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Location: New York City, NY; San Francisco, CA; Seattle, WA 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 an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world. You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth. Key responsibilities Deep dive into user behavior data to provide insights on safety concerns Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company Minimum qualifications Expertise in Python, SQL, and data visualization tools. A bias for action and urgency, not letting perfect be the enemy of the effective. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. A deep curiosity and energy for pulling the thread on hard questions. Experience in turning open questions and data into concise and insightful analysis. Highly effective written communication and presentation skills. A passion for the company's mission of building helpful, honest, and harmless AI. Preferred qualifications 8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context. 3+ years of experience deeply embedding in Product teams. Experience working on safety, anti-abuse, integrity shaped problems. Deadline to apply: None. Applications will be reviewed 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: $285,000 — $380,000 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: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Team The SRE team is dedicated to deeply integrating large language models (LLMs), AI Agents, and engineering platform capabilities to build an intelligent application system for R&D, operations, stability, and business scenarios. By creating an AI application architecture that is observable, evaluable, governable, and continuously evolving, the team is driving the company's shift from "tool-assisted" to "intelligent collaboration," improving R&D efficiency, system stability, fault diagnosis efficiency, and the quality of business decisions. What You’ll Be Doing Design and build AI Harness capabilities for SRE / DevOps scenarios, including fault detection, change analysis, capacity risk identification, automated inspection, drill evaluation, and recovery recommendations. Drive the development of an automated RCA (Root Cause Analysis) system, combining logs, metrics, distributed tracing, events, changes, topology, and other data to achieve root cause analysis, impact scope assessment, and post-incident review support. Build AIOps platform capabilities, including intelligent alert noise reduction, anomaly detection, event correlation, trend prediction, fault attribution, and automated closed-loop remediation. Collaborate with R&D, SRE, platform, data, and business teams to embed AI capabilities into Code Review, CI/CD, GitOps, DevOps, incident response, and stability governance processes. What We Look For In You Bachelor's degree or above in Computer Science or a related field, with 8+ years of experience in R&D, architecture, or platform engineering; experience building AI applications, SRE, AIOps, or DevOps platforms is preferred. Strong software architecture skills, familiar with microservices architecture, distributed systems, high-availability design, service governance, observability, and platform engineering. Familiar with LLM application development; understanding of core technologies such as LLM, RAG, Embedding, vector databases, Agents, Function Calling / Tool Calling, and Prompt Engineering. Understanding of the production challenges of AI applications, including hallucination control, result evaluation, permission boundaries, data security, cost control, observability, and failure fallback mechanisms. Experience delivering AI Agent or intelligent assistant products, able to design complex task decomposition, multi-tool invocation, multi-turn reasoning, context management, and human-machine collaboration workflows. Familiar with RCA or AIOps capability development, including log analysis, metric anomaly detection, distributed tracing, event correlation, alert noise reduction, topology analysis, and root cause localization. Proficient in at least one mainstream development language, such as Java, Python, Go, or TypeScript, with strong engineering implementation and system design skills. Familiar with cloud-native technology stacks and common middleware, such as Kubernetes, Docker, Kafka, Redis, MySQL, Elasticsearch, Prometheus, Grafana, OpenTelemetry, etc. Strong complex problem analysis skills and holistic architectural thinking, able to drive problem-solving from business, platform, process, and organizational collaboration perspectives. Ability to communicate in both Chinese and English is preferred as the role requires collaborating with cross-region stakeholders Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependents More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Stockholm, Stockholm, Sweden Join EQT Tech’s Architectural function, where you’ll play a critical role in future-proofing and scaling one of our cross-functional value streams—Fintech. This is a unique opportunity to design and drive the technology supporting our financial operations — ensuring seamless integrations, efficiency, and innovation. If you're a strategic thinker with a strong technical foundation and a passion for designing scalable systems, we’d love to hear from you. About the Tech Team – Fintech Value Stream The Fintech Value Stream strives to improve and automate key financial processes to deliver a best-in-class experience for a broad range of business domains. We’re a cross-functional team collaborating closely with stakeholders across EQT to ensure data and technology strategically support business outcomes. Our team includes tech leads, data professionals, product managers and architects who together shape the future of finance operations through scalable, data-driven solutions. What you’ll do As a Software and Solution Architect, you will play a key role in shaping EQT’s technical landscape within the Fintech Value Stream. Your primary responsibility will be to collaborate with Tech Leads, Engineers, and external partners to design and implement solutions that drive efficiency and scalability across EQT’s investment technology. Beyond your work in the Fintech Value Stream, you'll also collaborate closely with peers in the Architecture function to shape EQT Tech's long-term architectural direction, ensuring consistency, reusability, and strategic alignment across value streams. Key Responsibilities Partner with tech leads and engineers to support the Fintech Value Stream in new projects & initiatives, engaging in technical discussions with both third-party service providers and internal teams to ensure a structured approach to solution development Assess the current architecture, team capabilities, and resource allocation to determine the best approach for future implementations Develop new architectural solutions and enhance existing ones to ensure they are harmonized, scalable, and efficient for all of EQT Establish technical standards, best practices, and improved ways of working across EQT’s Tech teams Collaborate with other Value Streams (Investment & Client) and Platform Teams to define interfaces, ownership, and capabilities within the Fintech domain Design system integrations, ensuring seamless connectivity between internal systems, new external systems, and vendors Work closely with the Head of Architecture and the Head of Fintech, supporting key strategic initiatives Who are you? We’re looking for an experienced Software and Solution Architect with a strong technical foundation and a strategic mindset. You should have a passion for problem-solving, system design, and technical leadership. You likely have 8–12 years of experience across software engineering and architecture, including time spent designing systems in regulated or data-sensitive environments. Desired Skills & Experience Strong software engineering background, with hands-on experience designing and maintaining complex, high-availability systems that handle sensitive data Strong understanding of system integrations, APIs, and data architectures Proven ability to drive implementation from initial requirements to high-level solution design and progress tracking Strong leadership and coaching skills, with the confidence to take a firm stance in technical discussions Excellent communication skills, able to engage effectively with key stakeholders and external partners Proactive mindset, with a desire to learn, adapt, and drive continuous improvement Curiosity about applying AI and advanced analytics to drive business value and innovation Nice-to-haves Hands-on experience with modern data stacks and frameworks (e.g., dbt, Snowflake, SQL, Fivetran) Familiarity with financial systems such as Netsuite, Kyriba, Hazeltree, MRI, or Aaro, and BI tools like PowerBI or Hex What We Offer A fast-paced and dynamic work environment at a leading global investment firm The opportunity to work with cutting-edge technology and develop the future of EQT’s financial tools A collaborative and inclusive company culture where innovation is encouraged Regular hackathons, workshops, and learning opportunities to develop new skills Competitive compensation and benefits package A vibrant office environment in central Stockholm Inclusion at EQT Our vision for EQT employees is to build high performing & engaged teams. Our competitive edge comes from fostering an environment where every individual feels valued, empowered, and motivated to drive business impact. Our commitment to inclusion is not just about fairness; We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes. About EQT EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of more than three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has €‌​​354​‌ billion in total assets under management (€195​‌ billion in fee-generating assets under management) as of 30 September 2026, within four business segments – Private Capital, Infrastructure, Real Estate and Secondaries. With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. The EQT AB Group comprises EQT AB (publ) and its direct and indirect subsidiaries, which include general partners and fund managers of EQT funds as well as entities advising EQT funds. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 2,200 employees. More info: www.eqtgroup.com Follow EQT on LinkedIn , X , YouTube and Instagram

Location: Warszawa, Masovian Voivodeship, Poland Join EQT Tech’s Architectural function, where you’ll play a critical role in future-proofing and scaling one of our cross-functional value streams—Fintech. This is a unique opportunity to design and drive the technology supporting our financial operations — ensuring seamless integrations, efficiency, and innovation. If you're a strategic thinker with a strong technical foundation and a passion for designing scalable systems, we’d love to hear from you. About the Tech Team – Fintech Value Stream The Fintech Value Stream strives to improve and automate key financial processes to deliver a best-in-class experience for a broad range of business domains. We’re a cross-functional team collaborating closely with stakeholders across EQT to ensure data and technology strategically support business outcomes. Our team includes tech leads, data professionals, product managers and architects who together shape the future of finance operations through scalable, data-driven solutions. What you’ll do As a Software and Solution Architect, you will play a key role in shaping EQT’s technical landscape within the Fintech Value Stream. Your primary responsibility will be to collaborate with Tech Leads, Engineers, and external partners to design and implement solutions that drive efficiency and scalability across EQT’s investment technology. Beyond your work in the Fintech Value Stream, you'll also collaborate closely with peers in the Architecture function to shape EQT Tech's long-term architectural direction, ensuring consistency, reusability, and strategic alignment across value streams. Key Responsibilities Partner with tech leads and engineers to support the Fintech Value Stream in new projects & initiatives, engaging in technical discussions with both third-party service providers and internal teams to ensure a structured approach to solution development Assess the current architecture, team capabilities, and resource allocation to determine the best approach for future implementations Develop new architectural solutions and enhance existing ones to ensure they are harmonized, scalable, and efficient for all of EQT Establish technical standards, best practices, and improved ways of working across EQT’s Tech teams Collaborate with other Value Streams (Investment & Client) and Platform Teams to define interfaces, ownership, and capabilities within the Fintech domain Design system integrations, ensuring seamless connectivity between internal systems, new external systems, and vendors Work closely with the Head of Architecture and the Head of Fintech, supporting key strategic initiatives Who are you? We’re looking for an experienced Software and Solution Architect with a strong technical foundation and a strategic mindset. You should have a passion for problem-solving, system design, and technical leadership. You likely have 8–12 years of experience across software engineering and architecture, including time spent designing systems in regulated or data-sensitive environments. Desired Skills & Experience Strong software engineering background, with hands-on experience designing and maintaining complex, high-availability systems that handle sensitive data Strong understanding of system integrations, APIs, and data architectures Proven ability to drive implementation from initial requirements to high-level solution design and progress tracking Strong leadership and coaching skills, with the confidence to take a firm stance in technical discussions Excellent communication skills, able to engage effectively with key stakeholders and external partners Proactive mindset, with a desire to learn, adapt, and drive continuous improvement Curiosity about applying AI and advanced analytics to drive business value and innovation Nice-to-haves Hands-on experience with modern data stacks and frameworks (e.g., dbt, Snowflake, SQL, Fivetran) Familiarity with financial systems such as Netsuite, Kyriba, Hazeltree, MRI, or Aaro, and BI tools like PowerBI or Hex What We Offer A fast-paced and dynamic work environment at a leading global investment firm The opportunity to work with cutting-edge technology and develop the future of EQT’s financial tools A collaborative and inclusive company culture where innovation is encouraged Regular hackathons, workshops, and learning opportunities to develop new skills Competitive compensation and benefits package A vibrant office environment in Fabryka Norblina, Warsaw Inclusion at EQT Our vision for EQT employees is to build high performing & engaged teams. Our competitive edge comes from fostering an environment where every individual feels valued, empowered, and motivated to drive business impact. Our commitment to inclusion is not just about fairness; We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes. About EQT EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of more than three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has €‌​​354​‌ billion in total assets under management (€195​‌ billion in fee-generating assets under management) as of 30 September 2026, within four business segments – Private Capital, Infrastructure, Real Estate and Secondaries. With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. The EQT AB Group comprises EQT AB (publ) and its direct and indirect subsidiaries, which include general partners and fund managers of EQT funds as well as entities advising EQT funds. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 2,200 employees. More info: www.eqtgroup.com Follow EQT on LinkedIn , X , YouTube and Instagram

Location: European Union Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. About the role As a Product Manager at Cast AI, you’ll drive our cloud-native platform forward by gathering user insights, shaping roadmaps, and leading cross-functional teams to deliver impactful, Kubernetes-powered products. We are currently looking for Product Managers in the following product areas: Storage Optimization Reporting OMNI Workload Autoscaler This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine . Requirements: Proven experience owning B2B software products in a cloud-native environment with strong Kubernetes domain knowledge - you understand node lifecycle, autoscaling, and cloud infrastructure economics, not just the PM layer on top of them. Kubernetes certification ( CKA preferred) - you either already hold it or will complete it within your first 6 months. Demonstrated use of AI tools - LLMs, coding assistants, or agentic workflows - to accelerate product work. You don't need to ship code, but you should already be using AI to reduce cycle time on research, documentation, and decision-making. Hands-on experience defining and tracking product metrics in B2B SaaS contexts, with the ability to move from raw data to actionable insight. Excellent writing skills - you can communicate complex technical capabilities through formats like PR /FAQ that make the value clear to both technical and business audiences. Direct enterprise customer experience - comfortable running discovery interviews and translating ambiguous customer feedback into crisp product requirements. Familiarity with modern product management practices and a bias toward outcome-driven, evidence-based decision making. Education: Computer Science, Information Technology, or equivalent practical experience in a technical domain. Responsibilities: Own a product area end-to-end - from discovery through delivery and adoption - working directly with enterprise customers, SEs, TAMs, and engineering to identify problems worth solving and ship solutions that matter. Drive customer and market discovery through direct user engagement, Proof of Value cycles, competitive analysis, and close collaboration with the GTM team. Use AI tools and LLMs actively in your daily workflow - for discovery synthesis, spec drafting, competitive research, customer interview summarization, and pattern recognition across data. Define and track product metrics that reflect real customer outcomes, using tools like PostHog and control-plane usage data to inform prioritization and validate decisions. Write clear, structured product narratives - PR /FAQs, one-pagers, feature briefs - that align engineering, design, and stakeholders around a shared understanding of what we're building and why. Work across organizational boundaries - with product, engineering, design, sales, and support - to drive prioritization decisions and unblock execution. Identify and lead process improvements in the Product Management team and contribute to raising the bar across the wider organization. What’s in it for you? Competitive salary (€5000 - €8000 gross, depending on the level of experience) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Washington DC Workplace: Remote ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE As our first Federal Partner Alliances Lead for the US, you will own the systems integrator and consulting partner ecosystem across the US Federal market. This is a high-leverage, senior individual contributor role where you will build and drive our federal partner strategy from the ground up — focused primarily on establishing deep, revenue-generating relationships with the major Federal Systems Integrators (FSIs) and a curated set of specialized boutique partners. You are an operator at heart who loves the ambiguity of a fast-growing startup. You understand how developer tools and enterprise AI stacks fit together within the unique compliance and regulatory requirements of the federal space, and you have a track record of driving sourced and influenced revenue through partner channels without needing a heavy management playbook to guide you. This role sits within our GTM organization and will work closely with our field sellers, customer engineering teams, and product leaders to embed LangChain into the delivery practices and solution portfolios of the partners who win and execute the biggest federal AI programs. WHAT YOU'LL DO - Own FSI Relationships: Build and lead LangChain's strategic partnerships with the major federal primes — including Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, Accenture Federal, and similar large-scale integrators. Drive structured engagement across their AI/ML practices, solution architects, and business development teams to embed LangChain into active and upcoming program pursuits. - Develop Boutique and Specialized Partners: Identify and activate a curated set of smaller, mission-focused federal consultancies and AI-native partners that are embedded in specific agency relationships or cleared environments where the primes don't reach. - Build Joint Go-to-Market Motions: Work with FSI partners to co-develop solution offerings, reference architectures, and proposal language that positions LangChain as the preferred agentic AI framework for federal program delivery. - Drive Pipeline Through Partners: Own the partner-sourced and partner-influenced pipeline, working hand-in-hand with LangChain's field sales team to ensure FSI relationships translate into real opportunities and closed revenue. - Support Hyperscaler Relationships Selectively: Maintain a lightweight working relationship with AWS GovCloud, Azure Government, and GCP Public Sector teams, primarily to support event sponsorships, joint visibility opportunities, and marketplace presence — without making this a primary focus of the role. - Execute Co-Marketing Motions: Partner with marketing to show up effectively at key federal industry events (AFCEA, AWS Summit DC, industry days) and develop technical content and co-branded materials that reinforce LangChain's credibility with FSI and agency audiences. - Build the Playbook: Create the operational blueprint for how LangChain scales federal partnerships — from initial relationship mapping and partner tiering to joint pipeline tracking and executive engagement cadences. WHAT YOU'LL BRING - Experience: 6+ years of experience in federal partner management, business development, or alliance roles, with a strong track record of building and monetizing relationships with major FSIs and federal primes. Direct experience working within or alongside Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, or similar organizations is a significant plus. - FSI Network: A genuine, pre-existing network within the business development, AI/ML practice, and solutions architecture communities at the major federal primes. You should be able to get meetings quickly and have credibility with the people who shape program pursuit decisions. - Technical Foundation: Enough technical fluency to speak credibly with enterprise architects and engineering leads in federal environments. You don't need to write code, but you must understand how LLMs, agentic frameworks, and developer tooling operate within federal infrastructure, including FedRAMP, IL4/IL5, and zero-trust requirements. - Startup Agility: Proven ability to navigate a high-growth environment with limited structure. You are comfortable building the playbook as you run it, executing independently with minimal supervision in the often long-cycle federal sales environment. - Operational Rigor: Strong pipeline management skills. You track partner activity with clean CRM hygiene, maintain accurate opportunity attribution, and communicate clearly and consistently to internal stakeholders. - Strong Communication & Influence: Equally comfortable writing sharp internal strategy docs as you are presenting to senior BD and practice leaders at major federal integrators. NICE TO HAVE'S - Active security clearance (Secret or higher) or existing clearance eligibility. - Prior experience at an open-source, developer tools, or infrastructure software company bringing a new technology into the federal FSI ecosystem. - Familiarity with federal procurement vehicles (GSA Schedule, OTAs, BPAs) and how primes use them to structure program delivery. - Familiarity with the modern LLM orchestration stack, federal data environments, and compliance frameworks (FedRAMP, NIST, CMMC). Annual Salary Range: $190,000 to 270,000 + Equity COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York, United States; San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Lifecycle marketing at OKX is evolving. We're not looking for someone to run campaigns — we're looking for someone to fundamentally rethink how we engage traders across the US market on one of the world's leading crypto platforms. This is a leadership role for a marketer who thinks in systems, not sends. Someone who is comfortable defining a US-market engagement strategy as well as getting into the work to make it happen. Reporting to the Global Head of Lifecycle Marketing, you'll help define the vision, strategy, and output of lifecycle marketing for the US. Your execution layer is AI agents, cross-functional partners, and co-operating with the broader Lifecycle marketing team. That means your ability to train, direct, brief and critique is as important as your ability to set direction. If your default mode is execution and program management or pure strategy and handoff, this isn't the role for you. If your default mode is leading from the front, and you have the craft and judgment to shape the work through strategic problem-solving, AI-native thinking, and a relentless focus on what quality looks like to actually move users — read on. What You’ll Be Doing Lifecycle Strategy & Vision Define how OKX engages US users from acquisition through activation, retention, and reactivation — across segments and products. You'll set the strategic framework for the US market, working in close alignment with the Global Head of Lifecycle to ensure regional strategy ladders into global priorities. This means deeply understanding US crypto user behavior, identifying the highest-leverage moments in the lifecycle, and building programs that compound over time. AI-Native Ways of Working You will lead by example in embedding AI into every layer of lifecycle marketing — from ideation and content development to segmentation, testing, and analysis. Critically, this includes building and training agentic AI workflows: multi-step, autonomous systems that execute lifecycle programs at scale. You'll know the outcomes of poorly trained agents. You won't just adopt AI tools; you'll help determine which ones we build, which we leverage for each task, and how we use them to raise the ceiling on what a lean, high-performing team can deliver. Insight-Led Decision Making You'll be the person in the room who can translate user behavior data into a point of view — and then into a program. You'll develop a deep understanding of our user segments, their motivations, and the signals that predict engagement, conversion, and churn. Reporting and dashboards are a starting point, not the destination. Cross-Functional Leadership Lifecycle doesn't work in isolation. You'll build genuine partnerships with Product, PMM, Data, BI, Design, Legal, and regional teams — not just as a stakeholder manager, but as a strategic voice in how OKX grows. You'll influence roadmaps, shape go-to-market planning, and ensure lifecycle has a seat at the table early. What We Look For In You Strategic instinct. You've led lifecycle programs that were defined by a clear strategic thesis. You can articulate why a program is designed the way it is, what user problem it solves, and how it ladders to business outcomes. Demonstrated AI fluency. You actively use AI in your day-to-day work, including agentic tools and autonomous workflows. You've built or directed the development of AI-powered systems/processes and can speak specifically to how you've trained agents, trained co-workers to use them, where you've course-corrected poor outputs, and where AI genuinely creates leverage versus where it doesn't. Using AI chat tools is a baseline, not a differentiator. A user behavior obsession. You think about users before you think about channels. You can read engagement data and form a hypothesis. You know the difference between a segment and a persona, and you know how to use both. Ability to execute with speed and excellence: You can look at a lifecycle program, a campaign brief, a piece of copy, or a targeting strategy and know immediately what's working and what isn't — and articulate why. You can develop these yourself when needed. This isn't primarily an executional role, but you bring enough craft and hands-on judgment to direct AI agents and cross-functional partners with precision, and to close the gap between strategy and output without losing quality. Comfort with ambiguity and a bias toward action. OKX moves fast. The crypto landscape moves faster. You'll be expected to make smart decisions with incomplete information, move quickly, and refine as you go — not wait for perfect conditions. Demonstrated leadership through strategic change. You've been in situations where direction shifted — market conditions, business priorities, platform constraints — and you didn't just adapt, you led. You can point to specific moments where you reoriented a team or program mid-flight, held quality standards under pressure, and came out with momentum intact. Global perspective, local instinct. You've worked across multiple markets and understand that a single lifecycle strategy rarely fits all. You know how to build frameworks that scale globally while giving regional teams the flexibility to be relevant locally. Nice to Haves 15+ years in lifecycle, CRM, or growth marketing in a high-growth, fast-paced environment Demonstrated track record of building lifecycle strategies that drove measurable impact on activation, retention, or LTV — not just engagement metrics Meaningful AI adoption in your own workflows — you should be able to speak specifically to how you use it and what it's changed Experience with Marketing Automation tool roll outs is an advantage Experience in crypto, fintech, or financial services strongly preferred Familiarity with CeFi/DeFi and genuine curiosity about the crypto space Strong communication skills — you can present a strategy to a CMO and a campaign brief to a designer with equal clarity Perks & Benefits Competitive total compensation package Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $200,000 - $300,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

StellarTech is building a Customer Tech Care unit - a specialised engineering squad embedded within Customer Care, whose sole purpose is to technically resolve every user issue that cannot be solved by a standard support agent. As the Lead, you will be the technical authority and organisational backbone: triaging escalated tickets, directing your team of automation engineers, coordinating with product and infrastructure engineering, and personally architecting or approving every solution shipped. This is not a traditional support lead role. You will spend the majority of your time in systems - querying databases, reproducing bugs in staging, reading logs, designing automation flows, and evaluating LLM agents. You are the bridge between what support teams observe and what engineering teams build. What You’ll Do: 1. Team Leadership & Unit Operations • Own day-to-day operation: capacity planning, sprint structure, task distribution, and quality standards. • Mentor and grow automation engineers; define code and architecture review processes. • Establish and track unit KPIs: ticket deflection rate, automation coverage ratio, recurrence prevention. • Report unit performance to management; propose headcount and tooling investments backed by data. 2. Escalation Triage & Technical Investigation • Serve as the primary technical intake point for all escalated issues: reproduce problems, isolate root causes, scope resolution paths. • Access production/staging systems, internal dashboards, and databases (SQL/NoSQL) to investigate issues directly. • Analyse logs, event streams, payment records, subscription states, and user journey data. • Own the diagnostic protocol and ensure team members follow structured investigation runbooks. 3. Automation Solution Architecture • Design and oversee automation solutions that resolve recurring issue categories without human intervention. • Architect multi-step pipelines spanning Zendesk triggers, internal API calls, and database state changes. • Define the solution taxonomy (macro vs. API vs. LLM agent vs. DB script) and enforce it across the team. • Approve all automation flows before production deployment; enforce rollback and monitoring standards. 4. LLM & AI Agent Delivery • Lead design and deployment of LLM-based agents capable of diagnosing and resolving issues autonomously. • Define agent architecture for context injection: user profile, subscription state, events, ticket history from DB. • Oversee training loop quality: curate high-quality resolved tickets to improve agent accuracy. • Evaluate agent performance quantitatively; own escalation decisions vs. further automation. 5. Engineering–Support Interface • Act as authoritative translator between support teams (who observe symptoms) and engineering teams (who own systems). • Maintain a shared escalation taxonomy and SLA matrix agreed with both Support Director and Engineering leads. • Own the feedback loop: unit diagnostic output becomes the engineering bug report that ships a fix. • Coordinate with Product, Backend Engineering, and Data teams to secure required system access and API endpoints. 6. Documentation & Knowledge Management • Maintain a live runbook library: automation flows, escalation paths, investigation procedures. • Ensure every automation has a documented failure mode and rollback path. • Create onboarding materials for new automation engineers. What We’re Looking For: • 5+ years in automation engineering, technical support engineering, or platform engineering - with 1–2 years in a team lead or tech lead capacity. • Demonstrated ability to investigate production issues via direct system access: logs, SQL/NoSQL databases, API responses, event streams. • Hands-on experience building LLM-based agents or AI-driven automation (OpenAI API, function calling, embeddings, or equivalent). • Strong Python skills; production-quality scripts for automation, data remediation, and API orchestration. • Experience designing Zendesk automation pipelines (triggers, automations, ZAF apps) or equivalent support platforms. • Event-driven architecture and API integration patterns (REST, webhooks, async queues). • Track record owning support metrics: deflection rate, FCR, CSAT, time-to-resolution. Nice to have: • Low-code/no-code orchestration tools (n8n, Zapier, Make, Rivet) in hybrid architectures. • B2C or subscription-based product background with high user volume and complex billing/access state. • CI/CD pipelines and production-level monitoring for automation systems. • Data engineering concepts: pipeline design, idempotency, retry logic, dead-letter queues. • RAG architectures, vector databases, or knowledge-base-augmented LLM agents. • Experience in a regulated environment (GDPR, PCI-DSS, SOC 2). Why You'll Love Working With Us: Innovative Environment: We're all about trying new things and pushing the envelope in EdTech. We are global remote Health: company-provided medical expense compensation. AI solutions: АІ subscription and other tools. Balance: Flexible paid time off, you get 21 days of annual leave + 10 bank holidays. Collaborative Culture: Work alongside passionate professionals who are as driven as you are. Interview Stages: HR Screen/Introduction Technical Interview Technical Assignment Final Interview

Location: Remote, AMER Workplace: Remote Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. We’re seeking a Customer Solution Architect Team Lead to captain a high-performing team of Customer Solutions Architects and help drive the adoption of Supabase across a diverse range of customers: from agile startups building towards their first launch to established brands with highly scaled workloads. This role will support the East Coast region across the Americas. As the CSA Team Lead, you will be responsible for both people management and customer outcomes - supporting team execution while developing repeatable best practices across pre-sales discovery, proof-of-value onboarding, and technical success. WHAT YOU’LL DO At Supabase, CSA Leads oversee a portfolio of high-value customers by empowering their team to deliver technical excellence and long-term customer success. You'll work directly with the team to: - Hire, coach, and grow a global team of CSAs who serve as trusted technical advisors to our customers. - Collaborate with Sales, Product, and Engineering to define and scale the CSA motion across the full customer journey—from discovery through adoption and renewal. - Create structured onboarding, training, and development plans for CSAs to level up in technical storytelling, Postgres optimization, and customer success strategy. - Ensure CSAs consistently deliver successful outcomes, unblock adoption, and drive value for paid Team and Enterprise accounts. - Work directly with strategic customers when needed—especially during complex escalations, architectural deep dives, or critical onboarding milestones. You'll be joining our team to support Supabase Team & Enterprise customers, where you will be expected to lead and innovate around the following areas of responsibility: PRE-SALES DISCOVERY: - Lead and review technical discovery led by CSAs to uncover business and technical objectives, set appropriate expectations of the Supabase platform, and define the criteria for success. - Guide CSAs in designing and presenting platform demonstrations tailored to high-value customers, helping them clearly articulate the value of the Supabase platform and team. - Collaborate with Growth team members to size deals, provide anticipated usage estimates, and identify potential workloads supported by the Platform. PROOF-OF-VALUE ONBOARDING - Support your team in defining and executing proof-of-value scopes that balance business outcomes with low-friction onboarding. - Ensure CSA-owned timelines, success criteria, and engagement tactics result in a high proof-to-conversion success rate. - Build reusable onboarding flows (email sequences, docs, templates, webinars) that accelerate time-to-value for new customers. CUSTOMER SUCCESS & EXPANSION - Help your team build detailed account plans focused on both short-term adoption and long-term expansion opportunities. - Provide ongoing technical coaching for CSAs conducting architecture reviews, schema design evaluations, and performance tuning for production workloads. - Partner cross-functionally to advocate for customer feedback, share emerging customer needs with Product & Eng, and communicate roadmap milestones back to customers. TRUST & PLATFORM ADVOCACY - Coach CSAs to act as internal and external champions of Supabase, building trust with customers through consistency, clarity, and deep product expertise. - Uphold a standard of excellence in customer engagement, ensuring Supabase becomes embedded in the way our customers build. PREFERRED EXPERIENCE - 6+ years of experience in Solutions Architecture, Technical Account Management, or Database Engineering. - 2+ years of people management or team leadership experience, ideally in a high-growth, technical startup environment. - Strong background with relational databases (PostgreSQL preferred), with a deep understanding of schema design, indexing, and query performance. - Hands-on experience building modern web applications using frameworks like React, Svelte, Vue, or Node.js. - Clear, confident technical communicator and storyteller. Must be able to distill complex technical topics into actionable outcomes for customers and team members alike. - Experience navigating stakeholder alignment, conflict resolution, and collaborative problem-solving across teams. - Familiarity with tools such as HubSpot, BigQuery, and internal BI dashboards. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: New York, NY (HQ); San Francisco, CA 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 Ramp's Strategic Finance team sits at the center of how the company allocates its time and resources. We're hiring across three complementary tracks — and looking for people with sharp financial instincts, a builder's mindset, and the drive to take on a large scope quickly. Whether you lean toward GTM strategy, FP&A infrastructure, or broad strategic partnership, this is a rare opportunity to shape a pre-IPO company at a pivotal moment in its growth. WHAT YOU'LL DO - Build and own detailed financial and operational models with the highest quality and accuracy - Use data to influence key strategic decisions across Product, GTM, and business leadership - Lead planning analyses for cross-functional teams, evaluating tradeoffs across growth, efficiency, and resourcing - Identify and develop KPIs; build dashboards to monitor performance and communicate insights to stakeholders - Partner closely with business leaders to translate strategy into execution and drive accountability - Help run bi-annual budgeting and headcount planning cycles - Manage company performance against financial targets — identifying where to course-correct and where to accelerate - Build and maintain internal tools that reduce manual work and improve data accuracy across the finance org WHAT YOU NEED - 1–4 years in Investment Banking, Management Consulting, VC/PE, or Corporate Finance at a top-tier technology company - Excellent financial modeling and quantitative / data analysis skills - Extreme attention to detail with a high regard for precision - Exceptional verbal and written communication skills - Track record of developing and maintaining relationships with internal and external partners - A "get things done" mentality — you dissect complex problems, find solutions, and drive them to completion with a high degree of autonomy - Comfort operating in ambiguity and adapting to evolving priorities NICE TO HAVES - Expertise with Looker, SQL, and/or Python - Systems thinking — you design processes to be reliable, scalable, and maintainable - Curiosity about AI tools — prior experience is a plus, but not required 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: Cardiff, London or Remote (UK) 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London or Remote (UK) | 💰£100,000 - £133,000 + Benefits | We’re looking for several Product Marketing Leads to set the market intelligence and product strategy for individual product Collectives. At Monzo, Product Marketing is a global product-market fit discipline rather than a GTM discipline. We’re embedded in squads with PMs, Designers and User Researchers, shaping products and propositions by acting as the voice of the market (UK, Ireland, Spain and future markets). We then partner closely with Integrated Marketing, who lead marketing strategy and execution, to bring those propositions to customers. Together, we aim to build and market category-leading products. If that’s your flavour of product marketing, Monzo is for you. This is a player/coach role. You'll own Product Marketing for a Collective: understanding customers, shaping product strategy, defining positioning, and guiding how launches land in the market. If you love influencing what gets built as much as how it's communicated, you'll feel at home here. Where you could join: Wealth is building the future of how people grow their money: helping millions of customers save, invest, and plan for retirement with the same simplicity and trust they expect from their current account. It spans Savings, Investments, Pensions, Insurance, and brand new kinds of wealth-building experiences. This is a role for someone who wants to challenge how traditional wealth products work to make growing money (finally) feel simpler and more useful for everyday customers. MonzOS is the intelligence layer of Monzo: an AI-powered operating system that helps customers find the right product, insight or action at the right moment. It brings together personalisation, recommendations, search and in-app discovery to make Monzo feel more useful every time someone opens the app. This is a role for someone who is excited by the challenge of making Monzo feel simple, trusted and indispensable in people’s financial lives. EU is building Monzo for millions of customers across Europe, taking what people love about Monzo in the UK and making it work brilliantly in new markets. This role will lead consumer market insight and competitor discovery for new countries, while supporting growth in already-live markets like Ireland and Spain. This is a role for someone who loves figuring out how to win a market: turning customer insight, competitor analysis and local context into practical, provocative choices for product and marketing. Key Responsibilities You and your team will… Set strategy for multiple categories. You'll own a one-year product marketing strategy for a complex, multi-product Collective. You will work to define how Monzo wins in multiple categories with multiple products over time. Set the market intelligence agenda. You'll decide what we need to understand about our customers, competitors, and the market. You’ll identify and size opportunities, and build the frameworks other teams use to prioritise and respond. Shape what gets built. You'll use market intelligence to shape product strategy across multiple areas, bringing a perspective that changes what we build and in what order. You'll sit alongside Product leadership, driving commercial outcomes through product differentiation. Define positioning that moves the business. You'll ensure every product starts with a customer problem, differentiated positioning, and a proposition worth talking about. You’ll demonstrate that positioning will shift customer perception and move revenue at scale. Own how we go to market. You'll decide when products launch, with what mechanic, and in what order, so launches across the Collective add up to more than a run of releases. You'll give Integrated Marketing a brief sharp enough that they never have to guess, then feed what the market tells you back into the proposition. Raise the bar for Product Marketing. You'll define what great looks like through high standards, coaching, feedback, and better systems. You'll improve how PMM works by embedding AI into our workflows, tools, and playbooks. On the manager track, you'll also be accountable for the development, performance, and careers of a small team. Great PMMs come from all sorts of places. This is for you if: You think beyond a single product. You're comfortable owning strategy across multiple products and categories, where work spans multiple squads and the decisions have business-wide implications. You own the hardest calls in your domain. You're trusted to make high-stakes positioning and strategy decisions independently, and you're right often enough that Product and Marketing leadership seek your judgement. You're comfortable making difficult trade-offs between commercial needs, customer experience, and competitive urgency when the right answer isn't obvious. You bring senior people with you. You build consensus around difficult decisions, influence senior stakeholders across disciplines, and create clarity out of ambiguity. People look to you for guidance when the path forward isn't obvious. You're a player/coach. You still want to do the hardest strategic work yourself while coaching others through feedback, mentoring, and high standards. Whether or not you're a people manager, your impact is visible in the growth of the people around you. The Interview Process Our interview process involves three main stages: Initial Call (45mins) Case Study Presentation (1hour) x2 final interviews via Google Meet (45mins for each interview) This process should take around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. You’ll hear from us throughout the application process, but if you’ve got any questions, please reach out to hiring@monzo.com. You can also use this email address to let us know if there’s anything we can do to make the process easier for you because of disability, neurodiversity or anything else. What’s in it for you: £100,000 - £133,000 as a base salary This role will be based out of our London office next to Liverpool Street station in a hybrid approach of office based and home working, or remotely within the UK We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. #LI-JB1 #LI-REMOTE Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Location: Berlin, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Founding Backend Engineer(Go) to join one of our clients ' team in Berlin. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Develop and maintain backend applications using Go Design and optimize cloud-based solutions using AWS services (EC2, Lambda, S3, SQS, SNS, etc.) Design, use and manage databases, including PostgreSQL, Neo4J, Redis, and Elasticsearch Develop, manage, and optimize containerized applications using Docker Automate processes using Bash/Python scripting Optimize and maintain RESTful APIs, ensuring security and performance Work closely with frontend engineers, DevOps, and product team to deliver robust applications Monitor, debug, and improve backend performance, reliability, and scalability Implement caching, messaging queues, and event-driven architectures where needed Build whole platform from scratch 5+ years of GoLang experience Hands-on coding mentality; can build things from scratch and familiar with different architectures Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience designing RESTful and gRPC APIs and using frameworks like Gin Hands-on experience with messaging systems (e.g., SQS , Kafka ) Experience with CI/CD pipelines (GitHub Actions or similar) Experience operating PostgreSQL (RDS / Aurora), Neo4J(or similar) Experience with AI agents , LLM-based systems, MCP, RAG, Prompts, Embeddings, Vector, etc Experience with AI stack (AWS Bedrock, LangChain, pgvector or similar) Experience with Infrastructure as Code (Terraform) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Ability to troubleshoot production issues end to end Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Experience supporting production SaaS platforms Strong understanding of SaaS integrations and app-to-app permission flows High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Strong problem-solving skills and ability to work in a collaborative environment Excellent English communication skills Nice-to-have requirements: Experience working with Java Ability to code in Python Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Experience with AWS in production environments Exposure to graph-based modeling (identity graph, access graph, risk graph) Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits: Founding Team Member Equity — ESOPs in a cybersecurity company Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible Founding Team Member Status — shape the company from day one and own critical technical decisions Fresh Funding Secured — immediate runway to build, hire, and execute fast Security Contribution — contribute to security architecture across identity, AI agents, and enforcement High Autonomy — freedom to design and build without corporate overhead Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems Fast Career Path — opportunity evolve into leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems Direct Impact — your architecture and code become the foundation of the entire platform Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum

Location: Mapbox Japan Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  SENIOR/STAFF SOFTWARE DEVELOPMENT ENGINEER, EV PLATFORM Mapboxは、次世代のロケーションベースのビジネスを支える、世界をリードするリアルタイム・ロケーションプラットフォームです。人、モノ、車両の移動をあらゆる場所で支えるために必要なツールを包括的に提供する、唯一のプラットフォームです。 その柔軟性、高いセキュリティ、プライバシーへの配慮が評価され、世界で400万人を超える登録開発者に選ばれています。企業や組織は、Mapboxのアプリケーション、データ、SDK、APIを活用し、それぞれのニーズに合わせた魅力的で没入感のある体験を創り出しています。 WHAT WE DO EV Platformチームは、Mapboxの電気自動車（EV）向けプロダクトを支える、充電インフラのデータ基盤を担っています。世界各地の充電ポイント事業者（CPO）からリアルタイムおよび静的なEV充電ステーションデータを収集・処理し、本番環境でこれらのデータを利用する自動車・モビリティ分野のお客様に、信頼性、正確性、鮮度の高いデータを提供しています。 私たちは、世界中のCPOエコシステムと、お客様がエンドユーザーに提供するナビゲーション体験をつなぐ、データ取り込みパイプライン、品質保証システム、APIの開発・運用を行っています。新たなデータソースの統合から、大規模にデータを提供するシステムの安定稼働まで、データライフサイクル全体をチームで担っています。また、私たちが生成するデータは、Search、Map Data、RoutingをはじめとするMapboxのさまざまなプロダクトやチームで活用されています。そのため、社内でも注目度が高く、幅広い領域に大きなインパクトを与えるチームです。 MapboxのEV向けソリューションについて、詳しくはこちらをご覧ください。 https://www.mapbox.com/ev https://www.mapbox.com/blog/mapbox-for-ev AIが現代のエンジニアリングワークフローにますます組み込まれるなか、私たちは、設計、開発、意思決定の各プロセスにAIを適切かつ効果的に取り入れられるエンジニアを重視しています。選考プロセスでは、日々のエンジニアリング業務でAIをどのように活用しているかについてもお伺いします。 WHAT YOU'LL DO EV PlatformチームのSenior Backend Engineerとして、Mapboxがグローバルに提供するEV充電ステーションデータを支えるデータインフラの開発に携わります。世界各地の充電ポイント事業者（CPO）やデータアグリゲーターから取得したデータを処理するデータ取り込みパイプライン、データの正確性を維持する品質管理システム、そしてお客様や社内チームにデータを提供するAPIなどを担当します。 具体的には、以下のようなプロジェクトに携わります。 - 新たな地域の充電ポイント事業者（CPO）との連携を進め、EV充電ステーションデータのグローバルなカバレッジを拡大する - 複数のデータプロバイダーから取得した充電ステーションデータを照合・統合し、信頼できる単一のデータセットを構築するシステムを開発する - データ取り込みパイプラインの信頼性と処理能力を向上させ、大規模なデータ処理に対応できるよう拡張する - 充電ステーションの各種属性やリアルタイムの利用可能状況の正確性を確保するため、データ検証・品質管理システムを設計する - データの健全性をモニタリングし、修正が必要なデータを検出・可視化するための社内ツールやダッシュボードを開発する - EV充電データを各プロダクトで活用するMapbox社内のチームを技術面から支援する このポジションでは、以下の業務を担当します。 - 拡張性の高いデータパイプラインおよびバックエンドサービスを設計・実装し、デプロイ、耐障害性、オブザーバビリティに関するベストプラクティスに沿って開発・運用する - EV充電データの品質、正確性、カバレッジを評価するための実験を設計・実施する - Mapboxの幅広いプロダクトエコシステムの中で、機能の設計から実装・リリースまで一貫して携わる。コードレビューや設計ドキュメントのレビュー、機能リリースの推進、オンコール対応を担当する - プロダクトオーナー、関連チーム、マネジメントと連携し、今後のデータプラットフォームの方向性を策定・推進する WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 本番環境のバックエンドサービス開発における、3年以上のRustを使用した実務経験と高いスキルをお持ちの方 - AWS上のコンテナベース環境において、高可用性のバックエンドサービスやデータパイプラインを構築した経験をお持ちの方。Docker、ECS、Fargate、Kubernetesなどの利用経験に加え、サービスのモニタリング、インシデント対応、継続的なプロダクト改善に実践的に取り組んだ経験をお持ちの方。ArgoおよびDatadogの利用経験があれば尚可 - パイプライン設計、データ品質の検証、大規模データ処理など、データエンジニアリングに関する知識をお持ちの方 - 耐障害性、整合性、サービスディスカバリなど、分散システムに関する知識をお持ちの方。システムアーキテクチャの設計経験とアーキテクチャに関する理解があり、データ分析やパフォーマンスプロファイリングに基づいてサービスを改善できる方 - チームワークを重視し、協力的な環境の中で周囲と連携しながら業務を進められる方 - 新しいことを学び、知識を積極的に共有する姿勢を持ち、英語で円滑にコミュニケーションできる方 - プログラミングへの高い関心と、品質を重視する姿勢をお持ちの方。自動テストの実装経験をお持ちの方 WHAT WE VALUE このポジションに限らず、Mapboxのすべてのリーダーに共通して求められるコアバリュー https://www.mapbox.com/about/values/に加え、私たちは以下の考え方を大切にしています。 - 課題や新たな可能性に深く向き合い、高い成果を生み出す創造性豊かな人材を大切にしています。 - 一人ひとりが自分らしく働けることを大切にしています。そのために、充実したヘルスケア制度や育児休暇、ライフイベントに柔軟に対応できる働き方を整えるとともに、社員をより良くサポートするための仕組みを継続的に進化させています。 - 社員一人ひとりがそれぞれの役割で、そしてMapboxの一員として活躍するために必要な知識やスキルを身につけられるよう、互いに教え、学び合う環境を重視しています。 - 多様な人材が集まるチームを育てることには大きな価値があると考えています。バックグラウンド、性別、人種・民族、障がいの有無、性的指向などにかかわらず、あらゆる方からのご応募を歓迎します。 このポジションに応募することにより、応募者向けのMapbox Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/をご確認いただいたものとみなされます。応募手続きには、氏名や連絡先などの個人情報のご提供が必要です。これらの情報は、Mapboxが応募を受け付け、選考を行うために必要となります。 Mapboxは、公正かつ公平な採用プロセスの実現に取り組んでいます。法令で保護されるいかなる属性を理由とする差別も行いません。 Mapboxは、敬意に満ち、プロフェッショナルで安全な採用プロセスの提供に努めています。面接や候補者との連絡を含むすべての採用活動は、会社が承認した方法およびチャネルを通じて厳格に実施されます。 SENIOR/STAFF SOFTWARE DEVELOPMENT ENGINEER, EV PLATFORM WHAT WE DO The EV Platform team powers the charging infrastructure data layer behind Mapbox's electric vehicle products. Our services aggregate and process real-time and static EV charging station data from charge point operators around the world, making it reliable, accurate, and fresh for the automotive and mobility customers who depend on it in production. We build and operate the data ingestion pipelines, quality assurance systems, and APIs that sit between the global CPO ecosystem and the navigation experiences our customers ship to end users. The team owns the full data lifecycle, from integrating new data sources to ensuring the operational health of the systems delivering that data at scale. The data we produce flows downstream into many other Mapbox products and teams, including search, map data, and routing, making this a high-visibility team with broad impact across the company. Read more about Mapbox for EV: https://www.mapbox.com/ev https://www.mapbox.com/blog/mapbox-for-ev As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. What You'll Do As a Senior Backend Engineer on the EV Platform team you will be working on the data infrastructure that powers Mapbox's global EV charging station coverage. This includes the ingestion pipeline that processes data from a global network of charge point operators and data aggregators, the quality systems that keep that data accurate, and the APIs that serve it to customers and internal teams. Projects you might take part in: - Expanding global EV charging coverage by integrating with new charge point operators across new regions - Building systems that reconcile and unify charging station data across multiple providers into a single authoritative dataset - Building and scaling the data ingestion pipeline for higher reliability and throughput - Designing data validation and quality systems to ensure accuracy of charging station attributes and live availability - Developing internal tooling and dashboards to monitor data health and surface corrections - Supporting downstream Mapbox teams consuming EV charging data in their products In this role, you will be expected to: - Design and implement scalable data pipelines and backend services, following best practices for deployment, resilience, and observability - Run and design experiments to evaluate the quality, accuracy, and coverage of EV charging data - Participate in end-to-end feature implementation within the larger Mapbox ecosystem; review code and design documents, shepherd feature releases, and participate in an on-call rotation - Work with product owners, partner teams, and management to drive future data platform direction WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - Strong proficiency in Rust (3+ years) for production backend services. - Experience building highly available backend services and data pipelines in container-based environments on AWS, including Docker, ECS, Fargate, or Kubernetes, with hands-on experience in service monitoring, incident triage, and continuous product improvement. Familiarity with Argo and Datadog is a plus. - Knowledge of data engineering concepts, including pipeline design, data quality validation, and large-scale data processing. - Knowledge of distributed systems (fault-tolerance, consistency, service discovery). System architecture experience and understanding of architectural concepts. Ability to improve services based on data analysis and performance profiling. - Being an excellent team player with the ability to work within a collaborative environment. - Enthusiasm for learning and knowledge sharing, supported by strong communication skills in English. - Passion about programming and a strong focus on quality. Implementation of automated tests. WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. By applying for this position, you acknowledge that you have received the Mapbox Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. Mapbox is committed to providing a respectful, professional, and safe recruiting experience. All recruiting activities, including interviews and candidate communications, are strictly conducted through company-approved methods and channels.

Location: Armenia; Spain; Serbia; Poland; Kyiv City; Kyiv; Odesa; North Macedonia Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX, Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for . Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engine

Location: Strava SF Workplace: Hybrid ABOUT STRAVA Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. We are looking for a Staff AI Engineer to join the GenAI + Discovery Platform team at Strava, a team at the core of Strava's AI strategy, responsible for building the shared tooling that enables product teams to ship high value GenAI-powered features at scale. This role sits at the intersection of AI engineering, platform engineering, and server engineering. You will own the systems that make it easy and reliable for all of our product teams to build user facing features on top LLMs at Strava, from shared context, tool management, agent loops, orchestration, data access, search and retrieval to evaluation and ROI frameworks. This is a high-leverage technical role: you're not just building infrastructure, you're building the core understanding of athletes that enable consistent athlete experiences, insight across product surfaces. You'll work closely with product engineers, product managers and data teams to translate cutting-edge AI capabilities into production-ready platforms that facilitate development of AI features that provide value to our athletes. We follow a flexible hybrid model that translates to more than half your time on-site in our San Francisco office — three days per week. WHAT YOU'LL DO: - Build for a Well Loved Consumer Product: Work at the intersection of AI and fitness to launch and optimize product experiences that will be used by tens of millions of active people worldwide. - Build the GenAI + Discovery Platform: Set the vision, Design and the shared genAI platform: LLM, and workflow orchestration, prompt management systems, RAG pipelines, search and retrieval services (vector, hybrid and structured search), and evaluation tooling - Enable Teams to Ship AI Features Faster: Build self-serve interfaces and golden paths so that product and CUJ engineering teams can build GenAI-powered features without deep AI expertise. - Own End-to-End AI Capability Delivery: Drive projects from architecture and interface design through production deployment and monitoring, ensuring correctness, latency, reliability, and cost-efficiency of the AI capabilities your platform serves. - Collaborate Across Engineering, and Product: Work closely with engineers and PMs across different verticals to enable the new features and build the genAI roadmap. inform product teams on how to consume and leverage AI capabilities effectively. - Build from a Rich Dataset: Explore and use Strava's extensive unique fitness and geo datasets from millions of users to inform how AI capabilities can extract actionable insights, improve product decisions, and power novel athlete experiences. YOU WILL BE SUCCESSFUL HERE BY: - Treating AI Platform as a Product: Bringing engineering rigor — versioning, contracts, SLAs, monitoring, and deprecation paths — to AI capabilities and LLM integrations that product teams depend on. You don't ship a prototype; you ship a platform. - Leading as an Owner: Taking end-to-end accountability for the reliability and impact of the systems you build, including their correctness in production, their adoption by downstream teams, and the business outcomes they enable. - Building for Leverage: Designing platforms and tooling that multiply the output of the broader team, reducing the AI infrastructure expertise required for CUJ teams to ship GenAI-powered features. - Collaborating Across Disciplines: Working fluidly with ML engineers, data engineers, data scientists, and product managers to align on model selection, evaluation standards, prompt strategies, and consumption patterns. - Raising the Standard: Helping establish best practices for GenAI system development, responsible AI patterns, and operational health, and mentoring teammates at all levels to do the same. - Being passionate about the work you are doing and contributing positively to Strava's inclusive and collaborative team culture and values. WHAT YOU'LL BRING TO THE TEAM: - 5+ years of experience building and operating complex, production AI or backend systems at scale, with a track record of decomposing large technical problems into well-scoped execution across teams. - Demonstrated experience building AI platform tooling or developer-facing infrastructure ideally for LLM or ML systems with a strong instinct for API design, versioning, and self-serve patterns. - Hands-on experience building with large language models in production: agentic workflows, prompt and context engineering, RAG architectures, embedding pipelines, fine-tuning workflows, or LLM evaluation frameworks and tools like Langchain . - Proficiency in search systems (Elasticsearch/OpenSearch, Vector Search, etc) - Proficiency in backend service development on cloud environments (AWS preferred), using Python, Go. Solid understanding of distributed systems and containerized infrastructure (Kubernetes, Docker). - Strong technical leadership: ability to lead multi-team projects, define technical direction, and grow engineers at multiple levels. - Deep curiosity about the evolving GenAI landscape: model capabilities, agent frameworks, multimodal systems: and strong judgment on where and how to apply them to real product problems. - Strong communication and collaboration skills, with the ability to align cross-functional partners around technical direction and build organizational trust in the platforms your team ships. For information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub. WHY JOIN US? Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together. Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub

Location: IN - Jaipur This role supports the ongoing delivery of agentic AI–enabled automation across document-heavy and operational workflows. The intent is to move critical automation work off a high-cost contractor and into a lower-cost, full-time role without losing execution capability or momentum. The focus is on building and supporting automation.  This is hands-on delivery work that is well understood, repeatable, and already embedded in core operational processes. Responsibilities: Assist in building and enhancing agentic AI workflows that automate multi-step processes such as document intake, data extraction, validation, enrichment, and downstream routing. Support integration of AI / ML and LLM-based models for document classification, entity extraction, and metadata generation, and connect those outputs into end-to-end automated workflows. Build and maintain automation workflows and system integrations across document platforms, workflow engines, and operational systems. Assist with API integrations and data movement, ensuring secure, reliable flow between platforms with appropriate controls and auditability. Support production automation by monitoring workflows, troubleshooting failures, addressing defects, and improving reliability through logging, retries, and validation checks. Work closely with Product, Engineering, and Operations to translate known business requirements into implemented automation and to support ongoing enhancements. Contribute to documentation and standards so workflows are maintainable and not dependent on contractor knowledge. Qualifications: 6+ years of experience in data science, machine learning or AI-related roles, with 3+ years leading cross-functional initiatives at scale Experience operationalizing AI/ML or advanced analytics solutions in production, ideally within financial services, fintech, or data-driven platforms Strong understanding of LLMs, data science, AI/ML, and modern AI architectures, including model evaluation, context engineering, and agentic workflow automation Experience designing and implementing agentic AI workflows, including multi-step AI agents that automate complex processes and integrate with enterprise systems, data, and APIs Experience building or supporting production automation, ideally in document-heavy or regulated environments. Hands-on exposure to AI-driven data extraction, document processing, or NLP-based workflows. Familiarity with workflow orchestration, rules-based automation, and system integrations. Comfortable working within established patterns and under technical direction. Execution-oriented, able to support existing platforms and improve them incrementally. We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday). For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

Location: New York ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are seeking an experienced Commercial Counsel - Channel Partnerships & Alliances to join our US Legal Team. In this role, you will support complex commercial transactions, including SaaS, licensing, and strategic partnerships, while helping the company navigate diverse legal and regulatory frameworks in the rapidly evolving field of artificial intelligence. In the Commercial Counsel - Partnerships role specifically, you will work on partnership arrangements including ISV integrations, SI alliances, reseller channels, and strategic referral networks. You will work closely with global colleagues to provide practical, business-oriented advice that enables growth while managing risk across multiple jurisdictions. RESPONSIBILITIES - Own end-to-end legal strategy and execution for ElevenLabs’ partnership ecosystem, including ISV and platform integration agreements, systems integrator and consulting partnerships, channel partner programs, reseller and distribution arrangements, marketplace agreements, embedded and OEM-style arrangements, and strategic alliance structures. - Draft, review, and negotiate commercial agreements, with a primary focus on Partnerships deals and enterprise customer contracts - Serve as the primary legal partner to ElevenLabs’ Partnerships team, providing strategic counsel that balances risk management with speed-to-market and aggressive growth objectives. - Design, maintain, and continuously improve scalable partnership templates, playbooks, approval workflows, and contracting infrastructure that enable the business to evaluate and execute deals efficiently. - Provide clear, pragmatic, and commercially focused legal advice to cross-functional teams, tailoring advice to enable responsible growth and innovation. - Contribute to scaling the Legal Team’s commercial function, fostering a collaborative, solutions-oriented team culture. - Build scalable legal infrastructure for global partner motions, including reseller frameworks, marketplace terms, partner program agreements, approval workflows, and operational playbooks. WHO YOU ARE - Curious about the future of AI and emerging technologies, have a strong sense of ownership with enthusiasm for applying your legal expertise to cutting-edge products. - Experienced in navigating fast-paced, high-growth environments, with the ability to manage ambiguity and make informed, timely decisions. - Experience supporting complex partner business models including reseller, referral, MSP, OEM, embedded, white-label, and marketplace structures. - Comfortable working independently while collaborating effectively with cross-functional and global colleagues. - Proactive, business-minded, and committed to delivering practical solutions that support both compliance and commercial success. - Experience negotiating with major systems integrators and consultancies (e.g., Accenture, Deloitte, PwC, Big 4) and leading ISVs and cloud platforms. - Hunger to be exceptional at your job. WHAT YOU BRING - J.D. and active membership in at least one U.S. State Bar (NY preferred). - 7+ years of relevant post-qualification legal experience (in-house experience in technology or SaaS strongly preferred). - Proven track record drafting and negotiating complex technology and partnership agreements—ISV, SI, reseller, channel, marketplace, OEM/embedded, and strategic alliance arrangements. - Strong knowledge of enterprise software licensing, SaaS, data protection, and intellectual property. - Experience designing and launching channel partner, reseller, or marketplace programs from the ground up. - Excellent communication, stakeholder management, and problem-solving skills. - Comfort in fast-paced environments with shifting priorities and tight deadlines LOCATION This role is remote and can be executed in the United States. We have a strong preference for the Eastern time zone, ideally New York. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: San Francisco, CA, USA About the Role Chime is looking for a hands-on engineering leader to guide the Disputes Automation Tooling team within Trust & Safety. As a Tech Lead Manager, you’ll lead a squad of 3–5 engineers, set the hiring bar, coach and develop talent, and own execution and delivery. You’ll also remain deeply involved in the technical work, writing and shipping production code alongside your team. The Disputes Automation team owns the end-to-end automation that processes a dispute claim, from ingestion through investigation to resolution. You'll partner closely with Product, Operations, Legal, and Compliance to make sure every claim is handled accurately, consistently, and within regulatory requirements. As our member base grows, the team's focus is scaling these automation capabilities to bend the cost to serve, while keeping the platform stable and compliant. In this role, you can expect to Drive technical design and architectural decisions, while mentoring engineers and fostering cross-functional collaboration Lead and contribute to multiple projects simultaneously, balancing ownership of key initiatives with support across broader team efforts Build and maintain robust, low-latency APIs and backend services that power our Trust and Safety platforms Become the domain expert in our platform architecture, providing technical decisions and solutions to refine our maturing platforms Partner with data engineers, analysts, and product managers to ship impactful features that enhance member protection and experience Improve platform reliability and performance through thoughtful system architecture, observability practices, and automation Evolve our experimentation, policy lifecycle, and ML integration capabilities to support smarter and faster decision-making at scale Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary. To thrive in this role, you have 5+ years of experience developing software in a production environment at scale Prior experience serving as a technical lead for a team and on complex projects—driving architectural decisions, coordinating execution, and aligning cross-functional teams Proven experience with Ruby on Rails or comparable frameworks Experience with transactional databases and caching systems Deep understanding of architectural patterns for large-scale web applications Commitment to mentoring engineers and fostering team development An appreciation of maintainable and well-tested code Curiosity and passion for diving deeply into system architectures and technical challenges Experience in fast-paced or early-stage environments is a strong plus #LI-Onsite #LI-MB1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $199,000 — $275,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .