Вакансии

Location: New Jersey; New York; Connecticut Workplace: remote About the role: At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. Requirements: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What We Offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. No Visa sponsorship We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion.

Location: Dublin, Ireland; London, United Kingdom WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is shaping the future of Go-To-Market, and as a Solutions Consultant (SC), you’ll bring that future to life by building alongside customers and turning their biggest challenges into measurable outcomes. As a customer-facing, quota-carrying SC, you’ll bring together technical fluency and commercial ownership to grow your book of business. You’ll build pipeline with BDRs, engage key stakeholders, lead discovery, co-build workflow solutions live with customers, and guide opportunities through close. You’ll connect each solution to a clear business case and stay engaged through adoption, expansion, and renewal so customers realize the value of what they buy. You’ll partner with BDRs, Outcomes Architects, and technical or product specialists while maintaining clear ownership of customer relationships, opportunity momentum, and next steps. If you’re a builder who loves to sell—and want to work at the intersection of AI, productivity, and enterprise—this is the role. This role will be based in Dublin. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Create pipeline across your book of business. Build target-account plans with BDRs and initiate outreach to priority stakeholders to generate qualified opportunities, alongside BDR-sourced pipeline. - Own opportunities from first conversation through close. Lead discovery, qualify business needs and urgency, align stakeholders, shape the solution and business case, and drive the evaluation and commercial decision. Navigate commercial sizing, proposal construction, procurement, legal, and security review to close deals with the right scope, credits, and implementation path. - Design and validate workflow solutions that deliver measurable value. Map current- and future-state workflows, co-build solutions live in Notion, and define realistic scope, success criteria, and an implementation path. Translate customer needs and validated outcomes into a clear business case, commercial recommendation, and decision path. Treat discovery as an opportunity to build and validate. - Orchestrate the right partners while maintaining ownership. Engage BDRs, Outcomes Architects, and technical or product specialists at the right moments, with clear context and asks, while owning opportunity momentum, customer communication, and next steps. - Drive customer value and commercial growth after signature. Partner with Outcomes Architects, guide the initial path to value with a clear adoption plan, on onboarding and ongoing multi-workflow adoption, and own expansion strategy and renewal planning. Stay accountable for translating credits sold into credits consumed, and surface risks or expansion opportunities as customer workflows mature. SKILLS YOU'LL NEED TO BRING: - Commercial ownership and pipeline generation. You can demonstrate how you created or advanced business, influenced customer decisions, and owned measurable outcomes. Relevant experience may come from quota-carrying sales or adjacent customer-facing roles. - Technical fluency and builder mindset. You are comfortable building live in software and can demo, co-design, and troubleshoot with a customer without needing a specialist in the room. - AI fluency. You are excited about AI, build with new tools, and continually learn new ways of working. - Discovery, qualification, and value articulation. You can uncover customer needs, map workflows, qualify business impact and urgency, and translate what you learn into commercial outcomes, adoption plans, and clear success criteria. - Agency, urgency, and learning velocity. You set clear goals, take initiative, learn from customer interactions, and apply those learnings to improve outcomes. You bring new ideas and workflows to customers and make complex problems easier to solve. - Complex customer engagement. You can lead multi-stakeholder interactions and navigate procurement, legal, and security review cycles. NICE TO HAVES: - Full-cycle B2B software sales experience or solutions engineering experience, with a consistent track record of exceeding quota across new-logo acquisition and expansion motions. - Familiarity with usage-based or consumption-based pricing models and the ability to structure credit-based commercial proposals. - Prior experience selling to mid-market and enterprise accounts in productivity, collaboration, or workflow software. - Experience in a shared account ownership model, partnering with a post-sale or Customer Success team as part of an integrated customer motion. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €210,000- €222,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Dublin, Ireland WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is shaping the future of Go-To-Market, and as a Solutions Consultant (SC), you’ll bring that future to life by building alongside customers and turning their biggest challenges into measurable outcomes. As a customer-facing, quota-carrying SC, you’ll bring together technical fluency and commercial ownership to grow your book of business. You’ll build pipeline with BDRs, engage key stakeholders, lead discovery, co-build workflow solutions live with customers, and guide opportunities through close. You’ll connect each solution to a clear business case and stay engaged through adoption, expansion, and renewal so customers realize the value of what they buy. You’ll partner with BDRs, Outcomes Architects, and technical or product specialists while maintaining clear ownership of customer relationships, opportunity momentum, and next steps. If you’re a builder who loves to sell—and want to work at the intersection of AI, productivity, and enterprise—this is the role. This role will be based in Dublin. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Create pipeline across your book of business. Build target-account plans with BDRs and initiate outreach to priority stakeholders to generate qualified opportunities, alongside BDR-sourced pipeline. - Own opportunities from first conversation through close. Lead discovery, qualify business needs and urgency, align stakeholders, shape the solution and business case, and drive the evaluation and commercial decision. Navigate commercial sizing, proposal construction, procurement, legal, and security review to close deals with the right scope, credits, and implementation path. - Design and validate workflow solutions that deliver measurable value. Map current- and future-state workflows, co-build solutions live in Notion, and define realistic scope, success criteria, and an implementation path. Translate customer needs and validated outcomes into a clear business case, commercial recommendation, and decision path. Treat discovery as an opportunity to build and validate. - Orchestrate the right partners while maintaining ownership. Engage BDRs, Outcomes Architects, and technical or product specialists at the right moments, with clear context and asks, while owning opportunity momentum, customer communication, and next steps. - Drive customer value and commercial growth after signature. Partner with Outcomes Architects, guide the initial path to value with a clear adoption plan, on onboarding and ongoing multi-workflow adoption, and own expansion strategy and renewal planning. Stay accountable for translating credits sold into credits consumed, and surface risks or expansion opportunities as customer workflows mature. SKILLS YOU'LL NEED TO BRING: - Commercial ownership and pipeline generation. You can demonstrate how you created or advanced business, influenced customer decisions, and owned measurable outcomes. Relevant experience may come from quota-carrying sales or adjacent customer-facing roles. - Technical fluency and builder mindset. You are comfortable building live in software and can demo, co-design, and troubleshoot with a customer without needing a specialist in the room. - AI fluency. You are excited about AI, build with new tools, and continually learn new ways of working. - Discovery, qualification, and value articulation. You can uncover customer needs, map workflows, qualify business impact and urgency, and translate what you learn into commercial outcomes, adoption plans, and clear success criteria. - Agency, urgency, and learning velocity. You set clear goals, take initiative, learn from customer interactions, and apply those learnings to improve outcomes. You bring new ideas and workflows to customers and make complex problems easier to solve. - Complex customer engagement. You can lead multi-stakeholder interactions and navigate procurement, legal, and security review cycles. NICE TO HAVES: - Full-cycle B2B software sales experience or solutions engineering experience, with a consistent track record of exceeding quota across new-logo acquisition and expansion motions. - Familiarity with usage-based or consumption-based pricing models and the ability to structure credit-based commercial proposals. - Prior experience selling to mid-market and enterprise accounts in productivity, collaboration, or workflow software. - Experience in a shared account ownership model, partnering with a post-sale or Customer Success team as part of an integrated customer motion. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €174,000 -€186,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Lisbon, Portugal About the Role The Site Reliability Engineering team at iCapital is fundamental to ensuring our platform delivers consistent, reliable service to our client base. Our services run on Kubernetes in AWS, and this role focuses on keeping them healthy in production. We're looking for the hands-on engineer others turn to when production is broken and the cause isn't obvious. You'll troubleshoot across the full stack (the application, its containers, Kubernetes, and the underlying cloud infrastructure) and turn what you learn into lasting improvements: stronger reliability standards, safer rollouts, sharper alerts, and automation that prevents repeat failures. You'll rely on metrics, logs, and traces every day, but the heart of this role is diagnosing and fixing what they reveal. Responsibilities Act as a senior escalation point for complex production issues in Kubernetes-based services, leading hands-on investigation across application, container, Kubernetes, and AWS layers through to root cause. Partner with the teams that own our cluster infrastructure to resolve platform-level issues, and feed what you learn back into reliability standards and improvements. Define and implement reliability and operability standards for Kubernetes-based services, including resource sizing, health checks, scaling patterns, rollout safety, and baseline monitoring, as part of service onboarding. Serve as Incident Commander or senior technical lead for high-severity incidents, lead postmortems, and drive systemic improvements through action items and measurable follow-through. Turn recurring investigations into runbooks, diagnostic tooling, and automated remediation that shorten time to resolution and eliminate toil. Coach engineers in systematic troubleshooting and Kubernetes best practices through reviews, game days, and knowledge sharing. Define, implement, and iterate service level objectives (SLOs) and service level indicators (SLIs) that reflect customer and business expectations. Standardize monitoring and alerting through “monitors as code” (Terraform preferred), including quality gates such as severity, ownership, and runbook links. Operate and tune OpenTelemetry pipelines, including sanitizing data, managing cardinality, and enriching telemetry with consistent fields. Maintain the infrastructure behind our monitoring stack, including Helm charts, ArgoCD ApplicationSets, Kinesis streams, Lambda functions, and Prometheus. Participate in on-call rotations with a focus on improving reliability, reducing alert noise, and increasing signal quality over time. What You'll Need (Must-Haves) 5+ years in SRE or related roles, with evidence of technical seniority across multiple services and teams. 3+ years of hands-on experience running and troubleshooting production workloads on Kubernetes, with a deep understanding of how Kubernetes schedules, connects, scales, and rolls out workloads. Proven ability to independently diagnose complex failures in distributed systems running on Kubernetes, spanning application, configuration, resource, networking, and scaling issues, including cases where the root cause wasn't obvious. Strong Linux and networking fundamentals, with the ability to troubleshoot below the container layer. Strong production experience with AWS, including how cloud networking and access controls affect workloads running in Kubernetes. Strong incident response skills, including leading retrospectives/postmortems and following through on systemic fixes. Strong IaC skills (Terraform preferred), with examples of reusable modules, monitors-as-code patterns, or similar standardization work, and the coding ability to build automation and diagnostic tooling. Track record of defining SLOs/SLIs and using an observability stack (such as Prometheus/Grafana, New Relic, Splunk, or similar) to drive decisions and find root causes quickly. Clear written and verbal communication, with the ability to influence engineering teams through standards, tooling, and practical guidance. Nice to Have Kubernetes certification (CKA or CKS) or equivalent depth. Experience improving rollout safety and autoscaling behavior for Kubernetes workloads. Familiarity with common data stores (Postgres, MongoDB, DynamoDB) and how they fail in distributed systems. OpenTelemetry instrumentation experience at scale. We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday). Benefits iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO). For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

Location: San Francisco; Remote (United States); Seattle; New York City Perplexity serves hundreds of millions of queries a month. Every answer, every Perplexity Computer task, and every enterprise deployment runs on production infrastructure owned by the Cloud Infrastructure team: a fleet of Kubernetes clusters across a multi-account AWS estate, private networks that reach hyperscalers and the neoclouds serving our models, and the storage underneath our user data and agentic workloads. We're looking for SREs who treat reliability as a software problem. You'll own compute, networking, and storage at scale and keep production stable while everything built on top of it is changing fast. RESPONSIBILITIES - Own production at scale. Run the compute, networking, and storage foundation behind Perplexity's consumer, Computer, API, and enterprise products, and own its availability, latency, and cost. - Run our Kubernetes fleet. Operate and upgrade the EKS clusters that host web services, search, datastores, and secure sandboxes. Tune scheduling, autoscaling, node lifecycle, DNS, and service networking so clusters stay healthy under bursty, fast-growing load. - Engineer the network. Design and operate VPC architectures, Transit Gateway and PrivateLink connectivity, load balancing, DNS, and egress across accounts, regions, and cloud providers. - Keep data durable and fast. Own the storage layer (EBS, S3, DynamoDB, and the managed databases and caches our services depend on), including performance, durability, backups, and restores that have actually been tested. - Manage everything as code. Run infrastructure through Terraform and CI/CD. Build reusable modules and guardrails, and make every change reviewable, repeatable, and safe to roll back. - Prepare for failures. Define SLOs, build alerts that someone can act on, design for zone and regional failure, and run game days and disaster-recovery exercises that prove recovery works. - Lead incident response. Be on the critical path when things break. Drive incidents to resolution, write blameless postmortems, and land the fixes so the same failure never pages anyone twice. - Scale ahead of demand. Own capacity planning, quotas, reservations, and cost efficiency so product launches and traffic spikes never wait on infrastructure. - Automate away the toil. Build tooling, increasingly agent-driven, that turns provisioning, upgrades, and remediation into self-serve, hands-off workflows for every engineering team. QUALIFICATIONS We expect you to have real depth in most of these: - Deep AWS expertise. You know VPC, IAM, EC2, EKS, ELB, Route 53, S3, EBS, etc. well past the console, including their limits, failure modes, and the bill that comes with them. - Production Kubernetes at scale: cluster upgrades, CNI, CoreDNS, autoscalers like Karpenter, and debugging a misbehaving node at 3 a.m. Writing Helm charts alone doesn't count. - Terraform mastery. You've designed module structures, managed state across many accounts, and run large refactors and imports without taking production down. - Strong networking fundamentals (TCP/IP, DNS, TLS, load balancing, routing). - You write real code in Python, Go, or Rust for automation, tooling, and controllers, and you'd rather automate a runbook than follow it. - Fluency with observability tools like Datadog, Prometheus, or Grafana, and the judgment to turn metrics, logs, and traces into SLOs and alerts that matter. - A track record of leading production incidents and turning root-cause analysis into durable fixes. - You own problems end-to-end and do well when the path forward isn't laid out for you. ADDITIONAL EXPERIENCE WE VALUE - Multi-region active-active or failover architectures, and disaster-recovery programs with real recovery targets. - Proxies, service meshes, and kernel-level networking: Envoy, Istio, Cilium, or eBPF. - GitOps and progressive delivery: Argo CD, Flux, or similar. - Enterprise and compliance environments: single-tenant or BYOC deployments, KMS/BYOK, SOC 2 or similar controls. - Running stateful systems in production: Postgres, Redis, or search engines like Vespa or Elasticsearch. - Multi-cloud or neocloud operations (GCP, CoreWeave, or similar). - FinOps: cost attribution, Savings Plans and reservations, and making infrastructure cheaper without making it fragile.

Location: San Francisco; Remote (United States); Toronto; Seattle; New York City Perplexity serves hundreds of millions of queries a month, and every one of them fans out into multiple AI inference requests running in real time. Behind that sits a large GPU fleet spread across several cloud providers. Today, our inference engineers and researchers build models while also managing networking, securing capacity, and operating the underlying GPU clusters, responsibilities we want a dedicated platform team to own. Your job is to take ownership of that infrastructure and hide its complexity behind a unified, self-serve platform for running training and inference workloads. RESPONSIBILITIES - Build a self-serve compute platform. Design and own the systems that let inference engineers and researchers launch training jobs and operate inference services without managing GPU provisioning, cluster configuration, or provider-specific infrastructure. - Operate the GPU fleet. Own provisioning, lifecycle management, reliability, and capacity integration across providers, giving teams a consistent way to use compute regardless of where it runs. - Solve for GPU scarcity. Build the scheduling and placement logic that finds available capacity across providers, packs it efficiently, and gets the right workload onto the right hardware under real constraints. - Support two very different workloads. Keep long-running distributed training jobs healthy while simultaneously guaranteeing the availability and latency of production inference services on the same fleet. - Own the Kubernetes for GPU orchestration. Write the operators and CRDs, and manage many clusters across providers so the platform behaves the same everywhere we run. - Make failure boring. Build the fault tolerance, autoscaling, and observability that keep the fleet utilized and let workloads survive node loss, provider hiccups, and capacity shifts without human intervention. - Set technical direction across teams. Partner with inference and cloud infrastructure engineers to turn operational constraints into a coherent platform architecture and roadmap. QUALIFICATIONS We expect you to have real depth in most of these: - Deep Kubernetes experience — custom operators, CRDs, and multi-cluster federation, not just running kubectl apply. - You've managed GPU clusters at scale: NVIDIA hardware, CUDA, and the networking that makes them fast (InfiniBand or RoCE). - You've orchestrated compute across multiple clouds (CoreWeave, AWS, GCP, or similar) and understand how different each one really is. - Strong distributed systems fundamentals: scheduling, resource allocation, and fault tolerance under load. - You write infrastructure and systems-level code in Go, Rust or C++. - You've supported both long-running training jobs and high-availability inference services, and you know why they pull infrastructure in opposite directions. - You own problems end-to-end and do well when the path forward isn't laid out for you. ADDITIONAL EXPERIENCE WE VALUE - Inference serving stacks: vLLM, SGLang, or TensorRT-LLM. - Slurm or other HPC schedulers. - GPU kernel work in CUDA or Triton — not required, but notable. - High-speed interconnects: InfiniBand, RoCE, or RDMA in production. - Observability for ML workloads: Prometheus, Grafana, or Weights & Biases.

Location: Dhahran, Saudi Arabia Eram Talent is hiring for one of its most prestigious clients in Saudi Arabia for experienced Rotating Equipment Engineers specializing in Turbine Testing or Pump Testing. The primary responsibility of this role is to plan, execute, and evaluate mechanical, functional, and performance testing of overhauled rotating equipment, with a specialization in either industrial steam turbines or pumps. The role requires strong technical expertise in equipment assembly, testing procedures, instrumentation, vibration analysis, performance evaluation, troubleshooting, and quality assurance to ensure equipment reliability, safety, and compliance with applicable industry standards. Key Responsibilities As the successful candidate, you will be required to perform the following: 1. Test Engineering & Planning Review equipment drawings, technical specifications, overhaul reports, repair scopes, and testing requirements to establish appropriate test procedures, operating conditions, and acceptance criteria. Develop and review test plans, verify test rigs and systems, and ensure the availability and calibration of required instrumentation. Ensure testing activities comply with applicable industry standards, client specifications, quality requirements, and workshop safety procedures. 2. Mechanical, Functional & Performance Testing Execute mechanical, functional, and performance testing of overhauled rotating equipment, specializing in either steam turbines or pumps. For turbine testing, perform slow-roll, uncoupled run, overspeed, trip, governor, trip-and-throttle valve, lubrication, vibration, temperature, and leakage tests, as applicable. For pump testing, conduct hydrostatic, mechanical running, and performance tests, including the evaluation of flow rate, differential head, pressure, power consumption, efficiency, vibration, bearing temperature, and leakage, as applicable. Verify equipment operating conditions, test-system readiness, instrumentation accuracy, safety interlocks, and protective systems before and during testing. 3. Performance Evaluation & Technical Analysis Evaluate test results against approved procedures, manufacturer specifications, contractual requirements, and applicable testing standards. For turbines, assess speed, steam conditions, power output, efficiency, heat rate, valve response, and governor stability, as applicable. For pumps, evaluate head-flow characteristics, efficiency, power requirements, operating curves, and performance against specified duty points and acceptance criteria. Interpret test data, identify performance deviations, and recommend corrective actions to achieve the required operating and acceptance parameters. 4. Diagnostics, Troubleshooting & Root Cause Analysis Diagnose mechanical and performance-related issues, including excessive vibration, bearing problems, shaft misalignment, thermal effects, lubrication issues, abnormal temperatures, leakage, and instability. For turbines, investigate rotor dynamics, steam-path losses, governor malfunctions, trip-system issues, and lubrication-related failures. For pumps, investigate cavitation, hydraulic instability, inadequate flow or head, seal leakage, impeller-related issues, bearing failures, and abnormal operating conditions. Conduct root cause analysis (RCA), recommend corrective and preventive actions, and validate equipment performance through retesting where required. 5. Technical Documentation & Quality Assurance Prepare and review test procedures, inspection records, calibrated-instrument lists, performance curves, certified test reports, deviation reports, and technical recommendations. Document test results, identify non-conformities, and coordinate corrective actions with repair, assembly, inspection, and quality teams. Ensure complete technical documentation and verification of acceptance criteria before recommending equipment release to service. 6. Equipment Assembly & Workshop Support Provide technical guidance on rotating equipment assembly, rotor and shaft inspection, bearing and seal clearances, alignment, and mechanical integrity verification. Support workshop teams in resolving assembly, repair, testing, and performance-related issues. Collaborate with engineering, maintenance, quality, and workshop personnel to improve equipment reliability, testing effectiveness, and compliance with technical requirements. Requirements Bachelor's degree in Mechanical Engineering from a recognized and approved program. At least 15 years of rotating equipment experience, including a minimum of 8 years of relevant hands-on experience in industrial steam turbine or pump repair, overhaul, assembly, diagnostics, or testing. Demonstrated practical experience in either steam turbine testing or pump testing, including mechanical running tests, performance evaluation, troubleshooting, and technical reporting. Strong knowledge of rotating equipment fundamentals, vibration analysis, rotor dynamics, shaft alignment, bearings, seals, lubrication systems, and machinery protection. Experience with mechanical and performance testing instrumentation, including vibration, temperature, pressure, flow, speed, and power measurement systems. Ability to interpret technical drawings, equipment specifications, test procedures, performance curves, and applicable industry standards. Proven capability in root cause analysis, technical problem-solving, performance assessment, and preparation of detailed engineering reports. Preferred Qualifications Relevant OEM training or specialized technical training in steam turbines or pumps. Experience with applicable API standards and other recognized rotating equipment testing standards. Mobius vibration analysis certification, Category II or higher, or equivalent qualification. ICML MLA I or an equivalent lubrication certification. Hands-on experience with workshop test rigs, instrumentation systems, machinery protection systems, and equipment acceptance testing. Experience in industrial, oil and gas, petrochemical, power generation, or other process-industry environments. Specialization: Candidates must have substantial hands-on expertise in either Steam Turbine Testing or Pump Testing .

Location: NYC, New York Workplace: OnSite Kit https://kit.com/ is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. THE ROLE Kit's content team is producing more video than ever — creator interviews, webinars, product demos, and a steady stream of organic social — and we need an editor and videographer who can keep pace without sacrificing quality. This is a part-time contract role, not full-time, but you'll sit on the content team, working directly from our raw footage and briefs rather than a detailed spec sheet. Short-form is the priority, but you'll flex between quick social cuts and longer editorial pieces depending on what the week calls for. You should feel comfortable filming and editing for both   YOUR SUPPORT SYSTEM You'll report to Cait Miller https://www.linkedin.com/in/caitlin-miller-38869432/, Team Lead, Content Marketing, and work closely with our social and creator education content marketers, who you will partner with for filming, briefs, and priorities week to week. Your other main collaborators are: our Growth marketing lead on paid ad social cutdowns and our in-house Brand team to understand the brand standards of Kit.   WHAT YOU'LL DO - Film - Join us in studio or on set as needed for original Kit content - Feel comfortable both with on-the-ground filming as well as set and event filming - Experience working with creators a plus - Short-form - Cut organic social content — Reels, talking-head videos, product clips, UGC, and more - Turn longer creator interviews and webinars into paid ad creative - Long-form - Edit case study and creator interview videos - Produce quick YouTube product and feature tutorials - Edit evergreen webinar recordings into polished, on-demand videos - Slice webinars, interviews, and existing footage into 2–5 minute mini-course lessons for YouTube or other platforms WHAT WILL S.E.T. YOU UP FOR SUCCESS   Skills - Strong command of a professional filming and editing tools (Adobe Premiere Pro preferred; familiarity with CapCut, Opus Clip, or Descript as needed) - Fast, clean editing on talking-head and interview footage — pacing, captions, and audio cleanup that doesn't need a re-do - An eye for turning long-form footage (interviews, webinars) into engaging short-form social cuts - Comfort applying brand guidelines — fonts, captions, colors — consistently across a high volume of videos - Strong eye for quality and polish — Has a high bar for craft and can catch small details in cuts, pacing, transitions, audio, and endings that can make a video feel unfinished or sloppy. - Ability to work within a brand system — Comfortable interpreting and consistently applying brand guidelines across typography, color, composition, motion, imagery, and overall visual language. - Strong design fundamentals — Understands core principles like hierarchy, composition, typography, spacing, and visual storytelling, and can apply them naturally in video. - Collaborative with Brand/Design — Comfortable partnering closely with designers and creative leadership, receiving feedback, and incorporating brand considerations throughout the editing process. Experiences - 4+ years editing social-first video content, ideally for a brand, creator, or agency - Experience editing both short-form (Reels/TikTok/Shorts) and longer-form (YouTube, webinar, interview) content - Hands-on experience with recorded interviews, webinars, or talking-head footage — not just b-roll or UGC-only editing - Nice to have: experience editing course-style or educational video content Traits - You're fast without cutting corners — this team is high-volume and needs an editor who won't become the bottleneck - You can take a rough idea or raw footage and make it genuinely engaging, without leaning on clickbait - You take feedback well and don't need heavy oversight once you know the brand - You're comfortable juggling several projects across short- and long-form at once   WHAT WON'T SET YOU UP FOR SUCCESS - Needing a detailed shot list or heavy direction before you can start cutting - Discomfort with fast turnarounds — some weeks call for same-week social turnaround - Preferring to specialize in only one format — this role moves between short- and long-form regularly - A style that leans on clickbait hooks or gimmicks over substance   GEOGRAPHIC CONSIDERATIONS While Kit operates as a fully remote organization, certain deliverables require on-location support, including filming original content, supporting studio and on-set productions, and capturing footage at in-person events. These activities will primarily take place in New York City, so we will give preference to candidates based in the NYC area who can provide on-site support as needed.   COMPENSATION This is a 6-month part-time contract (25 hours/month), with the possibility of extension. The monthly retainer is $3,000–$5,000, based on experience.   HOW TO APPLY We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: 1. Hiring manager interview 2. Panel Interview   We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Location: England; Portugal; Spain; Italy; Germany Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker Forward Deployed Engineers (FDE) embed directly with our most strategic customers to solve important, complex technical problems and turn ambitious ideas into production outcomes. FDEs take on the most challenging technical challenges using existing Docker products and patterns when possible, and work across customer, Docker Product and Engineering teams to realize new approaches when required.   As a Docker FDE, you will work side-by-side with customer engineering teams to deeply understand their goals, problems, constraints, and technical landscape; identify the highest-leverage opportunities; and design, build, and ship solutions with them. You own the technical journey from discovery and architecture through prototyping, implementation and production rollout.   The solutions you build may use existing Docker products, extend Docker into new environments, integrate deeply with customer and third-party systems, or reveal capabilities that Docker should build next. You work closely with Docker Solutions Architects to evolve existing patterns, and Docker Product and Engineering to turn new learnings into reusable patterns and product capabilities. _______________________________________________________________________   RESPONSIBILITIES Build in Production with Customers - Embed with customer engineering teams to design, build, and ship solutions from first prototype through stable production rollout. Use existing Docker products and patterns when possible, invent, prototype and validate innovative solutions when necessary. - Deliver working technical artifacts to customers: custom MCP servers with tightly integrated Docker Sandbox environments for coding agents and containerized agents; Docker Compose definitions for multi-agent harnesses and model-backed applications; Hardened Image standardization and migration; New tools that unblock customer progress. - Integrate Docker's AI platform with the customer's existing stack, including identity providers (OIDC/SAML/SSO), secrets management, private and air-gapped registries, Kubernetes, CI/CD pipelines, and observability tooling. - Own technical delivery on your engagements: scope the work, sequence it, make trade-offs between speed and quality, remove blockers early, and contribute directly to code whenever progress depends on it. Make AI Adoption Safe and Governable - Translate customer security, compliance, and platform requirements into concrete plans and see those plans through from ideation to production. - Help customers define controls to enable them to adopt agentic AI to solve their unique business problems without compromising security, compliance, data sovereignty or end-user experience. - Establish quality and performance standards for customers and work closely with Docker Product and Engineering to quickly address issues that fall outside of established thresholds - Partner with customer security and platform teams to get agentic workloads through architecture review, threat modeling, and change control. Partner with Solutions Architecture and the Field - Work closely with Solutions Architects to enable off-the-self solutions when possible and provide technical experience and leadership when a bespoke solution is necessary. - Feed implementation learnings back into reference architectures, SOW templates, and success patterns so that FDE innovations become standard features and implementation patterns. - Support the field with technical depth during proofs of concept, escalations, and expansion conversations when a working build is the fastest path to a customer adoption. Close the Loop with Product and Engineering - As part of Docker Engineering FDEs work closely with Product and Engineering teams to fold FDE innovations, learnings, and design patterns into existing or new products and services. - Work with Customers, Product and Engineering to establish quality and performance thresholds, ensuring customer environments meet them consistently, and responding quickly and decisively when they don’t. - Be the voice of the customer. Deliver data-driven and actionable feedback to Product and Engineering: what works well; what does not; what customers are asking for; and what blocks their adoption and forward progress. FDE experience directly influences the roadmap. Shape the Practice - Define the FDE engagement model, delivery standards, and quality bar, and codify them so that engagements are consistent across customers, regions, and delivery partners. - Mentor and lead other Forward Deployed Engineers, and participate in hiring loops to grow the team. - Act as the senior technical escalation point on the hardest problems impacting your customers. Every incident is an opportunity to improve Docker products and services. - Maintain deep, current knowledge of the agentic AI stack: LLMs, APIs, MCP, coding agents, model and harness evaluation approaches, performance and quality thresholds, deployment patterns. - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. _______________________________________________________________________   QUALIFICATIONS Required - 10+ years of software engineering experience, including 4+ years in a customer-facing technical role such as Forward Deployed Engineer, Solutions Engineer, Professional Services Engineer, or Software Engineer with consulting or technical founder experience. - Technical leadership across multiple engagements, teams, or domains, with a proven ability to set delivery standards, define repeatable patterns, and influence product direction through field evidence. - Expert production coding skills in Go, Python, or TypeScript, with a track record of shipping and operating software that other people depend on and of leading technical design reviews. - Deep, hands-on Docker expertise: Dockerfiles and multi-stage builds, Docker Compose, image and registry operations, container networking and storage, and container security fundamentals. - Hands-on experience building with LLMs and agents in production, including tool use and function calling, the Model Context Protocol (MCP server and client implementation), prompt and context engineering, and evaluation of agent behavior. - Working knowledge of software supply chain security: SBOMs, image signing and attestation, vulnerability management, minimal and hardened base images, and secure CI/CD. - Experience integrating with enterprise systems: identity providers (Okta, Entra ID, LDAP/Active Directory), federated identity protocols (OIDC, SAML), secrets managers, Kubernetes, and at least one major cloud platform (AWS, Azure, GCP). - Ability to scope and deliver complex work in ambiguous, fast-moving customer environments, making sound trade-offs between scope, speed, and quality. - Excellent communication skills with engineers, security and platform teams, and executive stakeholders, with a low-ego, collaborative approach and the ability to lead through influence rather than authority. - Proven track record of technical mentorship and of raising the bar for the engineers around you. - High agency and comfort operating autonomously in distributed, remote-first teams. - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Travel to customer sites to build in person with customer teams, estimated at up to 50%. Bonus - Experience with Docker Hardened Images, Docker Scout, MCP Gateway, MCP Toolkit, Docker Sandboxes, or Docker Model Runner. - Experience deploying and operating coding agents (Claude Code, Codex, Gemini CLI, Cursor, or similar) in team or enterprise settings. - Experience with air-gapped, regulated, or compliance-driven environments in financial services, healthcare, government, or similar sectors. - Contributions to open source projects in the container, Kubernetes, or MCP ecosystems. - Prior experience founding or scaling a Forward Deployed Engineering or Professional Services practice. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Europe: €121K – €198K base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: New York, NY (HQ); San Francisco, CA; Washington, D.C. 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. About the Role You will serve as a Sales Development Representative for Ramp’s Public Sector segment. You will drive outbound prospecting and pipeline generation within a critical growth segment for Ramp (State, Local, and Education). You’ll partner with Account Executives, Leadership, Marketing, and Product to achieve the top-of-funnel business goals. Your success will be directly tied to the broader segment’s success. What You’ll Do - Help build the Public Section motion at Ramp by sourcing SLED deals, bridging introductions and progressing sales opportunities further in the pipeline. - Working with Public Sector AEs to prioritize the right accounts, map the buying group, identify the business trigger and “why now,” and align on a clear path to engagement and progression. - Build state mapping strategies using trigger signals, current penetration, and key logos to win. - Research and engage finance leaders through personalized phone, email, and multi-channel outreach, and qualify prospects through consultative discovery, connecting workflow challenges to business impact. - Clearly explain how Ramp can help finance teams simplify spend management, reduce manual work, and gain visibility and control across financial operations. - Coordinate closely with AEs, Marketing, Partnerships, Events, and other cross-functional teams to use warm introductions, executive programs, customer stories, and account-specific moments appropriately. - Use AI and other tools thoughtfully to strengthen research, prioritization, personalization, and workflow efficiency; validate outputs before using them. - Improve the Public Section motion by testing strategy and AI workflows, learning from results, and turning effective approaches into repeatable team practices. - Maintain accurate prospect and activity data in Salesforce and use performance data to improve outreach quality. What You’ll Need - Proven SDR/BDR, closing, or equivalent quota-carrying experience, with measurable evidence of attainment or overachievement. - Experience working within the Public Sector. - Proven ability to partner closely with Account Executives on account strategy, meeting preparation, deal progression, and executive engagement. - Ability to operate independently in an evolving motion: create structure, manage ambiguity, share learnings, and raise issues early. - Strong written and verbal communication: concise, customer-focused, and specific. - Strong discovery and objection-handling fundamentals. - A builder mindset: identify improvements, create repeatable systems, and learn from results. - Practical AI fluency and sound judgment using tools to improve quality and speed. - A data-driven approach to performance: diagnose results, seek feedback, and change behavior. Nice to Haves - Experience selling into finance, accounting, operations, or technology teams. - Familiarity with Salesforce, sales engagement platforms, intent data, or account research tools. - Former experience scaling a new team or new motion. - Experience working with partner ecosystems. - Familiarity with finance workflows, expense management, accounts payable, procurement, or Enterprise Resource Planning Systems (ERPs) is a strong plus. 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: Remote-US Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. ABOUT THE ROLE At Phantom, we're looking for an AI Engineer to help shape how AI is adopted and scaled across the company. You'll play a key role in building the internal AI tools, integrations, and automation that enable teams to work smarter, move faster, and operate more efficiently. This is a hands on engineering role focused on turning emerging AI capabilities into practical, reliable solutions that drive meaningful business impact. You'll partner closely with teams across the organization to identify opportunities, build AI powered workflows, and establish the technical foundations that make AI accessible, secure, and scalable. We're looking for someone who enjoys building, experimenting, and shipping, with a strong understanding of modern LLM technologies and the engineering fundamentals required to bring AI solutions into production. RESPONSIBILITIES - Build AI Solutions: Design, develop, and deploy AI powered tools, agents, and automation that streamline workflows and solve real business problems across the organization. - Develop AI Integrations: Connect LLMs and AI applications with internal systems, APIs, and enterprise tools to enable seamless, intelligent workflows. - Own AI Infrastructure: Build and maintain the underlying infrastructure, services, and integrations that support reliable AI applications across teams. - Enable AI Adoption: Partner with stakeholders to identify opportunities for AI, translate business needs into technical solutions, and empower teams to leverage AI tools effectively. - Build for Scale: Develop reusable components, frameworks, and tooling that make it easier for teams to build, customize, and maintain their own AI workflows. - Ensure Security & Reliability: Implement appropriate access controls, monitoring, observability, and operational safeguards to ensure AI solutions are secure, reliable, and maintainable. - Optimize AI Usage: Monitor model performance, usage, and costs while identifying opportunities to improve efficiency, quality, and business outcomes. - Drive Innovation: Stay current with emerging AI technologies, evaluate new models and frameworks, and identify practical opportunities to bring new capabilities into the organization. QUALIFICATIONS - Strong software engineering background with experience building and maintaining production applications, services, or internal platforms. - Hands on experience developing applications using LLMs such as OpenAI, Anthropic Claude, or open source models. - Proficiency in Python, TypeScript, or similar programming languages, with experience integrating APIs and building backend services. - Experience building AI agents, workflow automation, or applications that leverage LLM orchestration frameworks. - Familiarity with retrieval augmented generation (RAG), tool calling, structured outputs, prompt engineering, and modern AI application patterns. - Experience integrating applications with enterprise tools, internal systems, and third party APIs. - Understanding of cloud infrastructure, deployment practices, monitoring, and production reliability. - Strong product mindset with the ability to translate ambiguous business problems into practical technical solutions. - Ability to work independently, take ownership of projects, and collaborate effectively with both technical and nontechnical stakeholders. - A genuine interest in AI and a bias toward experimentation, execution, and measurable impact. NICE TO HAVE - Experience building internal AI platforms or enterprise AI automation solutions. - Familiarity with AI coding tools, agent frameworks, and orchestration platforms. - Experience with technologies such as LangChain, LangGraph, Claude Agent SDK, or similar frameworks. - Experience with MCP, enterprise connectors, and AI tool integrations. - Familiarity with LLM observability, evaluation frameworks, cost optimization, and usage analytics. - Experience implementing security, governance, and access controls for enterprise AI applications. - Experience working in a fast growing technology company where speed, ownership, and adaptability are essential. You'll help make AI a practical and valuable part of how Phantom operates. Success means delivering solutions that teams actively use, reducing manual work, accelerating execution, and creating a scalable foundation for continued AI adoption. You'll have the opportunity to own projects from concept through production, influence our internal AI strategy, and help define how we leverage AI across the organization. Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.

Location: Europe or US ABOUT THE TEAM ClickHouse is hiring a talented Senior Frontend Engineers for our Unified Console - Growth Team. This team focuses on great user experience, A/B testing, signup and authentication funnel, onboarding, customer activation and product analytics instrumentation. If you’re excited about implementing seamless UX, have a genuine interest in business metrics and customers behaviour, this team could be a great fit. WHAT YOU WILL DO - Implement new onboarding flows, A/B experiments and upgrade funnels to improve conversion and retention - Partner cross-functionally with product and design - Contribute to our growth infrastructure: attribution system and experiments framework - Help maintain code quality, organization, and automation - Participate in code reviews and contribute to a culture of continuous improvement WHAT WE ARE LOOKING FOR: - 6+ years experience building customer-facing products at a high quality software company - Strong React, Typescript and web fundamentals - Track record of driving complex, end-to-end features - A strong product and UX sensibility - Excellent communication and collaboration skills 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 team member who joins our company receives stock options. - 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: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re looking for a proven operator to redesign how Customer Support works across Human and AI Support. Fin is an AI-first support organisation, and our processes should reflect that: you’ll have a genuine licence to rethink, rebuild or retire existing processes from first principles, not just refine them. This is a hands-on and strategic role: you keep day-to-day operations running well and fix what is broken, while building a long-term process strategy for the whole of Customer Support. You will also help embed Continuous Improvement, using conversation and quality insights to decide what we fix, retrain and prioritise next. Support at Fin changes constantly, and our processes need to keep pace with this level of change. The right candidate is exceptionally customer-focused, comes from a customer-facing background, and has experience leading and managing processes and workflows in a large organisation. You bring clear opinions and recommendations, work with a high degree of autonomy, and hold the line on the customer experience when working with other teams. You combine exceptional project management and attention to detail with a data-driven mindset and a proven ability to influence and collaborate at every level of the organisation. What will I be doing? Strategy and ownership Challenge and, where warranted, completely redesign existing processes and ways of working: you won’t be constrained by ‘how we’ve always done it’, and you’ll have the support of Customer Support leadership to make bold changes Own and evolve the framework for reviewing, prioritising and implementing Customer Support processes and workflows across Human and AI Support, so every change improves the customer experience Build and maintain a long-term process strategy and roadmap for Support, balancing quick wins and immediate fixes with strategic improvements Own the long-term Continuous Improvement strategy for Support, setting priorities and a roadmap that cover both Human and AI support Bring clear proposals and recommendations to leadership, and act on them with autonomy Partner with teams outside of Customer Support to design processes that work end to end, agreeing clear ownership, handoffs and shared goals so the customer experience holds across team boundaries. Process design and improvement Analyse current processes across Human and AI Support and decide whether each should be improved, redesigned from scratch or removed entirely. Where AI and automation can fundamentally change how the work gets done, lead that transformation rather than layering them onto legacy workflows Own day-to-day operational process fixes and keep existing processes effective Design and roll out new or improved processes, solo or with SMEs, partnering closely with Customer Support leaders and ICs in every region so processes work globally, not just for one region Design and implement process control metrics, and monitor process performance and KPIs Use data to find where processes are failing, size the opportunity and prove the impact of changes, building and maintaining dashboards and reports that give leaders a clear view of process health across Human and AI support Ensure compliance with internal policies and external regulations Continuous Improvement Maintain and iterate on the Continuous Improvement framework, using insights from both Human and AI support to drive improvements, across Enablement, Quality, AI support, etc. Turn insights into a prioritised improvement backlog, with clear owners across respective internal teams Track whether each improvement worked, using before-and-after measures such as repeat contact rate, resolution rate and CX Turn customer conversation data into clear, actionable insights for Product, Engineering and other teams, giving them evidence to shape priorities and roadmap decisions Stakeholders and delivery Hold the line on the customer experience with cross-functional partners, challenging constructively when a proposed change would compromise the customer Partner and collaborate with cross-functional teams to build and maintain processes and related training Take full ownership of large, cross-functional special projects that improve the customer experience, increase teammate efficiency and engagement, and drive company goals Communicate and engage on all process and continuous improvement changes with Customer Support and the wider organisation What skills do I need? Experience: 4+ years in Customer Support or a customer-facing role, including 2+ years in process management or continuous improvement and 2+ years in project or program management Strong technical capability: You are hands-on and credible in a complex SaaS tech stack, including CRM systems such as Salesforce. You can configure workflows, integrations and automations yourself rather than relying on others to build them. Experience with system integrations or process harmonisation is a bonus. AI and automation: Proven track record of using AI and automation to drive improvements, ideally in an AI-first or SaaS support organisation. Knowledge of Fin (previously Intercom) is a strong advantage. Improvement frameworks: Strong knowledge of process and continuous improvement methodologies (Six Sigma, Kaizen, etc.) Data and strategy: You analyse data, turn it into clear insights for stakeholders, and build a long-term process strategy and roadmap that becomes practical, prioritised plans Ownership: A self-starter who delivers complex programs with minimal guidance, forms a point of view and brings proposals rather than questions Influence: Confident and credible with senior leaders and cross-functional partners. You challenge constructively and hold the line on the customer experience. Collaboration: Strong communicator who builds rapport quickly with technical and non-technical colleagues and involves frontline teammates early #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Mexico Workplace: remote About Welo Global  Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com  About the Role We're hiring a technically strong Senior Data Analyst to help modernize how our FP&A organization uses data, analytics, and automation. This is an embedded Finance role: you'll report directly to the FP&A Director and work side by side with her day to day while partnering closely with our central Data Analytics and Data Engineering teams on infrastructure, standards, and complex technical problems. It's a hands-on execution role for someone who builds. Financial and operational data at Welocalize lives across multiple systems - Workday Financials, Adaptive Planning, Salesforce, a Redshift data warehouse, Power BI, and years of Excel workbooks carrying critical processes. Much of it doesn't connect cleanly, and a lot of institutional knowledge lives in undocumented spreadsheets, manual processes, and Power Queries rather than any system of record. You might start with a complex, years-old Excel workbook and a simple prompt: “This is how we do this today.” Your job isn't to automate the workbook as-is - it's to understand its purpose, trace its logic to source, figure out what users actually need, and design something better: a rebuilt pipeline, a SQL/Python replacement, a driver-based view, an exception-monitoring workflow, or an AI-assisted tool. We're just starting to build out an FP&A AI repository - documentation, business logic, and workflows meant to let AI reliably execute FP&A processes, not just answer one-off questions - and you'll partner with us to determine its direction. This role is a deliberate combination of three things: 1. Fluency with data itself - the ability to query, shape, and manipulate data directly. 2. An engineering mindset - building automated, repeatable systems (workflows and dashboards that run and refresh on their own, integrations across tools) rather than one-off analysis, and knowing how to scope and coordinate real pipeline or data mart work with Data Engineering. 3. An investigative instinct - the ability to look at data and figure out what it's telling us, not just execute a report exactly as specified. What You'll Do Partner directly with FP&A leadership to understand existing reporting, analytical, and planning processes and identify where they should fundamentally change, not just get faster. • Reverse-engineer complex Excel workbooks and manual processes to understand their data sources, business logic, calculations, and the questions their users are actually trying to answer. • Design and build automated solutions using SQL, Python, ETL/data transformation, APIs, and modern AI tools. • Work through large, imperfect, multi-system datasets - resolving data quality, mapping, reconciliation, and grain issues along the way. • Perform exploratory analysis to identify trends, anomalies, relationships, and underlying business drivers, rather than simply reporting what happened. • Design dashboards and reporting experiences around the decisions people actually need to make, not a recreation of an existing spreadsheet in a new tool. • Build AI-assisted, interactive HTML reporting tools - developed with the help of AI coding tools and engineered to refresh efficiently on their own, without repeated AI calls. • Develop driver-based analysis, exception reporting, and monitoring approaches that surface important changes proactively. • Explore and build AI-assisted and agentic workflows - including ways for LLMs to interact with data, tools, APIs, and reporting processes. • Partner with the central Data Analytics and Data Engineering teams on shared data infrastructure and standards - including scoping and coordinating data pipeline and data mart requests. • Contribute in a leadership capacity within the analytics function even without formal management responsibility - shaping how problems get approached, mentoring by example, and helping set the bar for analytical rigor. • Translate complex analytical findings into clear, actionable insight for Finance leaders and other business stakeholders. • Partner in building out our FP&A AI repository - the documentation, conventions, and workflows meant to let an AI assistant execute FP&A processes reliably - and help shape its direction as we go. How You Think Technical skills matter, but how you approach problems matters just as much. We're looking for someone who: • Is genuinely curious and naturally asks “why?” when something doesn't reconcile or doesn't make sense. • Enjoys digging into messy or unfamiliar data and figuring out how things connect. • Doesn't assume an existing process or report is right simply because that's how it's always been done. • Can take an ambiguous problem and independently structure an approach to solving it, while knowing when to pull others in rather than spinning wheels alone. • Looks beyond the initial request to identify opportunities, risks, and better approaches the requester may not have thought to ask for. • Enjoys collaborative problem-solving - bouncing ideas around, testing hypotheses, and challenging assumptions to get to a stronger answer. • Takes ownership of the areas they work in - the business purpose, the data, the known issues, and the opportunities for improvement - rather than treating each request as a one-off ticket. • Likes building things, experimenting, and continuously improving how work gets done. Required Skills and Experience 5-10 years of relevant experience required. You should be genuinely, hands-on strong across: • SQL - comfortable joining tables, tracing grain, finding duplicates, and validating results in unfamiliar schemas. • Python - practical proficiency for data transformation, analysis, and automation. • ETL/ELT fluency - strong enough understanding of pipeline design to define data requirements, validate output, and partner effectively with Data Engineering on pipeline and data mart requests. Hands-on pipeline-building experience is a plus. • Report and dashboard building - able to design and build a reporting/analytical experience end-to-end, whether on a modern BI platform (Power BI, Tableau, Looker, or similar) or as a standalone interactive HTML/web-based report. Standalone HTML/web-based reports are increasingly our primary format. • Automation - demonstrated experience automating manual, recurring data or reporting workflows. • Comfort learning and adopting new AI-assisted tools and workflows - you should be genuinely curious about this space and ready to build fluency quickly on the job. • Advanced Excel, including the ability to deconstruct sophisticated, undocumented legacy workbooks. • Demonstrated ability to explore data and figure out why something happened - forming and testing your own hypotheses, not just reporting what happened. • Fluent English, spoken and written. This is a fully remote role and you'll communicate directly, in English, with business stakeholders and executive leadership as well as data analysts and engineers across our global organization, where English is the shared working language. Preferred Experience Bachelor's degree in Computer Science, Information Systems, Data Science, or a related quantitative/technical field strongly preferred; equivalent experience acceptable. Master's degree is a plus. • Experience supporting Finance, FP&A, Strategy, Operations, or another analytically intensive business function. • Familiarity with financial concepts such as revenue, margin, profitability, forecasting, and variance analysis. • Experience modernizing legacy Excel-based reporting or analytical processes. • Experience working in an environment where data is distributed across multiple systems and isn't always perfectly documented. • Experience working effectively in a fully remote, distributed team environment. • Exposure to AI/agentic tooling, or experience helping design how AI gets applied to a business process (e.g., LLM workflows, tool/function calling, RAG, MCP, building AI-assisted reporting or automation). • Machine learning, statistical modeling, or formal data science experience is welcome but not required.

Location: United States Workplace: Remote About the Team The Access Control team owns authorization across ClickHouse Cloud. We design and enforce the roles and permissions model, organization hierarchies, API key management, and security boundaries that every product surface and tenant depends on. Having recently shipped custom roles and fine-grained access, we are now evolving our architecture to support our largest enterprise customer structures. What You Will Do - Architect and build the next generation of our authorization model: multi-level organization hierarchies, workspace isolation, and resource-scoped roles. - Implement and enforce consistent authorization checks across all public and internal APIs. - Build tooling and migration pipelines to evolve live authorization models without downtime or customer disruption. - Partner cross-functionally with Product, Design, and Customer Identity teams to deliver seamless permission management UIs. What We Are Looking For - Experience: 6+ years building security platforms, access control engines, or core backend services at scale. - Domain Expertise: Deep knowledge of RBAC/ABAC policy models, fine-grained permission enforcement, multi-tenancy isolation, API keys, and SAML/SSO. - Core Stack: Excellent TypeScript/Node.js fundamentals and strong schema design skills in PostgreSQL or relational stores. - Migration Discipline: Proven track record of executing live customer data migrations and building high-correctness systems where failure is not an option. Ideal Backgrounds: Enterprise identity platforms, IAM security tools, zero-trust cloud infrastructure, or core authorization teams at major B2B SaaS companies. 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 team member who joins our company receives stock options. - 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: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma employees are among the most AI-active in the industry, and our Internal AI team, part of FTS (our Business Technology org), helps turn that energy into meaningful impact by making it easier for every Figmate, from Sales and Support to Finance, People, and Legal, to safely adopt AI and use it to improve how they work. We’re a small, high-leverage team organized around three pillars: Platform & Tooling, Infrastructure & Hosting, and Applied AI Builds, and this role is a key member of the Applied AI Builds pillar. As an AI Engineer, Internal Tools, you’ll work directly with teams across Figma to identify high-value AI opportunities and take them to production, moving from understanding a business workflow, to rapidly prototyping an approach, to evaluating it and integrating it with the systems and data needed to make it useful in the real world. This isn’t a role focused only on building AI demos: you’ll own solutions through production, help determine where AI adds value and where traditional rules-based software is the right choice, and shape how agents can safely take actions across enterprise systems. As common patterns emerge, you’ll partner with our Platform & Tooling and Infrastructure teams to build reusable capabilities that make future AI builds faster and safer. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Partner directly with teams across GTM, Finance, People, Legal, Support, and other business functions to understand workflows and identify high-value opportunities for AI Design, build, and productionize AI agents, assistants, and workflow automations that solve real business problems using LLMs, tool calling, RAG, structured outputs, agent frameworks, MCP, APIs, and enterprise data Integrate AI applications with enterprise systems and data sources across GTM, Finance, People, Support, and internal APIs Build evaluations and feedback loops to measure accuracy, reliability, and business impact before and after AI solutions reach production Design deterministic guardrails, human-in-the-loop controls, and approval patterns for workflows where AI systems take business-critical actions Build production-ready systems with strong observability, failure handling, security, authentication, authorization, and auditability Identify reusable patterns across individual AI projects and build them out as shared components and capabilities in partnership with our Internal AI platform teams Help define how Figma approaches Applied AI engineering and scales AI adoption across the company We’d love to hear from you if you have: 5+ years of software engineering experience building production applications, integrations, backend systems, or AI-powered products Hands-on experience building applications with LLMs, agents, retrieval-augmented generation, function calling, schema-constrained outputs, or evaluation frameworks Experience taking an AI application or workflow beyond a prototype and operating it in a production environment Strong API, integration, and system design fundamentals, with experience connecting applications across multiple systems and data sources and strong engineering judgment about when to apply AI and when a rules-based approach is the right choice, and experience designing reliable production systems with appropriate observability, failure handling, authentication, authorization, and security controls Experience working directly with non-engineering stakeholders to understand ambiguous business problems and translate them into technical solutions and ability to move quickly from discovery to prototype while understanding what is required to safely and reliably productionize a solution While it’s not required, it’s an added plus if you also have: A background building internal AI applications or working in an Applied AI, Forward Deployed Engineering, or AI Solutions Engineering role Experience with MCP, agent orchestration frameworks, and enterprise tool-calling patterns Knowledge of AWS Bedrock, AgentCore, OpenAI, Anthropic, or similar AI platforms Experience integrating enterprise systems such as Salesforce, Zendesk, Workday, NetSuite, Greenhouse, or Slack Knowledge of with AI evaluations, observability, prompt/version management, and human-in-the-loop systems Experience implementing enterprise identity and access patterns such as Okta, SSO, OAuth, and secure service-to-service authentication, within Security, Privacy, SOX/ITGC, or other enterprise governance requirements At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $296,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: São Paulo, Brazil Workplace: fully Sumsub is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets. Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, and Kaizen Gaming. Sumsub is recognized as a Great Place To Work® in the US and rated 4.5 out of 5 on Glassdoor. Our 1,000+ people around the world back it up, too: 92% are proud to be Sumsubers, and 90% say their work is interesting and challenging. We are looking for a customer-focused Post-Sales Solution Architect (LatAm) to join our team. In this role, you will be the technical cornerstone of the onboarding journey, partnering closely with our clients to turn complex technical requirements into seamless, robust integrations. You will bridge the gap between our engineering teams and enterprise customers, ensuring rapid time-to-value, flawless API/SDK implementation, and high customer satisfaction. What You Will Be Doing: Engage directly with prospective and existing customers, providing hands-on technical guidance, architecture recommendations, and best practices throughout their deployment journey. Collaborate closely with client engineering and product teams to evaluate their technical stack and select optimal integration strategies (APIs, Webhooks, Mobile/Web SDKs). Conduct rigorous end-to-end testing and validation of customer environments before go-live, ensuring adherence to data security standards, compliance flows, and edge-case handling. Efficiently diagnose, debug, and resolve complex technical issues, payload errors, and connectivity blockers during integration phases. Partner directly with our Product and Engineering teams to channel recurring client feedback, identify platform limitations, and drive continuous feature improvements. Contribute to external integration guides, code snippets, and internal knowledge bases to continuously streamline the onboarding lifecycle. About You: 2+ years of hands-on experience in a client-facing technical role (Solutions Engineer, Solutions Architect, Technical Integration Specialist, or L2/L3 Technical Support) focused on software architecture and third-party integrations. Strong command of RESTful APIs , payload structures (JSON), and SQL for data extraction, querying, and verification. Direct experience debugging and validating API behavior using tools like Postman (or curl) and analyzing web applications via browser developer tools (Network, Console). Practical ability to write and adapt scripts in Python or Java for automation, testing, and debugging workflows. Fundamental understanding of HTML and CSS to troubleshoot frontend display, widget embedding, or client-side integration issues. Hands-on experience querying logs, monitoring systems, and performing root-cause analysis using Kibana / Elastic Stack . Full professional proficiency in English, Portuguese, and Spanish (written and verbal). What We Offer: Remote-first, trust-based culture. Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours. True flexibility. We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team. Extra time off. Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal. Work that matters. Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online. Compensation. We offer fair and transparent pay, benchmarked to the market. Truly global. We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide. Growth built in. Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums. Celebrating your big moments. We are proud to support you through life’s biggest journeys with dedicated financial bonuses for both marriage and welcoming a new baby to your family. Team offsites. Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together. Getting you set up. We make sure you have access to the tools and hardware you need to do your work well. Friendly by design. Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun. The hiring stages: TA screening -> Hiring Manager Interview -> Final Interview. Sounds like a great opportunity for your career development? Then go ahead and apply! We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively. We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions. This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting. The applicable work location will be confirmed early in the recruitment process, and the relevant compensation information for that location will be shared in writing, in line with local requirements.

Location: Canada; Calgary; Boston; Nashville; Richmond; Phoenix; Seattle; United States; Vancouver; North America | Utah; Ottawa; Toronto; Montreal Workplace: Remote Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans - by way of feedback. By labelling, ranking, auditing, and correcting text output, you will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech. Cohere seeks dynamic and dedicated Data Annotators with exceptional Modern Standard German Writing, Translation, and Data Manipulation skill. Please Note: This is a part-time independent contractor position available within Canada. We seek candidates who are able to commit to 16 hours per week minimum at a 30 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 months contract. Performance incentives included! As a Data Annotation Specialist, you will: - Label and Rank: Accurately label and rank machine learning data with advanced proficiency in German, ensuring data integrity and quality. - Audit and Correct: Scrutinize and rectify any inaccuracies in language data (may include text, image, JSON, TSV/CSV, Markdown), maintaining the highest standard of data accuracy. - Reading and Text-Based Tasks: Efficiently complete reading and text-based assignments, with high attention to detail. - Preference-Based Tasks: Evaluate and complete tasks, assessing which responses in German best conform to project guidelines. - Recommend Optimizations: Identify and suggest opportunities for improving data quality and model performance in German language tasks. - Provide Feedback: Collaborate and communicate effectively, providing feedback to cross-functional team members, particularly on German language-related matters. - Detail-Oriented Execution: Maintain meticulous attention to detail while performing repetitive and precise tasks, particularly when working with language data. You may be a good fit if you have: - Language Proficiency: Native or near-native proficiency in German; excellent command over English. - Expert reading and writing skills - which you are ready to prove on our written test. - Basic familiarity with JSON/TSV/CSV/Markdown data manipulation. - Strong attention to detail and commitment to accuracy - you’re the type to proofread all of your emails! - High tolerance for repetitive and monotonous work. - Ability to follow complex instructions, navigate ambiguity and work independently. - Superb sense of urgency and time management. - Curiosity about technology and a knack for tackling problems in creative ways. - A reliable laptop. The Candidate Journey: Initial Screening - Once you have submitted your application our Talent Team will review your resume and writing samples. Virtual Annotation Test - This assignment will test your written skill through various language-based tasks, such as a a writing sample, interacting with a chat bot, and more. Video Screen - If selected to move forward, you will have a short video call with a member of our Operations Team! Offer - Independent Contractor Agreement As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously, although we ask you to declare if any of these are with a direct competitor of Cohere and maintain IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by contractors invoicing for services provided pursuant to the terms of our agreement with the contractor. It is important to understand that as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and therefore compensation for services when Cohere does not require as many hours of services in a week. Prospective candidates, please be advised: this role involves working with human generated and model generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material. If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.