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Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Corporate Security at Ramp owns the security of our internal environment: the device fleet, the identity and access layer, and the AI tools employees use for their work. We are hiring a Systems Engineer to build and operate the controls across these systems. The role is hands-on, writing code and building agentic loops wherever possible rather than solving problems manually. You will help manage device configuration and patching via configuration-as-code, authentication and authenticator policies in Okta, network and gateway enforcement in Cloudflare, and the controls around our enterprise Claude and OpenAI deployments. These systems overlap heavily in practice, and the work is largely about integrating them and automating what would otherwise be manual administration. You will report to the Corporate Security lead and work closely with IT, Security Engineering, and AI DevX. WHAT YOU'LL DO - Maintain update policies for both OS and software, and monitor the fleet so that newly introduced applications are brought into the patching cadence - Build automation for endpoint security agent remediation across EDR, DLP, VPN, and similar tooling — detecting missing, stale, or unhealthy agents and bringing devices back into compliance - Maintain device configuration baselines as code, including drift detection and hardening standards - Configure authentication and authenticator policies in Okta: SSO, MFA and authenticator enrollment, device trust, and conditional access - Remediate identity posture gaps surfaced by ISPM tooling: stale accounts, orphaned service principals, over-scoped OAuth grants, MFA gaps, and excess privileges - Implement and operate controls for enterprise AI usage, including identity-aware access, logging and retention, DLP where appropriate, and enforcement - Automate across these platforms using their APIs, build reporting on control coverage, and document how the controls you build are operated WHAT YOU NEED - 3–5 years of experience in Client Platform Engineer/Endpoint Engineering, Identity Access & Management, or Corporate Security - Hands-on macOS management at scale: MDM (Jamf, Fleet, Kandji, or equivalent) and macOS update mechanisms - Working knowledge of an identity provider (Okta or similar): SSO, authentication and authenticator policies, SCIM provisioning, and conditional access - Scripting ability in Python, Go, or Bash, and experience automating against platform APIs - Experience with EDR and endpoint vulnerability management (CrowdStrike or similar) - Ability to evaluate tradeoffs between technical enforcement, policy, and user friction, and to explain those tradeoffs clearly NICE TO HAVE - osquery and Fleet, or other query-based fleet visibility tooling - Identity posture management (ISPM) tooling, or access review and governance platforms - Cloudflare Zero Trust, or other proxy, DNS, or network-layer enforcement, including TLS inspection - Exposure to AI and LLM security concerns: agent authorization, tool calls, model gateways, data leakage through AI tooling - Infrastructure-as-code and CI/CD experience (Terraform, GitHub Actions) - Windows fleet management alongside macOS - Compliance frameworks (SOC 2, PCI) as they apply to endpoints and access BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: As Notion’s product surface expands, we need a builder-teacher who can turn new capabilities into technically accurate education that helps customers confidently build with Notion. In this role, you’ll explore Notion’s newest capabilities, teach by showing, and ship as the product evolves. You’ll be the technical face of Notion Academy: leading workshops, recording walkthroughs, and building implementation guides.   This role is based in New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Expand Notion’s technical education library. Author technically rigorous Academy content, implementation guides, and Help Center resources that make our most complex capabilities easier to understand and adopt. - Become a trusted voice for Notion Academy. Teach customers through video, live webinars, and workshops, demonstrating real workflows and solving problems in real time. - Build with Notion’s newest capabilities. Get hands-on with new product features, use customer insights to identify high-value use cases, and determine top priority workflows for education to focus on. - Reimagine learning with AI. Experiment with adaptive, contextual learning experiences that respond to what customers are trying to build and where they need help. - Prove and scale the impact of technical education. Use product adoption signals to measure impact and improve what we teach, then build reusable standards to help the team deliver effective technical learning faster. SKILLS YOU'LL NEED TO BRING: - Builder mindset: You learn new product features by getting hands-on, experimenting, and building until you understand. - Comfort navigating technical content: you don’t need to write code, but you can read a technical architecture doc, identify what’s outdated, and work with engineers to fix it. - Customer-facing credibility: You’re comfortable teaching, building, and troubleshooting in front of customers. - AI experimentation: You actively use AI to build, learn, and teach technical proficiency. - Product expertise: You can quickly understand a new feature, identify where it creates meaningful customer value, and turn that into practical use cases. NICE TO HAVES: - Notion product expertise - Experience in a customer-facing technical role, such as solutions architecture, sales engineering, developer relations, or technical enablement Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in New York City, the estimated base salary range for this role is $135,000 - $180,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As an Applied AI Engineer, your mission is to make Mistral AI-native from the inside. You lead the design and delivery of production-grade AI systems in rapid cycles, building the iconic use case for multiple department (eg: GTM, HR, Engineering, Finance, ect) in your portfolio. You sit where product, engineering and the business overlap, turning advanced technology into real-world solutions that move a metric. You translate complex, often ambiguous business requirements into engineered solutions that work at scale. You act as the technical lead for your departments and contribute as an Individual contributor you guide the technical choices, build the solution end to end, drive adoption, and keep improving it. Your goal is to build clients trust, and deliver high ROI solutions, not a hit-and-run POC. WHAT YOU WILL DO - Run discovery with department heads and key users, map their workflows, and turn ambiguous needs into a prioritized use-case backlog with clear expected value. - Deliver end to end: design and ship production-grade full-stack apps (Python/FastAPI, React) and AI systems, from scoping through deployment and adoption. - Encode business rules, KPIs and ROI metrics as durable datalake assets and app logic, so your departments run on trustworthy, observable data. - Dogfood the latest Mistral products as a first internal user, and turn what you learn into credible product feedback that shapes the roadmap. - Own architecture for your surface: keep it scalable, secure and observable, with a high bar on clean code. - Spot patterns across departments and lift one-off solutions into reusable building blocks. WHAT WE'RE LOOKING FOR - At least 3 years building and deploying production AI software. - Strong full-stack engineer: Python/TypeScript, scalable backends (FastAPI/Node), and enough frontend (React/Vue) to ship a usable app yourself. - Hands-on with modern GenAI use cases: RAG, agents, workflows, orchestration and evaluation. - Strong command of vibe-coding tools, paired with genuine care for clean code and architecture: speed without slop. - Strong ownership and a bias for delivery. This is made for high-velocity engineers who already have experience. - Fluent in AI-native tools (Slack, Linear, etc.). - Passionate about solving customer problems. Here, your customers are Mistral's own teams. - Excellent communication in fluent English: you can explain a technical idea to a lawyer, a marketer and a staff engineer in the same afternoon. NICE TO HAVE - Exposure to Legal, Public Affairs, Marketing or Compute/Infra domains, or a track record of getting fluent in an unfamiliar domain fast. - Data engineering or analytics experience (warehouse modeling, dbt, dashboards). - Contributions to open-source projects, especially around LLMs. - A builder's instinct for internal tooling and platform reuse. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: New York, New York, United States Artificial Intelligence Engineer - Vice President Department: Software Engineering About the Role iCapital is seeking a Vice President Artificial Intelligence Engineer to lead the design, development, and delivery of production-grade AI systems that drive measurable business outcomes across the firm. This individual will own key workstreams and serve as a technical leader, driving system design, mentoring engineers, partnering directly with business stakeholders, and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability. The ideal candidate is a seasoned engineer with a track record of shipping complex AI systems end-to-end and someone who combines deep technical expertise with strong cross-functional partnership, architectural judgment, and able to operate as a force multiplier for the team. This role is expected to bring independent judgment on a technical approach, a bias toward delivery, and able to translate ambiguous business needs into well-scoped, well-executed solutions. Responsibilities Lead the architecture and delivery of production AI systems, including document intelligence (IDP), intelligent knowledge systems, agentic orchestration, conversational AI, and generative AI applications, to power internal and external business processes, digital experiences, and workflow automation at scale. Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement, delivering tangible business outcomes with a track record of consistent, high-quality delivery. Drive technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy, and infrastructure patterns, establishing standards that raise the quality bar across the AI/ML platform. Architect and champion robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets, and enforcing strict versioning to ensure reproducibility and continuous improvement. Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly. Mentor and develop engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group. Identify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure to reduce technical debt and increase development velocity. Qualifications 7+ years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms, with a proven track record of delivering complex applications from design through production Strong proficiency in Python and software engineering best practices, including source control, CI/CD, testing, documentation, and the development of scalable, maintainable software Deep expertise building production AI solutions, including LLM applications, AI agents, retrieval-augmented generation (RAG), conversational AI, document intelligence, and agentic workflows, with hands-on experience using modern AI frameworks, tooling, and protocols such as MCP and A2A Experience designing, deploying, and operating end-to-end machine learning pipelines, including model training, deployment, monitoring, evaluation, and continuous improvement in production environments Strong foundation in statistics, experimentation, data quality, and AI system evaluation, with experience developing benchmarks, defining performance metrics, analyzing errors, and optimizing systems for accuracy, reliability, scalability, cost, and latency Experience leading technical design and architectural decisions, conducting code and design reviews, mentoring engineers, and driving engineering excellence across teams Excellent written and verbal communication skills, with the ability to document technical solutions, collaborate with cross-functional stakeholders, and communicate complex concepts to both technical and non-technical audiences Experience spanning multiple AI domains, including LLM systems, document intelligence, and ML platforms or infrastructure Experience in financial services or FinTech, particularly within document-heavy, regulated, or compliance-sensitive environments is preferred Contributions to open-source projects, technical publications, conference presentations, patents, or other demonstrated thought leadership in applied AI and machine learning is preferred Benefits The base salary range for this role is $170,000 to $210,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: New York, New York, United States Artificial Intelligence Engineer - Assistant Vice President About the Role iCapital is seeking an Assistant Vice President Artificial Intelligence Engineer to design, develop, and deliver production-grade AI systems that drive measurable business outcomes across the firm. This role is expected to bring sound judgment on technical approach, a bias toward delivery, and able to translate ambiguous business needs into well-scoped, well-executed solutions. The ideal candidate is an experienced, hands-on engineer with a track record of shipping complex AI systems end-to-end and someone who combines deep technical expertise with strong cross-functional partnership, architectural judgment, and able to operate as a force multiplier for the team. This individual will own AI projects and defined workstreams, contribute to system design and technical decisions, partnering directly with business stakeholders, and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability. Responsibilities Design and deliver production AI systems, including document intelligence (IDP), intelligent knowledge systems, agentic orchestration, conversational AI, and generative AI applications, to power internal and external business processes, digital experiences, and workflow automation at scale. Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement, delivering tangible business outcomes with a track record of consistent, high-quality delivery. Contribute to technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy, and infrastructure patterns, following and contributing to team engineering standards across the AI/ML platform. Develop and apply robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets, and enforcing strict versioning to ensure reproducibility and continuous improvement. Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly. Support and mentor junior engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group. Identify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure to reduce technical debt and increase development velocity. Qualifications 5+ years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms, with a proven track record of delivering complex applications from design through production Strong proficiency in Python and software engineering best practices, including source control, CI/CD, testing, documentation, and the development of scalable, maintainable software Deep expertise building production AI solutions, including LLM applications, AI agents, retrieval-augmented generation (RAG), conversational AI, document intelligence, and agentic workflows, with hands-on experience using modern AI frameworks and tooling Experience designing, deploying, and operating end-to-end machine learning pipelines, including model training, deployment, monitoring, evaluation, and continuous improvement in production environments Strong foundation in statistics, experimentation, data quality, and AI system evaluation, with experience developing benchmarks, defining performance metrics, analyzing errors, and optimizing systems for accuracy, reliability, scalability, cost, and latency Experience contributing to technical architecture and design discussions, conducting code and design reviews, and mentoring or supporting the growth of other engineers Excellent written and verbal communication skills, with the ability to document technical solutions, partner effectively with cross-functional stakeholders, and communicate complex concepts to both technical and non-technical audiences Experience in financial services or FinTech, particularly within document-heavy, regulated, or compliance-sensitive environments is preferred Contributions to open-source projects, technical publications, conference presentations, patents, or other demonstrated thought leadership in applied AI and machine learning is preferred Benefits The base salary range for this role is $120,000 to $170,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: United States Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365. To learn more, visit www.mattermost.com We are seeking a Senior Mobile Engineer to take ownership of the Mattermost mobile experience for teams working in defense, intelligence, and critical infrastructure. Our users operate in DDIL environments where connectivity may be disconnected, denied, intermittent, or limited, security is non-negotiable, and the software they depend on has to keep working. Our mobile app is primarily React Native and TypeScript today, with native iOS and Android integrations. Your immediate focus will be making that experience more reliable and performant. Over time, you'll also help shape the next generation of our cross-platform mobile architecture. You'll work hands-on across application and native layers, partner closely with platform and feature teams, work directly with customer-facing teams on field reports from constrained environments, and help raise the bar for how we observe, diagnose, and build mobile software. Responsibilities Reliability and Performance Architect the app for DDIL and other constrained network environments Improve data and functional reliability across connection lifecycle, synchronization, recovery, and failure scenarios Own crash-free and release-health outcomes, using telemetry to proactively identify regressions and drive them through diagnosis to resolution Profile and improve performance across startup, networking, storage, rendering, memory, and battery usage Mobile Platform Ownership Own critical iOS and Android integrations and the boundaries between native and cross-platform code Maintain and evolve platform capabilities including push notifications, background execution, secure storage, app lifecycle, and real-time communications Build within mobile distribution and device-management constraints, including App Store, enterprise and MDM deployment, AppConfig, and Intune MAM Diagnose production issues from native traces, telemetry, device profiling, and sparse field logs Make architecture recommendations that balance near-term delivery with the long-term direction of the mobile platform Craft and Delivery Mentor engineers on mobile architecture, reliability, performance, and platform best practices Uphold security and compliance standards required by government and enterprise customers Contribute to the open-source codebase Use AI coding tools effectively, applying strong engineering judgment to increase output without compromising reliability or quality What We Are Looking For We care about what you've built and the problems you've solved — not how long you've been building. If you have strong outcomes to speak to in mobile engineering, we want to hear from you. Required: Deep expertise in iOS or Android development, with strong working knowledge of the other platform Strong understanding of mobile architecture, platform SDKs, lifecycle constraints, and networking fundamentals Experience building reliable mobile systems that behave predictably through unreliable connectivity, local state changes, synchronization, and recovery Strong mobile performance profiling and production debugging skills on real devices Experience using production data, crash metrics, and release-health signals to drive reliability improvements Experience making architecture recommendations and owning technical outcomes Ability and willingness to work across native and cross-platform codebases AI fluency and experience using coding agents to increase engineering output while applying judgment to ensure reliable outcomes Preferred: Experience with React Native and TypeScript Experience with mobile persistence, synchronization, or offline-capable systems Experience with real-time communications or platform media frameworks such as WebRTC, CallKit, or Android audio APIs Experience with enterprise mobile distribution, MDM, AppConfig, or Intune MAM Experience building mobile software for security-sensitive, regulated, or operationally constrained environments Open-source contributions Why Mattermost Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership AI-forward environment: We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty End-to-end ownership: Ship and own complex software across the full stack with real accountability for what you build Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration Target Salary Range: $165,000 – $215,000 Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Mattermost offers a remote-first work environment with medical, dental, and vision coverage. You’ll also receive unlimited PTO plus company holidays, a work from home stipend, an annual learning and development budget for conferences, certifications, and courses, paid parental leave for all parents, and a 401(k) plan. U.S. Eligibility & Compliance This role may require obtaining and maintaining a U.S. government security clearance. Candidates must meet federal eligibility requirements to be considered. Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls . Mattermost is an EEO Employer, we are a remote-first, open-source company. We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time. Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics. If you require accommodations during the interview process, please let us know—we’re happy to assist.

Location: Hybrid - San Francisco, New York City, Austin 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 The Partner Team at Vercel is charged with creating mutual success for Vercel, our partners, and our customers. We are seeking a Senior Manager, Partner Programs to build and scale the programs, infrastructure, and operating model that turn Vercel's partner strategy into repeatable, high-leverage execution across our entire partner ecosystem, including SIs, GSIs, ISV co-sell, and product partners. Reporting to the VP of Partnerships, this person owns how partner strategy gets operationalized: designing the shared systems, journeys, and enablement that every partner type moves through, so partner leadership and partner managers can focus on strategy, relationships, and growth rather than rebuilding infrastructure partner-by-partner. This is a hybrid position, with a required 3 days per week in one of our San Francisco, Austin, or New York City offices. What you'll do Own the partner journey framework: design and continuously improve the shared journey every partner moves through, from Acquisition to Onboarding to Activation to Acceleration, including eligibility criteria, intake paths, incentives, tiering, and agreements. Lead partner enablement & certification: own the roadmap and delivery model for partner onboarding, training, certification, and badging programs, partnering with PSE and GTM Enablement on technical training content. Establish governance & standards: define tiering, KPIs, and rules of engagement across partner types, and drive consistent standards across Partnerships, Sales, Marketing, Product, and Customer Success. Design repeatable GTM plays: build co-sell, pipeline-generation, and joint go-to-market motions that scale successful partner plays rather than reinventing them per relationship. Run partner communications & community: own ongoing partner comms, news, meetups, summits, self-serve co-marketing kits, and the Partner Advisory Board with its feedback loops. Use data to evolve programs: evaluate program and partner performance using data and partner feedback, and recommend where programs should expand, simplify, or retire. Act as the execution arm of partner strategy: translate partner leadership's priorities (enterprise, agentic pipeline, scale) into clear, resourced programs and roadmaps. What you need 6+ years in partnerships, partner programs, ecosystem enablement, or GTM strategy roles, in AI / Developer tooling. Proven experience and results building and scaling partner programs. Strong understanding of the developer, modern web, and AI agent ecosystem. Experience with PRM systems, marketplaces, or partner ecosystem tooling. Ability to translate ambiguous strategy into concrete, scalable programs and measurable execution. Strong cross-functional leadership; comfortable driving alignment across Partnerships, Sales, Marketing, Product, and Customer Success without direct authority. Data-driven approach to evaluating program performance and partner feedback. Clear, confident communicator capable of building tools, content, and playbooks that other people can execute consistently. Bonus if you have Experience designing governance, tiering, or certification frameworks for multiple partner types simultaneously (SIs, ISVs, GSIs, resellers). Exposure to AI/ML, devtools, cloud, or SaaS startup ecosystems. Experience standing up or migrating PRM/marketplace infrastructure. 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 on-target earnings (OTE) range for this role is $175,000 - $230,000. 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: Hybrid - San Francisco, New York City, Austin 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 Vercel is hiring a Strategic Product Partnerships Lead to develop first-of-a-kind partnerships that inflect the company's growth. Done well, these partnerships open distribution for our products, create new pipeline for our field teams, and/or add new capabilities to our platform. This is a highly cross-functional and technical role: you will spend as much time with product and engineering leaders as with commercial ones, internally and externally. You will report to the Head of Strategic Partnerships and own a named set of partners that includes hyperscalers, frontier AI labs, silicon vendors, and commerce and enterprise software platforms. The work takes a different shape with each one, but the common thread is that these partnerships live close to the product: embedding Vercel inside a partner's platform, co-building new products, taking a joint offering to enterprises that neither company could sell alone. This is a hybrid position, requiring 3 days per week (Monday, Tuesday, Friday) in one of our San Francisco, Austin, or New York City offices. What you'll do Own a named set of strategic partners end to end, from first conversation through signed agreement to launch and growth Identify and develop new partnerships with the companies that matter most to Vercel's strategy across AI, cloud, commerce, and enterprise software Build the business case: size the opportunity, scope the product and engineering investment it requires, and give leadership a clear recommendation, including when the recommendation is to pass Lead negotiations end to end, structuring commercial agreements that are new to Vercel and often new to the partner: revenue share, embedded pricing, co-sell commitments, marketplace terms Lead cross-functional teams across Product, Engineering, Sales, Marketing, Finance, and Legal to take a signed agreement to launch Run deals with structure: clear milestones, agreed measures of success on both sides, and the judgment to stop the ones that are not working What you need 8+ years developing, negotiating, and executing complex commercial agreements, ideally at a platform, infrastructure, cloud, or developer tools company A track record of initiating partnerships that had no precedent, with companies significantly larger than your own. You can walk through the terms you won and the ones you gave up Experience structuring deals with significant technical surface area: platform integrations, embedded or whitelabeled product, licensing, infrastructure and compute commitments. You can hold a credible conversation with a partner's product and engineering teams about agents, inference, model routing, and cloud infrastructure Experience creating and driving strategy, and getting an organization to fund it Comfortable leading cross-functional teams you do not manage, through Product, Engineering, Legal, Finance, and Sales Strong agency and comfort with ambiguity. You decide what to work on and can defend the choice Excellent written and verbal communication with executives on both sides of the table Bonus if you Have done partnerships at or with a hyperscaler, a frontier AI lab, or a large commerce or enterprise software platform Have structured technology licensing, OEM, or embedded distribution agreements Started in a technical role (engineering, solutions architecture, or technical product) before moving into commercial work Compensation & Benefits: 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 salary range for this role is $194,000 - $237,000, plus an annual company target bonus. 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.

Bitmanager.ai — AI-стартап в категории conversational AI agents, создающий платформу для голосовых и текстовых AI-агентов в клиентских коммуникациях.

Bitmanager.ai — AI-стартап в категории conversational AI agents, создающий платформу для голосовых и текстовых AI-агентов в клиентских коммуникациях. Вакансии: AI Data Operations Lead, ML / LLM Engineer – AI Agents, Senior Voice Engineer / Ведущий войс-инженер.

Bitmanager.ai — AI-стартап в категории conversational AI agents, создающий платформу для голосовых и текстовых AI-агентов в клиентских коммуникациях. Вакансии: AI Data Operations Lead, ML / LLM Engineer – AI Agents, Senior Voice Engineer / Ведущий войс-инженер.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. ABOUT THE HEALTHCARE TEAM - Our healthcare agents already reach over 50% of U.S. families. We partner with leading health plans, providers, and healthcare platforms to deliver AI agents that handle some of the most sensitive and high stakes conversations in any industry. From helping members understand their benefits to resolving billing questions with empathy, our healthcare agents are transforming how patients and policyholders interact with the healthcare system. - Our healthcare customers include major health insurance networks, nonprofit providers, multi-site primary and urgent care practices, healthcare diagnostics companies, and healthcare financial platforms. - Join us to transform the patient experience across the healthcare system—and help build technology that makes care more accessible, more human and more affordable for everyone. WHAT YOU'LL DO - Design integrations grounded in real healthcare workflows. Translate customer requirements into clear recommendations on interfaces, data flows, and EHR configuration. Identify assumptions, tradeoffs, and limitations so engineering teams have an actionable implementation plan. - Resolve customer-specific EHR complexity. Understand how each organization configures and operates its EHR, including scheduling rules, patient identity, permissions, and workflow dependencies. Work with customer analysts, vendor teams, and Sierra engineers to investigate unexpected behavior and resolve integration blockers. - Guide integration readiness through go-live. Define customer setup requirements, dependencies, and validation criteria. Guide EHR and IT teams through application registration, access provisioning, environment setup, and workflow testing, partnering with engineers to verify that integrations behave as intended. - Bring EHR expertise to customer discovery. Partner with Sales, Sales Engineering, and Agent Development to assess feasibility, explain integration requirements, and scope achievable projects. Make clear what Sierra supports today and what requires additional configuration or development. - Shape Sierra’s healthcare integration roadmap. Evaluate vendor capabilities, integration programs, and emerging customer needs. Recommend where to invest, distinguishing reusable platform capabilities from customer-specific configuration and implementation work. - Make each implementation easier than the last. Turn deployment experience into reference designs, implementation guides, and internal training. Help teams apply proven approaches and recognize when a customer’s requirements call for a different design. WHAT YOU'LL BRING - 5+ years of experience in healthcare interoperability or EHR implementation, with direct responsibility for designing or delivering integrations at an EHR vendor, health system, healthcare technology company, or implementation consultancy. - Deep expertise in at least one major EHR ecosystem, such as Epic, athenahealth, Oracle Health, eClinicalWorks, MEDITECH, or similar systems. You understand its integration options, configuration model, and implementation processes, and can investigate unfamiliar capabilities independently. - Practical knowledge of patient-access workflows, such as scheduling, registration, or referral management. You can explain how operational rules and customer configuration affect what an integration can do. - Technical fluency in healthcare integrations. You can read API documentation, interpret requests and responses, and troubleshoot data and configuration issues. You have hands-on experience with relevant approaches such as FHIR, HL7v2, vendor APIs, or file-based exchange, and can explain when to use them. - A track record of taking third-party integrations through deployment. You have worked through application registration, authentication and permissions, test and production environments, workflow validation, and go-live dependencies. - Clear communication and independent judgment. You can lead discovery with EHR analysts and operational teams, turn incomplete information into an implementation plan, and explain recommendations to software engineers and business stakeholders. You know when to validate an assumption before committing to an approach. EVEN BETTER... - Epic certifications in areas such as Bridges, Cadence, Prelude, or Interconnect, or comparable expertise in another EHR ecosystem. - Experience across multiple EHR vendors or health systems, particularly integrating third-party products into patient-access or contact-center workflows. - Experience using SQL, scripts, or code to investigate integration issues, or working with teams building AI agents for healthcare. - Hands-on software development experience, including building or extending integrations with EHRs or other healthcare systems. - Comfortable contributing directly to integration code, including implementing API calls, troubleshooting failures, and writing tests. Experience with TypeScript, Go, or Python is a plus. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Poland Workplace: Remote HI THERE!👋🏻 WE’RE TOOPLOOX 💎, A SOLVD INC. COMPANY We create AI-powered products and services that make a real difference. Our team of nearly 200 specialists - including a 40+ person R&D team with many PhDs - has pioneered AI solutions across industries from healthcare to e-commerce. We’ve published research in top-tier venues like NeurIPS and ICML, while delivering real-world applications that help our clients innovate and scale.   WHAT YOU WILL DO: - Collaborate with cross-functional teams to design and build AI Agentic solutions. - Contribute to defining technical requirements and implementing features across the software lifecycle - from proof of concept through implementation to evaluation and production. - Take ownership of assigned tasks and deliver high-quality, maintainable code. - Manage backend tasks while contributing to frontend development. - Stay informed about trends and advancements in AI and related fields, continuously learning and integrating new knowledge. - Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions.   EXPERIENCE AND SKILLS YOU NEED TO JOIN US: - Experience in full-stack development using mainly NodeJS (with TypeScript). - At least 1 year of experience in AI Engineering role. - Versatile in technology use, comfortable working across backend and frontend tasks. - Track record in staying current with AI and Agentic technologies, including best practices and architecture. - Openness to client collaboration, fostering clear communication and effective partnership. - Strong commitment to learning new technologies and swiftly adapting to new products and APIs. - Understanding of Retrieval-Augmented Generation (RAG) and its applications. - Familiarity with Multi-Agents concept, tools usage and MCP Servers. - Hands-on experience with LLM APIs/SDKs (e.g., OpenAI, Anthropic). - Knowledge of LLM orchestration and frameworks like Langchain or LlamaIndex, with practical implementation experience. - Understanding of prompt design principles and an ability to create effective prompts. - Experience configuring services on cloud platforms (e.g. AWS, Azure, GCP). - Basic experience with CI/CD pipelines and DevOps best practices. - Competence in REST API usage and efficient database integration. - Fluency in English language.   IT WOULD BE GREAT IF YOU ALSO HAVE: - Basic knowledge of machine learning principles. - Understanding Python source code. - Experience with React. - Experience with model fine-tuning and distillation. - Familiarity with LLM evaluation. - Experience with Model Context Protocol (MCP). - Experience with graph databases. - Familiarity with other programming languages and frameworks. - Familiarity with Voice Agents concepts and related frameworks e.g. Pipecat HOW WE WORK: At Tooploox 💎, you have the flexibility to choose your working hours ⏰ and location 📍. While we value remote work, we also believe in building relationships 🤝and invite you to join us in our Warsaw and Wrocław offices 🏢. Enjoy a relaxed atmosphere 🍃 and try some “home-made” pizza 🍕 from our office pizza oven. We love having pets 🐶 in the office, so feel free to bring yours along.😁 Join us and shape the future of AI while working the way you like!

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 an ML Engineering Manager to join the existing data science function at Cleo - a collaborative team of ML engineers, analysts, and data engineers - to build and deploy production models that go directly into the product. You'll lead the ML workstream behind our Financial Assistant feature, shaping how Cleo uses LLMs to have more engaging, accurate, and personalised conversations about money. This is a people management role: you'll manage the ML engineers across your squads, own the headcount plan, and be responsible for hiring and team development in your area. - Understand the core problems faced by the Financial Assistant team and coordinate the ML function's contribution to solving them - Find opportunities for model and product improvements in Cleo's extensive customer behaviour datasets - Manage the ML engineers in your squads - coaching and developing them to deliver on the roadmap - Build out the headcount plan and own hiring and team development within your area to support growth WHAT WE'RE LOOKING FOR 🕵️ - Extensive experience building and deploying machine learning models to production - Experience managing and developing high-performing teams of data scientists and ML engineers - A habit of keeping abreast of the latest research and experimenting productively with new technologies, including LLMs and LLM agent design - Experience owning an ML roadmap, driving new ideas through to business impact - Ability to write production-quality Python code, with a willingness to stay somewhat hands-on - Nice to have: domain knowledge of NLP, including evaluating LLM systems and fine-tuning LLMs or other transformer models - Nice to have: a strong ability to communicate findings to non-technical stakeholders concisely and engagingly - Nice to have: experience with containers and container orchestration - Kubernetes, Docker, and/or Mesos - Nice to have: experience using vector databases such as OpenSearch 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!

Требования к кандидату: - 5+ years of experience in fintech or crypto - Strong production experience with Go - Experience with PostgreSQL, gRPC / REST, and Kafka - Real experience applying microservice patterns - Strong PostgreSQL skills beyond CRUD - Strong Kafka knowledge - Active use of AI agents in development

Location: Poland Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For: Support Operator to join our Global Customer Support Division. This role focuses on high-quality case handling, user consultations, and continuous improvement of support processes and knowledge base content. The role is based in Poland. Responsibilities: Support Operations & Case Handling Handle and distribute incoming support cases with proper prioritization and ownership Monitor the support queue and proactively take cases into work Provide expert guidance on Creatio products and related services Process service requests including cloud-related actions, licensing, and SLA activation Keep customers informed about case progress and resolution timelines Manage escalations and support critical customer situations Collect and analyze customer feedback to improve support quality Customer Communication Communicate with customers via phone, chat, and email in a clear and professional manner Provide consultations and explanations tailored to customer needs Perform remote sessions to assist with issue resolution when required Knowledge Sharing & Continuous Improvement Create, update, and maintain knowledge base articles and internal documentation Collaborate with the Academy team by providing feedback and content improvement suggestions Identify recurring issues and contribute to optimization of support processes and service quality Requirements: Experience in customer or technical support roles Strong understanding of HelpDesk / ServiceDesk operations Excellent verbal and written communication skills Strong capability to explain technical concepts clearly to users Ability to manage escalations and critical cases with a solution-oriented approach Confident use of office software, email clients, and web browsers Basic understanding of PC architecture and networks Foundational knowledge of databases (DBMS) is a plus Strong teamwork skills and ability to manage multiple tasks simultaneously English proficiency at B2 level or higher What you should expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Ukraine Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For: Support Operator to join our Global Customer Support Division. This role focuses on high-quality case handling, user consultations, and continuous improvement of support processes and knowledge base content. The role is based in Poland. Responsibilities: Support Operations & Case Handling Handle and distribute incoming support cases with proper prioritization and ownership Monitor the support queue and proactively take cases into work Provide expert guidance on Creatio products and related services Process service requests including cloud-related actions, licensing, and SLA activation Keep customers informed about case progress and resolution timelines Manage escalations and support critical customer situations Collect and analyze customer feedback to improve support quality Customer Communication Communicate with customers via phone, chat, and email in a clear and professional manner Provide consultations and explanations tailored to customer needs Perform remote sessions to assist with issue resolution when required Knowledge Sharing & Continuous Improvement Create, update, and maintain knowledge base articles and internal documentation Collaborate with the Academy team by providing feedback and content improvement suggestions Identify recurring issues and contribute to optimization of support processes and service quality Requirements: Experience in customer or technical support roles Strong understanding of HelpDesk / ServiceDesk operations Excellent verbal and written communication skills Strong capability to explain technical concepts clearly to users Ability to manage escalations and critical cases with a solution-oriented approach Confident use of office software, email clients, and web browsers Basic understanding of PC architecture and networks Foundational knowledge of databases (DBMS) is a plus Strong teamwork skills and ability to manage multiple tasks simultaneously English proficiency at B2 level or higher What you should expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type

Location: Toronto; Calgary; Boston; Canada; Seattle; New York; Vancouver; California; Ottawa; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE Enterprises hand Cohere their most sensitive data and put our models inside workflows they can't afford to get wrong. Securing that means working on problems the industry hasn't settled yet, what authorization means when an agent acts on a user's behalf, how to contain tools that consume untrusted input, and whether tenant boundaries hold when a model can be steered by the data it reads. The established playbooks only take you so far. We're hiring a Senior Product Security Engineer to work these problems alongside the engineers building the products, reviewing architecture and code, threat modeling before implementation, testing what ships, and turning what you learn into defaults other teams inherit. This is a hands-on engineering role, not an advisory one. WHAT YOU’LL DO - Lead security reviews. Review architecture, code, and security-sensitive changes. Identify both individual vulnerabilities and the recurring design patterns behind them. - Secure AI-powered products. Evaluate risks such as prompt injection, unsafe tool use, identity and delegation failures, excessive agency, data exposure, tenant isolation, and sandbox escapes. - Threat model new capabilities. Identify trust boundaries, abuse cases, and high-impact failure modes before implementation. Translate findings into practical, prioritized mitigations. - Perform hands-on testing. Investigate suspected vulnerabilities, develop proofs of concept, assess exploitability and impact, and partner with engineers through remediation. - Build scalable guardrails. Develop secure defaults, approved patterns, reusable controls, review requirements, and automated checks that reduce recurring risks. - Strengthen engineering capability. Pair with engineers, document practical guidance, and help product teams develop durable security expertise. - Influence risk decisions. Explain technical findings, business impact, and remediation options clearly to engineers, product leaders, and executives. YOU MAY BE A GOOD FIT IF - You have strong software engineering fundamentals and can independently understand, test, and contribute fixes to production codebases. - You are proficient in at least one of Python, Go, or TypeScript. - You have led security reviews or threat models for complex production systems and can point to meaningful design or risk improvements that resulted. - You understand common vulnerability classes and their underlying design failures, including injection, authorization flaws, IDOR, SSRF, unsafe deserialization, race conditions, cryptographic misuse, and software supply-chain risks. - You understand modern application architecture, including web applications, APIs, OAuth/OIDC, cloud platforms, containers, Kubernetes, and CI/CD systems. - You can reason rigorously about untrusted input, authorization, isolation, identity, delegation, and data boundaries. Direct experience with agentic AI systems is valuable but not required. - You have driven security improvements involving multiple engineering teams, including situations where influence mattered more than authority. - You communicate clearly with both technical and non-technical audiences. NICE TO HAVE - Experience building or operating security tooling such as SAST, DAST, SCA, custom linters, or policy-as-code. - Experience securing multi-tenant SaaS, enterprise software, or systems that process sensitive customer data. - Offensive security experience through penetration testing, red teaming or security research. - Experience operating or participating in a vulnerability disclosure or bug bounty program. - Contributions to open-source security projects, published research, conference talks, or credited vulnerability discoveries. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.