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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. 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. 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: 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: 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: Argentina; Bolivia, Plurinational State of; Brazil; Chile; Colombia; Venezuela, Bolivarian Republic of 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. Job Summary We are seeking a results-driven Account Executive to play a key role in driving revenue growth and building strong client relationships. In this role, you will manage the sales process from prospecting and lead qualification through to negotiations and closing deals. This is an exciting opportunity for an experienced sales professional to take ownership of a sales pipeline, build meaningful relationships with potential clients, and drive business growth in a fast-paced, international environment. Key Responsibilities Manage qualified sales opportunities from initial discovery through negotiation and deal closure. Lead effective discovery calls to understand prospects’ needs, challenges, budgets, and purchasing motivations. Deliver compelling sales presentations, product demonstrations, and closing conversations. Communicate product value clearly and demonstrate ROI to potential customers. Address objections related to pricing, timing, competitors, and the decision-making process with confidence. Maintain consistent follow-ups and keep opportunities progressing throughout the sales cycle. Negotiate commercial terms and work toward achieving revenue goals. Keep CRM records up to date, including pipeline activity, sales opportunities, and customer information. Partner with SDRs, marketing, customer success, and other internal teams to support the sales process. Consistently meet or exceed individual sales quotas and revenue targets. Identify ways to improve conversion rates, streamline sales processes, and enhance overall performance. Requirements 3+ years of professional sales experience, preferably in an Account Executive, Sales Executive, Business Development, or closing-focused role. Demonstrated experience in high-ticket sales and successfully closing deals. A proven track record of meeting or exceeding sales targets. Strong skills in discovery, objection handling, negotiation, and closing. Excellent spoken and written English, with confident client-facing communication skills. Comfortable engaging prospects through video calls, phone calls, email, and other remote communication channels. Experience managing sales pipelines and working with CRM platforms. Strong commercial acumen, with the ability to communicate value and ROI rather than competing on price alone. Self-driven, accountable, and motivated to achieve ambitious revenue goals. Previous experience in Tech, SaaS, software, or other B2B technology sectors is preferred. Benefits 💰 Competitive salary 🌎 Fully remote role with flexible work environment 🚀 Work with high-growth global companies and innovative products 📈 Clear progression path into senior sales or leadership roles 🎯 Performance-based incentives and bonuses 🤝 Collaborative, high-performance sales culture

Location: New Delhi, India We are seeking an experienced Enterprise Architect to define, develop, and govern the enterprise architecture strategy, frameworks, standards, and roadmaps, ensuring alignment between business objectives, technology capabilities, and organizational priorities. The role will drive enterprise-wide architecture across computing and cloud platforms, communications and network infrastructure, data and artificial intelligence, cybersecurity, and business architecture. The successful candidate will provide architectural leadership, establish target-state architectures and reference designs, and ensure that enterprise solutions are scalable, secure, resilient, compliant, and aligned with the organization’s strategic goals. Key Responsibilities: Develop and maintain enterprise business and cybersecurity architecture frameworks, standards, and governance practices. Translate business strategies, operating models, and processes into architecture artifacts that guide enterprise initiatives and technology alignment. Design and oversee cybersecurity architecture to protect information assets, systems, and infrastructure. Ensure alignment with applicable cybersecurity regulations, controls, and industry standards. Collaborate with business and technology stakeholders to identify architecture gaps, assess risks, and recommend improvements. Support enterprise transformation initiatives by ensuring business objectives, technology capabilities, and security requirements are effectively integrated. Qualifications and Experience: Bachelor’s degree in Computer Science, Business Management, or an equivalent discipline; Master’s degree preferred. 10+ years of relevant experience in enterprise architecture, business architecture, cybersecurity, or business analysis. Strong experience in architecture governance, business process modeling, cybersecurity controls, risk management, and enterprise technology alignment. Knowledge of relevant enterprise architecture frameworks, cybersecurity standards, and regulatory requirements.

Создавать и поддерживать IaaS для множества собственных проектов компании на собственных ресурсах и арендуемых сервисах. Работать над повышением стабильности и отказоустойчивости инфраструктуры и инфраструктурных сервисов.

Location: Remote-Friendly, United States 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 is building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate. We are looking for a Community Engagement Manager in Indiana and Kentucky to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations. You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand. You will travel regularly within Indiana and Kentucky, up to 50% of the time, and occasionally to other Anthropic data center markets. Key responsibilities Build and maintain trusted, sustained relationships with county commissioners and councils, Kentucky fiscal courts and judge-executives, mayors and city councils, plan commissions and zoning boards, state and regional economic development organizations, community groups, civic leaders, educational institutions, and workforce partners in the Indiana and Kentucky data center markets you cover Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate Represent Anthropic in public forums, town halls, planning hearings, community events, and local media Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced Work with the Communications team to develop proactive, locally relevant messaging Coordinate charitable giving, community investment, and economic development commitments in your markets, including managing nonprofit partner relationships Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, and land use, including how large electricity needs are served by local utilities and rural electric cooperatives Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows Minimum qualifications Experience in community affairs, public affairs, economic development, government relations, local or state government, or a closely related field Direct experience working for or engaging with county and municipal governments and a broad set of community stakeholders on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations The ability to represent a company credibly in public settings, including town halls, hearings, and press interviews Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them Based in Indiana or Kentucky or willing to relocate to one of them, and prepared to travel regularly across both states Preferred qualifications 7+ years of experience in community engagement specifically on data center, utility, energy, or large-scale industrial infrastructure projects, or in local government Familiarity with land use, zoning, and permitting processes at the county and municipal level in Indiana and/or Kentucky, including local tax abatement and incentive approvals Experience managing corporate social responsibility programs Established relationships with economic development, workforce, or civic organizations in the markets this role covers Experience working with real estate, legal, communications, and policy teams at the same time A genuine interest in the communities where you work, not just the projects you are managing 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: $265,000 — $295,000 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. 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: San Francisco, CA 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. 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: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada. The Opportunity: Application Core Services (AppCore) is a group within Platform, in the Foundations department. Foundations produces the Internal Engineering Platform (IEP) and partners closely with our Cloud, Enterprise, and Grafana teams. Our team develops the essential systems driving Grafana's business operations. We utilize the grafana.com platform to engineer bespoke integrations and solutions that unify the diverse technical ecosystem of a modern software enterprise. The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculations, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts. This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana Cloud scales. We are looking for engineers who enjoy solving complex workflow and systems problems, improving reliability and developer experience, and building software that directly supports both customers and internal stakeholders. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineers at Grafana Labs also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope. What You’ll Be Doing: The Usage squad owns the essential systems driving Grafana's business operations and customer usage calculations. Our domain encompasses maintaining the billing engine responsible for customer usage calculation, cost management and billing applications, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the customer user portal. Our work sits at the intersection of product, platform, and business operations. We build full-stack web applications, customer portals, backend services, APIs, and data integrations across internal Grafana platforms and third-party systems like NetSuite and Salesforce. When this domain works well, customers get clear usage visibility, reliable billing, and seamless account management workflows. This role is about 75% FrontEnd and 25% BackEnd. Design, build, operate, and evolve reliable full-stack web applications, customer-facing account portals, and backend services that power core customer usage and billing workflows Build and maintain backend APIs (Golang, Node.js) and intuitive user interfaces using modern frontend technologies (TypeScript, React) Design and maintain integrations between Grafana systems and external business platforms such as NetSuite, Salesforce, and cloud marketplaces (AWS, Azure, GCP) Develop and automate business logic for customer usage metering, pricing structures, promotions, and billing reconciliation Collaborate across product management, DealOps, GTM, Support, and adjacent AppCore squads to deliver robust end-to-end features Address technical debt, optimize CI/CD pipelines, strengthen test coverage, and improve system observability and operational resilience Provide technical leadership and mentorship to engineers while shaping pragmatic solutions for complex systems challenges Contribute to roadmap planning, technical design, OnCall improvements, and long-term simplification of stack operations You will help own the production behavior of the systems you build. That includes improving runbooks, dashboards, alerts, reconciliation safety, rollout controls, and recovery procedures. You should be comfortable debugging across service boundaries and making careful changes in systems that affect customer stacks What Makes You a Great Fit: At Grafana, we actively embrace AI-assisted and agentic development practices, integrating these technologies into both our engineering workflows and the systems we deliver. We encourage our engineers to thoughtfully leverage AI tools to enhance every stage of the lifecycle, from design and implementation to testing, documentation, and operations. We also look for strategic opportunities to embed agentic capabilities within our services to eliminate toil, bolster reliability, and ensure that complex customer workflows remain resilient and safe. We are seeking a Staff FullStack Engineer who thrives on building production systems where correctness, scalability, and user experience are paramount. As a remote-first organization, you should be comfortable collaborating asynchronously across time zones and taking full ownership of the critical systems powering Grafana Cloud. Our team is small and operates with a high degree of independence; you will be expected to lead major projects, coordinate across service boundaries, and help define the technical direction for our domain. You will be particularly successful in this role if you enjoy solving challenges related to stateful systems, eventual consistency, and reconciliation loops. We value engineers who can take ambiguous lifecycle requirements and transform them into explicit, modular solutions. You should be adept at breaking down complex systems work into safe, iterative increments while clearly communicating technical tradeoffs to both internal stakeholders and adjacent product teams. Some things you might be expected to do could include: Writing efficient, readable, and easy to maintain code Designing new microservices or systems Collaborating with teammates and other departments to reach consensus on proposed solutions Coordinating with product and UX when needed Responding to customer requests and feedback When ready, participating in our follow-the-sun OnCall rotation Participating in team decisions, such as roadmap planning and prioritization Requirements: You have at least 1 year of fully remote work experience You have worked on a big SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …) Strong professional experience with backend technologies (Golang, Node.js) as well as modern frontend web development (TypeScript, React) Care deeply about developer and user experience and the quality of the products that you work on Have some experience with delivering projects from gathering requirements, and brainstorming ideas to shipping a product to the customer’s hands in a self-driven way You write clean, robust, well-tested software that other engineers can understand, operate, and maintain Have experience with mentoring junior engineers in a collaborative but asynchronous environment Can take on complex challenges and break them down to achieve tight learning loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback, and then progress iteratively You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.) Bonus Points For: Experience with high-volume usage metering, billing engines, or customer-facing cost management applications Experience designing, building, and maintaining integrations with third-party business systems (e.g., NetSuite, Salesforce, Cloud Marketplaces) Experience with frontend component libraries, design systems, and modern CSS-in-JS tooling Familiarity with cloud marketplace integrations (AWS, Azure, GCP) and SaaS provisioning/tenancy patterns Experience working on SaaS provisioning, tenancy, regional expansion, plugin rollout, or customer lifecycle systems Experience with incident response involving configuration drift, partial failure, or cross-service state mismatch In the United States, the compensation range for this role is $174,986 - $209,983 USD.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada. The Opportunity: Application Core Services (AppCore) is a group within Platform, in the Foundations department. Foundations produces the Internal Engineering Platform (IEP) and partners closely with our Cloud, Enterprise, and Grafana teams. Our team develops the essential systems driving Grafana's business operations. We utilize the grafana.com platform to engineer bespoke integrations and solutions that unify the diverse technical ecosystem of a modern software enterprise. The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculations, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts. This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana Cloud scales. We are looking for engineers who enjoy solving complex workflow and systems problems, improving reliability and developer experience, and building software that directly supports both customers and internal stakeholders. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineers at Grafana Labs also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope. What You’ll Be Doing: The Usage squad owns the essential systems driving Grafana's business operations and customer usage calculations. Our domain encompasses maintaining the billing engine responsible for customer usage calculation, cost management and billing applications, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the customer user portal. Our work sits at the intersection of product, platform, and business operations. We build full-stack web applications, customer portals, backend services, APIs, and data integrations across internal Grafana platforms and third-party systems like NetSuite and Salesforce. When this domain works well, customers get clear usage visibility, reliable billing, and seamless account management workflows. This role is about 75% FrontEnd and 25% BackEnd. Design, build, operate, and evolve reliable full-stack web applications, customer-facing account portals, and backend services that power core customer usage and billing workflows Build and maintain backend APIs (Golang, Node.js) and intuitive user interfaces using modern frontend technologies (TypeScript, React) Design and maintain integrations between Grafana systems and external business platforms such as NetSuite, Salesforce, and cloud marketplaces (AWS, Azure, GCP) Develop and automate business logic for customer usage metering, pricing structures, promotions, and billing reconciliation Collaborate across product management, DealOps, GTM, Support, and adjacent AppCore squads to deliver robust end-to-end features Address technical debt, optimize CI/CD pipelines, strengthen test coverage, and improve system observability and operational resilience Provide technical leadership and mentorship to engineers while shaping pragmatic solutions for complex systems challenges Contribute to roadmap planning, technical design, OnCall improvements, and long-term simplification of stack operations You will help own the production behavior of the systems you build. That includes improving runbooks, dashboards, alerts, reconciliation safety, rollout controls, and recovery procedures. You should be comfortable debugging across service boundaries and making careful changes in systems that affect customer stacks What Makes You a Great Fit: At Grafana, we actively embrace AI-assisted and agentic development practices, integrating these technologies into both our engineering workflows and the systems we deliver. We encourage our engineers to thoughtfully leverage AI tools to enhance every stage of the lifecycle, from design and implementation to testing, documentation, and operations. We also look for strategic opportunities to embed agentic capabilities within our services to eliminate toil, bolster reliability, and ensure that complex customer workflows remain resilient and safe. We are seeking a Staff FullStack Engineer who thrives on building production systems where correctness, scalability, and user experience are paramount. As a remote-first organization, you should be comfortable collaborating asynchronously across time zones and taking full ownership of the critical systems powering Grafana Cloud. Our team is small and operates with a high degree of independence; you will be expected to lead major projects, coordinate across service boundaries, and help define the technical direction for our domain. You will be particularly successful in this role if you enjoy solving challenges related to stateful systems, eventual consistency, and reconciliation loops. We value engineers who can take ambiguous lifecycle requirements and transform them into explicit, modular solutions. You should be adept at breaking down complex systems work into safe, iterative increments while clearly communicating technical tradeoffs to both internal stakeholders and adjacent product teams. Some things you might be expected to do could include: Writing efficient, readable, and easy to maintain code Designing new microservices or systems Collaborating with teammates and other departments to reach consensus on proposed solutions Coordinating with product and UX when needed Responding to customer requests and feedback When ready, participating in our follow-the-sun OnCall rotation Participating in team decisions, such as roadmap planning and prioritization Requirements: You have at least 1 year of fully remote work experience You have worked on a big SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …) Strong professional experience with backend technologies (Golang, Node.js) as well as modern frontend web development (TypeScript, React) Care deeply about developer and user experience and the quality of the products that you work on Have some experience with delivering projects from gathering requirements, and brainstorming ideas to shipping a product to the customer’s hands in a self-driven way You write clean, robust, well-tested software that other engineers can understand, operate, and maintain Have experience with mentoring junior engineers in a collaborative but asynchronous environment Can take on complex challenges and break them down to achieve tight learning loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback, and then progress iteratively You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.) Bonus Points For: Experience with high-volume usage metering, billing engines, or customer-facing cost management applications Experience designing, building, and maintaining integrations with third-party business systems (e.g., NetSuite, Salesforce, Cloud Marketplaces) Experience with frontend component libraries, design systems, and modern CSS-in-JS tooling Familiarity with cloud marketplace integrations (AWS, Azure, GCP) and SaaS provisioning/tenancy patterns Experience working on SaaS provisioning, tenancy, regional expansion, plugin rollout, or customer lifecycle systems Experience with incident response involving configuration drift, partial failure, or cross-service state mismatch In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Indianapolis, United States; Ohio City, United States; Chicago, United States About us: Shape the Future with AI, Ignite Your Potential Xenon7 is an inferno where skill, dedication and passion run together. About our client: Global healthcare leader headquartered in Indianapolis, Indiana. The Cardiometabolic Research (CMR) Therapeutic Area of our client, focuses on the discovery of biologic, small molecule and genetic therapeutics for the treatment of cardiometabolic diseases and associated complications. The Cloud and Connectivity organization is seeking an engineer in HPC platforms. This role will focus on enabling analytical, statistical, and scientific computing capabilities within high performance computing infrastructure. We are looking for an HPC Platform Engineer to help accelerate the next era of high performance computing innovation. What You’ll Be Doing You will be a leader the engineering and operations of design, build, and maintain scalable HPC platforms. You will play a crucial role in enabling HPC infrastructure and experiences. Collaborate with researchers and scientists to optimize performance and streamline workflows. Leverage tooling and automation for orchestration, resource scheduling, data access, and reproducibility. Evolve and operate public cloud and on-premises environments with a focus on availability and performance for HPC workloads. Define and monitor infrastructure metrics, resource utilization, among others. How You’ll Succeed Be Bold - You will bring a high learning agility and platform engineering skills to enable the Technology strategy, identifying opportunities to accelerate our HPC journey. Be Fast - You will advance initiatives to enable critical business projects. Be Proactive - You will have opportunities to leverage agile ways of working with a willingness to become an expert in deploying HPC solutions. Be Your Best - You will learn about new technologies in HPC. Requirements What You Should Bring Hands-on experience in HPC platforms, including knowledge of accelerators (e.g., GPU), HPC schedulers (e.g., Altair Grid Engine, Slurm), Kubernetes platforms, and containers technologies (Docker, Apptainer). Demonstrated experience in HPC workloads, infrastructure, and cluster architectures. Expertise with the Linux command line, Linux troubleshooting, and HPC administration. Experience with DevOps tools such as Github, Chef, Ansible, Terraform. Experience with automating infrastructure and applications. Passion for continual learning and staying informed of new technologies, infrastructure trends, and approaches in the HPC field. Strong programming and scripting skills in languages such as Python or Bash. Basic Requirements Bachelor’s degree in computer science, Information Technology, or related technical field. 5+ years’ experience HPC Platform Engineer. Demonstrated experience leading a global large-scale infrastructure project. Benefits Attractive, market-leading salary package. Clear career advancement path with professional development opportunities.

Location: Dhahran, Saudi Arabia We are seeking an experienced Enterprise Architect to define, develop, and govern the enterprise architecture strategy, frameworks, standards, and roadmaps, ensuring alignment between business objectives, technology capabilities, and organizational priorities. The role will drive enterprise-wide architecture across computing and cloud platforms, communications and network infrastructure, data and artificial intelligence, cybersecurity, and business architecture. The successful candidate will provide architectural leadership, establish target-state architectures and reference designs, and ensure that enterprise solutions are scalable, secure, resilient, compliant, and aligned with the organization’s strategic goals. Key Responsibilities Define and maintain enterprise architecture frameworks, principles, standards, reference architectures, and technology roadmaps aligned with business strategy. Lead the design and evolution of enterprise technology architectures covering on-premises infrastructure, private and public cloud, high-performance computing (HPC), AI infrastructure, and enterprise platforms. Develop communications architecture across data networks, transmission networks, and satellite communications. Establish enterprise data architecture and governance frameworks, enabling trusted analytics, artificial intelligence, machine learning, and MLOps capabilities. Define and govern cybersecurity architecture to ensure the protection of enterprise systems, infrastructure, applications, and data in accordance with applicable security controls and standards. Translate business strategy, operating models, and business processes into architecture artifacts that support enterprise transformation and technology alignment. Provide architectural assurance and governance for major programs, projects, and technology solutions, ensuring compliance with approved standards and design principles. Identify technology opportunities, assess emerging technologies, and recommend solutions that enhance operational efficiency, scalability, resilience, security, and business value. Collaborate with business stakeholders, technology teams, cybersecurity specialists, and program leaders to ensure cohesive, integrated enterprise solutions. Maintain architecture documentation, identify capability gaps, and develop transition roadmaps to support the organization’s target-state architecture. Qualifications and Experience Bachelor’s degree in Computer Engineering, Computer Science, Business Management, or a related discipline; a Master’s degree is preferred. 10 to 15+ years of relevant professional experience in enterprise architecture, technology architecture, infrastructure, communications, data and AI, cybersecurity, or business architecture. Demonstrated experience developing enterprise architecture strategies, target-state designs, standards, governance frameworks, and implementation roadmaps. Strong understanding of enterprise technology environments, business capabilities, architecture governance, and technology-to-business alignment. Proven ability to lead cross-functional architecture initiatives and engage effectively with senior stakeholders. Excellent analytical, strategic planning, communication, and stakeholder management skills.

Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Trust & Safety Engineering Why this role exists An agent needs more than a model response to complete useful work. It needs tools, durable execution, permissions, context, and a way to recover when something fails. You'll build the backend that lets Higgsfield agents carry creative tasks from a user's request to a finished result. We're looking for an engineer we can trust with a problem: work out what is worth building, build it, and carry it through to users. What you'll actually do - Agent execution: build orchestration for multi-step tasks, tool calls, streaming updates, and cancellation. - Durable workflows: implement checkpoints, resumability, retries, and recovery without duplicating actions. - Tools and integrations: connect agents to generation, editing, and external services through clear, validated interfaces. - Execution boundaries: enforce user permissions, tenant isolation, resource limits, and approval requirements for consequential actions. - Evaluation and observability: trace failures, build regression cases, and improve task completion, latency, and cost. - Ownership: understand a real user task → define success and build evaluation cases → scope the simplest useful workflow → ship → measure completion, reliability, and dollar impact → improve from failed runs. Our release cycle is days, not quarters, so your first shipped agent capability happens fast. Must-haves 1. You've taken a difficult problem from an unclear starting point to a working system used in production, and can explain your own decisions, contribution, and results. 2. You can build reliable agent execution: state machines, concurrency, queues, recovery, model APIs, secure tool calls, and repeatable evaluations. You learn unfamiliar tools quickly and understand what you ship. 3. You choose the next steps, remove blockers, and ask for help when needed. You cut scope to test an idea, adapt from evidence, and keep working through difficult problems. 4. You investigate real user tasks and failed agent runs, use feedback to choose what to automate, and stop workflows that do not help users finish their work. 5. You take feedback, change your mind when the evidence changes, and do the work the team needs. You share knowledge and responsibility so others can operate and extend what you build. Who this is not for - You prefer deterministic application behavior without investigating model uncertainty. - You prefer prototyping without owning evaluation, recovery, and production reliability. Nice to have - Production agents, workflow engines, or developer tools. - High-throughput systems with heavy traffic, large data volumes, or many long-running jobs. - Agent context management, memory, subagents, or parallel tool calls. - Sandboxed execution and scoped authorization. - Multimodal workflows involving images, video, or audio. Interview process 1. Recruiter screen: role expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions. 4. Product fit interview: scope a useful tool-using workflow, evaluate failures, and explain when user feedback would lead you to change or stop it. 5. Offer. What we offer Competitive base in USD, equity, relocation support, and ownership of systems that turn AI capabilities into completed creative work.