governance, responsible for data trustworthiness and the roadmap to improve it quarterly. Responsibilities include ensuring quality and freshness of source data, pipelines, reports, metric definitions, Segment event tracking standards, Lightdash workspace health, data feeding ML models, and data security. The role involves collaborating with product, marketing, ops, and finance to prioritize platform work. It is a hands-on role starting solo, building automation, checks, fixing issues, and establishing scalable processes. Eventually, the manager will hire a Lead Analytics Engineer and grow the function as needed. Key differentiators of the role: - First dedicated governance role, reshaping existing standards. - Owns the data roadmap, discovering business needs and prioritizing work. - Whole-stack ownership from source data to ML models. - Leading the migration to Lightdash, setting up permissions and norms. Responsibilities: - Develop and manage the data roadmap balancing business needs and platform health. - Automate monitoring of data quality and freshness, resolve incidents. - Maintain data lineage and impact analysis to assess downstream effects of changes. - Administer Lightdash workspace, permissions, and rollout. - Extend and guard the semantic layer with governed metric definitions. - Govern Segment event tracking catalog, standards, and drift detection. - Ensure AI data readiness for internal AI tools querying the warehouse. - Manage data security, privacy, access controls, and compliance with US state laws. - Maintain governance documentation, ownership models, and review processes. Challenges to solve: - Convert business requests into a prioritized data roadmap. - Ensure Lightdash migration improves platform usability without dashboard sprawl. - Complete and maintain a trustworthy semantic layer. - Manage event-tracking standards and prevent entropy. - Proactively detect and prevent data pipeline breakages with automation and lineage. Success metrics for year 1: - Zero pipeline incidents from unannounced data changes. - Zero freshness incidents; stakeholders never see stale dashboards. - All business areas use official, well-maintained metrics and dashboards. - Every Segment event has an owner and meets standards. - Governance operates as a documented, sustainable system. Requirements: - Passion for data governance as a craft. - Daily use of AI tools for automation, anomaly triage, and documentation. - Hands-on manager who codes, debugs, and configures personally. - Product-minded, able to translate vague requests into prioritized plans. - Automation-first approach to quality checks. - Ability to enforce standards with clear rules and good tooling. Role exclusions: - Not a large-team leadership role; starts solo with potential to hire one lead. - Not a policy or committee role; hands-on fixing with code and conversations. - Not a BI analyst role; focuses on platform and guardrails, not dashboard building. - Not a mature system babysitting role; involves building and evolving the platform. Technologies involved: - Warehouse & pipelines: Redshift, dbt, Airflow - Ingestion: Fivetran, custom Airflow pipelines - Event tracking: Segment - BI tools: Lightdash (primary), Tableau and Metabase (sunsetting) - AI tooling: Claude Code, Codex, Brain (internal AI toolkit) - Observability: AI-powered Analytics Engineer agent for monitoring and anomaly detection Benefits: - Base salary $75k-$120k/year - Fully remote with asynchronous collaboration - Flexible PTO Equal employment opportunity statement included.

About Alps2Alps Alps2Alps is an innovation-driven travel tech company dedicated to travel tailored with love, powered by innovation and a commitment to the Earth. The company develops innovative solutions to drive customer satisfaction and business growth, serving hundreds of thousands of clients. About the role Looking for organized and efficient Dispatchers to coordinate transfer services in real time. The Dispatcher acts as a key contact between clients, drivers, Customer Service, and the Planning team, ensuring smooth communication and handling day-of-service tasks. Responsibilities: — Coordinate communication between clients, drivers, Customer Service (CS), and the Planning team; — Monitor real-time transportation operations, ensuring efficiency and timely service; — Support customers on the day of service, resolving issues or delays; — Use dispatch and communication tools such as IP phones, Slack, and CRM to maintain smooth operations; — Handle unexpected situations effectively to minimize service disruption; — Maintain accurate and up-to-date records in the dispatch system; — Collaborate with other departments to ensure customer satisfaction and operational success. Requirements: — Proficiency in communication platforms: IP phones, Slack, messaging apps; — Experience with dispatch management systems; — Background in logistics, tourism, taxi services, or goods delivery coordination; — Reliable PC, headphones, and microphone for communication; — Stable internet connection for remote work; — Proficiency in English (C1); knowledge of Russian or French is an asset; — Strong understanding of geographic locations within the service areas (Alps); — Ability to collaborate effectively in a team; — Excellent verbal communication and problem-solving skills; — Willingness to work 12-hour shifts, day or night; — Highly adaptable and able to manage unexpected and challenging situations. Work Schedule: — 5 days a week, 12-hour shifts with predetermined schedule (day/night shifts); — Fully remote work (excluding sanctioned countries). Contract details: — Temporary contract until April 20, 2027, with possibility of extension; — First month focused on training and learning; — From second month, performance evaluated based on KPIs. Salary Range: — 700 EUR/month during training and probation (first month); — From second month, salary ranges from €1,500 to €2,000 based on performance and KPIs. Selection process: — Group interview; — Competency-based interview; — Reference check; — Offer.

1 500 – 2 000 €

PagerDuty is seeking an Account Executive (AE) to join their high-performing, customer-focused team. The role involves driving growth and expansion within an established customer portfolio by combining strategic account management with consultative enterprise selling. The AE will partner with C-level executives and key stakeholders to deliver measurable outcomes through Operations Cloud conversions and multi-product adoption. Responsibilities include owning and growing a defined set of enterprise accounts by driving upsell, cross-sell, and expansion opportunities; building and maintaining trusted executive relationships through regular in-person engagement and consultative selling; developing and executing strategic account plans to identify growth areas, expansion pathways, and competitive positioning; driving adoption of PagerDuty’s Operations Cloud by articulating clear business value and ROI; executing complex, multi-product sales motions and partnering with Solution Consultants for technical validation and proof-of-concept activities; maintaining accurate forecasts and a disciplined pipeline in Salesforce using the MEDDICC framework; and collaborating with Customer Success, Product Management, and Renewals teams to ensure customer satisfaction and long-term retention. Basic qualifications include 8+ years of experience in B2B sales, account management, or expansion roles within SaaS or cloud software; proven success managing a quota in complex, long-cycle enterprise sales; demonstrated experience selling to and influencing C-level executives; proficiency with Salesforce (SFDC) for pipeline management and forecasting; and a Bachelor’s degree or equivalent experience. Preferred qualifications include prior enterprise sales expertise leveraging MEDDPICC & Value Selling; experience managing high-value accounts; track record of success with multi-product sales and solution-based selling models; strong understanding of enterprise software ecosystems, Operations Cloud, or DevOps environments; and strategic thinking with exceptional communication, negotiation, and relationship-building skills. The base salary range for this position is $131,000.00 - $170,500.00 USD per year. The role may also be eligible for bonus, commission (50/50 split), and/or benefits. PagerDuty operates a hybrid work model with offices in 8 major cities but this role is remote with location restrictions. PagerDuty offers a competitive total rewards package including comprehensive benefits, flexible work arrangements, company equity, ESPP, retirement plans, generous paid vacation, paid parental leave, volunteer time off, company-wide hack weeks, and mental wellness programs. PagerDuty is an equal opportunity employer committed to providing reasonable accommodations for qualified individuals with disabilities. The company uses the E-Verify employment verification program.

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.

Bitmanager.ai is an AI startup operating in the fast-growing area of conversational AI agents. Languages required: Russian and English (professional proficiency). Work format: On-site in Moscow.

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Responsibilities: Team Management • Manage and scale an effective Legal team with strong growth potential; • Define team structure, ownership areas and ensure deep expertise across key legal domains; • Establish efficient legal processes, workflows and transparent collaboration with business units; • Drive hiring, development and performance of the Legal team. Corporate and Compliance • Advise on corporate law matters under English law; • Supervise fiduciary providers and corporate secretarial services; • Ensure proper maintenance of corporate structure and documentation (International entities); • Oversee corporate relationships with affiliates; • Partner with Finance on corporate structuring and related initiatives. Privacy and Data Protection • Maintain and develop company-wide privacy standards and policies; • Support teams in reviewing products, features and initiatives from a data protection perspective; • Oversee data flows and ensure compliance with applicable privacy frameworks; • Implement risk mitigation strategies to ensure data protection compliance across the company Intellectual Property • Advise on all IP matters, including trademarks, copyrights and product-related IP; • Oversee IP portfolio management and handle key infringement cases; • Support licensing, copyright clearance and collaboration with partnerships teams. Commercial Contracts • Lead and negotiate key commercial agreements (licensing, marketing, publishing, partnerships, vendors, etc.); • Partner with Product, Marketing and Business Development on strategic deals; • Improve and scale contract workflows, templates and approval processes. Product Compliance • Support development of content moderation and compliance policies; • Ensure alignment with platform, partner and industry requirements; • Identify and mitigate product-related legal risks; • Review product features for compliance (digital services, loot boxes, consumer protection, age ratings, advertising). Requirements: • Strong academic background in Law; • 8+ years of legal experience (law firm, in-house or mixed), preferably in IT / gaming / digital products; • Solid knowledge of English law; • Proven experience in leading legal functions or teams; • Excellent communication and stakeholder management skills. Nice to have: • Commercially minded, pragmatic and solution-oriented; • Proactive and interested in contributing to product development and cross-functional collaboration; • Able to work effectively with stakeholders across all levels of seniority; • Willing to share knowledge and mentor team members; • Strong interest in the football industry and understanding of gaming trends is a plus. We offer: • Medical insurance and social benefits; • Sick-leaves; • Referral bonuses; • Sports compensation; • Online English classes; • Co-working compensation.