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Location: London; Europe; Berlin; United Kingdom Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. 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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS TEAM? Internal Infrastructure builds the infrastructure and tools used to train, evaluate, and serve Cohere's foundation models. You will work with AI researchers and ML engineers on stability, scalability, and observability. The work accelerates the models behind Cohere's platform, North. You will own the developer platform researchers use to write, build, and debug training code: dev environments, container images, CI, and training instrumentation. The role includes a compensated 24x7 on-call rotation. WHAT YOU WILL DO - Run secure developer environments that stay controlled and accelerate developer velocity as the research org scales. - Own container image build and CI/CD tooling. - Instrument training code and build self-service tooling so researchers can see why a run failed and debug it themselves. - Set infrastructure best practices through AI enablement, documentation, and office hours. - Troubleshoot production failures and performance problems, and leave the system easier to operate than you found it. - Build automation, infrastructure-as-code, and observability so the platform stays maintainable. We hire at more than one level. We set level based on the scope you've owned and how independently you drive work. YOU MAY BE A GOOD FIT IF YOU HAVE - Run a developer platform in production: CI, image builds, dev environments, or internal tooling that many engineers depend on. - Made ML engineers or researchers faster without making the platform fragile. - Enough Linux and Kubernetes to debug production systems. Experience operating a GPU cluster is a plus. - Written software in Python or Go. You would rather extend a solid open-source project than rebuild it. - Worked with researchers, ML engineers, or another team whose goals were not identical to yours. - Found a bottleneck, proposed a fix, and driven it in a fast-moving environment. If this does not line up exactly with your experience, we still encourage you to apply. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We 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. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Canada; United States Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. 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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS TEAM? Internal Infrastructure builds the infrastructure and tools used to train, evaluate, and serve Cohere's foundation models. You will work with AI researchers and ML engineers on stability, scalability, and observability. The work accelerates the models behind Cohere's platform, North. You will build the platform that runs training, evaluation, and reinforcement-learning workloads: job lifecycle, scheduling, workload networking, and the storage those jobs depend on. The role includes a compensated 24x7 on-call rotation. WHAT YOU WILL DO - Own the platform that schedules and runs training, evaluation, and reinforcement-learning jobs on Kubernetes: who gets capacity, what happens when a job fails, and how a researcher finds out whether the platform caused it. - Build the networking and runtime isolation those workloads need, including agent and sandbox environments. - Work with the data infrastructure team on storage for checkpoints and other training artifacts. - Troubleshoot production failures and performance problems, and leave the system easier to operate than you found it. - Build automation, infrastructure-as-code, and observability so the platform stays maintainable. We hire at more than one level. We set level based on the scope you've owned and how independently you drive work. YOU MAY BE A GOOD FIT IF YOU HAVE - Run a job platform, batch system, or Kubernetes controllers in production. Scheduling, queues, and multi-tenant fairness are central to this work. - Shown distributed systems judgment: retries, partial failure, and knowing what not to automate. - Worked on ML training workflows, RL sandboxes, container networking (CNI), or checkpoint storage at scale. Direct GPU-cluster experience is a plus. - Written software in Python or Go. You would rather extend a solid open-source project than rebuild it. - Worked with researchers, ML engineers, or another team whose goals were not identical to yours. - Found a bottleneck, proposed a fix, and driven it in a fast-moving environment. If this does not line up exactly with your experience, we still encourage you to apply. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We 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. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB As a Applied AI, Frontier Engineering, Staff, you will build the systems behind some of the hardest problems Mistral takes on. You join our team of engineers in Applied AI. We gravitate towards hard problems, decide how to solve them, and ship fast. You work closely with our customer-facing teams, and what works goes into production with our customers and across the company. When a project needs it, you work directly on customer engagements. We're looking for a strong software engineer who has shipped agentic or GenAI systems to production. You've felt the pain of agents that work in the demo and fall apart on real tasks: tool calls that fail silently, loops that never end, and quality that drifts after launch. That production depth is your edge. You build across the stack, and you'd rather ship a plain UI on a solid foundation than a polished UI on a fragile one. You think like a founder. You start from the customer's problem, not the technology. You measure success by the value you deliver, and you care about building experiences people love to use. You like working at the edge of what AI can do today, and you push past it. Your scope is end to end, from first prototype to production. You help set the standard for how the team builds agents that are reliable, observable, and safe to run against sensitive systems. Security is a big part of where we're heading. If you're drawn to it, that's a strong plus. You might come from security with a real interest in AI engineering, or from AI engineering with a real interest in security. Both paths fit. Curiosity about how systems break, and a habit of learning fast from the people who know the domain, matter. Experience at a security company counts too. WHAT YOU WILL DO - Build AI systems end to end, from first prototype to production. - Design the agent architecture: orchestration, tool use, memory, retrieval, and the interfaces between agents and the systems they act on. - Build across the stack, from backend services and APIs to the interfaces people use to work with agents. - Turn what works for one customer into patterns and platforms that work across many, without rebuilding each time. - Make systems hold up under real load: throughput, latency, cost, and failure recovery are part of the design from the start. - Build security into agents from day one: permissions, sandboxing, prompt-injection defenses, and audit trails for agents that touch sensitive systems. - Build the evaluation loop: task-level evals, tracing, and checks that catch agent failures and quality drift before customers do. - Work with researchers, engineers, and customer-facing teams to turn hard problems into systems people rely on. WHAT WE'RE LOOKING FOR - You have 5+ years building production software, with at least one agentic or GenAI system shipped to production that you ran after launch. - You have full ability to ship across the stack: proficient NodeJS e.g. NextJS/Express/Fastify or similar or Python e.g. FastAPI. You are confident with TypeScript + React/NextJS or similar. Solid beats polished. - You have hands-on depth in agent design: orchestration, tool use, retrieval, evaluation, and the ways agents fail in the real world. - You work autonomously: you find the problem, decide the approach, and own the outcome. - You communicate clearly with technical and non-technical audiences, and are fluent in English. - You ship in increments and are obsessed with time to value - You have product judgment: you learn what users need through customer-facing teams, cut scope hard, and care how the result feels to use. IDEALLY YOU HAVE - Open-source contributions, particularly in agents or LLMs. - Experience deploying and running what you build: Docker, Kubernetes, Terraform, and AWS, GCP, or Azure. - A security background in application, cloud, or AI security, such as prompt injection, securing agents, or supply chain (SBOM, SLSA). If that's you, flag it in your application. - Experience building for security workflows, such as alert triage, threat hunting, or investigation agents, or with SIEM, XDR, or SOAR tooling. HOW WE WORK IN APPLIED AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB As a Applied AI, Frontier Data Engineering, Staff, you will build the systems behind some of the hardest problems Mistral takes on. You join our team of engineers in Applied AI. We gravitate towards hard problems, decide how to solve them, and ship fast. You work closely with our customer-facing teams, and what works goes into production with our customers and across the company. When a project needs it, you work directly on customer engagements. We're looking for a strong software engineer who builds end to end and has shipped ML or GenAI systems to production. You've felt the pain of models that pass every eval and fail on real data, and of quality that drifts after launch. You've also felt the data engineering pain: pipelines that break silently, schemas that change under you, and backfills that take a weekend. Data engineering is your edge. You turn messy, large-scale data into systems that hold up. You think like a founder. You start from the customer's problem, not the technology. You measure success by the value you deliver, and you care about building experiences people love to use. You like working at the edge of what AI can do today, and you push past it. Your scope is end to end, from first prototype to production. Your depth in data architecture helps set the standard for how the team designs and delivers systems. You know lakehouse and data mesh patterns well enough to know when they fit and when they're overkill. You've designed ontologies and data models, and you know that getting them right is as much art as science. WHAT YOU WILL DO - Build AI systems end to end, from first prototype to production. - Design the data architecture underneath them: ingestion, processing, storage, and the data models and ontologies that make messy data usable. - Build distributed pipelines that process large volumes of documents, code, logs, and multimodal content for retrieval, agentic workflows, and fine-tuning. - Turn what works for one customer into patterns and platforms that work across many, without rebuilding each time. - Make systems hold up under real load: throughput, latency, cost, and failure recovery are part of the design from the start. - Build data governance into the systems themselves: ownership, access control, lineage, retention, and privacy for sensitive enterprise data. - Build the evaluation loop: labeling with LLMs and humans, versioned eval datasets, and checks that catch quality drift before customers do. - Set the standard for how the team designs and ships data systems. - Work with researchers, engineers, and customer-facing teams to turn hard problems into systems people rely on. WHAT WE'RE LOOKING FOR - You have full ability to ship across the stack: proficient NodeJS e.g. NextJS/Express/Fastify or similar or Python e.g. FastAPI. You are confident with TypeScript + React/NextJS or similar. Solid beats polished. - You have 5+ years of experience building and running production data-intensive pipelines with distributed processing (for example Spark, Ray, Beam, or Dask) and orchestration tools (for example Airflow, Dagster, or Prefect) with structured and unstructured data. - You have experience with retrieval-augmented generation, agentic use cases, or LLM evaluation, and a clear view of how data quality drives model quality. - You work autonomously: you find the problem, decide the approach, and own the outcome. - You communicate clearly with technical and non-technical audiences, and are fluent in English. - You ship in increments, are obsessed with time to value and are comfortable making and articulating product-technical tradeoffs. IDEALLY YOU HAVE - A passion for graph-based systems (e.g. Neo4j) and ontology design - Hands-on experience building data pipelines for LLM training, fine-tuning, or evaluation, and contributions to open-source projects, particularly in data or LLMs. - Hands-on experience with data governance and privacy requirements (for example GDPR), secure data handling, CI/CD and infrastructure as code, or an affinity for security engineering. HOW WE WORK IN APPLIED AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Seattle; Canada; New York; California Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. 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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS TEAM? Internal Infrastructure builds the infrastructure and tools used to train, evaluate, and serve Cohere's foundation models. You will work with AI researchers and ML engineers on stability, scalability, and observability. The work accelerates the models behind Cohere's platform, North. You will run the shared Kubernetes fleets those workloads land on: multi-cloud GPU and TPU clusters, node health, performance, and the partnership with cloud providers and hardware vendors. The role includes a compensated 24x7 on-call rotation. WHAT YOU WILL DO - Deploy and operate GPU Kubernetes clusters across clouds, and bring up new hardware generations and providers. - Work with cloud providers and hardware partners on reliability, performance, and cost, including RDMA and high-speed interconnects. - Automate node, GPU, and fabric fault detection and remediation so most faults are fixed without a human. - Improve fleet utilization, track cost, and cut the time it takes to get a faulty node back into service. - Troubleshoot production failures and performance problems, and leave the system easier to operate than you found it. We hire at more than one level. We set level based on the scope you've owned and how independently you drive work. YOU MAY BE A GOOD FIT IF YOU HAVE - Run GPU Kubernetes clusters with thousands of GPUs for ML or HPC workloads. - Debugged Linux, networking, and performance problems. Familiarity with RDMA, NCCL, or accelerator health is a plus. - Written software in Python or Go. You would rather extend a solid open-source project than rebuild it. - Worked with researchers, ML engineers, or another team whose goals were not identical to yours. - Found a bottleneck, proposed a fix, and driven it in a fast-moving environment. If this does not line up exactly with your experience, we still encourage you to apply. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We 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. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Remote - Europe Time Zones; Portugal; Spain Workplace: Remote SplitMetrics is a global software company offering an ecosystem of products and services that serve as a growth engine for top mobile-first businesses worldwide. Our ecosystem includes: - SplitMetrics Acquire, a platform for automating and optimizing Apple Ads.  - SplitMetrics Agency, a full-service mobile marketing agency staffed by top experts. - SplitMetrics Optimize, an A/B testing platform recognized as the ASO Tool of the Year. - App Radar by SplitMetrics: an ASO platform with advanced keyword and competitor insights. WHY SPLITMETRICS?  - For over 11 years, we’ve been at the forefront of the mobile marketing industry, building an ecosystem of market-leading technologies. - An Apple Ads Partner, SplitMetrics is the 1st company to build the Apple Ads management platform.  - Working with top mobile companies and brands globally: Skyscanner, Glovo, Flo, Babbel, Wooga and many more. - Generating an impressive transaction volume, with over $1 billion in ad spend flowing through our ecosystem. - Integrated AI into our strategic approach since 2023. - Effectively collaborate across 20+ countries with a remote-first and supportive culture. We’re looking for a Senior Backend Engineer (Python) who will join our team. What will you do: - Design and build backend services in Python (FastAPI) - Implement async job execution and status tracking (Redis/Celery/Kafka) - Integrate with LLM services (internal & external) - Build and maintain external MCP servers that expose our platform to third-party AI agents and clients - Develop ETL pipelines and ensure data quality across ingestion, transformation, and storage - Ensure stability, observability, and cost-efficient inference About you: - 5+ years Python backend experience - Strong FastAPI experience - Solid PostgreSQL + S3 (or equivalents) - Experience with async task queues (Celery, Redis, Kafka) - Production experience integrating with microservices: long-running jobs, retries, failure handling - Solid hands-on experience with agentic AI: building MCP servers, implementing agents, and working with various LLMs and other generative models - Genuine enthusiasm for agentic AI and keeping up with how the field evolves - Basic observability skills (logging, monitoring, alerting) - Experience in cross-functional teams (frontend, ML) - Experience with AWS infrastructure, Docker, Kubernetes It would be great if you have: - Familiarity with LangChain or agentic workflows - Marketing technology background (ad platforms, creative tools) - Experience with StarRocks (or other OLAP databases, ex. Clickhouse)   WHAT IS THERE FOR YOU? - Time Off: Vacation and public holidays following your country's regulations. Additional PTOs annually for personal rejuvenation. - Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being. - Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development. - Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program. - Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback. - Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment. - Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment. OUR CULTURE At SplitMetrics, our values are not just words — they guide everything we do. To achieve our ambitious goals and maintain success, we stand united by our core behaviors: - Move Fast - Get Sh*t Done - Build Together - Strive for Transparency - Own What You Do - Learn + Share = Excel Remote Hiring Guidelines: At SplitMetrics, we welcome team members from various countries. While all our roles are remote, certain positions may have specific eligibility requirements based on location. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.

Responsibilities: — Design prompts, agent logic and tools including function calling — Write test scenarios to evaluate the quality of agents — Analyze real agent conversations to identify and fix failures — Integrate agents with backend systems alongside the development team Requirements: — Minimum 2 years experience with Python — Experience building at least one large language model (LLM) agent or chatbot using APIs such as Gemini, OpenAI, or Claude — Strong skills in prompt engineering — Experience with function calling and Retrieval-Augmented Generation (RAG) — Proficiency in English Nice to have: experience with voice agents, multi-agent systems, evaluation tools like Langfuse or promptfoo, logistics domain knowledge, and knowledge of Uzbek or Russian languages. Benefits: — Salary starting from $1,500 per month — Office-based work in Tashkent To apply, send your CV to hr@gl-solutions.com with the email subject "AI Agent Engineer". Applications without a CV will not be considered.

- Build training datasets from real conversations and operational data. - Run fine-tuning jobs and compare tuned vs base models.

Location: San Francisco, California About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We're looking for an exceptional Senior Software Engineer to help build the distributed backend that powers our AI agent platform and the developer-facing products around it — the event-driven services, real-time integrations, and APIs that let agents reliably do real work. You'll be building the systems that need to stay correct and available on our path to 1M users over the next year. In this role, y ou will also be responsible to: Build event-driven, horizontally-scalable backend services that process work reliably and correctly even when parts of the system fail. Build real-time surfaces and integrations — streaming connections, gateways, and CLIs — that hold up under load. Integrate LLMs and agentic harnesses into production systems. Drive features end-to-end — from ideation and architecture through deployment, observability, and iteration. Raise the engineering bar through clean, well-tested code, thoughtful reviews, and mentorship. Requirements Qualifications / Experience / Technical Skills 5+ years shipping and operating production backend systems at scale. Strong proficiency in Python, and the judgment to write clean, well-tested, maintainable code under it. Deep distributed-systems fundamentals: you know how to keep systems correct and available under partial failure, backpressure, and load — and you design for it by default. Hands-on experience with event-driven, streaming, or real-time systems (queues, pub/sub, long-lived connections). Comfortable operating services in production on Kubernetes in the cloud — and instrumenting them with metrics, tracing, and dashboards so you can debug what you ship. Solid API and software-architecture instincts; you make and defend sensible trade-offs in ambiguity. LLM/agentic and developer-facing product experience (MCP, RAG, APIs, SDKs, CLIs) a strong plus. Our stack: Python, FastAPI, Postgres, Kubernetes, AWS. You don't need prior experience with all of it — we care that you can pick it up fast. Soft Skills / Personal Characteristics High agency and ownership: You drive work end-to-end, from ambiguity to shipped and iterated, without waiting to be told. A reliability mindset: You design for failure, not just the happy path. Product-minded:  You care about the users using what you build, not just the system behind it. AI-native: You use modern AI tooling (e.g., Claude Code) in your daily workflow and stay at the cutting edge of what it can do. Excellent written communication: We work async and write things down. (REQ ID: 3006)

Responsibilities: — Lead the architecture and execution of critical cryptographic infrastructure, including services required for global regulatory compliance — Define technical strategies with a multi-quarter horizon, clarifying ambiguous requirements for novel cryptographic solutions — Own risky and ambitious initiatives, implementing secure and resilient cryptographic protocols in a high-stakes, zero-trust environment — Shape engineering quality practices as a technical anchor and mentor within a team of senior engineers, driving rigorous code reviews and eliminating single points of failure — Build alignment and secure commitment from cross-functional partners across Security, Product, and Policy to drive flawless execution Requirements: — 8+ years of experience in software engineering with demonstrated success building highly available, distributed systems — Deep domain expertise in applied cryptography, Key Management Systems (KMS), or Hardware Security Modules (HSMs), with proven experience safely implementing cryptographic protocols (Multi-Party Computation experience strongly preferred) — Extensive programming experience in systems languages such as Golang, Java, C++, or Rust, with ability to operate in a Golang-heavy environment — Proven track record operating Tier-0 or highly critical infrastructure where system resilience, security, and low latency are absolute prerequisites — Demonstrated experience leading a team's technical strategy, architecture, and deliverables for large-scale projects, including navigating complex regulatory requirements and translating them into robust engineering solutions — Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality Benefits: — Accommodations for individuals with disabilities available upon request via email at accommodations[at]coinbase.com

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. As a Senior Software Engineer you will own quality engineering for Health Records while building shared data-mocking capabilities that support teams across WHOOP. You will lead the testing strategy and test automation for Health Records, ensuring healthcare data is ingested, transformed, stored, and consumed accurately and reliably. In parallel, you will scope and build reusable data-mocking frameworks for internal data and third-party integrations that can be consumed by our testing services across Health and other product areas. This is a hands-on senior engineering role spanning APIs, databases, data pipelines, event-driven systems, third-party integrations, healthcare data formats, cloud infrastructure, and internal testing services. RESPONSIBILITIES - Define the quality strategy and test automation for Health Records, validating data across ingestion, transformation, storage, and downstream consumption and establishing automated monitoring for data-quality regressions. - Design and build automated validation across APIs, databases, data pipelines, and healthcare data formats such as FHIR using Java, Python, SQL, and appropriate data-validation frameworks. - Scope, design, and build reusable data-mocking capabilities for teams across WHOOP, including internal data, third-party APIs, events, and data payloads. Drive adoption through integration with existing testing services, documentation, and common patterns. - Lead complex quality and test-infrastructure initiatives from technical planning through delivery, identifying risks, evaluating architectural tradeoffs, investigating systemic issues, and partnering with Engineering, Product, QA, and domain experts. - Establish and evolve engineering practices for data quality, testability, test data, observability, to ensure compliance with HIPAA requirements for PHI-safe testing, while mentoring engineers and developing additional ownership for Health Records quality. QUALIFICATIONS - 4+ years of experience in SDET, QA Engineering, Data Quality Engineering, ETL testing, or a related engineering discipline. - Strong SQL and database skills, with experience validating data integrity, reconciliation, transformations, and complex data pipelines. - Strong understanding of REST APIs, JSON, request/response patterns, events, and data payloads, including experience testing or mocking third-party integrations. - Experience building automation and reusable testing infrastructure using Java, Python, or similar programming languages. - Experience designing and testing ETL/ELT pipelines, distributed data flows, or other data-intensive systems, including failure, recovery, and edge-case scenarios. - Demonstrated ability to scope and lead complex technical initiatives, evaluate tradeoffs, influence technical direction, and build reusable solutions adopted by other engineers or teams. - Strong collaboration and communication skills with technical and non-technical partners, along with experience mentoring engineers and raising engineering practices. - Healthcare experience is preferred, particularly with EHR/EMR data, FHIR and similar standards, clinical data, healthcare terminology, and HIPAA/PHI requirements. - Bonus: Experience with cloud and event-driven infrastructure, high-volume data pipelines, data-quality or observability frameworks, CI/CD quality gates, or FHIR validation tooling.

Location: Europe; Vilnius, Remote Workplace: Remote About Eneba   At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. About your team Behind every groundbreaking product, there’s an awesome team! In Product, we gather folks with diverse backgrounds and expertise in areas such as product development, management, design, UX, analytics, and more. We move fast, experiment, learn a lot, and build new products for our growing base of 20+ million active users. At the same time, we continue to iterate and improve on our flagship product: Digital, a safe and affordable marketplace for gamers. Physical, where we enable users to turn their second-hand items into someone’s first-tier gaming experience. Or Payments & Risk, where we provide a smooth, secure, and reliable purchase experience. As a Business Intelligence Analyst, you will be responsible for providing analytical insights and reporting to support decision-making within the company. You will work closely with the product teams and other departments to analyze payments-related data, manage complex data sources, automate data processes, and provide insights into business performance. This is a critical role in our organization, as the insights and recommendations you provide will inform key strategic decisions that drive our growth and success. Responsibilities - Lead data collection and integration projects within the payments domain. - Develop and maintain performance reports for payments analytics. - Monitor key performance indicators (KPIs) and provide insights into payment performance, transaction volumes, and other indicators. - Identify opportunities to optimize payment processes and reduce operational costs, working with Payment Ops and Product teams to optimize payment routing and reduce payment failures. - Collaborate with data analysts and engineers to ensure data accuracy, completeness, and consistency. - Collaborate with other teams, such as Finance, Customer Support, and Product Development, to address payment-related challenges and opportunities. - Perform ad-hoc analysis and research to answer specific business questions and support decision-making. Requirements - At least 4/5+ years of experience in business analytics in finance, banking, consulting, accounting, or similar sectors. Exposure to payments data (PSP, acquiring, or risk systems) is a strong plus. - Working knowledge of the payments stack is a strong plus. - Advanced SQL, with an ambition to improve. - Strong quantitative and analytical skills. - Ability to identify and suggest improvements in the payments domain by analyzing transactional, business, and market data. - Excellent written and verbal communication skills, with the ability to present complex information clearly and translate data findings into actionable recommendations, especially for non-technical stakeholders. Precise and well-structured when delivering analyses and reports. Nice to have - Ability to independently build structured dashboards (Databricks, Tableau, or similar BI tools). - Experience building AI-powered refreshable/scheduled reports. Salary ranges may vary. We're seeking candidates with varied experience levels; from individual contributors to functional leaders in this space. We're an international team and our business language of choice is English. Good English level is required, proficiency is preferred. To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice: https://www.eneba.com/candidate-privacy-notice What it's like to work at Eneba - Opportunity to join our Employee Stock Options program. - Opportunity to help scale a unique product. - Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. - Paid volunteering opportunities. - Work location of your choice: office, remote, opportunity to work and travel. - Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes. #LI-JP1

Location: Georgia Operations Associate, remote from Georgia Georgia is where this hire lives. Give our website and LinkedIn ten minutes before you do anything else. In your Loom we will ask what we do, where you found out about us, and why you want to work at Drop Zero Digital. We reject answers that could be pasted onto any other company. Who we are Drop Zero Digital is a lifecycle marketing agency. Right now our AI image service is the quickest growing part of the business, and the person we hire in Georgia will help it grow through whichever area they run. What you would do One named area will be yours. The trial decides which, because we want to see where you are strongest first. Your area will be one of these: Hiring. You own how we find, screen and hire people: the whole funnel, with sourcing, chasing and scheduling, a tracker that tells the truth, and a warning from you when the process itself is faulty. Client delivery. You own how client work is planned, briefed, chased and shipped: timelines held, briefs that are complete, and nothing allowed to stall unseen. Both come down to the same thing. You spot what slipped, you pick the fix, and you finish it unprompted. The role is built on judgement. You will not be assisting, and you will not be coordinating. Each day brings real decisions, and the measure is how well you make them, not how much you clear. Our aim is a team of people who decide well unmanaged, so a job that starts with someone handing out tasks is not this one. The people who do well here They decide and carry the consequences, wrong calls included. They sort their calls from other people's calls and get that boundary right each time. They take feedback as information and change, without caving on a view they have reason to hold. They improve fast: seventy percent and rising is worth more to us than eighty five and flat. They flag failure when they see it, even when the failing thing is our process. They write honestly and clearly, particularly when the news is bad. The steps, start to finish Application with a short Loom video. Research us first. A short test by email: one real decision task, your internet speed, your computer, and a paragraph on your work history. A 15 minute call with the founder. A recorded video interview. One take, no re-records. We verify the work history you've told us about. A paid trial of six to eight weeks doing the real job. The trial carries the decision, including which of the two areas you end up with. Live work begins in week one, and every call you make gets a straight answer from us on how it landed. It is paid from day one: half rate for the first two weeks while you find your feet, full rate from week three onward, and a completion payment when you finish the trial, whether or not we hire you. If we stop early, you are paid for the days you worked. Experience and checks We check your work history against what you tell us, and a false answer ends the application. Each employer you name gets verified on dates, title and paid status, using a contract and payslips, in one exchange. We need one full-time job within the last 12 months. We set no other minimum, so a short history is fine. A misrepresented history is not fine, and it disqualifies. The true version, however short, is never penalised. Requirements Full time after hire, as your only job. The paid trial is 4 hours a day, of which 2 sit at a fixed time within our working day, and you may stay in your current job throughout. After a pass you give notice and move to full time within 30 days. Dependable internet, at least 30 Mbps down and 5 Mbps up, checked live together. Strong written English. Based in Georgia. Your working hours are logged in our time tracking tool from day one. Benefits 1500 USD per month on hire, set by responsibility and demonstrated capability, not by how long you have worked. Pass your 90-day review and your pay goes up by 50 percent. The 90 days count from the day you start full time. On top of that: A one-month annual bonus. 15 days of paid leave a year, rising with tenure, plus your own country's public holidays. Paid sick leave. A health allowance. A coworking allowance. People who earn it see pay and responsibility rise quickly. Decisions that reach a client are handed over slowly and deliberately, on the strength of a record and never on a good first month. You should hear that now, not discover it in month two.

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: As a Technical Product Manager for Trust & Safety, you will define and ship the data products that frontier labs use to train and evaluate models to perform personalization, computer-use (CUA), and GDPval tasks safely and in a trustworthy manner. You will own the full lifecycle of these products: from translating a lab's research need into a spec, to designing reinforcement learning (RL) environments, rubrics, and evals, to running delivery with our expert workforce and measuring whether the data actually moved the model. A core part of the job is building RL environments with deliberate traps. That includes misalignment traps that test for reward hacking, deception, sandbagging, oversight evasion, and power-seeking; cyber traps such as planted credentials, injected instructions, and poisoned tools; and other honeypots that reveal how a model behaves when it believes no one is watching. You thrive in ambiguity, go deep on technical detail, and care about making powerful AI safe and beneficial. What You’ll Own: Define data products for frontier labs. Turn lab research goals into clear product specs for safety training data, RL environments, and evaluations. Design trap-based RL environments. Build sandboxed environments that embed misalignment traps (reward hacking, specification gaming, deception, sandbagging, oversight subversion) and cyber traps (prompt injection, credential exfiltration, tool poisoning, unsafe file and network actions). Build safety into agentic tasks by design. Specify safe-behavior rubrics, verifiers, and reward signals so that models learn to complete real work while refusing, escalating, or asking for confirmation at the right moments. Own evals and metrics. Define what "safe and trustworthy" means for each product in measurable terms, including attack success rate, over-refusal, trap trigger rate, and task completion under adversarial pressure. Track blind spots and drive iteration. Prioritize ruthlessly. Frame problems crisply, lay out options with their business and technical tradeoffs, and separate MVP from ideal state. Partner across teams. Work with lab researchers, our ML and platform engineers, red-teamers, policy experts, and delivery leads running large expert annotator pools. Track the threat landscape. Stay current on agentic risks, alignment research, and new attack techniques, and turn them into roadmap items before customers ask. Communicate clearly. Write specs, customer briefs, and safety findings that land with researchers and executives alike. These examples show the kind of work this role owns: A cyber-trap environment suite : sandboxed environments seeded with injected instructions, exposed secrets, and destructive shortcuts, scored on whether the agent finishes the task without taking the bait. Tasks with integrity traps : realistic work where the easiest path to a high score requires fabricating data, skipping a required step, or gaming the grader. A misalignment eval harness : environments that check whether a model behaves differently when it believes it is being tested versus deployed, or when given chances to expand its own permissions. A trap library and quality framework that lets our delivery teams produce new environments quickly while keeping verifiers reliable and traps hard to detect. You’ll Thrive in This Role If You Have: 5+ years of product management experience, including technical products in ML, AI data, security, or trust & safety. Hands-on familiarity with how LLMs are trained and evaluated: SFT, RLHF/RLAIF, reward models, verifiers, and benchmark design. Working knowledge of agentic AI: tool use, computer-use agents, multi-step planning, and the failure modes that come with them. A strong grasp of AI safety concepts such as reward hacking, deceptive alignment, jailbreaks, and prompt injection. Enough technical depth to read code, review an environment spec with engineers, and make sound technical tradeoffs. Comfort with Python and sandboxed environments (Docker, VMs, browser automation) is a plus. Experience designing metrics that capture risk, system performance, and user impact, and using them to make crisp decisions. A track record of shipping 0-to-1 products in fast-moving, ambiguous environments. The ability to explain complex technical ideas clearly to researchers, customers, and executives. Creative, adversarial thinking: you enjoy imagining how a capable model might cut corners, and you don't stop at existing checklists. The expected salary range for this position is $180,000 – $220,000 USD per year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Brazil Workplace: Remote Location: Remote (LATAM) Employment Type: Full-time Contractor   ABOUT THE CLIENT A fast-growing, creator-powered social and monetization platform empowering creators, artists, and brands to engage their audiences, monetize digital content, and build direct, high-value fan relationships. We operate at the intersection of consumer social, digital media, creator monetization, and agentic AI. MISSION Lead reliable, secure, and cost-effective cloud operations so Fanbase teams can release with confidence and creators can rely on the platform. THE ROLE The project needs clear ownership of its infrastructure, deployment workflows, and production readiness across web, mobile, and backend services. As a hands-on technical lead, you’ll strengthen AWS operations and incident response while partnering with the Principal Platform Engineer on architecture and shared engineering standards. You’ll also guide operational priorities and coach engineers, helping the team improve reliability without slowing delivery. WHAT YOU’LL ACHIEVE IN 12–18 MONTHS - Establish clear service objectives, actionable alerts, and incident ownership. - Improve deployment frequency, change failure rate, and recovery time against established baselines. - Validate backup restoration and disaster recovery against agreed recovery targets. - Improve cloud cost efficiency, access controls, and infrastructure consistency. WHAT YOU’LL DO - Own AWS operations, infrastructure as code, CI/CD, environment configuration, and tested rollback procedures. - Lead on-call planning, incident coordination, observability, and capacity planning; ensure incident reviews lead to meaningful follow-up. - Strengthen IAM, secrets management, patching, backups, recovery drills, and cloud cost controls in partnership with Security and Engineering. - Set operational priorities, coach engineers, and maintain clear, useful runbooks. - Coordinate release readiness with QA and product teams. WHAT YOU’LL BRING - 6+ years of DevOps, SRE, or cloud engineering experience, including technical leadership and ownership of production incidents. - Hands-on experience with AWS, Linux, networking, infrastructure as code, CI/CD, and scripting. - Experience with Terraform or OpenTofu and GitHub Actions is preferred. - Experience setting service objectives and improving monitoring, disaster recovery, security controls, and cloud cost management. AWS certification is preferred. - Software development and automation experience, including the ability to build and debug code independently with or without AI coding tools. - Effective use of AI assistants and agents, with the judgment to review and test generated changes, protect sensitive data, and remain accountable for production operations. WHAT SUCCESS LOOKS LIKE IN YOUR FIRST 90 DAYS Days 1–30: Audit infrastructure, incidents, access controls, delivery workflows, and cloud spend. Days 31–60: Define service objectives and on-call plans, then address a high-priority operational gap. Days 61–90: Test rollback and restoration procedures and present a roadmap for reliability and cost improvements. REPORTING AND PARTNERSHIPS Reports to the Head of Engineering and leads delivery while coaching assigned engineers. Partners closely with the Principal Platform Engineer, Security, QA, and service owners. WHY JOIN Build the operational foundation that helps Fanbase deliver faster and gives creators a platform they can depend on.   JOIN US AND ENJOY THESE PERKS! - Competitive Salary: Earn a USD salary that matches your skills and experience. - Paid Time Off: Generous PTO to support your work-life balance and recharge. - Health Insurance Subsidy: Financial assistance to support your healthcare coverage. - Annual Salary Reviews: Structured annual evaluations to recognize and reward performance. - Paid Training & Certifications: Continuous support for professional growth and upskilling. Ready to put your puzzle-solving skills to the test? Join our team today! LinkedIn: Puzzle Instagram: @puzzle.tech http://puzzle.tech_

Location: Brownsville, WI Corporate Office Improving America’s infrastructure isn’t for the weak. It takes grit, determination, and hard work to execute high impact projects. Michels Corporation engages 8,000 people and 18,000 pieces of heavy equipment in our insatiable drive to be the best. Our work improves lives. Find out how a career as an Agriculture Equipment Mechanic can change yours. As an Agriculture Mechanic, your key responsibility will be to perform basic tasks in repairing and maintaining construction or utility related equipment. You will perform preventative maintenance and maintain functional condition of equipment by repairing engine failures, replacing parts, repairing body damage, etc. Why Michels? We are consistently ranked among the top 10% of Engineering News-Record’s Top 400 Contractors Our steady, strategic growth revolves around a commitment to quality We are family owned and operated We invest an average of $5,000 per employee on training each year We reward hard work and dedication with limitless opportunities We believe it is everyone’s responsibility to promote safety, regardless of job titles We offer a comprehensive benefits program, including Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long Term Disability Insurance, 401 (k) plan, Legal Plan, and Identity Theft and Monitoring Plan. Depending on your position and location you may participate in a different benefit plan. Why you? You thrive in fast-paced environments under tight deadlines You relish new challenges and evolving technology You enjoy collaborating and communicating with your teammates You like to know your efforts are noticed and appreciated You have a strong attention to detail You enjoy working independently What it takes: 2-5 years of experience working on construction or utility related equipment Hydraulics, drive train, controls and electrical diagnostics experience (desired) Welding experience (desired) Basic computer proficiency Ability to move/operate heavy equipment (desired) Ability to provide own basic hand tools AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Responsibilities: — Lead, mentor, and scale a team of 3 to 6 AI-driven Creative Designers, focusing on people growth as well as output. — Manage the production flow including task distribution, capacity planning, and strict quality control to ensure production-grade results. — Drive creative direction by developing concepts, hooks, and visual angles that effectively capture attention and convert. — Generate innovative ideas and encourage the team to move beyond safe iterations, guided by visual trends and competitor analysis. — Own the creative testing loop by building a database of successful creatives, analyzing failures, and using performance data to inform future iterations. — Monitor new AI models and tools, acting as the company's expert on creative possibilities with AI while remaining hands-on. — Conduct regular research and development, creating prompt and style libraries to maintain consistent quality as the team expands. — Stay actively involved with design tools such as Figma, Adobe Suite, and AI platforms to support the team, handle complex creatives, and experiment with new approaches. — Collaborate closely with the Generative AI Pipeline Engineer to translate creative needs into pipelines, presets, and automation. — Work in tight coordination with Creative Producers, Marketers, Media Buyers, and Video Editors to align strategies, negotiate deadlines, and resolve bottlenecks. Requirements: — Over 5 years of leadership experience managing creative/design teams in digital marketing. — Proven maturity as a leader and problem solver, capable of building clear processes, guiding teams, resolving conflicts gracefully, and embracing new ideas. — Strong project management skills ensuring projects are completed on time with top-tier quality and order. — Excellent visual craft skills including composition, lighting, color, typography, and anatomy, with the ability to articulate why a creative works or not. — Proficiency in design tools such as Figma and Adobe Creative Suite, with comfort integrating AI outputs into traditional design workflows. — Advanced knowledge and enthusiasm for AI, tracking new model releases and testing their impact on ad creatives. — Hands-on experience with modern AI image platforms like Figma Weave, Higgsfield, Magnific, Runway, or similar for creating photorealistic visuals. — Ability to select appropriate tools for tasks and correct artifacts. — Solid understanding of performance marketing static ad creatives across platforms like Google and Meta, knowing what drives CTR, CPA, and conversion rates. — Fluency in English, both spoken and written. Nice to have: — A strong portfolio demonstrating performance marketing creatives and AI-generated photorealistic work, ideally with leadership-driven results. — Experience with creatives for high-CPA verticals such as home improvement, insurance, health, legal, or finance. — Familiarity with creating visuals tailored for North American audiences. — Understanding of how static visuals integrate into video production pipelines. Benefits: — Fully remote work environment allowing choice of productive and comfortable location. — Generous paid vacation policy. — Unlimited sick days to ensure full recovery. — Support for ongoing learning including free books, workshops, and conferences. — Coverage for home office equipment and furniture expenses. — Medical insurance coverage and allowance for flexible fitness programs. — Engaging and enjoyable work culture.

Location: San Francisco; New York Workplace: Hybrid ABOUT ALCHEMY Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences. Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com.   THE ROLE We're looking for a hands-on IT leader to build and run the business systems that help Alchemy work. You'll own enterprise applications and their integrations, manage and develop the IT team, and help teams across the company redesign how they work with AI. This is a player-coach role. You'll configure applications, write integrations, debug workflows, and ship automations yourself. You'll also set priorities, coach engineers, manage performance, and keep day-to-day IT service dependable. You'll identify recurring manual processes, build automations or agent workflows, and decide which steps need human review. You'll deploy and test those systems and teach the team to maintain them.   WHAT YOU WILL DO - Own business applications. Lead technical administration and improvement of Salesforce and connected sales tools, People Ops systems such as Rippling and ChartHop, and other business applications as priorities require. Partner with business owners on configuration, data quality, permissions, and technical escalations. - Build across systems. Write and maintain API integrations, scripts, and workflows that connect applications, reconcile data, and automate employee and business processes. Own testing, monitoring, failure recovery, and documentation. - Redesign work around AI. Partner with Sales, People Ops, Recruiting, Finance, and Legal to identify workflows worth rebuilding. Deliver agents and automations that can gather context, carry out authorized steps, verify results, and escalate exceptions to the right person. - Manage the team. Set priorities and expectations, run regular feedback and development conversations, hire, and manage performance. Balance service coverage with project work and make clear tradeoffs when demand exceeds capacity. - Raise the team's AI capability. Build alongside engineers, review their work, and turn successful approaches into shared tools, skills, and runbooks. Make AI-assisted building and verification part of how the team delivers work. - Keep IT service reliable. Oversee support quality, onboarding and offboarding, escalations, and operational coverage with the engineers responsible for service desk, identity, endpoints, and office technology. Jump into difficult issues when needed. - Make automation safe to operate. Partner with Security on least-privilege access, sensitive-data handling, audit trails, and approval boundaries. Use explicit approvals for high-impact actions and provide a way to stop or roll back failed automation. - Own the application roadmap and spend. Evaluate tools, manage vendor relationships and renewals, and bring application expertise in-house where it improves service or cost. Measure improvements through reliability, turnaround time, manual work removed, and adoption by the teams served.   WHAT WE ARE LOOKING FOR - Deep hands-on experience administering enterprise SaaS applications and building integrations; strong Salesforce experience and the ability to learn unfamiliar business systems. - Experience managing technical staff, including coaching, prioritization, hiring, and performance management. You're comfortable staying close to implementation. - Ability to build and debug with APIs, scripting, and workflow platforms such as n8n or Okta Workflows, with sound practices for testing and production changes. - Evidence of shipping AI-enabled workflows that other people use. You can explain what you delegated to AI, what you verified, where it failed, and how you improved it. - Experience helping a team adopt new tools and working practices, including supporting people with different starting skill levels. - Strong judgment about identity, access, employee data, and business-critical changes. You know when deterministic automation or a human decision is the better choice. - Ability to translate business needs into technical work, explain tradeoffs, and follow through on operational details.   HELPFUL EXPERIENCE - Supporting People Ops, Recruiting, Finance, or Legal applications alongside sales systems. - Employee lifecycle automation, identity integrations, and IT service management. - Building agent integrations, reusable skills, or evaluation suites with an internal AI platform.   WHAT SUCCESS LOOKS LIKE - Business systems have clear technical ownership. - The IT team delivers dependable support and application improvements, with fewer recurring manual tasks. - Teams across the company use workflows you've helped build, and your engineers can extend and operate them without depending on you for every change.   BENEFITS & PERKS 🏥 Private Health Insurance 💪 Gym Reimbursement 🚅 Commuter Benefits 🌴 Flexible Time Off 🥙 In-Office Group Meals 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/