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Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We’re looking for a Software Engineer to join our Platform team. You will build the observability systems that give Vercel visibility into how we build, ship, and operate our systems. Core Platform owns Vercel’s reliability, resilience, and engineering velocity. We’re looking for engineers to create observability for everything from cost attribution to deployment velocity, alongside the logs, metrics, and traces necessary to optimize how Vercel builds its systems. This is a role with a wide breadth where we quickly develop critical systems and improve the entire Vercel code base. You will report to Eric Larson, Engineering Manager, Platform and will be located onsite, hybrid, or remote. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday, even if the role is listed as remote. For location-specific details, please connect with our recruiting team. What you'll do Design and build high-scale, internal observability systems (metrics, logs, and traces) that give engineering and the business visibility into Vercel's own infrastructure. Build cost attribution and chargeback tooling so spend can be accurately mapped to the parts of the business driving it, reducing reliance on third-party tools like Datadog. Partner with Backend and Platform teams to instrument services for compliance, auditing, and record-keeping requirements. Evaluate, integrate, and help operate observability infrastructure across our existing vendors and the CNCF ecosystem. Ship pragmatic, high-leverage visibility quickly that drives improvement in how we build, deploy, and operate our systems. Work closely with Backend and Platform engineers to scale observability infrastructure to the throughput and cardinality of Vercel's full production traffic. What you need Proficient in TypeScript, with backend/infrastructure experience. Hands-on experience with Go, Rust, or Zig in production systems. Experience with distributed computing systems at scale. Experience with cloud infrastructure, including object storage. Familiarity with observability tooling and concepts (Datadog, Grafana, New Relic, Splunk, or CNCF-based stacks such as Prometheus-compatible backends). Bonus if you Have contributed to or worked closely with CNCF observability projects. Built, scaled, and improved internal developer platforms. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000-$312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking an Senior Enterprise Applications Engineer to own the full lifecycle of our enterprise application ecosystem—from evaluation and procurement through deployment, optimization, renewal, and retirement. This role will manage and govern a diverse portfolio of critical platforms, including Slack , Zoom , Miro , Atlassian ( Jira , Confluence ), Microsoft 365 , DocuSign , and other collaboration, HR, finance, security, and AI-driven tools. This is a highly cross-functional role requiring strong ownership, hands-on SaaS expertise, and the ability to independently lead initiatives that improve reliability, scalability, automation, and operational excellence across the enterprise. This is a remote role in US. Your responsibilities will include: Own the end-to-end lifecycle management of enterprise SaaS applications, from evaluation and procurement to deployment, optimization, renewal, and retirement. Manage the enterprise application portfolio, including major platforms such as Slack, Zoom, Miro, Atlassian (Jira, Confluence), and other collaboration, HR, finance, and security tools. Lead SaaS procurement and vendor management, including contract negotiations, renewals, cost optimization, and license management. Drive SaaS testing, onboarding, and rollout, ensuring tools meet business, security, and compliance requirements. Partner closely with Security, Legal, Privacy, AI, SOX, and Compliance teams to conduct risk assessments, security reviews, and ongoing audits for all managed tools. Evaluate and assess AI-driven tools and platforms, stay current on market trends, and guide decision-making on AI adoption across the enterprise. Ensure security, compliance, and data integrity across all enterprise applications. Act as a key stakeholder in security and compliance reviews, including vendor risk assessments and AI governance. Support Disaster Recovery (DR) and Business Continuity Planning (BCP) from a SaaS perspective, including documentation and participating in reviews and audits when required. Proactively identify opportunities for process improvement, automation, and optimization across the SaaS ecosystem. Lead cross-functional initiatives and serve as a central point of coordination between technical and non-technical teams. Establish and maintain support, documentation, and governance processes to ensure reliability and scalability of enterprise platforms. Communicate clearly with stakeholders at all levels and drive initiatives independently from concept to execution. We expect you to have: 5+ years of experience in enterprise applications, SaaS portfolio management, or enterprise IT, with strong end-to-end ownership. Deep hands-on experience managing enterprise SaaS platforms such as Atlassian, Slack, Zoom, Microsoft 365, Miro, DocuSign, and similar tools. Strong understanding of the full SaaS lifecycle, including procurement, implementation, renewals, and decommissioning. Experience working closely with Security, Legal, Compliance, Privacy, and SOX teams. Solid knowledge of AI tools and platforms, including how to assess, evaluate, and govern them from a security and compliance perspective. Proven ability to manage vendor relationships, contracts, and licensing at scale. Excellent communication and collaboration skills, with the ability to work across multiple teams and influence stakeholders. A proactive, initiative-driven mindset with the ability to operate independently in a fast-paced environment. Strong organizational skills with the ability to manage multiple priorities and projects simultaneously. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $183,900 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About the Role We are looking for a unique Senior Backend Engineer who bridges the gap between powerful infrastructure and scalable, maintainable application architecture. You are as comfortable managing Kubernetes clusters as you are architecting complex server-side logic and ensuring long-term code health. In this role, you will own the full lifecycle: designing robust RESTful architectures, orchestrating containers via Kubernetes, and building systems that are as resilient as they are efficient. Key Responsibilities You’ll create and develop Kubernetes Operators using Go & Operator SDK, implemented as microservices. End-to-End Development: Design and develop high-performance web applications with a focus on high availability architectures and disaster recovery scenarios. Infrastructure & Orchestration: Manage containerized environments using Kubernetes or Docker Swarm (including deployment, scaling, and health. Requirements 7+ years of professional experience in Backend development, with minimum 5 years of experience in Go. Experience as a Tech lead/Team lead. Hands-on production experience with Kubernetes. Experience using Go & Operator SDK Experience with AWS. (proven experience developing and maintaining operators for managing resources in AWS) Advantage Proficiency in modern server-side languages such as Node.js, Python or Rust. Experience with GCP or Azure.

Location: Poland OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The IT Operations team keeps Anthropic running. We make sure every employee can do their best work without friction. We're hiring an IT Operations Engineer to develop our global asset management and hardware lifecycle program across our offices in San Francisco, New York, Seattle, London, Dublin and Sydney. You will bring program expertise to how we track hardware as inventory through its whole life: procurement and receiving, the inventory of record, assignment, refresh, collection and recovery, e-waste and secure disposal, and reseller relationships, iterating and scaling practices as we mature. The same person runs day-to-day operations for our corporate mobile program in addition to expertise in management of laptop and workstation lifecycle operations. You'll partner with several teams within the IT, Security and business operations organizations: IT Hardware Ops runs procurement, fleet logistics, onboarding and offboarding, the storage room, and physical intake. The Endpoint pod owns MDM, device policy and enrollment. Finance owns the budget and vendor contracts. Hardware requests that come through the IT Support queue land with the IT Support team, and you'll help define how they are handled. Responsibilities Strategy and Tooling Develop the global asset management strategy: the lifecycle model, the data we keep on every device, and how each office executes against it Select, implement and administer the asset management tool, define its data model and integrations, and partner with IT Engineering where the work needs platform-level access Contribute to and develop the processes on-site engineers in each office execute against, including the storage room process Support the evaluation and onboarding of a hardware lifecycle services vendor and, once in place, run the day-to-day relationship Inventory and Assignment Establish the inventory of record across systems and keep it accurate, from receiving through disposal: every device, its state, its location, and who has it Run audits of who-has-what and reconcile physical counts against the system of record Manage demo, loaner, and travel device inventories, ensuring devices are accurately tracked through complex logistical deployments Maintain up-to-date inventory counts and make strategic purchasing decisions in support new hire onboarding and peripherals stock levels Procurement and Refresh Support hardware purchasing through our reseller and vendor relationships, working from the refresh calendar Build out the refresh calendar and advance it across offices Reconcile purchase orders, deliveries and invoices with Accounting and vendors so that what was ordered, received, and billed line up Collection, E-waste and Disposal Develop device collection and recovery workflows: offboarding returns, refresh swaps, remote-employee returns and the BPO fleet, including the shipping and tracking that goes with them Build the e-waste program: certified recycling and secure disposal partners in each region, data destruction records, and the chain of custody from collection to certificate Handle equipment under legal hold or other chain-of-custody requirements BPO and Contingent Fleet Provision, track and recover the device fleet for our BPO partners, and be the day-to-day hardware contact for those vendors Corporate Mobile Run day-to-day operations for the corporate mobile program and write its runbook Manage deployment, break-fix, and carrier relationships associated with a mobile device fleet Automation Identify repetitive work throughout the operation and automate it with the tools at hand (scripts, systems integrations / connectors, AI tools) You may be a good fit if you Have implemented an asset management and lifecycle program for a multi-office fleet, not only run one: taken it from spreadsheets or nothing to a system of record and defined the processes around it (procurement, inventory, assignment, refresh, collection and disposal), ideally in a fast-paced or high-growth environment Have selected or implemented an asset management platform such as Jira Assets, Snipe-IT or similar, and developed the data model Have run an e-waste or secure disposal program with certified partners and chain-of-custody records Have managed reseller or vendor relationships for hardware purchasing and asset disposal Write things down: runbooks, how-to guides and knowledge base articles Recognize when a request reaches past this role and route platform work to IT Engineering, policy to the Endpoint pod, and budget to Finance Strong candidates may also Have supported a corporate mobile program or carrier account Have basic scripting experience (Bash or Python) for inventory or reporting automation Have experience using AI tools to improve personal or team productivity Have been the hands-on asset contact for an ISO 27001 or SOC 2 audit: pulled extracts from the register, produced disposal certificates and evidence of returned assets Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $180,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Boston, MA; San Francisco, CA | New York City, NY; Seattle, WA; Washington, DC 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 As Manager, Customer Success – Cyber, you'll lead the Customer Success Managers who cover our cybersecurity accounts: the security, identity, cloud, data protection and observability vendors building on Claude across API, Claude Code, Cowork and other surfaces, both inside their own engineering and security organizations and embedded in the products they sell to their customers. You'll directly coach and develop a team of Customer Success Managers while keeping strategic oversight of the highest-impact engagements in the segment. This role demands exceptional people leadership combined with deep product knowledge, cybersecurity domain expertise and customer success acumen to guide your team in maximizing customer value, driving consumption, and expanding our footprint across enterprise accounts. You'll be instrumental in building scalable CS processes, methodologies, and playbooks that will define how we grow and mature as an organization. Responsibilities: Directly manage and develop a team Customer Success Managers supporting strategic cybersecurity accounts across all Anthropic products (API, Claude.ai , Claude Code) Coach team members on customer success best practices, including change management and adoption strategies, value realization, and expansion methodologies across our product suite Provide cybersecurity subject matter expertise to cyber customers and the CSMs supporting them: bring domain knowledge of security operations, detection and response, identity, cloud and data protection to customer engagements, and coach the team on how cyber vendors build, buy and embed AI so they can engage credibly with CISOs, CTOs and principal engineers Drive team accountability to core CS metrics: expansion (consumption growth, cross-sell/upsell opportunity identification), customer health scores, retention (NRR), and customer satisfaction (CSAT) Join strategic customer engagements and escalations, demonstrating executive presence with C-level stakeholders at leading cybersecurity companies Build and refine scalable CS processes including success planning frameworks, QBR templates, and expansion playbooks Partner closely with Sales to identify expansion opportunities, facilitate smooth handoffs, and ensure aligned account strategies Collaborate cross-functionally with Product, Engineering, and Marketing to advocate for customer needs and drive product adoption Contribute to hiring, onboarding, and training initiatives as the Customer Success organization scales Establish and nurture an AI-first, innovation-focused team culture, improving team processes and deepening team hands-on expertise Conduct regular 1:1s, performance reviews, and career development planning for direct reports Own portfolio-level planning and forecasting, including renewal risk mitigation and expansion pipeline development Serve as escalation point for at-risk accounts and complex customer situations within your team's portfolio Develop customer advocacy programs including case studies, testimonials, and reference architecture development Champion responsible AI deployment practices with customers and represent Anthropic's values in all customer interactions You may be a good fit if you have: 7+ years of experience in customer success, account management, or customer-facing roles, with 2+ years of front-line management experience Proven track record of managing and building customer success teams in SaaS, API, or AI/ML companies Cybersecurity experience: time spent working with or inside cybersecurity companies, or in a security-adjacent domain (security operations, detection and response, identity, cloud or data security), with the fluency to act as a credible subject matter expert for cyber customers and your team Experience managing customer portfolios at enterprise scale, including accounts with $1M-$100M+ annual contract values Strong understanding of both consumption-based and seat-based business models, with proven ability to drive adoption, expansion, and value realization across different pricing structures Technical fluency to understand AI/ML products, navigate technical conversations, and coach teams on product capabilities across multiple offerings Strong executive presence and ability to represent Anthropic with customer technical and business leaders Strong business acumen with ability to articulate value, calculate ROI, and drive customer business outcomes Ability to balance strategic thinking with tactical execution and context-switch between coaching, customer engagement, and operational planning Experience building CS processes, playbooks and operational frameworks, using data to drive team and customer outcomes Demonstrated ability to coach customer success professionals and systematically improve team performance against KPIs Track record of achieving team targets for expansion, retention and customer satisfaction Passion for responsible AI development and helping customers transform their businesses with cutting-edge technology The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: USA Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. What we can offer : A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value. At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits. Come join the team! The Opportunity: LG Electronics is seeking a Business Development Manager to open new customers for our Smart Factory Solutions business in North America. This is an individual contributor role within the Smart Factory Solutions sales organization, owning new business from first contact through purchase order. The Manager leads with consulting engagements such as feasibility studies, simulation, and digital twin work that define automation requirements, and converts them into automation hardware and integration programs. Our customers are manufacturing and logistics operations across automotive and EV, battery, semiconductor and electronics, logistics and fulfillment, aerospace and defense, industrial machinery, and other discrete manufacturing sectors. This role focuses on new customer acquisition. Existing enterprise accounts are managed separately within the sales organization. Responsibilities: New Business Development Build and own a target account list of manufacturing and logistics operations across North America, prioritized by automation need and decision path Open executive and plant leadership relationships at target accounts and qualify opportunities for autonomous mobile robots, automated transport, collaborative robot cells, simulation and digital twin, and turnkey integration Lead opportunities from first engagement through proposal, negotiation, and purchase order, including consulting entry engagements that specify follow on hardware programs Maintain an accurate pipeline and forecast and report progress against new customer and purchase order goals Partnerships and Ecosystem Develop partnerships with third party logistics providers, system integrators, and technology partners that create repeatable deployment paths Represent LG in industry associations, consortiums, and trade events to generate qualified opportunities Commercial Execution Work with Technical Sales Engineers and Engineering to scope solutions, prepare RFI and RFQ responses, and confirm technical feasibility before any commitment is made to a customer Operate within the company's pricing, contracting, and commercial approval framework Hand off awarded programs to Program Management with complete scope, schedule, and commercial documentation Qualifications: Education Bachelor's degree in Engineering, Business, or related field Experience 7+ years in business development or solution sales in industrial automation, robotics, material handling, or smart factory solutions Proven record of opening new enterprise customers and closing capital equipment or automation programs with extended sales cycles Experience selling to plant operations, manufacturing engineering, and procurement in discrete manufacturing or logistics environments Experience working with headquarters engineering or product organizations in a global company (preferred) Skills & Competencies Executive presence and the ability to translate automation value into operational and financial terms for plant and corporate decision makers Self directed pipeline builder, comfortable operating as an individual contributor within a small, growing team Strong knowledge of manufacturing automation, robotics, simulation, and digital transformation Frequent domestic travel to customer sites and industry events #LI-DR1 Recruiting Range $80,000 — $115,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Spain, Remote Workplace: remote Introduction to the Team & Role What if your team was the one that got to show how an AI-native company runs — and tried it on itself first?   GTM Systems team owns the tools that sales, marketing, customer success and services run on (Salesforce, Marketo, data enrichment) and the AI agents, automations and knowledge layer built on top of them. Our mission: take repetitive work off GTM teams so they can spend their time on customers and decisions.   We already have a high-performing team, mature systems, extensive documentation, and an ambitious AI vision. An AI and Systems Architect, who sits in the team, owns the technical foundations of our AI stack and Salesforce. Now we need a hands-on leader who turns business needs into shipped AI use cases on top of them.   You'll work closely with GTM leaders, operators, data teams, engineering to turn ambiguous business problems into reliable, scalable products. You'll partner with each team to define the target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there.   This is a high-impact role for someone who loves working at the intersection of AI, operations, systems and go-to-market strategy. Key Responsibility Areas Build and own the portfolio of AI use cases for the whole GTM with your team, from identifying the business case to building, adoption and ROI, in partnership with Data and Enablement. Own one functional scope end to end, such as Customer Success or Professional Services: learn how the team works, map its processes, design the solution and build the agents and automations yourself Own the long-term design of the GTM stack — CRM, marketing automation, CS tooling — deciding what to build vs. buy. Help the company prioritize by identifying the best solution to each business problem and sizing its cost and feasibility. Lead and coach 3 senior ICs across Salesforce, marketing/BDR, CS systems Set a high bar for documentation, testing and deployment — and hold it without slowing the team down. Work hand in hand with the AI and Systems Architect, who owns the technical design, tool choices and standards: bring the business needs, challenge the design and build within those standards. Drive adoption and change management for new GTM capabilities across distributed teams. What You'll Do Within 1 month, you will: Know the team, the stack, and the cross-functional leaders and teams you’ll partner with. Understand the main business challenges and opportunities for each GTM function. Own the team's current quarterly objectives and the routines that keep them visible. Within 3 months, you will: Have audited one GTM function end to end and shipped a first AI use case with its business owner. Have a first GTM AI roadmap, agreed with the stakeholders and the team. Have taken one major cross-functional change from plan to done. Have mapped your functional scope end to end and shipped a first AI use case with its business owner. Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan. Within 6 months, you will: Have each team member working from a roadmap you challenged and helped build. Have shipped at least one agent that watches business data and reaches people on its own, with outcome measures agreed before launch. Within 12 months, you will: Show, in numbers, the capacity the commercial organization reinvested because of what the team built. Have the team recognized as the company's reference for AI-native operations, with a development path agreed with each member. The Skill Set Must have GTM fluency: you know how sales, marketing, customer success and professional services work day to day (their processes, metrics and tools) and you speak each team's language. 4+ years in consulting, in a strategy and operations role or as a product manager at a tech company, where you mapped and challenged business processes, built roadmaps and drove them through with senior stakeholders. You audit a process, tell whether it's any good, and judge where AI and automation create value, and where they don't. A real appetite for systems, tooling and AI: you are at ease with GTM tools (CRM, marketing automation, enrichment), you have built with AI tools on your own initiative and you keep up with new releases. You know how to coach a team: you challenge people's roadmaps and builds, help them get better, and explain complex topics clearly to non-technical people. You get stakeholders aligned and drive change through to adoption, in fast-moving environments without an established playbook. Turn ambiguous business problems into reliable, scalable tooling — you read a process, tell whether it's any good, spot where AI creates value, and judge when to automate (and when not to), across the full revenue engine. Thrive in ambiguous, fast-moving environments where the first version of the strategy has to be shaped, tested and improved quickly. Have enough technical judgment to challenge an architect's design, without owning the architecture yourself Set and hold standards for documentation, testing and deployment without slowing the team down, and coach the team with care. Fluent English (US/UK) / B2 level or equivalent (FR). Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L Nice to have Hands-on experience building agents or automations with Claude or similar tools: skills, prompts, connectors. Deep expertise in Salesforce or marketing automation tools. A background in RevOps or GTM operations. Experience managing or coaching a team. What We Offer Compensation: Package includes base salary and a variable component 📈 Benefits: Work From Home allowance, social security, health insurance, unemployment insurance, common contingency, salary guarantee fund. Leave requests are subject to local policies. Balance: Flexible hours, Total work from home possible anywhere in Spain 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process Call with the Talent Acquisition Manager Discovery Interview with the Hiring Coach (VP of Operations) Case Study with the Hiring Coach and future Team Clarification Interview with Future Direct Reports Convexity Culture  Interview Offer! Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: London, England; Remote, Europe; Remote, Asia; Remote, US Workplace: remote About us   Aave Labs began with a simple question: how do we make financial services like borrowing, saving, and earning more accessible globally?   We built the Aave Protocol, now the world’s largest and most trusted onchain lending market, connecting decentralized finance with individuals, traditional finance, and fintech.   Today, we build trusted, high-quality products that expand access to lending, credit, and savings globally   Our culture   We build trusted products that help people access and discover economic opportunities.   We hold a high bar for quality and craftsmanship. No detail is too small. Trust depends on it.   We’re a global team building products people can actually use, turning complex technology into something simple and reliable.   We stay aligned, move quickly, and think long term, while keeping teams lean and focused on impact.   About the Role Aave is looking for a Protocol Security Researcher to help build its internal protocol security function. The role sits at the intersection of smart contract security, protocol design, adversarial research, and AI-assisted review. You will help assess major protocol changes before deployment, maintain security context across Aave’s deployed systems, and reason about the risks introduced by critical dependencies, integrations, and Aave-adjacent infrastructure. This is not a narrow audit role. The goal is to improve Aave’s ability to understand and reduce protocol risk continuously. How you can make an impact: Review major Aave protocol changes before external audit or deployment Perform attacker-driven analysis of smart contracts, protocol mechanisms, and integrations Participate in design and architecture discussions early enough to influence security-relevant decisions Identify risks in Aave-adjacent systems, including assets, bridges, oracles, adapters, and critical dependencies Contribute to AI-assisted security tooling and evaluate its effectiveness in real review workflows Turn review findings into reusable knowledge, invariants, assumptions, and testing or monitoring ideas Work with monitoring and incident response teams when review findings imply operational detection or response needs Collaborate with external auditors by helping define scope, known risks, and areas of concern Let's connect if you have: 5+ years of relevant security experience Strong smart contract security background Ability to independently review complex codebases and reason about protocol-level failure modes Attacker mindset: you can move from “this looks wrong” to “this is how it could be exploited” Strong understanding of DeFi mechanisms, including lending, liquidations, accounting, oracles, collateral, governance, and integrations Evidence that you are actively using AI to improve security research, review quality, or review throughput Clear written communication: you can explain risk, impact, uncertainty, and trade-offs to engineers and non-security stakeholders Good judgment about severity, exploitability, and when a finding matters Nice to haves: Experience with formal methods, fuzzing, invariant testing, or custom security tooling Experience building internal tools for security review, code understanding, or knowledge management Experience working with external audit firms or leading audit engagements Familiarity with governance payloads, upgrade systems, permissioning, and incident response Open-source security research, published findings, CTFs, bug bounties, or prior public vulnerability research Haven’t quite met all the criteria? Let’s not miss out on the chance to speak. Whilst you might not meet every single requirement, you might bring other, more exciting skills to the companies!   Equal opportunities statement:   Aave Labs celebrates diversity and views each and every team member as a separate individual with their own unique identity. No matter your race, religion, gender, ethnicity, age, disability, sexual orientation or even the wallet you use, we welcome you at Aave Labs. As an equal opportunities employer, we take accountability and believe in everyone's potential to build, create and inspire changes. With a mission to build a diverse workforce, we are proud to foster a working environment in which everyone can feel safe and valued for who they are.

Location: London, Remote Workplace: remote Introduction to the Team & Role What if your team was the one that got to show how an AI-native company runs — and tried it on itself first?   GTM Systems team owns the tools that sales, marketing, customer success and services run on (Salesforce, Marketo, data enrichment) and the AI agents, automations and knowledge layer built on top of them. Our mission: take repetitive work off GTM teams so they can spend their time on customers and decisions.   We already have a high-performing team, mature systems, extensive documentation, and an ambitious AI vision. An AI and Systems Architect, who sits in the team, owns the technical foundations of our AI stack and Salesforce. Now we need a hands-on leader who turns business needs into shipped AI use cases on top of them.   You'll work closely with GTM leaders, operators, data teams, engineering to turn ambiguous business problems into reliable, scalable products. You'll partner with each team to define the target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there.   This is a high-impact role for someone who loves working at the intersection of AI, operations, systems and go-to-market strategy. Key Responsibility Areas Build and own the portfolio of AI use cases for the whole GTM with your team, from identifying the business case to building, adoption and ROI, in partnership with Data and Enablement. Own one functional scope end to end, such as Customer Success or Professional Services: learn how the team works, map its processes, design the solution and build the agents and automations yourself Own the long-term design of the GTM stack — CRM, marketing automation, CS tooling — deciding what to build vs. buy. Help the company prioritize by identifying the best solution to each business problem and sizing its cost and feasibility. Lead and coach 3 senior ICs across Salesforce, marketing/BDR, CS systems Set a high bar for documentation, testing and deployment — and hold it without slowing the team down. Work hand in hand with the AI and Systems Architect, who owns the technical design, tool choices and standards: bring the business needs, challenge the design and build within those standards. Drive adoption and change management for new GTM capabilities across distributed teams. What You'll Do Within 1 month, you will: Know the team, the stack, and the cross-functional leaders and teams you’ll partner with. Understand the main business challenges and opportunities for each GTM function. Own the team's current quarterly objectives and the routines that keep them visible. Within 3 months, you will: Have audited one GTM function end to end and shipped a first AI use case with its business owner. Have a first GTM AI roadmap, agreed with the stakeholders and the team. Have taken one major cross-functional change from plan to done. Have mapped your functional scope end to end and shipped a first AI use case with its business owner. Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan. Within 6 months, you will: Have each team member working from a roadmap you challenged and helped build. Have shipped at least one agent that watches business data and reaches people on its own, with outcome measures agreed before launch. Within 12 months, you will: Show, in numbers, the capacity the commercial organization reinvested because of what the team built. Have the team recognized as the company's reference for AI-native operations, with a development path agreed with each member. The Skill Set Must have GTM fluency: you know how sales, marketing, customer success and professional services work day to day (their processes, metrics and tools) and you speak each team's language. 4+ years in consulting, in a strategy and operations role or as a product manager at a tech company, where you mapped and challenged business processes, built roadmaps and drove them through with senior stakeholders. You audit a process, tell whether it's any good, and judge where AI and automation create value, and where they don't. A real appetite for systems, tooling and AI: you are at ease with GTM tools (CRM, marketing automation, enrichment), you have built with AI tools on your own initiative and you keep up with new releases. You know how to coach a team: you challenge people's roadmaps and builds, help them get better, and explain complex topics clearly to non-technical people. You get stakeholders aligned and drive change through to adoption, in fast-moving environments without an established playbook. Turn ambiguous business problems into reliable, scalable tooling — you read a process, tell whether it's any good, spot where AI creates value, and judge when to automate (and when not to), across the full revenue engine. Thrive in ambiguous, fast-moving environments where the first version of the strategy has to be shaped, tested and improved quickly. Have enough technical judgment to challenge an architect's design, without owning the architecture yourself Set and hold standards for documentation, testing and deployment without slowing the team down, and coach the team with care. Fluent English (US/UK) / B2 level or equivalent (FR). Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L Nice to have Hands-on experience building agents or automations with Claude or similar tools: skills, prompts, connectors. Deep expertise in Salesforce or marketing automation tools. A background in RevOps or GTM operations. Experience managing or coaching a team. What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process Call with the Talent Acquisition Manager Discovery Interview with the Hiring Coach (VP of Operations) Case Study with the Hiring Coach and future Team Clarification Interview with Future Direct Reports Convexity Culture  Interview Offer! Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Berlin, Remote Workplace: remote Introduction to the Team & Role What if your team was the one that got to show how an AI-native company runs — and tried it on itself first?   GTM Systems team owns the tools that sales, marketing, customer success and services run on (Salesforce, Marketo, data enrichment) and the AI agents, automations and knowledge layer built on top of them. Our mission: take repetitive work off GTM teams so they can spend their time on customers and decisions.   We already have a high-performing team, mature systems, extensive documentation, and an ambitious AI vision. An AI and Systems Architect, who sits in the team, owns the technical foundations of our AI stack and Salesforce. Now we need a hands-on leader who turns business needs into shipped AI use cases on top of them.   You'll work closely with GTM leaders, operators, data teams, engineering to turn ambiguous business problems into reliable, scalable products. You'll partner with each team to define the target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there.   This is a high-impact role for someone who loves working at the intersection of AI, operations, systems and go-to-market strategy. Key Responsibility Areas Build and own the portfolio of AI use cases for the whole GTM with your team, from identifying the business case to building, adoption and ROI, in partnership with Data and Enablement. Own one functional scope end to end, such as Customer Success or Professional Services: learn how the team works, map its processes, design the solution and build the agents and automations yourself Own the long-term design of the GTM stack — CRM, marketing automation, CS tooling — deciding what to build vs. buy. Help the company prioritize by identifying the best solution to each business problem and sizing its cost and feasibility. Lead and coach 3 senior ICs across Salesforce, marketing/BDR, CS systems Set a high bar for documentation, testing and deployment — and hold it without slowing the team down. Work hand in hand with the AI and Systems Architect, who owns the technical design, tool choices and standards: bring the business needs, challenge the design and build within those standards. Drive adoption and change management for new GTM capabilities across distributed teams. What You'll Do Within 1 month, you will: Know the team, the stack, and the cross-functional leaders and teams you’ll partner with. Understand the main business challenges and opportunities for each GTM function. Own the team's current quarterly objectives and the routines that keep them visible. Within 3 months, you will: Have audited one GTM function end to end and shipped a first AI use case with its business owner. Have a first GTM AI roadmap, agreed with the stakeholders and the team. Have taken one major cross-functional change from plan to done. Have mapped your functional scope end to end and shipped a first AI use case with its business owner. Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan. Within 6 months, you will: Have each team member working from a roadmap you challenged and helped build. Have shipped at least one agent that watches business data and reaches people on its own, with outcome measures agreed before launch. Within 12 months, you will: Show, in numbers, the capacity the commercial organization reinvested because of what the team built. Have the team recognized as the company's reference for AI-native operations, with a development path agreed with each member. The Skill Set Must have GTM fluency: you know how sales, marketing, customer success and professional services work day to day (their processes, metrics and tools) and you speak each team's language. 4+ years in consulting, in a strategy and operations role or as a product manager at a tech company, where you mapped and challenged business processes, built roadmaps and drove them through with senior stakeholders. You audit a process, tell whether it's any good, and judge where AI and automation create value, and where they don't. A real appetite for systems, tooling and AI: you are at ease with GTM tools (CRM, marketing automation, enrichment), you have built with AI tools on your own initiative and you keep up with new releases. You know how to coach a team: you challenge people's roadmaps and builds, help them get better, and explain complex topics clearly to non-technical people. You get stakeholders aligned and drive change through to adoption, in fast-moving environments without an established playbook. Turn ambiguous business problems into reliable, scalable tooling — you read a process, tell whether it's any good, spot where AI creates value, and judge when to automate (and when not to), across the full revenue engine. Thrive in ambiguous, fast-moving environments where the first version of the strategy has to be shaped, tested and improved quickly. Have enough technical judgment to challenge an architect's design, without owning the architecture yourself Set and hold standards for documentation, testing and deployment without slowing the team down, and coach the team with care. Fluent English (US/UK) / B2 level or equivalent (FR). Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L Nice to have Hands-on experience building agents or automations with Claude or similar tools: skills, prompts, connectors. Deep expertise in Salesforce or marketing automation tools. A background in RevOps or GTM operations. Experience managing or coaching a team. What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits: Work From Home perks, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, Total work from home possible anywhere in Germany 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process Call with the Talent Acquisition Manager Discovery Interview with the Hiring Coach (VP of Operations) Case Study with the Hiring Coach and future Team Clarification Interview with Future Direct Reports Convexity Culture  Interview Offer! Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance. WHOOP empowers its members to perform at a high level by providing a deep understanding of the interactions between their unique physiology and chosen behaviors. As a Program Manager at WHOOP, you will be a critical member of the team that develops the next generation of models that will power the features we can provide to members. This role sits at the intersection of machine learning, data science, sensor intelligence, platform engineering, and product, and is responsible for translating complex technical work into clear plans, dependencies, and outcomes to ensure projects are delivered on time, aligned to strategy, and built for scale. Success in this role will require a high degree of adaptability and a solutions mindset, ability to simplify complexity, while continuously managing shifting priorities. Foundation AI capabilities are critical to our ability to innovate quickly and responsibly. This role ensures that the underlying systems powering our features are delivered thoughtfully, reliably, and in a way that unlocks impact across the entire organization. RESPONSIBILITIES: - Drive Foundation AI projects from kickoff through development to deployment and stabilization - Support the VP of Foundation AI to translate strategy into executable roadmaps with clear milestones, risks, dependencies, and success metrics - Develop project plans consistent with business goals and requirements for algorithm performance - Establish and maintain program governance, including planning cadences, status reporting, decision forums, and executive communication - Work with the FAI team, Data Science, Sensor Intelligence, WHOOP Labs, Data Engineering, Software, Firmware to ensure project objectives and priorities are aligned across departments - Bring together key stakeholders to facilitate timely and lasting decision-making - Partner with the extended team on compute infrastructure planning, focusing on availability constraints, capacity forecasting, vendor quotes/lead times, and tradeoffs across vendors. - Partner with the broader RAD program management team to continuously improve the development process to enable execution of projects in an organized, methodical, and predictable manner. - Identify and manage project risks and issues, ensuring mitigations are in place to reduce potential impacts. - Facilitate cross-functional communication across WHOOP for awareness and understanding. - Understanding of technical issues to facilitate resolution of project blockers is a plus QUALIFICATIONS: - 2+ years of industry experience in program or project management, preferably involving AI/ML, data platforms or large-scale systems - Experience working with AI or applied ML teams - Familiarity with agile methodologies, sprint planning, backlog grooming processes - Data-driven approach to strategic planning, comfortable reviewing metrics and identifying ways to measure program success - Familiarity with AI/ML concepts (e.g., model training, inference, data pipelines, evaluation, experimentation), hands-on coding experience is not required - Clear, confident communicator who can bridge deeply technical teams and business stakeholders - Proven ability to influence without authority and drive alignment across diverse teams - Nice to Have: - Experience working with research teams - Background in consumer technology, platforms, or data-driven products - Experience organizing projects using Jira or similar platforms This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $$125,000-$175,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Paris, Remote Workplace: remote Introduction to the Team & Role What if your team was the one that got to show how an AI-native company runs — and tried it on itself first?   GTM Systems team owns the tools that sales, marketing, customer success and services run on (Salesforce, Marketo, data enrichment) and the AI agents, automations and knowledge layer built on top of them. Our mission: take repetitive work off GTM teams so they can spend their time on customers and decisions.   We already have a high-performing team, mature systems, extensive documentation, and an ambitious AI vision. An AI and Systems Architect, who sits in the team, owns the technical foundations of our AI stack and Salesforce. Now we need a hands-on leader who turns business needs into shipped AI use cases on top of them.   You'll work closely with GTM leaders, operators, data teams, engineering to turn ambiguous business problems into reliable, scalable products. You'll partner with each team to define the target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there.   This is a high-impact role for someone who loves working at the intersection of AI, operations, systems and go-to-market strategy. Key Responsibility Areas Build and own the portfolio of AI use cases for the whole GTM with your team, from identifying the business case to building, adoption and ROI, in partnership with Data and Enablement. Own one functional scope end to end, such as Customer Success or Professional Services: learn how the team works, map its processes, design the solution and build the agents and automations yourself Own the long-term design of the GTM stack — CRM, marketing automation, CS tooling — deciding what to build vs. buy. Help the company prioritize by identifying the best solution to each business problem and sizing its cost and feasibility. Lead and coach 3 senior ICs across Salesforce, marketing/BDR, CS systems Set a high bar for documentation, testing and deployment — and hold it without slowing the team down. Work hand in hand with the AI and Systems Architect, who owns the technical design, tool choices and standards: bring the business needs, challenge the design and build within those standards. Drive adoption and change management for new GTM capabilities across distributed teams. What You'll Do Within 1 month, you will: Know the team, the stack, and the cross-functional leaders and teams you’ll partner with. Understand the main business challenges and opportunities for each GTM function. Own the team's current quarterly objectives and the routines that keep them visible. Within 3 months, you will: Have audited one GTM function end to end and shipped a first AI use case with its business owner. Have a first GTM AI roadmap, agreed with the stakeholders and the team. Have taken one major cross-functional change from plan to done. Have mapped your functional scope end to end and shipped a first AI use case with its business owner. Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan. Within 6 months, you will: Have each team member working from a roadmap you challenged and helped build. Have shipped at least one agent that watches business data and reaches people on its own, with outcome measures agreed before launch. Within 12 months, you will: Show, in numbers, the capacity the commercial organization reinvested because of what the team built. Have the team recognized as the company's reference for AI-native operations, with a development path agreed with each member. The Skill Set Must have GTM fluency: you know how sales, marketing, customer success and professional services work day to day (their processes, metrics and tools) and you speak each team's language. 4+ years in consulting, in a strategy and operations role or as a product manager at a tech company, where you mapped and challenged business processes, built roadmaps and drove them through with senior stakeholders. You audit a process, tell whether it's any good, and judge where AI and automation create value, and where they don't. A real appetite for systems, tooling and AI: you are at ease with GTM tools (CRM, marketing automation, enrichment), you have built with AI tools on your own initiative and you keep up with new releases. You know how to coach a team: you challenge people's roadmaps and builds, help them get better, and explain complex topics clearly to non-technical people. You get stakeholders aligned and drive change through to adoption, in fast-moving environments without an established playbook. Turn ambiguous business problems into reliable, scalable tooling — you read a process, tell whether it's any good, spot where AI creates value, and judge when to automate (and when not to), across the full revenue engine. Thrive in ambiguous, fast-moving environments where the first version of the strategy has to be shaped, tested and improved quickly. Have enough technical judgment to challenge an architect's design, without owning the architecture yourself Set and hold standards for documentation, testing and deployment without slowing the team down, and coach the team with care. Fluent English (US/UK) / B2 level or equivalent (FR). Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L Nice to have Hands-on experience building agents or automations with Claude or similar tools: skills, prompts, connectors. Deep expertise in Salesforce or marketing automation tools. A background in RevOps or GTM operations. Experience managing or coaching a team. What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process Call with the Talent Acquisition Manager Discovery Interview with the Hiring Coach (VP of Operations) Case Study with the Hiring Coach and future Team Clarification Interview with Future Direct Reports Convexity Culture  Interview Offer! Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: United Kingdom (Hybrid); United Kingdom (Remote); Spain; Netherlands Workplace: Hybrid Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 Meet the team 👥 Here at Cleo, we have ~45 ML engineers ✨ They are the builders behind the AI that powers our product. They design experiments, create models that personalise financial insights, deploy fraud detection systems and scale our conversational AI, making sure that what we build genuinely helps people feel better about their money. From shaping product features and building the models that personalise our users' money journeys, to tackling fraud, scaling our systems and giving leaders the insights they need, our data team is at the heart of it all.   About the role ✍️ We're hiring a Machine Learning Tech Lead to take on technical leadership and ownership of the Payments Intelligence team, managing a team of circa 4 MLEs. This team is responsible for optimising Cleo's payments systems - covering both credit collections and subscription retention - a workstream with a direct impact on the company's financial performance. You'll work closely with your cross-functional squad to understand business issues, then use your ML engineering skills to deploy best-in-class models that move the bottom line. - Lead and manage a team of 4 MLEs - Deploy machine learning models into production - classifiers, payments recommendation systems, and any other model that can have impact, typically working with tabular data rather than language models - Collaborate with product managers, backend engineers, and analysts, playing an active role in planning and sequencing work for the squad - Work closely with engineers to make sure the right data is collected to build future machine learning models What we're looking for 🕵 - At least 5 years of experience in data science, ML engineering, or related roles - At least 1 year of management experience, ideally of a small team - Ability to write production-quality Python code - Experience deploying machine learning models into production - Track record in payments, pricing, risk decisioning, or other business process optimisation problems - Comfortable with complexity, and developing a holistic understanding of a system in order to propose and build solutions - A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner - Nice to have: experience with credit collections WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: PL Workplace: remote Overview: SOFTSWISS is hiring a Senior SOC Detection Engineer to join our Security Operations team. We are seeking a hands-on security professional to help build and develop our detection engineering function, strengthening the company’s ability to identify, investigate, and respond to security threats across Windows, Linux, and Kubernetes environments. Purpose of the role: You will be responsible for owning the full lifecycle of security detections, from researching attack techniques and defining logging requirements to developing, testing, deploying, and continuously improving detection content in Splunk. Your work will help enhance detection coverage, improve telemetry quality, reduce false positives, and ensure that security teams can reliably identify and respond to real threats. Key responsibilities: Develop, test, deploy, and maintain detection and correlation rules in Splunk or a similar SIEM. Translate incident investigations, threat hunting, and attack research into effective detections. Analyze false positives, false negatives, and detection gaps. Improve detection coverage and map detections to MITRE ATT&CK techniques. Develop and optimize SPL queries, dashboards, reports, and risk-based detections. Define requirements for logging, parsing, normalization, enrichment, and data quality. Develop monitoring and health checks for detection rules and data sources. Contribute to automated detection testing, synthetic events, telemetry replay, and CI/CD workflows. Participate in incident investigations, threat hunting, purple team exercises, and attack emulation. Collaborate with SOC, Incident Response, Threat Intelligence, Infrastructure, and Engineering teams. Document detection logic, data sources, dependencies, limitations, and expected behavior. Required Experience: Strong hands-on experience in SOC, Detection Engineering, Threat Hunting, Incident Response, or a related field. Deep understanding of MITRE ATT&CK, common attack techniques, and detection methodologies. Strong proficiency in Splunk SPL or another enterprise SIEM platform. Experience developing complex queries, correlations, dashboards, and reports. Practical experience tuning detections and managing exceptions and allowlists. Ability to define and evaluate logging and telemetry requirements. Proficiency in Python, PowerShell, or Bash for automation. Experience with Git, code reviews, APIs, and basic CI/CD practices. Understanding of Windows and Linux security monitoring. Ability to independently investigate complex problems and drive solutions to completion. Strong communication skills and the ability to work effectively across teams. Nice to have: Experience with Splunk Enterprise Security, CIM, data models, macros, and lookups. Experience with Sysmon, Windows security auditing, Active Directory, auditd, osquery, Tetragon, Docker, or Kubernetes. Experience with YARA, CALDERA, Shuffle, or other security automation and attack emulation tools. Experience building detection quality metrics and automated validation frameworks. Experience with Terraform, Ansible, or other infrastructure-as-code tools. Participation in security research, conferences, or the broader security community. Our technology focus: Splunk Enterprise Security, MITRE ATT&CK, Windows and Linux telemetry, Kubernetes and container logs, Python, PowerShell, Bash, Git, and CI/CD. Learn more about our hiring process here ( link ) – what to expect, how to prepare, and what makes SOFTSWISS different. Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

Location: Bulgaria, Poland Design, build, and optimize enterprise-grade solutions across a Salesforce ecosystem. Own end-to-end technical delivery: from detailed solution design and scalable development to deployment, integration enhancements, and production support, while continuously improving existing functionality as business needs evolve. Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers. What You’ll Do Analyze and validate business, functional, and technical requirements to define effective solution approaches Provide technical guidance and mentorship to team members, ensuring adherence to Salesforce best practices and CCC-approved design standards Design, build, and deploy high-performance, scalable solutions across the Salesforce ecosystem Collaborate with Salesforce developers, ETL teams, Business Analysts, and cross-functional partners to deliver cohesive end-to-end solutions Evaluate existing systems to identify improvement opportunities and recommend changes that align with business objectives Troubleshoot and resolve complex system issues, performing detailed root-cause analysis and driving timely resolution Assess requirements and provide recommendations on scope, development effort, and technical feasibility Research, evaluate, and introduce new tools, technologies, and best practices to continuously enhance solution quality Perform architecture, design, and code reviews to ensure maintainable and scalable implementations Participate in sprint planning, project planning, release coordination, and Agile ceremonies Provide regular updates during daily Scrum meetings and status reporting What You Bring Extensive hands-on Salesforce development experience with strong proficiency in core platform capabilities Preferred certifications: Platform Developer I & II, Administrator, Advanced Administrator, Sales Cloud, and Service Cloud Deep expertise in Sales Cloud, Service Cloud, and overall platform architecture—including data modeling, security, and automation frameworks Advanced experience with Apex triggers, Apex classes, Lightning Web Components (LWC), Aura components, Visualforce, Batch Apex, Queueable Apex, Flows, and REST/SOAP integrations (JSON & XML) Strong troubleshooting skills with the ability to diagnose and resolve production issues including automation failures, Apex exceptions, and integration errors Thorough understanding of Force.com framework, governor limits, integration patterns, and Salesforce design best practices Comprehensive knowledge of Salesforce security/sharing models, custom object/field configuration, data management, workflows, validation rules, page layouts, and integration troubleshooting English Language Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the indexing and data processing layer of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that ingest, process, and organise massive volumes of data into efficient, queryable structures. You will work primarily on offline and nearline pipelines, ensuring that data is fresh, complete, and efficiently accessible by downstream retrieval systems. You will operate in an environment where throughput, scalability, and correctness are critical; designing systems capable of handling tens of gigabytes per second across continuously evolving datasets. In this position, your responsibility will be to: Design, implement, and operate large-scale indexing systems and data pipelines that sit at the core of our search infrastructure Develop and optimise indexing strategies balancing performance, freshness, and resource efficiency Work on storage formats, compaction strategies, and update mechanisms to keep data accessible and current Ensure reliability and predictability of pipelines under high-throughput conditions Build well-tested components with clear responsibilities and interaction contracts, while remaining flexible as the system evolves Define and implement observability primitives, including structured logs, metrics, and data quality signals across offline and nearline pipelines Monitor throughput, resource usage, and cost, and drive optimisations when business needs require it Collaborate with runtime and ML teams to ensure indexing outputs meet retrieval and ranking requirements Enable safe experimentation on indexing strategies and data processing logic through controlled rollouts and clearly defined quality signals You may be a good fit if you: 8+ years of experience building production backend or data infrastructure systems Strong Go experience (C++/Rust is a plus) Experience with large-scale data processing systems (10+ GiB/sec throughput, petabyte-scale datasets, etc.) Experience building or operating databases, storage systems, data planes, or indexing pipelines Strong understanding of distributed systems, fault tolerance, consistency, and scalability Experience running production systems and handling operational incidents Systems-thinking mindset and ability to reason about end-to-end data flows Strong candidates may also have experience with: Distributed data processing frameworks such as Spark, Flink, MapReduce, or Beam Content systems including, scraping, proxying, or anti-bot infrastructure Ad tech, social networks, or other large-scale content platforms DBMS internals (open source or SaaS) and cloud infrastructure Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation (ICPC, IOI, or similar) SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Senior Software Engineer to work on the rendering infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on loading modern web pages in a browser that we patch and build ourselves, so that content is rendered completely and reliably at a cost that works across billions of pages. You will work inside Chromium to remove what we do not need, make the rest faster and cheaper, and keep our build current as Chromium moves. Your work ensures that high-quality content is consistently available to the indexing and retrieval systems downstream. In this position, your responsibility will be to Change Chromium in its heavy core (Blink, the V8 integration, the compositor, the network service) to cut CPU, memory and startup cost per page Strip Chromium down for agent workloads: skip what nobody needs, such as image and media decoding, web font downloads, and rasterization and GPU work where no one needs pixels, while keeping what page scripts depend on to run correctly (style, layout, animation frames, observers), and work out what breaks, or renders differently, when you do Keep the browser compatible with the web: make sure that what we remove does not change how the sites we load behave or render Profile and tune fleets of browsers: the process model, memory per renderer, startup, isolation and crash handling Build the production system around it: how browsers are launched, pooled, recycled and monitored You may be a good fit if you Have 5+ years of experience building production systems, and are an expert in several of the following areas. Inside the browser Strong C++ in a large, performance-critical codebase, ideally Chromium, Blink or V8, or a comparable browser engine (Rust is a plus) Chromium architecture: the process model, Mojo IPC, the rendering pipeline (DOM, style, layout, paint, compositing), and the network service Building, debugging and shipping custom Chromium builds: the build system, tracing, crash analysis, and maintaining patches across releases Performance and systems Profiling CPU, memory and I/O for browser fleets, with tools such as perf, tracing and flame graphs Linux process isolation and resource management, concurrency, and memory management Have run browsers in production, or built the infrastructure that does, and can describe where the time and memory went Strong candidates may also have experience with Contributions to Chromium, Blink, V8, Firefox, WebKit or another browser engine Building or maintaining a patched browser that you wrote the patches for Browser instrumentation, including the Chrome DevTools Protocol Working familiarity with how modern frontend frameworks render (SSR, CSR, streaming, hydration) Distributed systems, Kubernetes, and Go or Python The kind of problems you will work on Cut the cost of loading a page in half. Where do CPU and memory go, and what would you change in the browser? Turn off the GPU and image decoding for agent workloads. What breaks, and what changes in how pages load and render? A page runs a script that never yields. How do we detect and stop it without help from the page? Chromium ships a new version. How do we bring a large set of patches forward in days, not weeks? Decide when a page is finished, for pages with analytics beacons, long polling and endless scrolling. We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.