Вакансии

Location: San Francisco; New York City Workplace: Hybrid Perplexity is changing how enterprises adopt AI. We're seeking a Solutions Product Marketer to own GTM strategy for our highest-priority verticals, Finance, Healthcare, Legal, and Consulting. You'll go deep on buying motions, use cases, and competitive dynamics, translating insight into campaigns, content, and sales enablement that systematically win each industry. This role sits at the intersection of marketing, sales strategy, and product. You will: - Own vertical GTM as a system, not one-off campaigns - Map how enterprise buyers in each vertical evaluate, purchase, and deploy AI, personas, decision processes, and competitive alternatives - Build and run vertical awareness campaigns across paid, organic, and owned channels, including webinars, landing pages, and industry-specific creative - Arm enterprise sales with battle cards, objection handling, persona-specific talk tracks, and deal-stage content that moves revenue - Develop opinionated thought leadership positioning Perplexity as the authority on AI adoption in each vertical - Instrument and measure vertical performance: pipeline sourced, conversion rates, engagement iterating weekly based on data Qualifications: - 8+ years of product marketing experience, B2B preferred - Proven track record building and executing vertical or industry-specific GTM strategies that drove measurable pipeline - Deep understanding of enterprise buying motions, comfortable with long sales cycles, multi-stakeholder deals, and C-suite messaging - Exceptional storytelling and writing skills, able to distill complex capabilities into simple, compelling narratives across decks, one-pagers, videos, and ROI models - Advanced proficiency using AI tools to drive marketing outcomes - Collaborative, low-ego operator who thrives in fast-paced, small-team environments and owns the full stack of work

Location: San Francisco; New York City Workplace: Hybrid Perplexity is changing how enterprises adopt AI. We're seeking a Solutions Product Marketer to own GTM strategy for our highest-priority verticals, Finance, Healthcare, Legal, and Consulting. You'll go deep on buying motions, use cases, and competitive dynamics, translating insight into campaigns, content, and sales enablement that systematically win each industry. This role sits at the intersection of marketing, sales strategy, and product. You will: - Own vertical GTM as a system, not one-off campaigns - Map how enterprise buyers in each vertical evaluate, purchase, and deploy AI, personas, decision processes, and competitive alternatives - Build and run vertical awareness campaigns across paid, organic, and owned channels, including webinars, landing pages, and industry-specific creative - Arm enterprise sales with battle cards, objection handling, persona-specific talk tracks, and deal-stage content that moves revenue - Develop opinionated thought leadership positioning Perplexity as the authority on AI adoption in each vertical - Instrument and measure vertical performance: pipeline sourced, conversion rates, engagement iterating weekly based on data Qualifications: - 8+ years of product marketing experience, B2B preferred - Proven track record building and executing vertical or industry-specific GTM strategies that drove measurable pipeline - Deep understanding of enterprise buying motions, comfortable with long sales cycles, multi-stakeholder deals, and C-suite messaging - Exceptional storytelling and writing skills, able to distill complex capabilities into simple, compelling narratives across decks, one-pagers, videos, and ROI models - Advanced proficiency using AI tools to drive marketing outcomes - Collaborative, low-ego operator who thrives in fast-paced, small-team environments and owns the full stack of work

Location: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey's users are among the most sophisticated professionals - from managing partners and practice leaders at global law firms to GCs and legal operations executives in-house, and tax and finance leaders adopting AI across their organizations. These professionals are navigating a fundamental shift in how their work gets done. Reaching them starts with deeply understanding the realities of that work: the problems worth solving, the outcomes that matter, and the questions and skepticism that come with adopting AI. Our best campaigns turn that understanding into ideas and experiences that are useful, credible, and relevant to where each audience is on that journey. The Integrated Campaigns Lead will build the function responsible for doing exactly that. You'll set Harvey's global integrated campaign strategy: defining our priority audiences, sharpening how we position Harvey, and designing coordinated programs that build awareness, deepen engagement, and drive growth. You'll establish the campaign operating model, prove what works, and build the team and capabilities to scale it globally. This is a strategic player-coach role with meaningful influence across the company. You'll shape go-to-market priorities alongside leadership across marketing, product, GTM, and you'll stay close enough to the work to write the message, understand the data, and improve the campaign when it matters. WHAT YOU'LL DO - Set Harvey's global integrated campaign strategy. Define the audiences, segments, narratives, and campaign architecture that build relevance with our audiences and drive awareness, engagement, pipeline, and revenue. - Turn audience insight into differentiated positioning. Develop messaging rooted in primary research, customer insight, competitive intelligence, and demonstrated use cases. Build claims on evidence and create narratives sophisticated audiences find credible. - Translate company priorities into market-facing programs. Partner with Product, Sales, and business leaders to develop marketing strategies around Harvey's most important growth initiatives, connecting what matters to the business with what matters to our audiences. - Orchestrate the full marketing system. Bring together digital, social, communications and analyst relations, alliances, events, field marketing, and other channels into cohesive global campaigns, spanning major launches, category-building moments, and always-on programs. - Build the measurement system. Define the KPIs, dashboards, attribution signals, and operating cadence that connect campaign investment to audience and business outcomes. - Build the team and operating model. Design how the campaigns function works, hire exceptional marketers, and develop them into strategic owners of audiences, programs, and business outcomes. - Raise the creative and strategic bar. Establish what great campaign thinking looks like at Harvey, from the quality of the insight and sharpness of the message to the craft of the execution and rigor of the measurement. - Build an AI-native campaign engine. Apply AI across audience research and modeling, creative development, experimentation, personalization, localization, and performance analysis. Develop repeatable approaches that raise the capabilities of the broader marketing organization. WHAT YOU HAVE - 8+ years of B2B marketing experience, including significant ownership of integrated campaigns, demand generation, or go-to-market programs within enterprise software or high-growth SaaS. - A record of building and scaling. You've created teams, programs, or operating models and know how to introduce structure without introducing unnecessary process. - Experience building and leading exceptional teams. You've hired, developed, and retained high-performing marketers. - Strong commercial instincts. You've owned multi-million-dollar investments and understand how to connect marketing decisions to audience impact, pipeline, revenue, and ROI. - Exceptional positioning and messaging judgment. You know how to get from audience research and market insight to a differentiated point of view, and you're a strong enough writer to do the work yourself when the stakes are high. - Exceptional cross-functional influence. You've orchestrated digital, social, communications, analyst relations, partnerships, events, and field marketing as one system rather than optimizing a single channel in isolation. - Hands-on fluency with AI. AI is already part of your campaign workflow. You have informed opinions about where it meaningfully improves marketing, and where human judgment remains the advantage. - A player-coach operating style. You're comfortable setting strategy with senior leaders and equally comfortable opening the doc, digging into the dashboard, rewriting the brief, or working through the details with the team. - Comfort with ambition and ambiguity. You can create clarity where there isn't yet a playbook, move quickly without lowering the bar, and build systems that become more sophisticated as Harvey grows. COMPENSATION $196,000 - $269,500 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-BG1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey's users are among the most sophisticated professionals - from managing partners and practice leaders at global law firms to GCs and legal operations executives in-house, and tax and finance leaders adopting AI across their organizations. These professionals are navigating a fundamental shift in how their work gets done. Reaching them starts with deeply understanding the realities of that work: the problems worth solving, the outcomes that matter, and the questions and skepticism that come with adopting AI. Our best campaigns turn that understanding into ideas and experiences that are useful, credible, and relevant to where each audience is on that journey. The Integrated Campaigns Lead will build the function responsible for doing exactly that.You'll set Harvey's global integrated campaign strategy: defining our priority audiences, sharpening how we position Harvey, and designing coordinated programs that build awareness, deepen engagement, and drive growth. You'll establish the campaign operating model, prove what works, and build the team and capabilities to scale it globally. This is a strategic player-coach role with meaningful influence across the company. You'll shape go-to-market priorities alongside leadership across marketing, product, GTM, and you'll stay close enough to the work to write the message, understand the data, and improve the campaign when it matters. WHAT YOU'LL DO - Set Harvey's global integrated campaign strategy. Define the audiences, segments, narratives, and campaign architecture that build relevance with our audiences and drive awareness, engagement, pipeline, and revenue. - Turn audience insight into differentiated positioning. Develop messaging rooted in primary research, customer insight, competitive intelligence, and demonstrated use cases. Build claims on evidence and create narratives sophisticated audiences find credible. - Translate company priorities into market-facing programs. Partner with Product, Sales, and business leaders to develop marketing strategies around Harvey's most important growth initiatives, connecting what matters to the business with what matters to our audiences. - Orchestrate the full marketing system. Bring together digital, social, communications and analyst relations, alliances, events, field marketing, and other channels into cohesive global campaigns, spanning major launches, category-building moments, and always-on programs. - Build the measurement system. Define the KPIs, dashboards, attribution signals, and operating cadence that connect campaign investment to audience and business outcomes. - Build the team and operating model. Design how the campaigns function works, hire exceptional marketers, and develop them into strategic owners of audiences, programs, and business outcomes. - Raise the creative and strategic bar. Establish what great campaign thinking looks like at Harvey, from the quality of the insight and sharpness of the message to the craft of the execution and rigor of the measurement. - Build an AI-native campaign engine. Apply AI across audience research and modeling, creative development, experimentation, personalization, localization, and performance analysis. Develop repeatable approaches that raise the capabilities of the broader marketing organization. WHAT YOU HAVE - 8+ years of B2B marketing experience, including significant ownership of integrated campaigns, demand generation, or go-to-market programs within enterprise software or high-growth SaaS. - A record of building and scaling. You've created teams, programs, or operating models and know how to introduce structure without introducing unnecessary process. - Experience building and leading exceptional teams. You've hired, developed, and retained high-performing marketers. - Strong commercial instincts. You've owned multi-million-dollar investments and understand how to connect marketing decisions to audience impact, pipeline, revenue, and ROI. - Exceptional positioning and messaging judgment. You know how to get from audience research and market insight to a differentiated point of view, and you're a strong enough writer to do the work yourself when the stakes are high. - Exceptional cross-functional influence. You've orchestrated digital, social, communications, analyst relations, partnerships, events, and field marketing as one system rather than optimizing a single channel in isolation. - Hands-on fluency with AI. AI is already part of your campaign workflow. You have informed opinions about where it meaningfully improves marketing, and where human judgment remains the advantage. - A player-coach operating style. You're comfortable setting strategy with senior leaders and equally comfortable opening the doc, digging into the dashboard, rewriting the brief, or working through the details with the team. - Comfort with ambition and ambiguity. You can create clarity where there isn't yet a playbook, move quickly without lowering the bar, and build systems that become more sophisticated as Harvey grows. COMPENSATION $196,000 - $269,500 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-BG1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco, CA | 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 is seeking a Manager, Infrastructure Capex Accounting to join our Infrastructure Accounting team. In this role, you will execute day-to-day accounting for Anthropic's owned infrastructure assets — the GPUs, networking equipment, and data center buildouts underpinning our recently announced $50bn investment in American computing infrastructure. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing fixed asset base is accounted for and understood across the business. You will own end-to-end accounting for Anthropic's capex and fixed asset portfolio, working closely with cross-functional partners across Data Center Operations, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 360, and help build the processes, controls, and systems that let this function scale. Responsibilities Own end-to-end accounting for Anthropic's AI infrastructure capex and fixed asset portfolio, including monthly close, construction-in-progress (CIP) tracking, reconciliations, roll-forwards, and flux analysis Apply technical accounting expertise to complex infrastructure arrangements under ASC 360 (capitalization, useful lives, impairment, disposals, and asset retirement obligations) Partner with Data Center Operations, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems, particularly around asset receipt, deployment, and in-service dates Help design and scale systems, processes, and controls to support a rapidly growing fixed asset portfolio Collaborate with and mentor junior accounting professionals across the Infrastructure Accounting team Serve as a key point of contact with external auditors on fixed asset and capex accounting matters Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting You may be a good fit if you Have 7+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred Possess strong technical accounting knowledge of ASC 360, particularly as applied to infrastructure, data center, or compute-related assets Have hands-on experience with a significant fixed asset portfolio in a high-growth environment Demonstrate strong analytical abilities and comfort working with large, complex datasets Have a track record of improving scalable financial processes in fast-moving environments Have experience mentoring junior accounting professionals Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders Communicate clearly and influence effectively across cross-functional partners Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Strong candidates may have Experience at hyperscalers, large compute consumers, or data center operators with exposure to infrastructure asset structures (including GPU clusters, networking equipment, and data center buildouts) Experience with fixed asset subledger systems at scale SQL proficiency for querying and analyzing large infrastructure and accounting datasets Background in Big 4 accounting or advisory services combined with industry experience Experience with complex data center buildouts or hybrid cloud / on-premise environments Knowledge of AI/ML infrastructure and associated cost structures Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation Proven ability to navigate ambiguity and drive results in rapidly changing environments 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: $160,000 — $190,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States (Remote); Vancouver, British Columbia; Toronto, Ontario; Ottawa, Ontario Workplace: Remote ROLE SUMMARY Temporal Cloud is Temporal’s managed SaaS product, used by customers to run workloads with varying requirements for throughput, latency, resilience, isolation, data residency, and cost. Namespaces are the primary unit of isolation within Temporal Cloud. In this role you’ll own the Cloud Namespace product surface end-to-end: ensuring customers can provision, configure, operate, and evolve Namespaces safely and effectively over time. You’ll partner with engineering teams to deliver customer-facing capabilities and shape internal operational systems for namespace placement, provisioning, capacity management, and more. WHAT YOU’LL DO - Own the full Cloud Namespace lifecycle for an operator using Temporal Cloud: understanding workload needs, provisioning and management flows, defining the right configuration defaults and policies, updates-in-place, and safe deletion. - Define and evolve differentiated Namespace offerings (e.g., higher/lower SLA, latency, durability, residency, and cost options) that are easy for customers to understand and trust. - Own throughput and capacity management for Namespaces (e.g., autoscaling, TRUs, reserved vs. elastic capacity, scheduling, visibility, limits, and quotas). - Drive operational policy and features (Namespace placement in deployment rings, replication, scaling) to deliver highly performant, reliable, and cost-effective service at massive multi-tenant scale. - Define and own Namespace SLOs and SLAs, including instrumentation and customer-facing communication of performance and reliability expectations. - Own the Namespace APIs & configuration used by customer automation, the Temporal Cloud UI, and other products and services. WHAT YOU’LL BRING - Product leadership experience shipping and operating platform/infrastructure products, especially where reliability, performance, and cost tradeoffs matter. - Strong systems thinking: ability to translate workload needs into tiering, pricing, policy, quotas/limits, and defaults that scale across many customers. - Comfort partnering closely with engineering on technical topics like autoscaling, capacity planning, rolling deployment and placement logic, and resilience patterns—even if you’re not writing production code. - Experience defining and managing SLOs/SLAs and using metrics to drive product decisions and prioritization. - Ability to build alignment across stakeholders (Engineering, Cloud Ops/SRE, Support, Sales, Solutions, Security) and make clear, durable decisions in ambiguous environments. - Clear written and verbal communication, including the ability to produce crisp PRDs, decision docs, and customer-facing explanations. NICE TO HAVE - Experience with multi-tenant systems, workload isolation, and “noisy neighbor” mitigation. - Familiarity with API product design for long-lived resource lifecycle operations and safe evolution over time. - Background working on placement, routing, data residency, or geo-distributed reliability problems. - Experience building pricing/packaging inputs for tiered services in partnership with Finance/GTM. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States (Remote); Boston, Massachusetts; Denver, Colorado; Seattle, Washington; New York, New York; San Francisco, California Workplace: Remote ROLE SUMMARY Temporal is hiring a Director, Global Developer Success to lead and scale our deeply technical support organization. This is a high-impact leadership role responsible for turning customer technical response into a repeatable, measurable, and differentiated advantage for Temporal. Developer Success is the team customers rely on when they need fast, confident support for complex developer and infrastructure issues. The team helps users deploy, operate, debug, and scale Temporal across cloud-native environments, distributed systems, SDKs, observability stacks, and mission-critical workloads. The next phase requires a leader who can preserve technical excellence and customer empathy while building the operational rigor of a world-class support function. WHY THIS ROLE EXISTS Temporal's customers are building increasingly mission-critical, distributed, long-running, and AI-enabled systems. When something is unclear or broken, the support experience must be fast, technically credible, and predictable. - Developer Success must scale beyond heroics. We need clear KPIs, tiering, queue management, escalation paths, incident communication standards, RCA practices, quality review, and talent development systems. - Premium customer interactions increasingly happen across tickets, Slack, escalations, and incident channels. The support experience must have one clear operating model so customers, Sales, SAs, Platform Architects, Product, Engineering, and Support know who owns what and what good looks like. - The support team must reduce avoidable Engineering escalations while ensuring real product defects, documentation gaps, and recurring customer pain reach Product and Engineering with high-quality signal. WHAT YOU'LL DO - Build and lead Global Developer Success: Hire, coach, develop, retain, and performance-manage high-performing support engineers, managers, and specialists across tiers, regions, and customer segments. - Create the support operating system: Define SLAs/OLAs, ticket and Slack triage, queue ownership, severity definitions, tiering, escalation paths, incident communications, RCA standards, quality review, staffing, and operating cadence. - Raise the quality bar: Move beyond CSAT alone by measuring customer effort, touches to resolution, reopen rate, handoffs, recurrence, communication quality, resolution confidence, and customer-visible ownership. - Harden Slack and customer response: Turn premium Slack response into a defined service model with acknowledgement standards, urgent paths, conversion-to-ticket rules, coverage model, manager review, and customer-facing expectations. - Protect Engineering focus through better support: Reduce avoidable escalations by building runbooks, diagnostics, knowledge systems, reproducibility standards, technical triage, and high-quality escalation packets. - Lead escalation and incident discipline: Establish crisp roles for technical lead, escalation manager, communications owner, Support, Engineering, SA, Platform Architecture, and Sales. Ensure incidents and critical escalations are communicated with clarity and followed by useful RCAs. - Build technical depth and enablement: Create career paths, training, mentorship, certification, quality review, and hands-on learning that help junior engineers become senior/staff support engineers and help senior engineers scale their expertise. - Partner across the company: Work closely with Product, Engineering, Sales, Solutions Architecture, Platform Architecture, Customer Success, Docs, DevRel, and Services to ensure support signal turns into product, documentation, enablement, and customer lifecycle improvements. - Use tooling and AI pragmatically: Improve routing, deflection, summaries, analytics, knowledge surfacing, diagnostics, and customer communication while measuring real operating outcomes rather than tool adoption alone. - Represent Temporal with customers: Engage directly in strategic escalations, high-stakes incidents, enterprise support conversations, QBR/EBR inputs, and executive readouts when support experience affects customer trust. WHAT YOU'LL BRING - 12+ years of experience in technical support, customer engineering, SRE, solutions engineering, infrastructure engineering, or similar customer-facing technical roles, with 5+ years leading support or customer-facing engineering teams. - Proven experience building and scaling technical support operations for a deeply technical B2B product, ideally in developer tools, cloud infrastructure, data platforms, observability, AI infrastructure, open source, or distributed systems within a GTM organization. - Experience managing managers and building the systems that make teams run: metrics, operating cadence, queue management, quality review, staffing models, tiering, escalation paths, and performance management. - Strong technical credibility with developers, support engineers, SREs, platform engineers, and product engineers. You can reason about APIs/SDKs, cloud-native infrastructure, Kubernetes, observability, distributed systems, reliability, incident response, and debugging workflows. - Track record reducing avoidable Engineering escalations while improving the quality of product and engineering signal when escalations are needed. - Deep understanding of support quality metrics: response time, resolution time, customer effort, touches, reopens, recurrence, backlog, SLA/OLA attainment, deflection, CSAT, sentiment, and case quality. - Strong customer communication skills in high-pressure situations. You can write crisp updates, lead customer-facing RCA conversations, set expectations, and coach others to communicate clearly. - Clear philosophy for hiring, onboarding, leveling, progression, coaching, retention, and performance management for technical support engineers and support managers. - High ownership and builder mindset. You create clarity in ambiguous systems, ship v1 processes quickly, and iterate with data and customer evidence. NICE TO HAVE - Experience with Temporal, Cadence, workflow engines, orchestration systems, event-driven architecture, distributed applications, or production reliability tooling. - Experience in consumption-based, open-source, developer-led, or mission-critical enterprise support motions. - Energized by working within a GTM organization. - Experience with support tooling and modern AI support systems such as Pylon, Zendesk, Kapa-like deflection, knowledge automation, case analytics, or incident communications tooling. - Hands-on background with Kubernetes, Docker, AWS/GCP/Azure, Prometheus/Grafana, Datadog, OpenTelemetry, Terraform, Go, Java, Python, TypeScript, or similar technologies. - Experience building Tier 3 / elite support, OSS/community support, self-hosted support, premium support, or 24/7 critical escalation coverage. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. WHAT YOU’LL DO - Full stack development, building models to consume, transform, and expose data to stakeholders and production systems - Drive a culture of experimental design, testing agenda, and best practices - Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way - Collaborate with Finance teams (e.g. GTM Finance, StratFin) to develop financial insights and influence business decisions - Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action WHAT YOU NEED - Minimum of 3 years of industry experience in Data Science / Software Engineering / Finance - Strong AI proficiency as a lever to quickly adopt new skills and subject matter - Track record of shipping high quality products and features at scale - Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions - Familiarity with financial metrics and processes (e.g. contribution profit, financial statements, monthly close) and / or B2B enterprise sales cycle metrics and processes - Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries NICE-TO-HAVES - Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents) - Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards - Strong intuition on business strategy and customer empathy (ROI, growth channels, sales cycles, customer incentives) - Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development) - Experience partnering with finance teams or within the payments and financial technology space BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Serbia - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM You'll own the full marketplace onboarding experience for Smartcat's customers — from pre-sales through steady-state operations — safeguarding our quality and on-time delivery commitments across a global network of vendors and freelancers. This is a high-ownership operational role where you'll directly shape how AI-powered automation and human suppliers work together at scale. MISSION Own the full marketplace onboarding experience and ensure successful marketplace adoption across the entire customer lifecycle — from pre-sales to steady-state operations — reducing operational risk and enabling efficient, scalable multilingual content delivery while safeguarding Smartcat's service-level commitments for quality and on-time delivery. OUTCOMES Deliver full onboarding and continuous improvement coverage for new and existing customers using the Smartcat Marketplace Leverage Smartcat's automation technologies to reach 90% workflow automation across supported accounts Ensure 100% SLA compliance for quality and on-time delivery, stepping in when needed Build and maintain trusted vendor teams, enabling them with Smartcat AI tools and best practices Configure and automate workflow steps, including freelancer assignment, vendor management, and workspace settings Set up and manage language assets (TMs, glossaries, style guides) and QA automation, intervening to protect SLAs when risk emerges HOW YOU'LL RAMP By Day 30: Learn Smartcat's marketplace model, automation technologies, and supplier ecosystem Shadow onboarding and workflow setup for existing customers, including workflow configuration and vendor management Meet your GTM Account, CX, Product, and Engineering partners and get oriented in current marketplace accounts By Day 60: Own onboarding and workflow setup independently for at least one new or existing customer account Be actively managing supplier selection and vendor pools, using Smartcat AI supplemented by manual sourcing where needed Set up and manage language assets and QA automation for at least one account By Day 90: Be delivering on 90% workflow automation and 100% SLA compliance across your supported accounts Have led issue resolution or escalation management on at least one at-risk delivery Be submitting actionable product feedback and workflow insights that influence roadmap priorities WHAT YOU'VE ACCOMPLISHED 5+ years of experience in project management, vendor management, supply chain management, or operations Experience with marketplace environments or large vendor/freelancer pools is a strong plus PMP or similar project management certification is a plus A proven ability to scope projects, allocate resources, manage risk, and track delivery performance A good understanding of technical concepts related to translation technologies, with the ability to leverage AI tools to streamline processes A proven ability to deliver support, training, and adoption initiatives An entrepreneurial mindset with curiosity, problem-solving ability, and a collaborative approach Excellent communication skills, with experience presenting to different audiences High attention to detail and strong customer empathy Integrity and full commitment Ability to work under pressure and tight deadlines Comfort working with remote, multicultural teams Openness to constructive feedback and the opinions and ideas of others Fluent English (additional languages desirable) Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: Reykjavík The Development Infrastructure team builds the tooling and systems our Asana engineers use every day to bring their ideas to production quickly and reliably. We build and operate the software that drives Asana’s roadmap. Each day, we combine industry best practices and innovation to support this product-focused company. We’re looking for an experienced Software Engineer with a passion for developer infrastructure. You will work with a world-class team of engineers on deploying and operating existing developer tooling, and building new tools to support our global, growing development team. You will have a unique opportunity to design and develop the systems and applications that drive the Asana development experience, lead complex technical projects, and work on cross-functional initiatives to help define the future of software engineering at Asana. This role is based in our Reykjavík office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Innovate the architecture of our development sandboxes to accelerate development iteration. Modernize our build system, tighten iteration loops, and polish frequent cycles in the developer experience. Lead complex developer infrastructure projects from technical design through implementation, rollout, and operation. Partner with engineering teams to identify opportunities to enable teams to develop faster at Asana and help the company achieve our goals faster. Analyze complex developer infrastructure systems to uncover issues, root causes, and areas for improvement. Keep Asana up to date on open-source trends and identify new opportunities for improved development infrastructure. Champion code quality and solid engineering practices, setting a standard through example, technical guidance, and infrastructure that promotes best practices. Write clean, maintainable code, striving to leave systems in a better state than you found them. Collaborate with a world-class engineering team to build reliable and intuitive infrastructure for developers across Asana. About you 5+ years of software engineering experience, ideally backend- or infrastructure-focused, working in large, well-maintained codebases and shipping production systems. Familiarity with build tooling and automated testing, with an interest in distributed systems. Ability to learn quickly and transition seamlessly between different areas of a complex codebase and infrastructure stack. Excellent communication skills for collaborating with other teams and driving alignment across technical stakeholders. Sound autonomous judgment when balancing moving quickly with eliminating risks and building reliable, scalable, performant, and long-term maintainable systems. Curious about AI-assisted engineering tools and emerging technologies, with an interest in using them thoughtfully to improve productivity. Experience designing, building, or operating infrastructure on AWS or another major cloud platform is a plus. Excited to be part of an inclusive culture where everyone brings their whole selves to work. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated monthly base salary range is between 1 300 000 ISK - 1 500 000 ISK  The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-AZ About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic runs one of the largest and fastest-growing infrastructure fleets in the industry, across multiple accelerator families, CPU families, clouds, neoclouds, and on-prem sites. Capacity Engineering owns the data, tooling, and systems that let Anthropic plan, measure, and maximize utilization of that fleet: we partner on supply deals, wire telemetry from day zero, own the canonical capacity data layer, and build the planning and enforcement tools every research and product team relies on. This role sits in the Planning pillar, on the Demand Planning team, and works daily with research engineering, pretraining, inference, compute supply, finance, and external vendors. You own the tranches. The job has two halves that feed each other. Upstream, you take the Demand Planning forecast and turn it into per-tranche requirements — shape, interconnect, region, supporting resources, date — and carry those into sourcing negotiations and data center build reviews so we contract for capacity we can actually use when we need it. Downstream, you own the integrated schedule and system of record for every tranche in flight — from contracted through reserved, ingested, in-cluster, healthy, and occupied — and you drive the owners of each hop to their dates. Every slip you see downstream becomes a contract-language fix, an automation, or a correction fed back to the forecast. What you'll do Turn the forecast into per-tranche requirements. Take the Demand Planning forecast plus direct input from research, pretraining, and inference planners, and convert it into concrete accelerator, interconnect, region, supporting-resource, and date requirements for each tranche. Represent those in sourcing negotiations and data center build reviews, including which contractual terms actually move delivery dates. Qualify tranches for deliverability before signature. The Capacity Planner signs fit-to-forecast; you sign whether the shape can land schedulable, healthy, and instrumented in that region on that date, with storage, egress, identity in place. Close the delivery loop. Track forecast-versus-delivered on shape, region, and timing for every tranche; publish the variance; and feed it back to Demand Planning and into the next contract. Own the bring-up system of record. Define the canonical contract-to-occupied state machine with explicit entry and exit criteria per stage, and make it a first-class object in the capacity data layer so every downstream tool sees in-flight capacity, not only what has landed. Run a portfolio of bring-ups in parallel — new cloud regions, on-prem sites, neocloud blocks — with one integrated schedule spanning provider milestones, cluster creation, network turn-up, storage readiness, health burn-in, and first-workload landing. Drive readiness automation: All capacity systems are fully integrated for all new capacity, from contracted through ingested, automated and scaled. Instrument and publish the numbers that matter — time-to-occupied and paid-idle dollars per tranche — with executive-level reporting on status, tradeoffs, and risk across the portfolio. What you bring Significant experience delivering large-scale infrastructure — cloud regions, accelerator clusters, HPC systems, or bare-metal fleets — at multi-region scale or ≥10k accelerators (or CPU/storage equivalent). Technical range from through cluster orchestration and node health, up to the telemetry and planning tables on top — enough to debug where they disagree rather than route it. SQL and enough Python to answer your own questions and build your own reporting. A degree in a technical field or an equivalent engineering track record. Preferred Reserved-capacity onboarding, private offers, or capacity commitments with cloud or neocloud providers. Enough demand-planning exposure to challenge a forecast, translate it into per-tranche requirements, and feed delivery variance back into it. Data center or colocation delivery: power and space planning, network turn-up, site acceptance, vendor management. Accelerator health and burn-in, collective-communications sanity testing, or fleet-health SLOs — and a rigorous definition of "healthy." Systems of record or lifecycle services for infrastructure assets. Onboarding a new hardware generation into an existing scheduler and observability stack. 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 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's infrastructure fleet spans a growing set of clouds, neoclouds, and on-prem sites.  Every part of it is expanding rapidly. Capacity Engineering is the team that connects every stage of that growth, from capacity planning to supply management to capacity delivery to utilization. We partner on supply deals, wire telemetry from day zero, own the canonical capacity data layer, and build the planning and enforcement tools every research and product team relies on. As an Infrastructure Capacity Planner on the Demand Planning team, you'll own the medium-range demand forecast for every resource class we consume: accelerators, CPU, storage, network, and managed services. Your forecast will support sourcing and purchasing, prioritization, efficiency targets, and workload optimization. Key responsibilities Build and own the medium-range multi-resource demand forecast: accelerators by chip/interconnect class, CPU by shape, storage by tier and access pattern, egress by path, managed services by SKU — driven by model roadmap, RL/inference growth, eval volume, and retention policy rather than trend lines. Run the plan-vs-reality loop. Diff planned allocations against observed fleet occupancy weekly, surface unrecorded trades and stale allocations, and drive variance toward zero with our planning-tools and data teams. Qualify each incoming capacity tranche against the forecast before signature: right shape, region, quarter, and supporting-resource envelope (storage, egress, CPU). Partner with Finance and cost-efficiency teams to turn the forecast into core drivers covering the large majority (≥80%) of non-accelerator spend, and to aim savings work where waste will appear next. What you bring Have done capacity, demand, or supply planning for large-scale technical infrastructure (cloud, HPC, hyperscale, or a large internal platform) and can articulate the difference between a forecast, a plan, and an allocation. Build the model yourself rather than specifying it for someone else: SQL against a warehouse, Python/pandas or a proper forecasting/optimization stack. Understand data-center resource classes well to know why storage and egress don't forecast like GPUs, and why a contract's headline chip count is rarely the binding constraint. Prefer simple, inspectable models to clever opaque ones, and instrument your own forecast error. Preferred qualifications Direct experience with cloud or neocloud providers on reserved-capacity onboarding, private offers, or capacity commitments. Demand planning or forecasting experience for accelerator fleets, including translating research or product roadmaps into resource requirements. Data center or colocation delivery experience: power and space planning, network turn-up, site acceptance criteria, and vendor management. Experience with accelerator health and burn-in, collective-communications sanity testing, or fleet-health SLOs, and the ability to define healthy rigorously. Experience building lifecycle or state-machine services, or systems of record for infrastructure assets. Experience onboarding a new hardware generation into an existing scheduler and observability stack. 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 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. T ogether, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for an engineering manager to lead our Metadata team, which owns the metadata layer of the dbt platform: the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing. You'll own technical excellence and delivery of a single team, from evolving high-throughput APIs and data models, to hardening reliability and latency for enterprise and single-tenant customers, to shipping new discovery and catalog capabilities in close partnership with product. You'll set direction, review designs and code, remove roadblocks, and grow the engineers on your team through coaching, feedback, and clear career development. What You'll Do Lead and grow a team of software engineers, owning hiring, onboarding, coaching, career development plans, and regular 1:1s and check-ins Own project delivery for your team against the quarterly plan, and be accountable for the reliability and performance of the services you own (e.g. uptime and latency targets) Review technical designs and code, and provide feedback grounded in a deep understanding of the Metadata product area and architecture Drive the team to address technical quality — incidents, bugs, tech debt, and post-mortems — within SLA and metric targets Partner with product and business stakeholders on planning, and maintain a realistic, prioritized feature and project backlog with a high completion rate Contextualize and communicate the engineering vision and strategy to your team, and share the team's work and business impact with adjacent teams Ensure engineering processes (e.g. FDLC) are implemented and consistently followed Delegate effectively and build autonomy and a positive, high-trust culture within the team Address performance issues and conflict promptly and fairly Ensure your team uses AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For Experience managing and growing a software engineering team (ideally a customer-facing product development team); including hiring, coaching, and running a full performance and career-development cycle Strong technical foundation with the ability to review designs and code and make sound architectural trade-offs in a distributed, cloud-based systems environment Track record of delivering complex projects on schedule while holding the team to high standards of quality, reliability, and performance Experience owning production services and driving operational health — incident response, on-call practices, tech-debt reduction, and meeting SLAs Ability to plan and prioritize with product partners, maintain a realistic backlog, and drive high sprint and quarterly completion rates Communicates clearly and effectively across the team and with adjacent teams and stakeholders; keeps people well informed Fluent in using AI code assistants, coding agents, and conversational AI (e.g. Claude, ChatGPT) to support the software development lifecycle, and able to establish those practices across a team Bonus Skills Experience building or operating metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem Experience supporting enterprise or single-tenant customers with strict reliability and latency requirements The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $186,701 — $233,376 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: London, United Kingdom Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is looking for an experienced and dynamic Business Marketing Lead for the UK  to own and deliver  our advertiser marketing strategy in support of growing one of our most important international markets. As part of Reddit’s country-led go-to-market model, you will be the marketing lead for client-direct advertisers in the UK, working closely with UK Sales leadership and partnering with our UK Agency Marketing Lead, who focuses on relationships with agency holding companies. You will shape how Reddit shows up to advertisers in the UK: defining the local market narrative, identifying growth opportunities, building demand, and bringing together the right marketing programmes to support acquisition, growth and retention across our customer base. This is a broad, commercially focused role for a marketer who enjoys connecting strategy with execution. You’ll combine market insight, storytelling, demand generation, events and sales partnership to build an integrated marketing plan that supports Reddit’s UK revenue ambitions. You’ll be part of Reddit’s European country marketing team, working closely with regional and global marketing specialists across Agency Marketing, Product Marketing, Insights, Marketing Operations, Communications and other cross-functional teams. What You’ll Do Build and Lead Reddit’s UK B2B Marketing Strategy Develop and deliver an annual UK marketing plan aligned with local business priorities and growth opportunities. Define a compelling UK market narrative and value proposition for Reddit, translating global positioning into locally relevant programmes and identifying opportunities for UK-first initiatives. Partner with Sales leadership and Revenue Strategy & Operations teams to take a data-backed approach in prioritising audiences, categories and opportunities where marketing can have the greatest commercial impact. Share and scale successful UK programmes and learnings with regional and global teams to help influence broader international growth. Drive Demand and Revenue Growth Develop integrated, full-funnel marketing programmes that support customer acquisition, growth and retention across Reddit’s UK advertiser base. Build demand-generation programmes across channels such as events, digital campaigns,, partnerships, content and account-based marketing. Work closely with Sales and Marketing Operations to ensure leads are effectively captured, nurtured and measured, using performance insights to improve conversion and future investment. Develop the messaging and marketing assets needed to support UK pipeline-generation campaigns and sales activation. Turn UK Market Insights Into Action Stay close to developments across the UK advertising and media landscape, including competitor activity, category trends, advertiser needs and emerging opportunities. Translate market intelligence into actionable insights for marketing strategy, sales programmes, messaging and content. Partner with Reddit’s Insights teams to develop UK-specific research, data and thought leadership that strengthens our position with advertisers. Create UK-Relevant Stories and Content Build locally relevant narratives, case studies, category stories and product messaging that demonstrate Reddit’s value to UK advertisers. Adapt global campaigns for the UK market while identifying when local customer needs warrant new, market-specific programmes. Develop evergreen engagement programmes that create momentum beyond launch, with sustained engagement strategies designed to deepen advertiser understanding and adoption. Partner with Communications and internal leaders to build a strong bench of spokespeople who can represent Reddit across important UK industry conversations. Lead Reddit’s UK Industry Presence Shape Reddit’s presence across the UK advertising and marketing industry. Develop an annual programme of customer-facing activity spanning industry events, owned events, executive engagements, vertical programmes, acquisition events and strategic partnerships. Work with internal teams and external partners to deliver high-impact experiences that strengthen relationships, create demand and support commercial priorities. Measure the contribution of events and programmes to pipeline, customer engagement and business growth. Be a Strategic Partner to UK Sales and Cross-Functional Teams Act as a close marketing partner to UK Sales leadership, helping turn commercial priorities into effective marketing programmes. Bring together regional and global teams across Product Marketing, Agency Marketing, Insights, Communications, Marketing Operations and other specialist functions to deliver against UK priorities. Represent UK advertiser needs and market opportunities within broader regional and global planning. Build strong relationships across teams, creating clarity around priorities and ensuring marketing activity remains focused on the highest-impact opportunities. Own Marketing Investment and Performance Manage the UK B2B marketing budget and investment plan, prioritising spend against the strongest growth opportunities. Define success measures across pipeline contribution, marketing effectiveness, customer growth and product adoption. Use performance data and market insight to continuously improve programmes, investment decisions and marketing strategy. Communicate progress, opportunities and learnings to UK and regional leadership. About You You have 7+ years of B2B marketing experience, ideally within tech or  digital media, advertising, technology or a related industry. You have a strong understanding of the UK advertising landscape and how brands, agencies and media platforms operate within it. You have experience developing and delivering integrated market or regional marketing strategies tied to commercial goals. You are commercially minded and comfortable making data-backed decisions and connecting marketing activity to pipeline, revenue and customer growth. You are a strong storyteller who can turn customer, market and product insights into compelling narratives and programmes. You are equally comfortable setting strategy and getting hands-on to move important work forward. You thrive in highly collaborative environments and know how to bring together specialists across multiple teams to deliver a shared outcome. You are confident partnering with senior Sales leaders and navigating competing priorities in a fast-moving environment. You are fluent in English. Benefits: Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Group Personal Pension Scheme with Employer match Private Medical and Dental Scheme Income Replacement Programs Bike to Work scheme Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. The Data team works across Linear, supporting Product, Engineering, and GTM. We own our data pipelines, warehouse, dashboards, analysis, and integrations with third-party tools. As a small team, we focus on building systems that make data accessible and useful across Linear. We’re looking for someone who wants to help shape how we architect, build, and use data as we grow. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do - Work across Product and GTM (Marketing, Sales, Customer Success, and Finance) to turn ambiguous questions and operational needs into useful metrics, models, analyses, and workflows - Build and maintain dbt models and pipelines that create trusted views of our product, customers, and business - Design clear, maintainable data models and improve the testing, documentation, performance, and reliability of our data stack - Build dashboards and self-service reporting in Metabase and Hex, and dig deeper when the answer requires more than a chart - Operationalize data through reverse ETL and partner with GTM Engineering on the scoring, segmentation, automations, and internal tools that help our teams scale - Balance fast, pragmatic answers with durable solutions, recognizing when a one-off request should become a reusable model or workflow - Find ways to leverage emerging tools, LLMs, and coding agents to accelerate development, analysis, testing, and documentation while maintaining a high bar for correctness What we're looking for - 8+ years of experience in analytics engineering, data analytics, or data engineering, ideally at a fast-moving software company - Exceptional SQL and strong hands-on experience with dbt and a modern cloud data warehouse - Track record of owning data projects end-to-end, from shaping an ambiguous problem to shipping something people rely on - Strong data modeling judgment: you think clearly about grain, reusable components, interfaces, dependencies, and maintainability without relying on a single prescribed methodology - Analytical judgment: you know when to answer quickly, when to investigate deeply, and how to turn complex findings into a clear recommendation - Comfortable moving between technical implementation and business context, from debugging a data model to understanding product adoption or sales efficiency - High ownership mentality: self-directed, pragmatic, and willing to challenge a request or approach when something does not make sense - Strong communication skills and experience partnering directly with both technical and non-technical teams - Comfortable using LLMs and coding agents as part of your day-to-day development workflow Our tech This stack reflects the systems you’ll work in. You’re not expected to have experience with everything listed, but you should be comfortable learning quickly and working across the full lifecycle of data. - Data Warehouse: Snowflake, dbt Cloud - Dashboards / Analysis: Metabase, Hex - ETL / rETL: Hevo, Fivetran - GTM tools: Hubspot, Pocus, Clay What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Compensation For US-based candidates, the expected cash compensation range for this role is $180,000—$220,000. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear. Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear - A video series: Conversations on Quality https://linear.app/quality - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: NAMER and LatAm; San Francisco Workplace: Remote ClickHouse is the open-source, real-time analytical database behind a lot of today's AI. More than 4,000 companies build on ClickHouse, including Anthropic, OpenAI, Tesla and Meta. As a Consulting Engineer, you're the hands-on engineer on our customers' most important projects. When a customer needs to migrate, integrate, or prove ClickHouse on a real workload, you work in the build alongside their engineers: you design it, build it, test it and hand it over. You'll work on a broad mix of projects for customers across the Americas, from moving large workloads off other databases to building new real-time analytics on ClickHouse. Each one is scoped with clear goals from the start, so you know what success looks like and can get stuck in. It's a fast way to build deep experience across lots of different data problems. The consulting function at ClickHouse is less than a year old, so you'll help shape how ClickHouse delivers this work as the team grows. Between projects you take cases alongside support engineers, which keeps you close to day-to-day support. WHAT YOU'LL DO - Turn customer goals into a scoped project with measurable success criteria, sizing and a timeline - Design a target architecture and prove it against the customer's own data: schema and engine design, capacity and sizing, proofs of concept - Do the build: implementation, pipelines and integrations, migration execution, tooling and automation - Measure it before it matters, with benchmarking, load and functional testing, then support the cutover - Tune what production reveals, then hand over with an engagement report and knowledge transfer, so the customer's team can run it without you - Take L1 to L3 cases alongside support engineers when you're between projects - Feed what you see in the field back to Product and Engineering, and turn your work into reference architectures, knowledge base articles and blog posts - Work in a constant feedback loop with the Pre-sales team to ensure that the demos and POCs they present are credible when you put them into production WHAT YOU'LL BRING - 5+ years delivering hands-on technical work for customers, whether your title was consultant, professional services, solutions architect, senior support, SRE or something else - Real depth in databases, whether analytical, transactional or relational - Hands-on SQL. You regularly write complex queries from scratch, and tune and debug them yourself - You've owned implementations, migrations or POCs for external customers from start to finish - Hands-on cloud experience (AWS, GCP and/or Azure) - You've deployed and run workloads on Kubernetes yourself - You've run distributed systems, such as distributed databases, in production - You give precise technical answers and explain them clearly - Fluent English NICE TO HAVE - Experience with ClickHouse - Migrating analytical workloads from systems such as PostgreSQL, Snowflake, BigQuery or Elastic - Terraform - Data pipelines and streaming, such as Kafka, Kinesis, Spark or Debezium - Python, Bash or Go - Involvement in open source, as a user, contributor or community member GOOD TO KNOW - This role is remote in North America, in a country where ClickHouse already hires - Travel to customer sites is part of the job, up to 35% of your time, depending on the project: some need none, others weekly visits - You'll join our Support Services team in the Americas, alongside Support Engineers and TAM Architects - You'll be part of the on-call rotation, about one week a quarter, with time off in lieu if you're paged at a weekend HOW WE HIRE - A 30-minute call with our recruiter - A conversation with the hiring manager - A take-home exercise, designed to take three to four hours, with three working days to complete it - A 90-minute technical interview with the team: you'll walk us through your take-home, then join a working session where you write and tune SQL live - A final conversation with our VP of Support Services - References, then an offer The working session is without AI tools, so make sure you're comfortable writing queries from scratch. Download open-source ClickHouse and practise: it's free, easy to install, and great preparation. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As an Platform Engineer at OnePay, you will build the core platform services and developer frameworks that power large-scale, distributed systems and enable the next generation of intelligent, agent-driven applications. WHAT YOU’LL DO - Design and operate platform-oriented core services that support high-scale distributed systems across OnePay’s product ecosystem - Architect, build, and manage Kafka-based event streaming systems that power real-time data flows and mission-critical financial workflows - Develop internal developer tooling and shared infrastructure that improve velocity, reliability, and observability across engineering teams - Build and evolve frameworks that support the construction and orchestration of agentic applications, enabling intelligent, automated workflows across products - Partner closely with engineering, data, and AI teams to solve complex distributed computing challenges in a secure, cloud-native AWS environment YOU BRING - 7+ years of experience in software engineering within fintech, cloud infrastructure, or large-scale distributed systems environments - Strong hands-on experience designing, operating, and scaling Kafka-based event-driven architectures - Deep expertise in distributed systems, asynchronous processing, and high-availability platform services - Production experience in AWS cloud environments and building cloud-native infrastructure - Experience building developer platforms, internal tooling, or frameworks that enable other engineers to move faster - Drive and proactivity - everyone here is a builder and executor TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: United States Workplace: Remote We are looking for a Senior Analyst, Strategy & Planning to serve as the operational counterpart to FP&A inside Revenue Operations. This role is accountable for headcount and expense management, comp plan execution, forecast roll-ups, and the analytical work that keeps the GTM organization on plan. Reporting to the Director of Strategy & Planning, you will partner directly with FP&A and across Revenue Operations. This is a high-visibility individual contributor role with broad exposure to the operating mechanics of the GTM organization. WHAT YOU'LL BE DOING - Program-manage the annual planning cycle across Sales and Finance: own the timeline, drive the deliverables, coordinate stakeholders, and synthesize the output into a single plan. - Own headcount and expense management for the GTM organization: track plan vs. actual, manage requisitions, partner with hiring managers and recruiting on capacity. - Run the comp plan modeling and execution cycle: scenario modeling, plan documentation, exception handling, and partnership with the comp administrator on payout accuracy. - Build and maintain forecast roll-ups across regions and segments. Partner with FP&A on variance analysis and corporate forecasting. - Support territory and quota deployment: produce the analytical work that underpins the annual plan and mid-year adjustments. - Maintain the Strategy & Planning analytical layer: dashboards, recurring reports, and the data quality work that makes the rest of the team's work possible. - Partner with FP&A on month-end close, commissions accruals, and revenue reporting. WHAT YOU BRING ALONG - 5+ years in revenue operations, sales finance, FP&A, strategic finance, or a similar analytical role. SaaS or consumption-based business model experience preferred. - Owner-operator mindset. You treat your scope as a system you own end-to-end: you build it, you run it, you fix it when it breaks, and you measure it by what it produces. - Comfortable program-managing a cross-functional process. You can hold a timeline, drive deliverables across Sales and Finance leadership, and synthesize across stakeholders without being told how. - Strong financial modeling skills. Driver-based modeling in Excel and Google Sheets, built independently. - SQL fluency required; Python a plus. Familiarity with ClickHouse, dbt, or a comparable modern analytics stack. Comfort working in code, not just spreadsheets. - Working knowledge of accounting principles: how revenue, commissions, and expense flow through the financial system. - Detail-oriented and comfortable with operational rigor. You see controllership as a discipline, not a chore. - Strong written and verbal communication. Able to translate analytical work into clear recommendations for senior stakeholders. - Familiarity with Salesforce, comp administration platforms (CaptivateIQ, Spiff, or similar), and BI tools. - Bachelor's degree in a quantitative field PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.