Вакансии

Location: Seattle, WA 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 manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. 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 — $485,000 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.

Location: 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 manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. 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 — $485,000 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.

Location: South Windsor, United States Keller Executive Search is recruiting for a profitable, growing industrial manufacturer serving processing and manufacturing markets. Our client sells application-specific physical products through OEM, reseller, and end-user channels. Increased production capacity has created a strong platform for profitable commercial growth. This is a high-impact opportunity for a hands-on B2B seller who wants autonomy, direct access to senior leadership, and the chance to shape a sales function. You will personally prospect, open accounts, expand existing relationships, visit customer facilities, and manage opportunities from application discovery and quoting through closing and follow-through. Success means generating growth while protecting margin and customer profitability. The role also supports a planned leadership succession, providing time to learn established customer relationships, technical applications, and pricing practices. Initially, this is an individual-contributor and functional-lead position with no direct reports. It offers a credible path to Sales Director and the opportunity to build a sales team as results support further investment. Key Responsibilities Generate new business through targeted prospecting, field activity, trade shows, and disciplined follow-up. Expand existing accounts through additional products, applications, and customer locations. Own the full sales cycle, including discovery, site assessment, quoting, negotiation, order handoff, and follow-through. Build relationships with OEMs, resellers, distributors, end users, and key accounts. Conduct plant visits, investigate applications, take accurate measurements, recommend specifications, and train customers. Apply sound pricing, discount, gross-margin, complexity, and cost-to-serve judgment. Create territory and account plans using sales, margin, product-mix, and pipeline data. Maintain accurate customer, opportunity, quote, and order records in ERP or CRM tools. Plan efficient multi-day customer trips and represent the business at industry trade shows. Coordinate with the external marketing agency on campaigns, lead generation, and trade-show activity. Partner with customer service, production, purchasing, and technical resources to ensure deliverable commitments. Establish scalable sales processes and pipeline discipline for future growth. Requirements Essential At least 5 years of successful B2B sales experience with full-cycle responsibility. Recent personal success prospecting, opening accounts, and expanding existing business. Experience selling technical, engineered, application-specific, or consultative products or solutions. Understanding of pricing, gross margin, discounting, customer profitability, and cost-to-serve. Ability to learn technical products, assess applications, record measurements, and explain specifications. Strong analytical, mathematical, problem-solving, and organizational skills. Experience using an ERP and/or CRM, plus working knowledge of Excel, Outlook, and PowerPoint or equivalent tools. Fluent English with effective written, spoken, presentation, and customer-instruction skills. Self-directed, ethical, accountable, and collaborative working style. Ability to travel approximately 40 to 50%, including overnight and occasional weekend travel. Ability to navigate industrial facilities and perform site assessments, with or without reasonable accommodation. Reliable transportation to the office and customer locations. Preferred Experience selling industrial equipment, components, MRO products, engineered materials, or similar technical products. Sales exposure to food, chemical, pharmaceutical, plastics, paper, fertilizer, or related processing industries. Familiarity with OEM, reseller, distributor, end-user, or multi-channel sales. Experience managing a regional or multi-state territory and visiting manufacturing facilities. Success building sales processes while retaining personal selling responsibility. Leadership, coaching, or mentorship experience. Bachelor's degree or related education in business, engineering, or industrial technology. DELMIAWorks/IQMS experience or Spanish proficiency. Ideal Candidate Profile You are a commercially disciplined technical seller who enjoys creating opportunities, understanding real-world applications, and earning trust on the plant floor. Self-directed, ethical, low-ego, and data-minded, you can succeed without extensive support and want to build profitable business and a scalable sales function. Benefits Base salary of $80,000 to $110,000 annually in USD, based on experience and fit. Commission, incentives, and MBO rewards tied to profitable growth, with target total compensation of approximately $130,000 to $145,000 and performance upside. 75% company-paid employee health, dental, and vision coverage. Company-paid life, short-term disability, long-term disability, accident, and critical illness benefits. 3% 401(k) match plus 3% profit sharing. Two weeks of vacation, one week of sick/personal leave, and 13 paid holidays. Agency statement Keller is a recruitment agency that provides services to clients ranging from startups and non profits to multinational corporations. Keller emphasizes ethical search processes, attentive candidate care, and leadership placements that support long-term client outcomes. To learn more about the firm and about our candidate services - please visit our website Equal Employment Opportunity and Non-Discrimination Policy Equal Employment Opportunity Statement: Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability, genetic information, or any other legally protected status. Commitment to Diversity: Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected. Reasonable Accommodations: Both Keller Executive Search and our clients are committed to providing reasonable accommodations to individuals with disabilities and pregnant individuals. We engage in an interactive process to determine effective, reasonable accommodations. Compensation Information: For client positions, compensation information is available in the job post. If not provided, it will be shared during the interview process in accordance with applicable laws. When required by law, salary ranges will be included in job postings. Actual salary may depend on skills, experience, and comparison to current employees in similar roles. Salary ranges may vary based on role and location. Compliance with Laws: Both Keller Executive Search and our clients comply with federal, state, and local laws governing nondiscrimination in employment. This policy applies to all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Workplace Harassment: Both Keller Executive Search and our clients expressly prohibit any form of workplace harassment based on race, skin color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. E-Verify Participation: Keller Executive Search and/or our clients may participate in E-Verify. Information about E-Verify participation will be provided during the application process where applicable. Privacy and Pay Equity: California Residents: For more information about the categories of personal information we collect for recruiting and employment purposes, please review our Privacy Policy at www.kellerexecutivesearch.com . Colorado, Nevada, New York City, California, and Washington Residents: Compensation information is available in the job post or will be provided during the interview process if not initially available. Both Keller Executive Search and our clients are committed to pay equity and conduct periodic pay equity analyses in accordance with applicable laws. State-Specific Information: Rhode Island: We do not request or require salary history from applicants. Connecticut: We provide wage range information upon request or before discussing compensation. New Jersey: We do not inquire about salary history unless voluntarily disclosed. Veteran Status: Both Keller Executive Search and our clients provide equal employment opportunities to veterans and comply with applicable state laws regarding veteran preference in employment. If you are a veteran, please inform us during the application process. Use of Artificial Intelligence in Recruitment Keller Executive Search and our clients may use artificial intelligence (AI) tools to assist in the recruitment and candidate evaluation process. These tools are used exclusively to support human decision-making by helping to review and assess candidate qualifications and materials. AI is never used to automatically reject, disqualify, or make final hiring decisions about candidates. All AI-assisted evaluations are reviewed by experienced recruitment professionals, and all hiring decisions are made by qualified human recruiters. Our use of AI is designed to enhance fairness, consistency, and efficiency while maintaining our commitment to equal employment opportunity and non-discrimination principles. Genetic Information: In accordance with federal and state laws, both Keller Executive Search and our clients do not discriminate based on genetic information. We do not request or require genetic information from applicants or employees, except as permitted by law. Local Laws: Both Keller Executive Search and our clients comply with all applicable local laws and ordinances regarding employment practices in the areas where we operate. Note: This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process. Employment laws and requirements may vary depending on the employer and location.

Location: Los Angeles, United States Keller Executive Search is recruiting an accomplished sales leader for a client seeking to accelerate profitable growth, strengthen strategic customer relationships and advance commercial execution. This senior leadership role will oversee a portfolio of key accounts while shaping sales strategy, identifying growth opportunities and maintaining disciplined performance management. The successful candidate will combine hands-on account leadership with sound commercial judgment, effective team leadership and a strong focus on account profitability. This is an opportunity to influence business growth, develop enduring customer partnerships and progress toward broader executive sales leadership. Key Responsibilities Develop and execute sales strategies aligned with revenue, margin and profitability objectives Lead, coach and hold the sales team accountable for individual and portfolio performance Manage and expand relationships with key customers, buyers and commercial stakeholders Own account planning, negotiations, pricing discussions and commercial proposals Build a qualified pipeline and identify opportunities across existing and prospective accounts Monitor account-level profitability and pursue sustainable, profitable growth Produce accurate forecasts, budgets, performance reports and market insights for senior leadership Partner with operations, finance, marketing and other functions to support effective customer delivery Represent the organization during customer visits, industry events and trade shows Additional Information This is a full-time, on-site leadership position Travel is required for customer visits and trade shows Requirements At least 8 years of progressive sales or commercial experience, including responsibility for major accounts At least 3 years of sales leadership experience, with demonstrated success coaching and managing teams Track record of delivering profitable growth and managing performance against revenue and margin objectives Strong strategic account management, negotiation, forecasting and pipeline management capabilities Ability to interpret commercial and financial data and translate insights into practical action Clear executive-level communication, presentation and relationship-building skills Willingness to work full-time on-site and travel for customer meetings and trade shows Preferred Experience working with complex customer accounts and multiple decision-makers Experience engaging senior buyers, procurement leaders or other commercial stakeholders Familiarity with CRM systems and structured sales planning methodologies Bachelor's degree in business, marketing or a related field, or equivalent professional experience Benefits Salary: $180,000-210,000 base, annually in USD, plus an annual bonus Employer-paid health, dental and vision insurance 401(k) or retirement plan with employer match Paid time off Employer-paid life and disability insurance Full-time, on-site role, with travel for customer visits and trade shows Potential career progression Agency statement Keller is a recruitment agency that provides services to clients ranging from startups and non profits to multinational corporations. Keller emphasizes ethical search processes, attentive candidate care, and leadership placements that support long-term client outcomes. To learn more about the firm and about our candidate services - please visit our website Equal Opportunity policy Equal Employment Opportunity and Non-Discrimination Policy Equal Employment Opportunity Statement: Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability, genetic information, or any other legally protected status. Commitment to Diversity: Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected. Reasonable Accommodations: Both Keller Executive Search and our clients are committed to providing reasonable accommodations to individuals with disabilities and pregnant individuals. We engage in an interactive process to determine effective, reasonable accommodations. Compensation Information: For client positions, compensation information is available in the job post. If not provided, it will be shared during the interview process in accordance with applicable laws. When required by law, salary ranges will be included in job postings. Actual salary may depend on skills, experience, and comparison to current employees in similar roles. Salary ranges may vary based on role and location. Compliance with Laws: Both Keller Executive Search and our clients comply with federal, state, and local laws governing nondiscrimination in employment. This policy applies to all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Workplace Harassment: Both Keller Executive Search and our clients expressly prohibit any form of workplace harassment based on race, skin color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. E-Verify Participation: Keller Executive Search and/or our clients may participate in E-Verify. Information about E-Verify participation will be provided during the application process where applicable. Privacy and Pay Equity: California Residents: For more information about the categories of personal information we collect for recruiting and employment purposes, please review our Privacy Policy at www.kellerexecutivesearch.com . Colorado, Nevada, New York City, California, and Washington Residents: Compensation information is available in the job post or will be provided during the interview process if not initially available. Both Keller Executive Search and our clients are committed to pay equity and conduct periodic pay equity analyses in accordance with applicable laws. State-Specific Information: Rhode Island: We do not request or require salary history from applicants. Connecticut: We provide wage range information upon request or before discussing compensation. New Jersey: We do not inquire about salary history unless voluntarily disclosed. Veteran Status: Both Keller Executive Search and our clients provide equal employment opportunities to veterans and comply with applicable state laws regarding veteran preference in employment. If you are a veteran, please inform us during the application process. Use of Artificial Intelligence in Recruitment Keller Executive Search and our clients may use artificial intelligence (AI) tools to assist in the recruitment and candidate evaluation process. These tools are used exclusively to support human decision-making by helping to review and assess candidate qualifications and materials. AI is never used to automatically reject, disqualify, or make final hiring decisions about candidates. All AI-assisted evaluations are reviewed by experienced recruitment professionals, and all hiring decisions are made by qualified human recruiters. Our use of AI is designed to enhance fairness, consistency, and efficiency while maintaining our commitment to equal employment opportunity and non-discrimination principles. Genetic Information: In accordance with federal and state laws, both Keller Executive Search and our clients do not discriminate based on genetic information. We do not request or require genetic information from applicants or employees, except as permitted by law. Local Laws: Both Keller Executive Search and our clients comply with all applicable local laws and ordinances regarding employment practices in the areas where we operate. Note: This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process. Employment laws and requirements may vary depending on the employer and location.

Location: Houston, United States EnerMech is a global provider of specialist engineering, technical and integrated services to the energy and infrastructure sectors. With operations across multiple international markets, we deliver innovative solutions that help our clients improve operational efficiency, safety and asset performance. Our services include mechanical, electrical and instrumentation solutions, lifting and inspection services, and specialist industrial services, including nitrogen and pressure testing operations. At EnerMech, we are committed to delivering operational excellence through our highly skilled workforce, strong safety culture and focus on quality. We offer opportunities to work on challenging projects alongside experienced professionals in a dynamic, safety-focused environment. Key Responsibilities Operate nitrogen pumping equipment safely and efficiently at various job sites. Set up, monitor and shut down nitrogen pumping units in accordance with operational procedures. Monitor pumping pressures, flow rates and equipment performance during operations. Conduct pre-operational and post-operational inspections of nitrogen pumping equipment. Perform routine maintenance and basic troubleshooting to ensure equipment reliability. Ensure compliance with all company HSE policies, client requirements and safety procedures. Maintain accurate pumping logs, operational records and service reports. Carry out equipment rig-up, pressure testing and rig-down activities. Communicate effectively with supervisors, team members and clients regarding job requirements and operational activities. Participate in toolbox talks, risk assessments and ongoing safety training. Requirements Minimum of 3 years' experience as a Nitrogen Pump Operator, preferably within the oil & gas industry. Proven experience operating high-pressure nitrogen pumping equipment. Strong understanding of nitrogen pumping operations, pressure control and flow rates. Ability to inspect, maintain and troubleshoot nitrogen pumping equipment. Knowledge of nitrogen handling procedures and associated safety risks. Experience in equipment rig-up, pressure testing and rig-down. Ability to work independently and as part of a field operations team. Strong commitment to safety, reliability and operational efficiency. Good communication skills and a proactive, hands-on approach. CDL (Commercial Driver’s License) is preferred.

Location: United States About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for a detail-oriented Business Analyst – AI Evaluation Specialist to support a project focused on assessing and comparing chatbot responses. You will evaluate multiple AI-generated outputs against defined business requirements and quality criteria, analyze business processes, and deliver structured assessments that help improve the accuracy and usefulness of AI systems. The ideal candidate combines strong business analysis, data interpretation, requirements documentation, and critical evaluation skills with the ability to communicate clear, evidence-based conclusions. Key Responsibilities Gather, analyze, and document business requirements, stakeholder expectations, and project objectives. Compare multiple chatbot responses and assess their accuracy, relevance, completeness, and alignment with defined evaluation criteria. Conduct structured evaluations and provide clear, evidence-based final assessments of AI-generated outputs. Translate business requirements into functional specifications, evaluation criteria, and actionable documentation. Analyze workflows, business processes, and data to identify gaps, inefficiencies, and improvement opportunities. Create reports, dashboards, process maps, and other project documentation. Support project planning, testing, implementation, and user acceptance testing (UAT). Collaborate with technical teams and business stakeholders to ensure project requirements are understood and met. Track project progress, risks, dependencies, and key performance indicators (KPIs). Present findings, insights, and recommendations to support informed decision-making. Maintain consistent evaluation quality and meet project deadlines and task completion targets. Requirements Bachelor's degree in Business Administration, Finance, Computer Science, or a related field. At least 3 years of professional experience as a Business Analyst or in a similar analytical role. Strong analytical thinking, problem-solving, and decision-making skills. Proficiency in Excel and experience with SQL, Power BI, Tableau, or comparable analytical and reporting tools. Experience gathering requirements, documenting functional specifications, and mapping business processes. Strong attention to detail and the ability to compare complex information against defined criteria. Excellent written communication, reporting, and documentation skills. Ability to collaborate with cross-functional teams and manage multiple priorities independently. Willingness to work five days per week, including weekends when required, with two weekdays off during the project.

Location: South Africa; Pakistan; Poland; United Kingdom; United States; Canada About Huzzle At Huzzle, we connect talented professionals with exciting opportunities at leading companies across the US, UK, Canada, Europe, and Australia. Our clients range from fast-growing startups to established businesses in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing agencies, we place you directly within a client’s team, where you can take ownership of your work, grow your career, and build long-term professional stability. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a motivated, results-oriented Sales Development Representative to join a growing sales team. In this role, you will play a key part in driving business growth by engaging potential clients and building a strong sales pipeline. This is a fast-paced opportunity for an experienced sales professional who thrives on high-volume outreach and has the skills to turn cold prospects into valuable discovery calls. Key Responsibilities Execute high-volume outbound prospecting through phone calls, emails, and social media channels. Qualify leads through thorough discovery to identify prospects who align with our B2B solutions. Keep the CRM pipeline organized and up to date, accurately recording all activities and lead stages. Book and hand over qualified introductory meetings to Account Executives. Consistently achieve or exceed monthly and quarterly targets for qualified sales opportunities. Stay informed about industry trends and product offerings to communicate confidently and provide relevant insights during initial outreach. Requirements A proven track record of success in B2B sales environments. Confidence in high-volume cold calling and meeting demanding daily outreach targets. Excellent verbal and written communication skills. Strong organizational and time-management abilities, with the capacity to thrive in a fast-paced environment. Resilience, persistence, and a competitive mindset focused on exceeding targets. Familiarity with modern sales tools such as Salesforce, Outreach, Gong, or similar platforms. Previous experience working in a high-growth startup or technology-driven company. A solid understanding of account-based marketing (ABM) strategies. Benefits 🌎 Enjoy the flexibility of working remotely. 🚀 Collaborate with fast-growing international companies. 🎯 Earn bonuses and incentives based on your results. 🤝 Join global client teams directly, rather than working through an outsourcing arrangement. 🧠 Benefit from continuous mentorship, and sales growth support.

Location: Spain; United Kingdom; Colombia; Germany; Austria; Portugal About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for an ambitious, German-speaking Sales Development Representative to revolutionize how traditional industries—like manufacturing and logistics—approach sales. In this role, you will be the engine of the growth team, leveraging an AI-powered sales assistant platform to help B2B SMEs digitize their field sales efforts. You will play a critical role in expanding the footprint across the DACH region, turning cold prospects into high-value partnerships within a rapidly scaling tech environment. Key Responsibilities Pipeline Generation: Own the top-of-funnel outbound strategy, aiming to book 20–40 qualified meetings per month with decision-makers at trade-fair-intensive industrial SMEs. Multi-Channel Outreach: Execute high-volume outreach including cold calling, personalized LinkedIn engagement, and managing Lemlist email sequences. Lead Qualification: Qualify inbound leads from major industry trade shows (e.g., AMB, EuroBLECH) and outbound prospects using BANT criteria to ensure high-quality handoffs. CRM Excellence: Maintain impeccable data integrity within HubSpot, ensuring every touchpoint, lead status, and context note is accurately logged. Strategic Iteration: Partner with the GTM team to test and refine messaging, positioning, and objection handling based on real-time market feedback. Strategic Research: Personalize outreach based on specific company signals, such as recent hires, tech stack, or trade show attendance, rather than relying on generic templates. Requirements Language Mastery: Native or professional fluency in both German and English (written and verbal). Sales Experience: Proven track record in B2B SaaS sales, specifically selling to SMEs in traditional sectors like manufacturing, logistics, or construction. Location & Availability: Must be based in the CEE region and able to provide consistent overlap with the Berlin timezone (08:30–15:00). Persistence: High energy and resilience for daily cold calling and objection handling. Tech Literacy: Ability to quickly adopt and utilize AI-powered sales tools and CRM workflow Nice-to-Haves Industry Expertise: Prior experience within Manufacturing, Electronics, Logistics, or Supply Chain sectors Tool Stack Mastery: Familiarity with HubSpot, Apollo.io, Lemlist, Slack, and Claude Sales Craft: Advanced skills in outbound messaging, cold emailing, and full-cycle sales strategies Benefits 💰 Competitive base salary with a clear commission structure 🚀 Work with high-growth international companies 📈 Clear career progression to Account Executive and beyond 🎯 Performance-based bonuses and incentives 🤝 Direct hire with global clients (not outsourced) 🧠 Ongoing training, mentorship, and sales development support

Location: Pakistan; United Kingdom; Canada; United States; Philippines About Huzzle At Huzzle, we connect talented B2B sales professionals with leading companies across the UK, US, Canada, Europe, and Australia. Our clients range from fast-growing startups and digital agencies to tech-driven businesses in industries such as SaaS, MarTech, FinTech, and EdTech. We match top sales talent with full-time, remote opportunities where they work directly as part of client teams, with ongoing support from Huzzle throughout their journey. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a proactive, detail-oriented Account Manager to oversee a diverse and growing portfolio of clients. In this role, you will focus on strengthening client relationships, improving customer retention, driving product adoption, and building long-term partnerships. This is a dynamic, fast-paced opportunity for a strong communicator who can effectively manage multiple accounts while delivering an exceptional client experience. You will play a key role in the team’s success by understanding client needs, aligning them with our solutions, and ensuring ongoing value and satisfaction. Key Responsibilities Manage and strengthen relationships across a high-volume portfolio of client accounts, driving long-term satisfaction and retention. Serve as the primary point of contact for assigned clients, addressing queries and resolving issues promptly and effectively. Identify opportunities to expand accounts and drive growth through proactive engagement and strategic recommendations. Track account health indicators, identify potential churn risks, and implement proactive retention strategies. Lead the onboarding of new clients, ensuring a smooth transition and helping them realize value from the product or service as quickly as possible. Work closely with internal product and support teams to communicate client feedback, address concerns, and contribute to product and service improvements. Keep client interactions, account updates, and pipeline activity accurately documented in the CRM. Requirements At least 3 years of experience in Account Management, Customer Success, or a related client-facing role. Proven ability to manage a large portfolio of clients while maintaining high service standards and strong relationships. Excellent organizational and time-management skills, with the ability to prioritize competing demands in a fast-paced environment. Strong communication and interpersonal abilities, with a knack for building trust and rapport with clients. A demonstrated track record of achieving or exceeding client retention, satisfaction, and account growth targets. Strong analytical skills, with the ability to interpret data, identify trends, and communicate meaningful insights to stakeholders. Benefits 💻 Work Remotely: Collaborate with international teams from wherever you are 🚀 Career Development: Explore opportunities with leading companies in SaaS, MarTech, and B2B services 🤝 Professional Network: Connect with a community of talented, high-performing sales professionals 🧭 Continued Support: Benefit from guidance and support from Huzzle throughout your placement journey 💰 Flexible Compensation: Explore salary opportunities aligned with your experience, preferences, and career goals

Location: Canada; United States About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the Company Our client is a high-growth data intelligence and strategic research consultancy that helps organizations turn complex information into measurable business value. Specializing in data activation and platform implementation, the team bridges the gap between technical architecture and commercial strategy. They serve high-stakes industries including financial services, healthcare, and retail by building governed data solutions that drive confident, evidence-led decision-making. Operating with a senior-led model, the firm prioritizes business outcomes over technology checklists, utilizing deep expertise in research design and engineering to solve critical challenges. The team is built on a culture of platform honesty and bounded delivery, moving away from traditional staffing pyramids toward a more focused, impactful approach. This is an opportunity to join a specialized group of practitioners dedicated to transforming how modern enterprises utilize data to achieve clarity and results. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a high-octane Sales Executive to lead a critical expansion phase for a premier digital marketing agency. Having dominated the automotive and collision repair space, the team is now scaling into new verticals. We need a full-cycle closer who thrives in the "zero-to-one" phase—someone who can hunt, consult, and close high-value retainers while leveraging modern AI tools to outpace the competition. This is an opportunity to report directly to GTM leadership and shape the growth trajectory of a fast-moving, distributed agency. Key Responsibilities Execute the full sales cycle from proactive lead generation and outbound prospecting to discovery, proposal, and closing. Identify and penetrate new market verticals, translating the agency's proven success in automotive into fresh industries. Conduct deep-dive discovery sessions to understand client pain points and pitch complex, multi-channel marketing retainers. Manage a clean and rigorous pipeline within HubSpot, ensuring all data is accurate and actionable. Collaborate with the creative and performance teams to ensure proposals are feasible and aligned with client goals. Integrate AI tools into your daily workflow to accelerate prospecting, personalize outreach, and streamline administrative tasks. Requirements Location: Must be based in the United States or Canada. Agency Experience: Proven track record selling professional services within a digital marketing agency environment. Full-Cycle Expertise: Demonstrable experience running the entire sales process; we are looking for a closer, not just an SDR or account manager. Proven Performance: A history of hitting or exceeding quotas with specific revenue numbers to back it up. Tech-Forward: You are an early adopter of AI tools and can articulate how you use them to gain a competitive edge. Digital Literacy: Deep understanding of the digital marketing landscape, including performance marketing, SEO, and creative strategy. Sales Hygiene: Disciplined CRM habits (HubSpot preferred) and a structured approach to pipeline management. Benefits 💰 Competitive salary and uncapped commission structure 🌎 Fully remote work environment 🚀 Career growth and leadership opportunities 📈 Long-term stability in a growing market 🎯 Performance-based incentives and bonuses

Location: South Africa; United Kingdom; United States; Pakistan; Canada; Poland About Huzzle At Huzzle, we connect talented professionals with exciting opportunities at leading companies across the US, UK, Canada, Europe, and Australia. Our clients range from startups and digital agencies to technology platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing agencies, we place you directly within a client’s team, where you’re hired in-house and become a valued member of their business. Job Summary We’re seeking an experienced Account Executive / Sales Closer with a strong track record of converting qualified opportunities into successful deals. This remote sales opportunity is ideal for a confident, commercially driven professional who can take ownership of the closing process, lead discovery calls and product presentations, handle objections effectively, negotiate terms, and confidently close deals. The ideal candidate will have at least 3 years of professional sales experience, including hands-on experience closing high-ticket deals. Experience selling in the technology, SaaS, or related B2B sectors is strongly preferred. Key Responsibilities Manage qualified sales opportunities from discovery through negotiation and final deal closure. Lead effective discovery calls to understand prospects’ needs, challenges, budgets, and purchasing motivations. Deliver compelling sales presentations, product demos, and closing conversations. Clearly communicate product value and demonstrate ROI to potential customers. Handle objections related to pricing, timing, competitors, and decision-making with confidence. Follow up consistently and keep prospects engaged throughout the sales cycle. Negotiate commercial terms and drive opportunities toward successful closure. Keep CRM records accurate and up to date, including pipeline activity, sales opportunities, and customer details. Work closely with SDRs, marketing, customer success, and other internal teams to support sales efforts. Consistently meet or exceed individual sales quotas and revenue targets. Identify opportunities to improve conversion rates and strengthen overall sales performance. Requirements 3+ years of sales experience, preferably in an Account Executive, Sales Executive, Business Development, or closing-focused role. Essential experience in high-ticket sales and successfully closing deals. A proven track record of consistently meeting or exceeding sales targets. Strong abilities in discovery, objection handling, negotiation, and deal closure. Excellent spoken and written English, with confident client-facing communication skills. Comfortable conducting sales conversations through video calls, phone calls, email, and other remote channels. Experience managing sales pipelines and using CRM platforms effectively. Strong commercial acumen, with the ability to communicate value and ROI rather than competing on price alone. Self-motivated, accountable, and driven to achieve ambitious revenue goals. Experience in technology, SaaS, software, or other B2B technology industries is preferred. Benefits 💰 Earn a competitive salary. 🌎 Enjoy the flexibility of working remotely. 🚀 Work with fast-growing international companies and innovative products. 📈 Access clear opportunities to progress into senior sales and leadership positions. 🎯 Benefit from bonuses and rewards tied to your results 🤝 Join a supportive, high-performing sales team focused on success.

Location: Dubai, United Arab Emirates; Doha, Qatar; Muscat, Oman; Riyadh, Saudi Arabia; Abu Dhabi, United Arab Emirates; Ras Al-Khaimah, United Arab Emirates Apt Resources is currently recruiting enthusiastic and dedicated individuals for the position of Waiter/Waitress at an upmarket casual dining restaurant. This vibrant establishment is known for its exceptional service, inviting atmosphere, and a menu that showcases innovative dishes made from high-quality ingredients. As a Waiter/Waitress, you will be responsible for providing a delightful dining experience for our guests. You will greet customers, take their orders, serve food and beverages, and ensure that their needs are met throughout their visit. Your role is critical in creating a warm and welcoming environment, ensuring that every guest leaves with a memorable experience. Responsibilities Welcome and greet guests promptly upon arrival Present menus and provide detailed information about menu items, specials, and recommendations Take accurate food and drink orders using the restaurant's ordering system Serve orders promptly and monitor guest satisfaction throughout the meal Prepare tables by setting up linens, utensils, and glassware Collaborate with kitchen staff to ensure timely and accurate delivery of meals Address customer inquiries or concerns with professionalism and positivity Maintain cleanliness and organization of dining areas Process payments accurately and efficiently Upsell menu items and promote special offers when appropriate Requirements Proven experience as a Waiter/Waitress in a casual dining environment, preferably in an upmarket setting Excellent customer service skills and a friendly, approachable demeanor Strong communication skills and the ability to work well in a team Knowledge of food and beverage menus and pairing options Ability to multitask and manage time effectively in a fast-paced environment Attention to detail and commitment to maintaining high service standards Availability to work flexible hours, including evenings and weekends High school diploma or equivalent; relevant training or certifications are a plus Benefits The salary is AED 1700 - 2400 + AED 400 Food allowance + AED 250 to 450 (Service charge Avg) +AED 1200 Credit card tips + Cash tips + free Accommodation + Transport + uniforms + Health insurance + air ticket ( once every two years) + Paid leave as per UAE laws

Location: Kazakhstan; Armenia; Uzbekistan; Serbia ETG Marketing Hub serves as the central gateway for all marketing activities across ETG’s brands and external channels. We are now launching a new business line — the ETG Marketing Network — enabling advertising placements with leading travel and adtech partners (including display, CTV, mobile, metasearch, social, influencer marketing, and more). Powered by ETG’s rich travel data and booking-level measurement, this network delivers high-impact marketing opportunities. In this role, you will take the network from strategy and pilot projects through to recurring sales and scalable growth. Responsibilities: Strategy and roadmap. Define positioning, priority markets, channels and partners, and set out the stages: pilot, recurring sales, scaling, automation. Partner network. Source, evaluate and onboard adtech/DSP, metasearch, CTV/mobile/social and influencer platforms, including niche and closed inventory. Lead negotiations and manage partner relationships and quality. Monetization model. Structure terms with partners (revenue share, commission, additional margin), model unit economics and own the P&L of the business line. Offers and packages. Package external channels into clear products, including bundles with ETG inventory, and define pricing. Data and measurement. Together with the data, legal and product teams, define how ETG data and audiences are used in external channels, and set up measurement down to bookings. Ensure compliance with data regulations (GDPR and regional rules). Sales together with the Marketing Hub team. Support the sales team: prepare case studies, materials and pitches, and join key deals with hotels, DMOs, airlines and rail operators. Campaign launch and management. Build the process from brief to reporting (media planning, launch, optimization, reporting) and decide what we do ourselves and what we delegate to partners. Internal partners. Work closely with ETG’s marketing and direct supply teams (who interface with hoteliers and hospitality partners), leveraging their expertise and relationships both as routes to new clients and as sources of valuable market insights. Team Development: Begin as a hands-on contributor driving pilot projects and early-stage partnerships. As the business line develops, take the lead in building out a specialist team (including campaign/account managers, analysts, and partnership managers) to support further growth and scale. Requirements 3+ years in adtech/Business Development/partnerships on the side of platform, network, DSP, or agency, with proven deals and negotiations Solid grasp of programmatic and performance metrics (CPA, ROAS, attribution, etc.) at a level sufficient to evaluate partners and verify results personally Clear strategic thinking: defining positioning, packaged offers, pricing, growth roadmap Hands-on: initiating partnerships, running campaigns, supporting sales teams, owning processes and P&L Fluency in English; additional languages are a plus Preferred Qualifications: Experience launching new business lines or products from scratch, especially in settings with limited budget or resources Prior experience in the travel or hospitality industry Benefits Fully remote work; flexible working schedule. Ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: https://emergingtravel.notion.site/recruitment-privacy-notice

Location: Dubai, United Arab Emirates We are currently looking for a strong Senior SMM Manager based in Dubai with exceptional visual taste, high content awareness and strong experience in UAE market. We work with global premium and luxury brands (including Bentley, Trussardi, Elie Saab, and others). Key Responsibilities: • Develop content strategies and editorial guidelines across all group brands. • Manage 4+ accounts across multiple platforms (Instagram, LinkedIn, etc.). • Align key content directly with the agency CEO. • Build and optimize internal SMM workflows independently - no micromanagement. • Track channel metrics using specialized SMM analytics tools and platforms to continuously optimize performance. Requirements • Dubai-based experience is required. • Agency background working with diverse clients and products. • Experience in Real Estate or Luxury segments is a strong plus. • Figma proficiency: Practical skills to create or quickly modify layouts, design social media grids, and prepare brief templates for design teams. • Practical experience with SMM analytical platforms. • Languages: Fluent English, Russian would be a plus. • Process-oriented mindset: Ability to build workflows from scratch. • Growth Ambition: High potential and motivation to step into a Team Lead role. Portfolio Requirements: • Agency cases across diverse niches and products. • Strong visual aesthetics and high-end content examples. • Results in Premium or B2B segments are a big plus. Benefits • Competitive salary package. • UAE Residency Visa & Medical Insurance. • Paid annual leave. • Fast career growth within a high-profile, growing company.

Location: Dubai, United Arab Emirates We are seeking a highly accomplished Planning Manager to take strategic ownership of planning, scheduling, and project controls for major, high-value construction and real estate developments in Dubai. This is a key leadership role for a seasoned planning professional with a proven track record in major residential and luxury real estate projects . As Planning Manager, you will oversee project planning strategy across all project phases, lead planning teams, drive schedule performance, and act as a trusted advisor to Project Directors and Senior Leadership. Working closely with Project Directors, senior executives, and key stakeholders, you will ensure complex, large-scale projects are delivered against ambitious timelines while establishing robust planning standards, proactively managing risks, and steering governance. Key Responsibilities Strategic Planning Leadership: Define, implement, and govern overall project planning, scheduling strategies, and project control frameworks across major construction developments. Team Management & Development: Lead, mentor, and manage planning engineers and project controls professionals, fostering high standards of performance and operational excellence. Master Schedule Ownership: Direct the development, integration, and management of baseline programmes, integrated master schedules, and resource/cost-loaded schedules aligned with contractual obligations and business objectives. Risk & Delay Management: Drive critical path analysis, scenario planning, schedule risk assessments, and delay impact analysis (including Extension of Time - EOT claims strategy) to safeguard project targets. Governance & Performance Monitoring: Challenge progress assumptions, monitor performance against approved baselines, and hold internal teams, consultants, and contractors accountable for schedule commitments. Executive Reporting & Stakeholder Alignment: Lead the preparation and presentation of high-level executive dashboards, progress reports, and strategic insights for senior leadership and Project Directors. Contractor & Subcontractor Oversight: Review, evaluate, and approve contractor/subcontractor programmes to ensure full compliance with project and contractual requirements. Continuous Improvement: Establish best practices, refine reporting standards, and modernize project controls and planning methodologies across the organization. Requirements Education: Bachelor’s degree in Civil Engineering, Construction Management, or a related field. Experience: 10+ years of progressive experience in project planning and controls, with proven experience in a leadership or managerial capacity on major, large-scale construction/real estate projects in the UAE/GCC region. Expertise: Deep expertise in planning software (Primavera P6, MS Project), critical path analysis, forensic delay analysis, and EOT claims management. Leadership & Stakeholder Management: Exceptional leadership skills with a track record of managing planning teams and interacting directly with C-suite executives, clients, and main contractors. Language: Professional working proficiency in English. Benefits Competitive salary package Official UAE employment status Comprehensive medical insurance coverage Opportunity to lead planning strategy on iconic developments in Dubai Direct collaboration with executive leadership and key industry players Working schedule: 6 days per week - Monday to Saturday, (Sunday is a day off).

Разработка микросервисов на Python (FastAPI, asyncio) для обработки финансовых данных; Интеграция с Kafka, PostgreSQL, ClickHouse, Formance Ledger через API;

разрабатывать и развивать пользовательские интерфейсы порталов и личных кабинетов на vue 3.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From “How do I fix a leaky faucet?” to “What should I watch next?”, the Answers Relevance team leverages AI to connect people with the real-world wisdom of Reddit communities. We’re hiring Senior and Staff Machine Learning Engineers to make Answers smarter, more relevant, and more helpful. Our SOTA AI systems helps surface the right conversations, but the heart of Answers is still people helping people ~ Redditors sharing what they know with each other! What You’ll Work On You’ll lead ML projects from idea to production, partnering with Product, Data Science, and Engineering across recommendations, search, messaging, and AI systems. You don’t need experience in every area listed below. A background in a few may make you a great fit! Recommendations, search, content understanding, or large-scale data and ML infrastructure SOTA large scale RecSys Foundational retriever models RAG systems, retrieval methods, LLM evaluation, or production LLM features Agentic AI, such as tool calls, MCPs, multi-agent systems, or orchestration Self-hosted open-weight models such as Qwen or Llama; prompt engineering, fine-tuning, post-training, or prompt optimization Improving grounding, instruction following, and hallucination; evaluating retrieval and generation quality Scaling LLM systems, including latency, caching, and cost; safety measures for prompt injection and unsafe inputs Defining product success metrics, feedback loops, and evaluation approaches, including human review What You’ll Do Build and improve large-scale ML systems, including retrieval and ranking, embeddings, and LLM-powered features Set technical direction and deliver measurable user and business impact Work with partner teams to shape product and technical roadmaps Evaluate new AI/ML approaches and support responsible LLM development Mentor engineers and contribute to long-term ML planning Required Qualifications 4–12 years of experience building, deploying, and operating ML systems in production Broad knowledge of ML fundamentals and experience applying them in production; expert-level modeling depth isn’t required Experience developing and productionizing models with TensorFlow, PyTorch, or Hugging Face Transformers Experience writing production-quality code, including testing, evaluation, and monitoring; Python experience required, Golang experience a plus Experience with ML systems such as data pipelines, feature engineering, model training and serving, and production monitoring Strong communication and collaboration skills, and a record of delivering measurable product impact Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.