Menlo Ventures

The Company You'll Join Carta connects founders, investors, and limited partners through world-class software, purpose-built for everyone in venture capital, private equity and private credit. Trusted by 65,000+ companies in 160+ countries, Carta's platform of software and services lays the groundwork so you can build, invest, and scale with confidence. Carta's Fund Administration platform supports 9,000+ funds and SPVs, representing nearly $185B in assets under management, with tools designed to enhance the strategic impact of fund CFOs. Recognized by Fortune, Forbes, Fast Company, Inc. and Great Places to Work, Carta is shaping the future of private market infrastructure. Together, Carta is creating the end-to-end ERP platform for private markets. Traditional ERP solutions don't work for Private Funds. Private capital markets need a comprehensive software solution to replace outdated spreadsheets and fragmented service providers. Carta's software for the Office of the Fund CFO does just that - it's a new category of software to make private markets look more like public markets - a connected ERP for private capital. For more information about our offices and culture, check out our Carta careers page . The Problems You'll Solve At Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places. We believe that the problems we solve today unlock the opportunities of tomorrow. As a Senior Machine Learning Engineer II at Carta, you'll spend your time building agentic systems to power new products, automate complex document workflows, and accelerate Carta's business. You will also work closely with the SRE team to develop Carta's infrastructure around LLM integration and agentic processes. Example responsibilities will include: Develop agentic systems to classify, extract and review data from complex financial and legal documents. Develop agentic systems for document acquisition and management. Partner with product managers, engineers, designers, and business teams to incorporate agentic and LLM-powered products and user-flows. Own, coordinate, and solve complex, cross-functional problems that extend beyond the traditional boundaries of machine learning. The Team You'll Work With At Carta, our Machine Learning team is on a mission to power data products and automation through cutting-edge techniques. We work closely with Carta's core business units and product teams to develop LLM-powered and agentic systems for document intelligence, fund administration, legal tech, customer onboarding and more. This role is foundational to our team, where you'll work with one of the world's most valuable datasets and document repositories. Our systems directly enable revenue growth and operational efficiency for the company. Our team consists of specialized Machine Learning scientists and engineers, collaborating with product analytics and data engineering experts. We foster a culture of partnership, working closely with teams across Carta to solve impactful problems. We strongly believe that being helpful accelerates results, and we support one another to achieve success at Carta. The Impact You'll Have You will own significant projects that directly align with the company's strategic initiatives in agentic systems, AI adoption and document intelligence. Your contributions will empower leaders across the organization to deliver innovative products, optimize operational efficiency, and make well-informed product decisions. Additionally, you will have the opportunity to develop foundational infrastructure for our team and establish best practices for integrating our agentic and LLM-powered systems into production environments. Your work will not only impact Carta's current machine learning capabilities but also pave the way for future engineers, enabling them to build upon your efforts seamlessly. About You Candidates must have a strong foundation in machine learning and software development, be proficient in Python, and have an analytical mindset. You have a strong bias towards simplicity, are excited by "zero to one" projects, and can efficiently communicate findings to leadership. Example traits that we value: 8+ years of industry experience solving complex data problems with descriptive and predictive statistical models Proficiency with AI-assisted software development, multi-agent development, skills & AI integration into development processes Experience with large language models (LLMs) and their applications in document intelligence Experience using LLMs and agentic frameworks such as Agno, Anthropic's Agent SDK, Strands Agents SDK, A2A, LangChain or similar Experience with LLM observability and evals platforms such as Braintrust, Weights&Biases, LangFuse or similar Strong written and verbal communication skills A collaborative attitude and a helpful personality Experience building durable workflows in e.g. Temporal Disclosures: We are an equal opportunity employer and are committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, please connect with the talent partner via email. Carta uses E-Verify in the United States for employment authorization. See the E-Verify and Department of Justice websites for more details. For information on our data privacy policies, see Privacy , CA Candidate Privacy , and Brazil Transparency Report . Please note that all official communications from us will come from domain. Report any contact from unapproved domains to .

The Company You'll Join Carta connects founders, investors, and limited partners through world-class software, purpose-built for everyone in venture capital, private equity and private credit. Trusted by 65,000+ companies in 160+ countries, Carta's platform of software and services lays the groundwork so you can build, invest, and scale with confidence. Carta's Fund Administration platform supports 9,000+ funds and SPVs, representing nearly $185B in assets under management, with tools designed to enhance the strategic impact of fund CFOs. Recognized by Fortune, Forbes, Fast Company, Inc. and Great Places to Work, Carta is shaping the future of private market infrastructure. Together, Carta is creating the end-to-end ERP platform for private markets. Traditional ERP solutions don't work for Private Funds. Private capital markets need a comprehensive software solution to replace outdated spreadsheets and fragmented service providers. Carta's software for the Office of the Fund CFO does just that - it's a new category of software to make private markets look more like public markets - a connected ERP for private capital. For more information about our offices and culture, check out Carta careers page. The Problems You'll Solve At Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places. We believe that the problems we solve today unlock the opportunities of tomorrow. As a Senior Machine Learning Engineer II at Carta, you'll spend your time building agentic systems to power new products, automate complex document workflows, and accelerate Carta's business. You will also work closely with the SRE team to develop Carta's infrastructure around LLM integration and agentic processes. Example responsibilities will include: Develop agentic systems to classify, extract and review data from complex financial and legal documents. Develop agentic systems for document acquisition and management. Partner with product managers, engineers, designers, and business teams to incorporate agentic and LLM-powered products and user-flows. Own, coordinate, and solve complex, cross-functional problems that extend beyond the traditional boundaries of machine learning. The Team You'll Work With At Carta, our Machine Learning team is on a mission to power data products and automation through cutting-edge techniques. We work closely with Carta's core business units and product teams to develop LLM-powered and agentic systems for document intelligence, fund administration, legal tech, customer onboarding and more. This role is foundational to our team, where you'll work with one of the world's most valuable datasets and document repositories. Our systems directly enable revenue growth and operational efficiency for the company. Our team consists of specialized Machine Learning scientists and engineers, collaborating with product analytics and data engineering experts. We foster a culture of partnership, working closely with teams across Carta to solve impactful problems. We strongly believe that being helpful accelerates results, and we support one another to achieve success at Carta. The Impact You'll Have You will own significant projects that directly align with the company's strategic initiatives in agentic systems, AI adoption and document intelligence. Your contributions will empower leaders across the organization to deliver innovative products, optimize operational efficiency, and make well-informed product decisions. Additionally, you will have the opportunity to develop foundational infrastructure for our team and establish best practices for integrating our agentic and LLM-powered systems into production environments. Your work will not only impact Carta's current machine learning capabilities but also pave the way for future engineers, enabling them to build upon your efforts seamlessly. About You Candidates must have a strong foundation in machine learning and software development, be proficient in Python, and have an analytical mindset. You have a strong bias towards simplicity, are excited by "zero to one" projects, and can efficiently communicate findings to leadership. Example traits that we value: 8+ years of industry experience solving complex data problems with descriptive and predictive statistical models Proficiency with AI-assisted software development, multi-agent development, skills & AI integration into development processes Experience with large language models (LLMs) and their applications in document intelligence Experience using LLMs and agentic frameworks such as Agno, Anthropic's Agent SDK, Strands Agents SDK, A2A, LangChain or similar Experience with LLM observability and evals platforms such as Braintrust, Weights & Biases, LangFuse or similar Strong written and verbal communication skills A collaborative attitude and a helpful personality Experience building durable workflows in e.g. Temporal Disclosures: We are an equal opportunity employer and are committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, please connect with the talent partner via email. Carta uses E-Verify in the United States for employment authorization. See E-Verify and Department of Justice websites for more details. For information on our data privacy policies, see Privacy, CA Candidate Privacy, and Brazil Transparency Report. Please note that all official communications from us will come from domain. Report any contact from unapproved domains to .

Overview Contentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers' whole online journey. We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We're here to stay-and we're looking for team members who are excited to drive impact and help us scale even further. Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler-for our customers, their customers, and each other. Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. Any communication from our in house Talent Acquisition team will only ever come from our domain. For more information, visit our careers blog. What you'll do Strategic Alignment: Understand the vision of the different product groups you support and ensure that your team's focuses on the highest priority topics. Showcase critical thinking by advising the Product SVP on which analyses and monitoring would be most beneficial given the current knowledge gaps and desired impacts. Complex Project Management: Direct the execution of complex initiatives involving multiple stakeholders, ensuring the team delivers timely, actionable insights. Collaboration or dependencies might include technical teams, such as information systems, data ingestion and engineering, or business teams such as customer success, sales, lifecycle and implementation teams. Team Leadership: Develop and retain talent by identifying and nurturing individual strengths and career aspirations for your three analysts. Align with them on clear OKRs and projects to tackle during the quarter, as well as providing ongoing feedback on their analyses, ensuring they focus on high-impact work with an optimized time-to-insight. Data Empowerment: Identify weaknesses in data empowerment across the product lines. Guide and empower product teams with advanced methodologies and analytical tools to foster a data-driven culture. Provide training and support to ensure teams can independently leverage data insights in their decision-making processes. Strategic Collaboration: Partner with product research leaders to establish direction and purpose, and work with Product Directors/VPs to advocate for insights-driven decision-making. What you'll need to succeed Proficiency in statistical analysis, data modeling, and data visualization. Ability to interpret complex data sets and translate findings into actionable insights. Experience with data analysis, data modeling and visualization tools (SQL, DBT, Excel, Tableau, or similar software). Expertise in creating advanced data visualizations that effectively communicate complex insights to a broad audience, including dashboards and interactive reports. Capacity to identify issues, analyze root causes, and develop effective solutions. Ability to approach problems methodically and think critically. Meticulous in analyzing data and ensuring accuracy. Ability to validate findings thoroughly and maintain high standards in data integrity and reporting. Ability to convey complex data insights clearly and effectively to non-technical stakeholders. Strong written and verbal communication skills for reporting and presentations. Experience working in cross-functional teams, including product managers, engineers, and designers. Ability to build relationships and influence stakeholders at all levels of the organization. Strong organizational skills and the ability to manage multiple projects simultaneously. Experience with project management tools and methodologies. Management Experience: Some experience managing data analyst(s), even better if you have managed a team of product analysts, aligning them to a strategic vision without requiring constant guidance. Understanding of business strategy and how data-driven insights can support and enhance product and business goals. Ability to align data analysis with business objectives. You'll need to have a prior experience as a data analyst and to hold a business or engineering degree. What makes you stand out Previous experience of working closely with product leaders to understand the full product lifecycle and strategic considerations, and good knowledge of SaaS Product metrics. Understanding of machine learning concepts and experience with implementing predictive models to forecast product performance and user behavior. Being able to be hands on to unblock your team, as well as being a strategic communicator. You have a prior experience using Contentsquare platform or another similar tool. Why you should join Contentsquare We invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits. We are always assessing the perks we offer to ensure we're aligned with the employees' needs. Here are a few we want to highlight: Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year Work flexibility: hybrid and remote work policies Generous paid time-off policy (every location is different) Lifestyle allowance A Culture Crew in every country we're based in to coordinate regular activities for employees to get to know each other and bond outside of work Every full-time employee receives stock options, allowing them to share in the company's success We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts And more benefits tailored to each country Contentsquare is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Your personal data is used by Contentsquare for recruitment purposes only. Read our Job Candidate Privacy Notice to find out more about data protection at Contentsquare and your rights. You can exercise your rights by using our dedicated Data Subject Rights Portal here. Your personal data will be securely stored in our hosting provider's data center in Oregon (US west). We have implemented appropriate transfer mechanisms under applicable data protection laws. Contentsquare may use AI-assisted tools to help review and screen applications. All decisions involving hiring are made by human reviewers, and your personal data will be processed in accordance with our Candidate Privacy Policy.

Requisition ID: FEQ427R217 Sr. Solutions Architect (Lakewatch - EMEA) The Solutions Architect (Lakewatch) team executes on Databricks' strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go to market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product line in a meaningful way. The Lakewatch product line requires the following core technical competencies: 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer facing security solutions (of which 3+ years are in a customer facing, pre sales or consulting role). Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation. Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable. Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF. Experience with "detection as code" workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping. Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities. The impact you will have Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment. Collaborate with GTM leadership and account teams to design and execute high impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement. As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision. Enable clients at scale through workshops, POC execution, and developing customer facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture. Influence product roadmap by translating field derived, data driven insights into strategic recommendations for Product and Engineering teams. Handle the most complex technical challenges in this product line by acting as the tier 3 escalation point for the field, ensuring customer success in mission critical security environments. Establish and refine the sales qualification and POC intake process, ensuring well scoped engagements that maximize customer success and minimize friction for R&D. Competencies & Responsibilities 5+ years in a customer facing, pre sales or consulting role influencing technical executives, driving high level security strategy and product adoption. Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation. Proficient in programming, debugging, and problem solving using SQL and Python and with AI tools. Experience collaborating with Global System Integrators (GSIs) and third party consulting organizations to drive customer outcomes in cybersecurity. Hands on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud native security logging and monitoring. Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming. Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

A leading technology firm in Greater London is seeking a Sr. Solutions Architect to drive product adoption in cybersecurity. You'll provide technical leadership, engage with clients to foster relationships, and work on strategic implementations. The ideal candidate has 5+ years in customer-facing roles, experience with AI applications, and strong knowledge of SIEM platforms. This role requires collaboration with various stakeholders to enhance product offerings and influence direction based on client feedback. Expect to work within a dynamic and inclusive environment.

REQ ID: FEQ227R246 Location: London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer centric mindset guide us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world class, cross functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges. Join us in our quest to change how people work with data and make a better world! The impact you will have: Engage with some of Databricks' most complex customers to help them achieve their unified platform goals. Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts. You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline. You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited about the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for: Know how to engage in complex customer interactions and sales lifecycle in a technical pre sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our Utilities customers, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. You will have a builder mindset, you instinctively prototype, create demos, and craft tailored solutions rather than relying only on slide decks. You turn customer challenges into hands on proof points that accelerate confidence. You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments. Ability to influence influential decision makers and C level executives through developing relationships and orchestrating teams to achieve long term success for customers. Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark. Hands on expertise with complex proofs of concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape. Nice to have: Databricks Certification Up to 30-40% travel to London offices and customer sites Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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 Claude has your back. AIRE has Claude's. Help us keep Claude reliable for everyone who depends on it. AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity. Design and implement monitoring and observability systems across the token path. Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements. Support the reliability of safeguard model serving critical for both site reliability and Anthropic's safety commitments. You may be a good fit if you Have strong distributed systems, infrastructure, or reliability backgrounds we're looking for reliability-minded software engineers and SREs. Are curious and brave comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet. Think holistically about how systems compose and where the seams are. Can build lasting relationships across teams our engagement model depends on being welcomed as teammates, not outsiders with opinions. Care about users and feel ownership over outcomes, even for systems you don't own. Have excellent communication and collaboration skills you'll be partnering across the entire company. Bring diverse experience the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between. Strong candidates may also Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems Have experience operating large-scale model serving or training infrastructure (>1000 GPUs). Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium). Understand ML-specific networking optimizations like RDMA and InfiniBand. Have expertise in AI-specific observability tools and frameworks. Have experience with chaos engineering and systematic resilience testing. Have contributed to open-source infrastructure or ML tooling. 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 £325,000-£390,000 GBP Logistics Education requirements We require at least a Bachelor's degree in a related field or equivalent experience. 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. 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 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 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

Menlo Ventures is looking for a Resident Solutions Architect to join our Professional Services team. This role involves working closely with clients on their big data challenges using the Databricks platform. The ideal candidate will have extensive experience in data engineering, be comfortable coding in Python or Scala, and possess strong client management skills. Some travel to client sites may be required. Join us to help organizations maximize the value of their data.

About the Role We are building a new engineering team focused on handling high priority customer needs and operational escalations while protecting the broader engineering organization from disruption. Customer Platform Engineering The Customer Platform Engineering (CPE) team addresses urgent investigations, customer blocking issues, executive requests, and rapid solution development that require immediate engineering attention. This team ensures that core engineering groups can remain focused on roadmap delivery while critical issues are resolved quickly and effectively. Members of this team act as experienced generalists who can move across systems, diagnose complex problems, and coordinate with multiple teams to deliver solutions under time pressure. Responsibilities Triage and resolve urgent customer escalations and production issues Investigate complex system behavior and diagnose cross service problems Develop rapid prototypes and proofs of concept to address customer needs Support pre sales engineering with technical validation and feasibility analysis Respond to high priority internal requests requiring rapid engineering response Coordinate with multiple engineering teams to unblock critical work Implement targeted fixes and document findings for long term product improvements Identify systemic issues and recommend structural improvements to core engineering teams Contribute to internal tooling, runbooks, and operational processes that improve response time and reliability Leverage modern AI engineering tools to accelerate investigation, debugging, and solution development Scope of Work Urgent investigations Customer blocking issues Cross team coordination Rapid solution development Qualifications 6+ years of software engineering experience Strong proficiency in GoLang and/or Python Strong troubleshooting and debugging skills across distributed systems Ability to quickly understand and work within unfamiliar codebases Experience working across multiple layers of the stack (backend, frontend, infrastructure, APIs, data systems) Strong communication skills and ability to coordinate across teams Comfortable working in high priority, time sensitive situations AI & Developer Productivity Proficiency using modern AI assisted development tools (e.g., Claude, Copilot, ChatGPT) to accelerate coding, debugging, and investigation Ability to effectively prompt, validate, and integrate AI generated solutions while maintaining strong engineering judgment Experience incorporating AI tooling into engineering workflows to improve speed and operational effectiveness Preferred Experience supporting enterprise SaaS products Experience with production incident response or escalation engineering Familiarity with cloud platforms and modern infrastructure (e.g., Kubernetes, AWS, GCP) Employee Benefits Competitive compensation with equity and 401k Comprehensive healthcare with dental and vision coverage Flexible paid time off and paid holiday time off 12 weeks of new parent or family leave Personal and professional development resources Equal Opportunity At Obsidian, we are proud to be an equal opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact . Information collected and processed as part of any job applications you choose to submit is subject to Obsidian's Applicant Privacy Policy.

Menlo Ventures is looking for an experienced software engineer to join our new Customer Platform Engineering team. You will address urgent investigations, customer-blocking issues, and rapid solution development that require immediate engineering attention. The ideal candidate has over 6 years of experience with strong proficiency in GoLang and Python, and the ability to communicate effectively across teams. The role offers competitive compensation, comprehensive healthcare, and flexible paid time off.

A technology firm in London is seeking a candidate to use technical skills to showcase their Data Intelligence Platform. You will work with a collaborative team to create solutions for complex data challenges. The role emphasizes innovation and a customer-centric approach, contributing to transforming how businesses interact with data. This is an exciting opportunity to be part of a mission-driven organization aiming to enhance decision-making processes for customers.

Overview JOB ID: FEQ227R179 Location: London, UK At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You will work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering.

Menlo Ventures is looking for a Senior Analytics Engineer to join our UK Engineering team in Bristol. This role focuses on building and maintaining high-quality analytical data models, working closely with cross-functional teams to ensure data quality, and creating optimized data models for efficient querying. Key qualifications include proficiency in SQL, data transformation, experience with dbt and BI tooling like PowerBI or Looker. Enjoy benefits such as 25 days annual leave, flexible working, and a supportive culture.

Location Bristol, UK Employment Type Full time Location Type Hybrid Department Engineering Senior Analytics Engineer - UK We are looking for a Senior Analytics Engineer to join our UK Engineering team. The role focuses on building and maintaining analytical data models, collaborating with cross functional teams, and driving data quality and performance across our platform. Responsibilities: Design, build and maintain high quality datasets for engineering and reporting. Collaborate closely with engineers to assess and mitigate the impact of upstream product changes. Apply domain knowledge to develop semantic layers for business intelligence. Develop data models optimized for efficient querying over large datasets for reports embedded within our main platform. Qualifications : Proficient in transforming, testing and documenting data while maintaining robust data lineage. Knowledgeable in data modelling, data access, and data storage techniques. Experience following software engineering best practices such as version control and continuous integration. Strong proficiency using SQL in cloud data warehouses (Snowflake) with performance optimisation, data partitioning and window functions. Ability to operate effectively and autonomously across multiple teams in ambiguous situations, given high level direction. Experience with dbt for data transformation layer. Experience with BI tooling such as PowerBI or Looker. Experience with AWS, Azure or GCP is a plus. Benefits: 25 days annual leave + 2 volunteering days and birthday off; up to 30 days after five years of service. Flexible and remote working options. Enhanced parental leave, mindfulness groups, critical illness cover, 7 % matched pension, private healthcare plan. Career and learning development through a dedicated professional development fund and an ongoing 'Learn Anything' fund. Recognition and rewards for doing great work and living our values. Flexible start and finish times and reduced hours options. Vibrant team culture with events and social activities. Easy access to the UK hub, railcard loan and cycle scheme. We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, supportive place for you to be you and do your very best work.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users - demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning Partner across teams to ensure new compute capacity is ingested on time Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity Collaborate with security owners to ensure clusters are provisioned secure-by-default Define and drive strategy on cluster scalability, homogeneity and fault tolerance Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications 8+ years of software engineering experience, including time as a technical lead setting direction for a team Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes) Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like) Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield) Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS) Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows) Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems Annual Salary The annual compensation range for this role is listed below. Annual Salary: £325,000 - £485,000 GBP 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.

Join Axon and be a Force for Good At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Dedrone - Global Leader in Smart Airspace Security Dedrone, now part of Axon, is the global leader in smart airspace security, protecting critical infrastructure, military installations, and public spaces worldwide. Our comprehensive command and control (C2) solution safeguards hundreds of commercial, government, and military customers from unauthorized drone threats while enabling secure drone operations. Through AI-powered technology, we deliver continuous, autonomous drone detection, tracking, and mitigation capabilities, all unified on a single integrated platform. Our battle-tested solutions combine multi-sensor detection and mitigation options to defend against emerging airspace threats, while supporting authorized drone operations including public safety and first responder missions. As part of Axon's ecosystem, we're advancing both defense and public safety capabilities through innovative airspace security solutions. Whether deployed on premise, air gapped, or in the cloud, Dedrone provides unmatched protection for sensitive sites, facilities, and communities worldwide. Your Impact As Principal Product Manager for International at Dedrone, you will lead the product strategy, localization, and go to market execution for Dedrone's expanding international business. This senior leadership role bridges product, business development, and delivery-ensuring that Dedrone's counter drone solutions meet the unique regulatory, operational, and market requirements of customers across Europe, the Middle East, Asia Pacific, and beyond. You will be the voice of the international customer within the product organization, shaping roadmap priorities, driving partnerships, and ensuring successful deployments in diverse and complex operating environments. This role demands broad product management experience across both hardware and software, strong business acumen, cultural fluency, and the ability to navigate international defense and commercial markets. What You'll Do Location: United Kingdom Reports to: VP of Product Direct Reports: N/A International Product Strategy: Define and drive the international product strategy, ensuring Dedrone's product roadmap reflects the needs, priorities, and constraints of key international markets. Identify market specific opportunities and gaps that inform product investment decisions. Market Expansion and Go to Market: Partner with business development, sales, and marketing teams to develop go to market strategies for new international markets. Provide product expertise to support proposals, demonstrations, and customer engagements. Customer and Stakeholder Engagement: Build and maintain relationships with international customers, partners, government agencies, and defense organizations. Serve as a trusted product advisor who understands their operational environments and requirements. Product Localization and Compliance: Drive product localization efforts including language, regulatory compliance, export control, and certification requirements for international markets. Ensure products meet local standards and customer expectations. Delivery and Deployment Oversight: Oversee international product delivery and deployment, working with project management, engineering, and field services teams to ensure successful customer outcomes. Drive continuous improvement in deployment processes and customer satisfaction. Cross Functional Coordination: Act as the connective tissue between international field teams and Axon based product and engineering organizations. Ensure international customer feedback and requirements are represented in product planning and prioritization. Partnership and Ecosystem Development: Identify and cultivate strategic technology partnerships, integration opportunities, and channel relationships that strengthen Dedrone's international market position. Business Analysis and Reporting: Develop business cases for international product investments. Track and report on international product performance, market trends, and competitive dynamics to inform strategic decisions. Thought Leadership: Represent Dedrone at international conferences, trade shows, and industry events. Contribute to the company's reputation as a global leader in airspace security. What You Bring Must Have Bachelor's degree in business, engineering, international relations, or related field, or equivalent relevant experience. Advanced degree (MBA or similar) preferred. 8+ years of product management or related experience, with significant exposure to international markets and cross cultural business environments. Demonstrated experience working across both hardware and software product domains, with the ability to engage credibly with engineering teams on technical topics. Strong business acumen with experience in market analysis, go to market strategy, partnership development, and business case creation. Excellent communication and relationship building skills, with the ability to influence across cultures, time zones, and organizational boundaries. Experience navigating international regulatory environments, export controls, and defense procurement processes. Willingness to travel internationally (estimated %). Nice to Have Experience in the defense, aerospace, or public safety industry, particularly with counter UAS, surveillance, or C2 systems. Familiarity with European, Middle Eastern, or Asia Pacific defense markets and procurement processes. Experience managing product delivery and deployments in international or multi site environments. Proficiency in one or more additional languages beyond English (German, French, or Arabic particularly valued). Existing or ability to obtain relevant security clearances (UK SC, NATO, or equivalent). Work Location This role is based in the United Kingdom. We believe in being together when it matters and empowering our team to work where they're most effective. This position will require regular collaboration with international teams across multiple time zones, as well as travel to customer sites, partner locations, and Dedrone offices globally (estimated % travel). Benefits Competitive salary and pension contribution Generous paid time off Paid parental leave for all Private medical insurance Fitness and wellness programs Emotional & Mental Wellness support Learning & Development programs Diversity, Equity & Inclusion We are committed to building diverse teams that reflect the communities we serve. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply. Important Notes The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Privacy and Compliance We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at or via the Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of the Applicant and Candidate Privacy Notice. Safety and Environment Axon's mission is to Protect Life and is committed to the well being and safety of its employees as well as the environmental impact. Employees are empowered to report safety concerns as they arise and activities potentially affecting the environment. Equal Opportunity Statement We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We'll hire the best talent regardless of race, creed, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by law. Applicant Assistance For accommodation during the application process, contact . This email address is for accommodation purposes only. Phishing Alert Axon will never ask you to pay for any part of the hiring process. Legitimate job openings are listed on our official careers page. If you receive a suspicious offer or outreach from an email not or if you're asked for sensitive personal information (bank details, SSN) prematurely, please ignore the message and report it to .

A leading data and AI company is seeking a Field CTO in London to engage with technical founders and CTOs at high-growth startups. You'll leverage your extensive experience to drive technical evangelism, foster relationships within the UK startup ecosystem, and navigate rapid innovation cycles. Ideal candidates possess over 10 years in startup leadership, with strong skills in Data Engineering and a deep understanding of the startup landscape. A unique chance to create significant impact in the evolving digital-native environment awaits you.

A leading technology firm in Greater London is seeking a Data Platform Solutions Architect to help customers tackle big data challenges using the Databricks platform. Responsibilities include driving impactful projects, guiding customers through data journeys, and collaborating with cross-functional teams. Ideal candidates should have extensive experience in data engineering, developer skills in Python or Scala, and a solid understanding of cloud ecosystems like AWS or Azure. This role demands strong customer management and documentation skills, with some travel required.

Menlo Ventures is seeking a seasoned professional to drive the technical strategy and roadmap for node lifecycle management. You will manage the ingestion, health checking, and automated repair of AI infrastructure. Candidates should have deep expertise in distributed systems and cloud platforms, alongside strong proficiency in system languages. The position offers an attractive compensation package ranging from £325,000 to £485,000 along with generous benefits including vacation and flexible working hours.

REQ ID: FEQ227R147 Location: London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer centric mindset guides us to create a unified platform that makes data and AI accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. In the UK&I Digital Natives Hunting territory, we move at the speed of the most innovative companies in the world. We don't just sell software; we partner with technical founders, CTOs, and VPs of Engineering at high growth startups to build the future of AI. You will be an essential part of this mission, using your executive level technical credibility and "Hunter" mindset to win mindshare and acquire new logos. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering The impact you will have: Executive Evangelism & Thought Leadership: Act as a "Field CTO," building peer to peer relationships with CTOs, VPs of Engineering, and technical founders at high growth DNBs. You will win technical mindshare in "first meetings" by articulating a vision for Data + AI that aligns with their rapid innovation cycles. Drive the Hunter Motion: Execute the high velocity "Hunter DNA"-obsessing over Time to Value, qualifying out ruthlessly when necessary, and focusing energy on hard to win, prestigious accounts that establish Databricks as the standard for the UK startup ecosystem. Ecosystem Building: Drive awareness within the UK startup and VC ecosystem. You will be the face of Databricks at relevant events, building strategic relationships with VCs, accelerators, and incubators to identify and influence the next generation of "unicorns." Strategic Technical Discovery: Move beyond traditional "hands on" SA work to focus on high level architecture and strategic road mapping. You will bridge complex business requirements with technical solutions, ensuring that the Databricks Intelligence platform is seen as a strategic enabler of a startup's core product. Regional Mentorship: Be a role model and mentor for the wider Field Engineering team, specifically coaching Solutions Architects on how to engage effectively with CxOs and navigate the unique demands of the digital native segment. Technical Community Engagement: Develop high impact, customer facing collateral, and lead technical seminars or meet ups that position Databricks as a thought leader in Generative AI, LLMs, and modern data stack architecture. What we look for: Startup Leadership & Scaling Experience: 10+ years of professional experience, including significant time spent as a tech co founder, Head of Engineering, VP level leader, or high impact technical contributor within high growth startups. We value the "in the trenches" experience of scaling a business and technical stack from the ground up. While you possess the credibility to engage with senior founders, you maintain a hands on technical edge and aren't afraid to dive into the architecture. Executive Presence: Proven ability to influence and win trust with senior technical stakeholders and C level executives in innovative, fast moving environments. Technical Depth with an Evangelist Spike: Strong technical background (8+ years) in Data Engineering, Data Science, or AI, but with a primary skillset focused on technical evangelism, storytelling, and high level architectural vision rather than tactical delivery. Startup Ecosystem Knowledge: 5+ years of deep familiarity with the startup and VC landscape. You know who the key players are and how to navigate the network of investors, accelerators, and founders. High Velocity Mindset: Experience working with early stage, high growth digital natives where speed, agility, and "Time to Value" are prioritized over traditional enterprise sales cycles. Problem Solving Agility: Ability to innovate technical solutions for specialized customer needs and navigate a competitive landscape where prospects may already be using "greenfield" or bleeding edge tech stacks. Communication Excellence: Exceptional ability to articulate complex technical concepts to both highly technical audiences and business decision makers. Nice to have: Deep expertise in articulating the strategic and commercial value of Generative AI, including Large Language Models (LLMs), RAG architectures, and the shift toward Compound AI Systems. Familiarity with the latest advancements in Agentic Workflows, model fine tuning (Mosaic AI), and efficient inference at scale. Established presence in the technical community (e.g., high impact blog, regular public speaking at major conferences like Data+AI Summit, AWS re:Invent, or significant open source contributions). About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.