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Location: United Kingdom; Canada; United States About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a skilled AI Engineer with at least 2 years of hands-on experience in developing, deploying, and optimizing AI and machine learning solutions. You will work closely with product, engineering, and data teams to design intelligent systems, integrate AI models into production environments, and contribute to cutting-edge AI initiatives. This is an exciting opportunity for someone passionate about machine learning, generative AI, LLMs, automation, and scalable AI infrastructure in a fully remote environment. Key Responsibilities Design, build, and deploy AI/ML models for real-world applications. Develop and optimize AI-powered features using modern frameworks and APIs. Work with Large Language Models (LLMs) such as GPT, Claude, or open-source alternatives. Build AI pipelines for data processing, training, inference, and monitoring. Collaborate with cross-functional teams to translate business needs into AI solutions. Integrate AI services into web applications, SaaS platforms, and internal tools. Fine-tune and evaluate machine learning models for performance and scalability. Maintain documentation and ensure AI systems follow security and compliance best practices. Stay updated with the latest advancements in AI, machine learning, and automation technologies. Requirements 2+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role. Strong experience with Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, or LangChain. Experience working with LLMs, generative AI, prompt engineering, or AI agents . Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG). Experience deploying models using cloud platforms like AWS, Azure, or Google Cloud. Understanding of APIs, microservices, and backend development. Experience with Docker, Git, and CI/CD workflows. Strong analytical and problem-solving skills. Excellent communication skills and ability to work remotely with global teams. Bachelor’s degree in Computer Science, AI, Data Science, or related field preferred. Experience with AI automation tools and agent frameworks. Knowledge of MLOps and model monitoring tools. Familiarity with NLP, computer vision, or recommendation systems. Experience building AI SaaS products or chatbots. Exposure to FastAPI, Node.js, or React-based applications. Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Location: Montreal; Canada; Serbia Workplace: remote ABOUT YOU We are looking for a Tech Lead to drive delivery and cross-team coordination for the Shop Builder DevX and AI team. You are the bridge between architecture and execution: you take the technical direction set by the Principal Engineer and turn it into a running, shipping team. You lead a squad of three engineers building the developer surface that Shop Builder is missing — MCP server, CLI, SDK, documentation pipeline, local dev environment, deploy and versioning path. You set the delivery cadence, remove blockers, coordinate inbound dependencies from payments, auth, live ops, and catalog, and own the quality of what ships. This is a hands-on role. You write production code, lead code reviews, and drive technical decisions within your domain. You also have the seniority and judgment to coordinate across teams and represent the team's work to engineering leadership. ABOUT US Xsolla is a global payments and commerce platform for the games industry, used by thousands of publishers to monetize, distribute, and operate their titles worldwide. Shop Builder is Xsolla's storefront platform — used by publishers and game developers to launch and operate game shops, from straightforward catalog and webshops to fully custom storefronts built headless on our backend. For more information, visit xsolla.com. The DevX and AI team owns the public APIs, documentation, and AI features that give developers — and AI agents — the full surface they need to customize and extend Shop Builder. This is a net-new team of seven, standing up to fill a real gap: no dedicated team has owned the developer surface end to end. That changes now. Responsibilities Drive the delivery of the Shop Builder developer surface: MCP server, CLI and local dev environment, public SDK, documentation pipeline, sandbox and preview environments, deploy and versioning path. Lead and mentor a team of three engineers — setting technical direction within the squad, running code reviews, and ensuring consistent engineering quality. Own cross-team coordination: identify and pull inbound API capabilities from payments, auth, live ops, and catalog teams; unblock dependencies; manage integration timelines. Actively contribute to implementation — you ship production code alongside the team, particularly on the most critical and complex components. Partner with the Principal Engineer to translate architecture decisions into sprint-level execution plans and realistic timelines. Collaborate with the PO on roadmap sequencing, scope decisions, and trade-offs between speed and correctness. Own the team's delivery rhythm: sprint planning, technical grooming, retrospectives, and status visibility to engineering and business leadership. Define and maintain the team's engineering standards: testing strategy, observability, deployment practices, and documentation quality. Act as the primary technical contact for integrations with headless partners and the MIT professional services team during early partner onboarding. Contribute to hiring by conducting technical interviews and defining what great looks like for the engineers joining this team. Qualifications & Skills 6+ years of professional software engineering experience, with at least 2 years in a tech lead, staff, or senior lead role driving delivery across a team. Strong proficiency in JavaScript/TypeScript and Node.js, with experience shipping production APIs, CLIs, or SDKs to external developers. Hands-on experience building CLI tools and developer-facing workflows: command design, config file formats, local dev loops, deploy commands, and error messages that actually help. Solid understanding of REST API design principles, SDK ergonomics, and what makes a developer experience work — you have strong opinions and can back them up. Practical familiarity with the Model Context Protocol (MCP) or agentic tool-use patterns: you understand how AI agents consume tool interfaces and what makes a tool reliable for an LLM. Experience coordinating across multiple engineering teams to ship features that depend on inbound capabilities you don't own. Proven ability to lead engineers: clear technical direction, raising the quality bar through reviews, developing other engineers' skills. Cloud-native experience: CI/CD pipelines, containerization (Docker/Kubernetes), and deployment automation on AWS or GCP. Strong communication skills — you translate technical complexity into clear status for leadership, and technical requirements into actionable work for your team. Nice to Have Experience in game tech, digital commerce, storefront platforms, or headless architecture. Background building React component libraries, design systems, or frontend platforms consumed by external developers. Experience building sandboxed execution environments for third-party code (custom blocks, extensions, plugins). Familiarity with LLM-generated code evaluation: assessing whether an AI-produced block, component, or layout is correct and safe to ship. Prior experience standing up a greenfield team from scratch and knowing what that demands. Exposure to documentation-as-code workflows and toolchains that publish to multiple surfaces from a single source of truth. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.   We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For this role, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/managing budgets/accessing funds Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: Montreal; Canada; Serbia Workplace: remote ABOUT YOU We are looking for a Principal Engineer to take architectural ownership of the agent-readable Shop Builder platform. This is the most senior individual contributor role on the DevX and AI team, and the decisions you make here — which surfaces to expose, which formats to support, which standards to set — will bind the platform for years. You are not a manager, but your influence is org-wide. You define how developers and AI agents interact with Shop Builder's foundational capabilities: UI as Data, custom blocks, themes, data binding, catalog, payments. You are the technical authority on what the platform exposes and how, and you are deeply hands-on with the hardest parts of that work.   ABOUT US Xsolla is a global payments and commerce platform for the games industry, used by thousands of publishers to monetize, distribute, and operate their titles worldwide. Shop Builder is Xsolla's storefront platform — used by publishers and game developers to launch and operate game shops, from straightforward catalog and webshops to fully custom storefronts built headless on our backend. For more information, visit xsolla.com. The DevX and AI team owns the public APIs, documentation, and AI features that give developers — and AI agents — the full surface they need to customize and extend Shop Builder. This is a net-new team of seven, standing up to fill a real gap: no dedicated team has owned the developer surface end to end. That changes now. Responsibilities Own the technical architecture of the agent-readable Shop Builder platform: which APIs to expose, in what shape, through which surfaces (REST, SDK, MCP, CLI). Define the interface contracts that LLMs and developers interact with — React component APIs, custom block schemas, theme tokens, data binding formats — and maintain them with the rigor of a public API. Design and lead delivery of the MCP server that allows AI agents (Claude Code, Cursor, etc.) to build, deploy, and operate Shop Builder storefronts end-to-end without the editor in the loop. Architect the CLI and local development environment: how developers scaffold projects, iterate locally, preview changes, and push to production. Define the deploy, versioning, and rollback model for developer-published content — custom blocks, themes, and layouts. Design the sandbox and preview environment system so agents and developers can iterate without touching live partner sites. Set the documentation standard: written for LLMs and humans as first-class users, maintained from single canonical sources and published to every surface (CLI help, dev docs, MCP tool descriptions, AI context). Lead the eval harness architecture: how the team measures whether an LLM-generated block, theme, or layout is correct before it ships. Collaborate with Principal/Staff Engineers across payments, auth, live ops, and catalog to pull inbound capabilities into coherent developer-facing surfaces. Serve as the technical bar-raiser for the team: define code standards, review critical implementation decisions, and mentor the Tech Lead and engineers. Contribute to hiring and define the technical culture of the team from day one. Qualifications & Skills 10+ years of professional engineering experience, with a demonstrated track record as a Staff or Principal engineer who has shaped platforms, APIs, or developer tooling used by external builders. Deep expertise in designing and shipping public APIs and SDKs, including versioning strategy, backwards compatibility, and developer ergonomics — strong opinions about what makes an API delightful vs. painful. Expert-level proficiency in JavaScript/TypeScript and React — the primary interface language for LLMs and developers on this platform. Hands-on experience building CLI tooling and local developer workflows (scaffolding, hot reload, file-based config, deploy commands). Solid understanding of the Model Context Protocol (MCP) or equivalent agentic tool-use interfaces, and practical experience building tools that AI agents can reliably invoke. Experience building systems at global scale on cloud infrastructure (AWS or GCP), with deep knowledge of containerization, CI/CD, and infrastructure-as-code. Ability to write and reason about LLM-friendly documentation and API surfaces: you understand that token-efficiency, predictability, and schema clarity matter as much as human readability. Exceptional technical communication: clear RFCs and ADRs, productive architecture reviews, and the ability to explain second-order consequences to engineering and business leadership. Comfort operating in a greenfield context — you define the structure rather than inherit it. Nice to Have Prior experience in game tech, digital commerce, or storefront platforms — understanding the publisher/developer relationship and headless vs. hosted deployment patterns. Experience building platforms where AI agents are a first-class user: MCP servers, LLM tool registries, agent eval pipelines. Familiarity with Figma's plugin/component API, design token standards, and design-to-code pipelines. Contributions to open-source developer tooling, SDK frameworks, or API standards. Background in block or extension marketplace design: sandboxing third-party code, schema validation, publisher ecosystems. Published technical writing, conference talks, or influential community presence in developer tooling or AI-native development. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.   We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For this role, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/managing budgets/accessing funds Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: New York; San Francisco; Canada; United States; Toronto; Montreal 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 role? The Data Infrastructure team at Cohere is responsible for the storage and data movement layer underlying every model training run. We're building the unified storage layer that feeds our training workloads. It needs to serve petabytes of training data and model checkpoints fast enough to keep thousands of GPUs busy across several training clusters. In this role, you’d have an opportunity to build this system from the ground up. You’d be a key contributor, working on a problem few teams have had to solve at this scale. In this role, you will: - Design, build, and operate the distributed storage system that feeds model training and evaluation. - Run this system multiple on Kubernetes clusters at petabyte scale. - Work with researchers and training-infra teams on how jobs actually read and write data, and turn that into throughput, latency, and durability requirements - Work through the networking, I/O, and consistency problems of moving large datasets and checkpoints across regions and backends, with GPU idle time and time-to-insight as the measures of success You may be a good fit if you have: - Strong storage fundamentals, including replication, consistency, caching, and data lifecycle management. - Strong coding ability. We work in Python and Go; experience in either is enough, but you should be willing to pick up the other - Experience running stateful systems on Kubernetes, including Persistent Volumes, CSI drivers, and StatefulSets. - Hands-on experience with cloud object storage such as S3 as well as POSIX-style filesystems. It’s a bonus if you have: - Experience with parallel or HPC filesystems such as Weka, VAST, or Lustre. - Familiarity with the data-loading and checkpointing patterns used in large-scale model training. - An interest in how large models are trained and evaluated, including the trajectory and eval data those runs generate, and a desire to understand the workloads the platform is serving. 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: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Algorithmic Trading Team is looking for a Site Reliability Engineer for our Chicago office.  The SRE team is critical to the success of our trading – ensuring that our production trading systems, test environment and research pipeline are working flawlessly. We’re looking for a Site Reliability Engineer who thrives at the intersection of software, trading and infrastructure – someone who creates observability that surfaces issues before they ever cause a problem, owns the response when things go wrong, and relentlessly drives automation that eliminates friction and keeps our team focused on our goals. What you will do: Work with software engineers and traders to provide 24/7 first line support of our trading, testing, and research environment. Proactively monitor and identify issues before they impact trading.  Define and automate observability around application SLAs and build anomaly detectors that surface problems early. Oversee and maintain our test trading environment.  Keep the environment running smoothly and pursue automation of routine interventions required to maintain a stable test platform for development. Standardize CI/CD and operational processes across development teams to reduce friction and speed up delivery.  Improve deployment scripts and release verification processes. Perform stress tests and verify SLAs under load. Work with application and devops engineers to design and improve support for this type of testing. Work closely with traders, engineers, system administrators, data centers, networking, and other shared services. What you will need: Bachelor's degree in computer science or equivalent practical background. 3-10+ years of hands-on software development or SRE Experience Demonstrated experience with observability tools – logging, metrics and tracing Hands on development experience in scripting languages like Bash, Python, or Ruby An automation-first approach to problem solving – you understand that manual processes don’t scale, and your instinct is to eliminate them before they become a bottleneck. Demonstrated knowledge of network communications including comprehensive understanding of the Linux TCP-IP stack, use of multicast networking, and network protocol interactions. Solid diagnostic capabilities from the application layer through the network and low-level hardware. Experience with network capture and time synchronization. High level of ownership and accountability, reliability, and strong follow through. Positive AI mentality and experience with AI agents to accelerate SRE tasks. The annual base salary range for this position is $130,000 to $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-GV1

Location: Brownsville, WI Corporate Office  ; Milwaukee, WI  ; Neenah, WI 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 our lives. Find out how a career as a Global Automation Analyst can change yours. A Global Automation Analyst is responsible for designing, developing, and maintaining automation solutions that optimize processes, minimize manual work, and enhance operational efficiency across global IT and business functions. This role collaborates closely with stakeholders to identify automation opportunities, convert business requirements into technical solutions, and oversee governance and maintenance of automation platforms such as Power Platform, K2, DocuSign. 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 positions 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 possess strong interpersonal skills and the ability to interact with all levels of management You look forward to high-level responsibility opportunities Responsibilities: Design, build, and maintain automation workflows, RPA bots, and integrations across multiple business systems Partner with business and IT teams to identify process improvement and automation opportunities Analyze existing processes and document requirements, logic flows, and exception handling Develop automations using low-code and RPA platforms Test, deploy, and maintain automation solutions ensuring scalability and compliance with security standards Monitor production automations for reliability, performance, and ROI Maintain documentation and contribute to automation knowledge base Support continuous improvement through innovation and adoption of emerging automation technologies Qualifications: Bachelor’s degree in Information Technology, Computer Science, or related field. 3–5 years of experience in process automation, RPA development, or systems integration Proficiency in one or more automation platforms. Experience developing logic flows, APIs, and system integrations. Strong analytical and problem-solving skills with a focus on quality and scalability. Certifications: Microsoft Power Platform Fundamentals, or ServiceNow Certified System Administrator (desired) Familiarity with scripting languages (PowerShell, Python, JavaScript) (desired) Experience with AI/ML integration in automation workflows (desired) Knowledge of Lean or Six Sigma principles AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is looking for a high-performance, experienced engineer to be a part of a team of Site Reliability Engineers. You will be working closely with engineering teams, product managers, as well as support and sales engineers to build the future of the Fivetran Data Platform Reliability. As a member of the Site  Reliability Engineering team, you will take ownership of the overall performance and reliability of Fivetran’s infrastructure, the robustness of the deployment pipeline, as well as timely and effective incident response and resolution. You will take responsibility for the growth and stability of Fivetran’s infrastructure, and be a key player driving effective incident response and overall issue avoidance. Technologies You’ll Use Working knowledge of managed Kubernetes (EKS, AKS and GKE) Knowledge of Cloud Platforms and related tooling: AWS, Azure, GCP, Terraform, Ansible, Buildkite, Pulumi and ArgoCD Experience in Python/Shell scripting. Bonus if you have Java, GO, etc Experience with Linux operating systems internals and administration Experience with cloud networking like VPNs, Privatelinks, and Private Service connect (GCP) Experience with databases such as PostgreSQL What You’ll Do Responsible for ongoing reliability and robustness of Fivetran’s production infrastructure by monitoring availability, capacity, and throughput. Evolve systems by adding reliability into our product roadmap Coordinate the re-prioritize or fix critical bugs for support or sales requirements as needed Make recommendations to production infrastructure by interfacing with engineering to ensure 100% availability Ensure scalable artifacts deployment to all environments by automation scripts Constantly monitor infrastructure vulnerabilities and remedy them by working with the security team Skills We’re Looking For 9+  years of  experience working with SaaS products at scale. Working knowledge of managed Kubernetes (EKS, AKS and GKE). Knowledge of Cloud Platforms and related tooling: AWS, Azure, Google Cloud (GCP), Terraform, Ansible, Buildkite, Pulumi and ArgoCD. Experience in Python/Shell scripting and Go Language. Bonus if you have Java. Experience with Linux operating systems internals and administration Experience with cloud networking like Site-to-Site VPNs, Privatelinks and Private Service connect (GCP) # LI-HYBRID #LI-AV1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: South Africa; Pakistan; Philippines; Poland; Romania; Spain About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Job Type: Full-time Location: Remote About the Company Our client is a growing European business focused on leveraging data-driven decision-making to improve performance across sales, customer operations, finance, and business strategy. They are investing heavily in modern analytics infrastructure and seek an experienced Business Intelligence Analyst to transform complex data into actionable business insights. Job Summary We’re looking for a highly analytical and technically skilled Business Intelligence Analyst to own reporting, analytics, and business insight generation across a European operation. This is an exciting opportunity for someone passionate about Power BI, Microsoft Fabric, CRM analytics, SQL, and business intelligence reporting. You’ll act as the analytical engine of the business, helping leaders make smarter, data-led decisions through dashboards, forecasting, and strategic insights. This role goes beyond building reports—you’ll proactively identify trends, opportunities, and risks while becoming a trusted partner to leadership teams. Ideal candidates have experience in business intelligence, data analytics, reporting automation, and executive stakeholder engagement. Key Responsibilities Reporting & Dashboard Development Design, build, and maintain Power BI dashboards and reporting solutions for key business metrics. Own the reporting lifecycle from requirements gathering through deployment and ongoing optimization. Manage report accuracy, performance, data refreshes, and KPI consistency. Continuously improve existing reporting assets as business needs evolve. Microsoft Fabric & Data Engineering Build and manage scalable data pipelines using Microsoft Fabric technologies including Lakehouses, Warehouses, and Data Pipelines. Develop semantic models and support self-service analytics initiatives. Ensure data governance, quality, and consistency across systems. Collaborate with technical teams to improve data architecture and integrations. CRM & ERP Analytics Integrate and analyze data from Microsoft Dynamics 365 CRM and ERP platforms. Develop dashboards covering sales pipeline performance, customer activity, account performance, inventory, and operational metrics. Maintain data integrity across multiple systems to provide a unified business view. Business Insights & Strategic Analysis Analyze business trends, anomalies, and opportunities. Deliver regular business insight reports and executive presentations. Identify risks and opportunities before they materially impact performance. Build forecasting models, trend analysis, and scenario planning initiatives. Stakeholder Engagement Partner with leaders across sales, operations, and finance teams. Translate business needs into analytical solutions. Promote data literacy and support self-service reporting initiatives. Document KPIs, reporting logic, and analytical standards. Requirements 3–5+ years of experience in Business Intelligence, Data Analytics, Reporting, or a related field Advanced experience with Power BI including data modeling and dashboard development Strong hands-on experience with Microsoft Fabric Experience with Microsoft Dynamics 365 CRM analytics and reporting Strong SQL skills for querying and data transformation Experience translating complex data into executive-level insights Excellent communication and stakeholder management skills Strong analytical thinking and commercial awareness Experience supporting European or multi-country operations Knowledge of Microsoft Purview and Azure Data Services Forecasting or predictive analytics experience Experience within manufacturing, distribution, or wholesale industries Power Automate exposure for workflow automation Benefits 💰 Competitive salary package based on experience and technical expertise 🌍 Remote-first working environment with flexibility 📊 Work with cutting-edge Microsoft data technologies including Fabric and Power BI 🚀 Join a growing organization investing heavily in analytics transformation 📈 High visibility role with direct impact on strategic business decisions 🤝 Collaborate with senior leaders across European markets 🎯 Opportunity to shape reporting strategy and become a trusted business advisor 📚 Ongoing professional development and learning opportunities

Location: London, England, United Kingdom Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham is seeking a ML Engineer to join our Data Science team, a future-looking technical arm of Graham. We envision, design, prototype and implement the processes that feed Quantitative Research and Discretionary Trading teams as well as the broader firm. We are passionate about what we do and welcome every opportunity to prove it. The Data Science department straddles traditional Data Science and Engineering roles as well as the application of Machine Learning & AI. We work closely with Quant Researchers, Portfolio Managers, Operations and Execution to continuously improve upon our offering. Every day we work to transform our business through data, technology, and the insights we provide our stakeholders. At Graham, our systems feed live models around the clock, span billions of market data ticks, an ever-increasing corpus of news and other texts as well as a broad spectrum of financial and alternative data. Our objective is to support the research process by providing our stakeholders with all the right pieces to succeed in their jobs. Responsibilities You will be part of a growing team within Data Science. You will work alongside world-class talent to find innovative solutions to some of the most interesting problems on the buy-side. You will work closely with other areas such as Technology, Quantitative Research and Portfolio Manager groups as well as Risk and Operations to learn about problems they face with respect to data and ultimately develop cutting edge solutions. Your focus will be to dive deep into multiple data sets to understand relationships, develop time series, forecasting models, and support quant strategies, and provide new insights and leverage state-of-the-art machine learning and advanced statistical methods to produce the best data sources for the fund. Requirements Undergraduate or higher degree in Computer Science, Engineering, Operations Research, or other quantitative discipline 3+ years of hands-on experience with Machine Learning and Statistics on large, unstructured, data sets Experience writing production code for multi-client systems serving model results is a great plus Ability to clearly communicate research findings to technical and nontechnical stakeholders Full-stack experience with Python (preferred) or C++, Spark/Scala, SQL or other distributed data processing technologies as well as experience working comfortably building and deploying services and models in containerized environments Experience with scientific computing, statistics, optimization, time series, panel data, etc. Comfortable handling multiple projects to solve varied problems working with multiple teams Detail-oriented mindset Sense of ownership of his/her work, working well both independently as well as collaboratively This role requires commuting into our London office Mondays through Fridays.

Location: Tel Aviv DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Algorithmic Trading Team is looking for a Site Reliability Engineer for our Tel Aviv office.  The SRE team is critical to the success of our trading – ensuring that our production trading systems, test environment and research pipeline are working flawlessly. We’re looking for a Site Reliability Engineer who thrives at the intersection of software, trading and infrastructure – someone who creates observability that surfaces issues before they ever cause a problem, owns the response when things go wrong, and relentlessly drives automation that eliminates friction and keeps our team focused on our goals. What you will do: Work with software engineers and traders to provide 24/7 first line support of our trading, testing, and research environment. Proactively monitor and identify issues before they impact trading.  Define and automate observability around application SLAs and build anomaly detectors that surface problems early. Oversee and maintain our test trading environment.  Keep the environment running smoothly and pursue automation of routine interventions required to maintain a stable test platform for development. Standardize CI/CD and operational processes across development teams to reduce friction and speed up delivery.  Improve deployment scripts and release verification processes. Perform stress tests and verify SLAs under load. Work with application and devops engineers to design and improve support for this type of testing. Work closely with traders, engineers, system administrators, data centers, networking, and other shared services. What you will need: Bachelor's degree in computer science or equivalent practical background. 3+ years of hands-on software development or SRE Experience Demonstrated experience with observability tools – logging, metrics and tracing Hands on development experience in scripting languages like Bash, Python, or Ruby An automation-first approach to problem solving – you understand that manual processes don’t scale, and your instinct is to eliminate them before they become a bottleneck. Demonstrated knowledge of network communications including comprehensive understanding of the Linux TCP-IP stack, use of multicast networking, and network protocol interactions. Solid diagnostic capabilities from the application layer through the network and low-level hardware. Experience with network capture and time synchronization. High level of ownership and accountability, reliability, and strong follow through. Positive AI mentality and experience with AI agents to accelerate SRE tasks. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-GV1

Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a Senior Data Center Capacity Delivery Manager at Anthropic, you'll embed with project teams responsible for delivery of leased and partnered data center capacity. Your primary role will be to lead these partners to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center. Additionally, you'll validate deal readiness, coordinate complex stakeholder relationships, maintain regular reporting and status tracking, and ensure seamless transitions from project inception through operational readiness. This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure. Key responsibilities Lead.  This is a role where leadership trumps management and process.  You will be expected to be at one or more project sites in adequate amount to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner. You are expected to be a force multiplier that develops and enhances the skillset that development partners, contractors, and key trades bring to the project(s) you are overseeing.  That means being a subject matter expert in the various cross functional elements of data center delivery and increasing the team's performance with that knowledge and commitment to alignment. Confirm deal readiness and serve as the gatekeeper to validate transaction viability from Letter of Intent (LOI) through lease execution, ensuring all predevelopment, planning, technical and business requirements are met before commitment Partner with landlords and developers post-deal to serve as Anthropic's primary point of contact, coordinating across internal stakeholders, tracking construction progress, and facilitating critical information exchange between development partners and Anthropic stakeholders Represent Anthropic in key technical and operational decisions required by partners during the development process, ensuring our infrastructure requirements are met while maintaining strong partnerships Drive seamless handoffs to operational state with heavy focus on engagement across networking and deployment teams, enabling rapid workload turn-ups and minimizing time-to-production Prepare and present regular executive reporting on progress versus plan for facility development, supporting forward capacity planning and strategic decision-making Identify and mitigate risks throughout the delivery lifecycle, proactively addressing blockers that could impact timeline, cost, or technical requirements Develop and refine standardized processes and playbooks for facility delivery, driving continuous improvement as Anthropic scales its infrastructure footprint You may be a good fit if you: Have 8+ years of experience in the highest level of site leadership managing data center delivery, construction projects, or infrastructure deployment at scale within Australia.  You won’t have a big direct team to delegate too but will instead be able to treat the entire cross functional organizations at a jobsite as your team. Have a strong understanding of the end to end (dirt to delivery) data center development process to include entitlements and permitting, planning and supply chain, execution, commissioning, and handover. You are not an administrator but an active player in the arena comfortable making decisions and guiding delivery execution without the need to consult across multiple external parties. You should understand the nuances of data center design and construction in Australia- who the players are, what contractual norms get in the way of speed of delivery, how teams can be incentivized to build and deliver faster than normal. In this role you will often be on an island and responsible for your own destiny.  You will have free reign to develop your own approaches with the mission guidance being your only bounds. It's a bonus if you: Understand AI/ML infrastructure requirements, including high-density power and advanced cooling systems Have had leadership positions (General Superintendent, Project Manager) within a GC or EPC on hyperscale data center projects or in self performance of hyperscale data center development projects. Prioritize extreme ownership and have the ability to create winning cultures across diverse job sites. Are deeply familiar with lease negotiations, construction contracts, or real estate development processes and have strategies to move those arrangements from traditionally transaction and risk managed arrangements to collaborative efforts that align incentives around accelerated delivery of facilities. Deadline to apply: None. Applications will be reviewed on a rolling basis. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Canada; Europe; United States; 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 role? Ship state of the art models to production. Design and implement novel research ideas. Build elegant training/deployment pipelines. Join us at a pivotal moment, shape what we build and wear multiple hats as an intern! Our recruitment process will begin in the upcoming weeks, and we will be carefully reviewing applications and assessing potential candidates for our internships. Should we find a suitable match with your qualifications and our requirements, we will be in touch to discuss the opportunity further and to advance your application to the next stage Please Note: To be eligible for this position you should be a student currently enrolled in a post-secondary program, available for a full-time 3-6 month internship, co-op, or research work term. As a Machine Learning Intern, you will: - Design, train and improve upon cutting-edge models. - Help us develop new techniques to train and serve models safer, better, and faster. - Train extremely large-scale models on massive datasets. - Explore continual and active learning strategies for streaming data. - Learn from experienced senior machine learning technical staff. - Work closely with product teams to develop solutions. You may be a good fit if you have: - Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR. - Experience using large-scale distributed training strategies. - Familiarity with autoregressive sequence models, such as Transformers. - Strong communication and problem-solving skills. - A demonstrated passion for applied NLP models and products. - Bonus: experience writing kernels for GPUs using CUDA. - Bonus: experience training on TPUs. - Bonus: papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). 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: Quebec Workplace: onsite (Version française ci-dessous)   With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games. As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a Tech Audio Designer in Quebec to join the team and help us in crafting the high calibre games our fans have come to expect.   Responsibilities    - Execute the technical Audio Vision under the supervision of the Tech Audio Director. - Execute and maintain the entire audio pipeline, from asset production through implementation, integration, and deployment. - Communicate with stakeholders and feature groups to ensure smooth execution. - Design and implement Wwise systems. - Write and maintain scripts for the audio pipeline. - Support and mentor junior Tech Audio Team members.   Requirements    - Solid understanding of the Game Audio pipeline from asset creation to soundscape design. - Knowledge of scripting systems to develop customized, scalable automated solutions. - Build pipelines to support Sound Designers in delivering creative output. - Expertise in Wwise. - Exposure to or understanding of building Wwise plugins. - Experience working in the games industry. - Strong understanding of general audio production, including asset creation, mixing, and mastering. - Proficient in designing, developing, and maintaining node-based systems  - Proficient with Python and C++ programming languages - A professional level of written and spoken English*   What we offer:   - An international team of over 600 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel - An open, collaborative environment where ideas are welcome and encouraged - A managerial team consisting of highly experienced game developers at the top of their fields - Sharing hobbies and passions with like-minded colleagues - Inclusive environment with many activities organized by the studios or the employees - Commitment to making the best game possible for the fans, including listening to community feedback    * Due to the global nature of our operations and the need to engage daily with an international team, fluency in English is essential for this position at Larian.   ------------------------------------------   Maintes fois primé, Larian Studios a amplement démontré sa volonté de proposer des jeux de rôle de très haute qualité. À l’heure où le studio à l’origine de titres comme Baldur’s Gate 3 et Divinity: Original Sin 2 se tourne vers de nouveaux projets, nous sommes en quête d’un Concepteur sonore technique qui rejoindra l’équipe de Québec et nous aidera à créer les jeux d’excellence auxquels nos fans sont habitués.   Responsabilités    - Réaliser la vision technique de l’audio sous la supervision du directeur technique audio - Réaliser et maintenir le processus complet de développement de l’audio, de la création de ressources jusqu’à l’implémentation, l’intégration et le déploiement - Communiquer avec les parties prenantes et les équipes chargées des fonctionnalités pour garantir une réalisation sans heurts - Concevoir et mettre en œuvre des systèmes Wwise - Rédiger et maintenir des scripts pour le processus de développement de l’audio - Aider et mentorer les membres débutants de l’équipe technique audio   Profil recherché   - Une solide compréhension des processus de développement de l’audio d’un jeu vidéo, de la création des ressources jusqu’à la conception de l’environnement sonore - Une connaissance des systèmes de script afin de créer des solutions automatisées, sur mesure et évolutives - Une expérience dans la création de processus pour aider les concepteurs sonores à élaborer des propositions créatives - La maîtrise de Wwise - Des connaissances ou de l’expérience dans la création de plugiciels Wwise - Une expérience professionnelle dans l’industrie du jeu vidéo - Des connaissances générales approfondies en matière de production audio (création, mixage et matriçage des ressources) - Maîtrise de la conception, du développement et de la maintenance de systèmes basés sur des nœuds - Maîtrise des langages de programmation Python et C++ - Bonnes compétences orales et écrites en anglais*   Ce que nous proposons   - Une équipe internationale de plus de 600 employés répartis dans 7 studios à travers le monde, chacun avec ses propres qualités uniques, le tout en conservant une ambiance conviviale de petite entreprise - Un environnement de travail ouvert et collaboratif, où les idées nouvelles sont encouragées et bienvenues - Une équipe de gestion composée de développeurs d’expérience au sommet de leur art - Des collègues ayant les mêmes valeurs avec lesquels partager ses passions et ses passe-temps - Un environnement inclusif avec de nombreuses activités organisées par les studios ou les employés - Un engagement à réaliser le meilleur jeu possible pour les fans, en prenant en compte les commentaires de la communauté   * En raison de la portée mondiale de nos opérations et de la nécessité d'interagir quotidiennement avec une équipe internationale, des connaissances professionnelles en anglais sont indispensables pour ce poste chez Larian.

Location: Latin America Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , Poolside , Recraft ,  and Shopify . Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Israel , Czech Republic , Serbia , and more. About the Role Technical consultants play a key role in our company, ensuring top-level delivery of our product, its correct configuration, and the deployment of tailored AI data solutions that meet our customers’ needs and deliver an exceptional experience working with us. As part of this role, you will not only design and implement data labeling pipelines but also act as a trusted technical advisor for our customers - helping them understand their data needs, discover new opportunities, and build scalable AI solutions. We are looking for a person with more than 3 years of solid technical background, who feels comfortable working in technical environments, solving data-related tasks using Python and AI, and communicating directly with customers. You should be a confident communicator able to engage with both technical and executive stakeholders and collaborate closely with our commercial team. Responsibilities 1. Client Ownership & Communication Act as the primary technical point of contact for customers across technical and executive stakeholders. Lead discovery conversations to deeply understand client goals, problems and quality criteria. Translate client needs into clear, actionable solution designs and delivery plans. Advise customers on best practices in data collection, data quality, evaluation, and model training workflows. Set expectations proactively, communicate progress regularly, and manage risks and trade-offs transparently. Identify expansion opportunities and additional ways Toloka can create value through data and AI solutions. 2. Solution Design & Delivery Design end-to-end data solutions using Toloka’s platform, selecting appropriate components, workflows, and quality controls. Configure data labeling components and quality controls, develop user interfaces and AI-driven tooling (e.g. agentic systems, RAGs, synthetic data generation), and integrate them into end-to-end automated pipelines for AI training and evaluation. Run experiments and pilots to validate quality, throughput, and cost assumptions. Lead technical execution during delivery, coordinating internal teams and external stakeholders as needed. Ensure solutions meet agreed quality, performance, and scalability requirements. 3. End-to-End Ownership & Project Management Own delivery outcomes holistically - including technical performance, quality, timelines, and financial efficiency. Monitor key KPIs (e.g. throughput, quality metrics, Gross Margin, Contribution Margin) and act on deviations. Prioritize work based on customer impact and business value. Analyze data to identify failure modes, inefficiencies, and opportunities for improvement. Continuously optimize solutions through iteration, automation, and adoption of new technologies. Troubleshoot delivery, process, or technical issues in collaboration with support, infrastructure, and product teams. Drive solutions toward stable operation with minimal ongoing maintenance. Requirements Core Experience Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems Analyst, or Technical Project Manager. Proven experience owning projects end-to-end, including scoping, delivery, and stakeholder management. Direct experience working with external customers on technical projects (requirements gathering, delivery, iteration). Technical Skills Strong Python skills for data manipulation (e.g. NumPy, pandas), natural language processing (e.g. NLTK, spaCy), and building lightweight web services or tools (e.g. FastAPI, Flask). Solid understanding of ML concepts and data workflows; familiarity with LLMs and prompt engineering is a strong plus. Experience designing multi-stage pipelines and complex systems. Understanding of software development fundamentals: version control, testing, MVPs, iterative development etc.. Bachelor’s or Master’s degree in Data Science, ML/AI, Software Engineering, or a related quantitative field such as Physics or Applied Mathematics, with strong analytical foundations. Ability to reason about trade-offs between quality, speed, cost, and scalability. Communication & Ownership Excellent English communication skills (B2+), with the ability to explain complex technical concepts to non-technical audiences. Confidence working with data engineers, ML engineers, and researchers from leading tech companies. Strong ownership mindset: comfortable being accountable for outcomes, not just tasks. Ability to manage multiple projects in fast-paced, ambiguous environments. Nice to have Experience with crowdsourcing, expert workflows, or large-scale data labeling. Experience working on ML training, evaluation, or agentic systems. Familiarity with quality frameworks, audits, or data validation pipelines. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc,  or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance!

Location: Japan Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE This role partners directly with enterprise customers building and deploying conversational agents on the ElevenLabs Agents Platform. The focus is hands-on execution - advising on agent design, personas, conversation flows, tool integrations, and voice customization to deliver clear business outcomes in production environments. You will guide customers through best practices for deploying and scaling agents across web, mobile, and telephony, and for integrating agents with existing data sources and systems. You will analyze agent performance data and conversational logs to identify friction points and optimization opportunities that improve accuracy, user experience, and reliability at scale. In parallel, you will own expansion outcomes across a defined portfolio of enterprise accounts. Success is measured by net revenue retention and sustained multi-product adoption. You will identify expansion opportunities, drive cross-sell through deeper agent usage, and partner with Sales, Engineering, and Account Managers to convert technical success into durable revenue growth and long-term customer commitment.   REQUIREMENTS - 5-7 years of Customer Success or Account Management experience supporting complex B2B SaaS, Developer Tools, or AI/ML products in Japan - Familiarity and experience with building and deploying AI agents - Familiarity and experience with API Integrations, and comfort and knowledge of navigating SDKs - Proven experience driving revenue outcomes, including owning a revenue quota and identifying, qualifying, and closing cross-sell opportunities - Excellent problem-solving, technical, and analytical skills to address customer needs and concerns - Strong communication and interpersonal skills, with the ability to build and maintain relationships with customers at all levels of an organization - Strong understanding of the Japan market landscape and cultural nuances - Self-motivated and able to work independently in a remote or distributed team environment     #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About Us Pink Elephant builds infrastructure of products at the frontier of mental health on EU and US markets. Mental health is a global crisis hiding in plain sight. Nearly 1 in 8 people live with a mental disorder. Depression and anxiety alone strip $1 trillion from the global economy every year. Conventional treatment leaves most patients cycling through mediocre solutions for years: undertreated, undersupported, and underinformed. Progressive therapies are showing results up to 10 times more effective than standard care. Yet fewer than 5% of people can access them. We're here to close that gap. A big part of our portfolio is everyday mental healthcare: mental health diagnostics, antidepressant journeys, alcohol use disorder, medical cannabis, the unmet clinical touchpoints, the patients who leave a 20-minute appointment with a prescription and no roadmap. We don't build one product. We launch a new live product loop every 2-3 months. You will not join one product. You will join a portfolio and a queue of ideas behind it: withClaro.com - an AI mental health product supporting people taking antidepressants, with live users. The next step is a UK telemedicine loop: consultation, prescription, pharmacy, delivery, and a code back into the app. Alcohol-Use Disorder (AUD) UK - a clone of the Claro loop for alcohol use disorder, built on the same core. Medical cannabis - a portal and interface for partner clinics in Germany and the UK. PsyAccess - a directory with organic traffic. Every loop runs in a regulated environment with real partners: doctors, pharmacies, CQC-registered clinics, e-prescribing and verification vendors. The key question is: how do we assemble it fast and keep it legal, safe and accessible. The Role We are looking for a technical partner who assembles and launches products with his own hands, side by side with the CEO, and teaches the team to work the same way. This is not an engineering management role. You will not run a dev team, write specs for developers, or design a platform for the next three years. You will build: landing, intake, payment, vendor integration, deployment, event analytics. Product decisions are made together with the CEO and the CPO. Why ex-CTO rather than a strong developer: we want someone who has already been through architecture, teams, and processes, and has concluded that in today's world of ready-made services and AI tooling one strong person ships in 4-6 weeks what used to take a team of five. Not someone who grew into a CTO, but someone who outgrew it and came back to building on purpose. You will report to the CEO. The CPO joins the second interview and works with you on products. Responsibilities: What You Drive Assemble and launch product loops end to end: landing, intake, payment, vendor integration, deployment, event tracking. Write and ship code every day using AI development tools (Cursor, Claude Code, Lovable, v0 or similar) and ready-made platforms. Choose "buy and tweak" over "write from scratch": clinical platform, e-prescribing, identity verification, Stripe. Your own code is the glue, the intake, and the tracking. Sit with the founder, a partner doctor, a pharmacy, a vendor, and turn the conversation into a working flow. Keep every loop legal in a regulated environment: UK and DE clinical, prescribing, and data rules. Move the portfolio's product managers to the owner mode empowering them to push to prod themselves: tools, templates, access, weekly reviews. Make product decisions together with the CEO; decisions take a day, not a committee. First 90 Days withClaro.com UK telemedicine loop: consultation, prescription, pharmacy, delivery, code into the app. Rented services, your hands only on the glue, intake, and tracking. Goal: first live consultation with a prescription in 6-8 weeks. Alcohol-Use Disorder UK: clone the Claro loop for alcohol use disorder on the same core, plus 3-4 weeks. Medical cannabis: set up the portal and interface for partner clinics in Germany and the UK. In parallel: product managers across the portfolio building and shipping on their own. Experience: What You Bring 3+ years as CTO, Head of Engineering, or technical co-founder, at a startup or a unit inside a large company. You write code yourself today. Github commits from the last 30 days you can show. AI development tools (Cursor, Claude Code, Lovable, v0, Replit or similar) are your primary workflow, not an experiment. At least one product you built alone or with one partner and took to real users or payments in the last 2 years: a side business, a pet project, an MVP for someone. A track record of buying ready-made and tweaking: you can name which services you took off the shelf, which you threw out, and why. You work with business directly: founder, partner doctor, pharmacy. You translate the conversation into a working flow. Working English: partners and vendors are in the UK and Germany. Russian is a plus, the team is Russian-speaking. Nice to Have Experience in healthtech, telemedicine, mental health, or other regulated consumer products in Europe. Hands-on work with clinical platforms, e-prescribing, pharmacy integration, or identity verification vendors. Experience taking products from zero to one more than once. Public building track record: live GitHub, build-in-public posts on LinkedIn, X, or Telegram. A startup where you were CTO that was sold or closed in 2022-2025, after which you did not take the same title in a corporation. What This Role Is Not A current CTO who is open to considering. You would come to build a team and a platform. We have neither to offer. An architect or manager who stopped writing code 3+ years ago and never came back. Someone who needs 2-3 engineers to get started. A full-time freelancer with a dozen clients. We need one focus. Perks: Why Join Us Purpose and stability without corporate routine. The job is building products with your hands, not reports and meetings. For someone who left a CTO seat to go independent and is tired of the instability, this is a rare combination. Several launches a year, not one. Claro, AUD UK, medical cannabis DE/UK, PsyAccess, and a queue of ideas behind them. A new live loop every 2-3 months. A regulated environment with real partners: doctors, pharmacies, CQC clinics. The interesting problem is how to assemble fast and stay legal, not another SaaS dashboard. Direct work with the CEO/Cofounder. Equity/ESOP after the successful probation period. Compensation: TBD

Location: Dhahran, Saudi Arabia; Bengaluru, India Eram Talent is seeking a highly skilled Cloud Engineer / Architect to join our team in Saudi Arabia. The successful candidate will be responsible for designing, implementing, and managing cloud solutions that align with our clients' business objectives. You will play a critical role in architecting scalable, secure, and cost-effective cloud infrastructures, supporting cloud migration initiatives, and optimizing cloud environments across various platforms including AWS, Azure, and Google Cloud Platform (GCP). Key Responsibilities: Design, develop, and deploy cloud-based solutions aligned with organizational goals. Lead cloud migration projects including assessment, planning, and execution phases. Implement Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or ARM templates. Manage and optimize cloud resources to ensure availability, scalability, and security. Collaborate with cross-functional teams to integrate on-premises and cloud environments. Monitor cloud performance and implement automation for continuous improvement. Provide guidance on cloud best practices, security compliance, and cost management. Requirements Bachelor’s degree in Computer Science, Information Technology, or related field. Advanced degree is a plus. 7+ years of experience in cloud engineering and architecture roles, preferably in multinational environments. Strong hands-on experience with at least two major cloud platforms such as AWS, Azure, or Google Cloud Platform. Proficiency with Infrastructure as Code (Terraform, CloudFormation, ARM templates). Experience with containerization technologies like Docker and orchestration tools such as Kubernetes. Strong understanding of networking, security frameworks, identity and access management (IAM), and compliance standards. Relevant cloud certifications such as AWS Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Professional Cloud Architect are highly desirable. Excellent problem-solving, communication, and teamwork skills.

Location: United States The Opportunity Flosum is looking for a visionary Senior Salesforce Technical Business Analyst who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce. This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem. We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first. About Flosum Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards. Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match. We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build. What You Will Own Product Vision & Strategy Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva. Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors. Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for. Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift. AI & Innovation Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management. Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary. Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents. Customer & Market Insight Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management. Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions. Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations. Execution & Delivery Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it. Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination. Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates. Requirements Who You Are We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career. 7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms. Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem. Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products. Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred. You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable. Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape. Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance. Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day. Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it. What Will Make You Exceptional in This Role You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company. You have worked at the intersection of DevOps and security/compliance in regulated industries. You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics. You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce. You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend. What We Expect in the First 12 Months First 90 Days: Learn and Diagnose Achieve deep fluency in Flosum's five product lines and their technical architecture. Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points. Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win. Deliver your first product roadmap refresh with clear prioritization rationale. Months 3-6: Ship and Win Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability. Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn. Define the next generation of Flosum's AI capabilities and present a detailed execution plan. Months 6-12: Scale and Lead Drive measurable improvement in competitive win rates against Copado and Gearset. Launch at least one net-new product capability that opens a new revenue stream or market segment. Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement. Benefits Why Flosum Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational. Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem. Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate. AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next. Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it. Compensation & Benefits Competitive base salary + performance bonus Equity participation Comprehensive benefits (health, dental, vision, 401k) Hybrid flexibility (San Ramon, CA HQ) or remote for exceptional candidates Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagements If you live in San Ramon, CA this can be a Hybrid position, but we're open to fully remote in other locations.