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Location: Armenia; Russia; Serbia; Turkey; Georgia; Montenegro Libertex Group Overview Established in 1997, the Libertex Group has helped shape the online trading industry by merging innovative technology, market movements and digital trends. The multi-awarded online trading platform, Libertex, enables traders to access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others. A firm believer in the power of sports to inspire, empower and push for success, Libertex is the Official Online Trading Partner of Audi Revolut F1® Team. We build innovative fintech so people can #TradeForMore with Libertex. Job Overview We are looking for a Senior Machine Learning Engineer who will play a pivotal role in implementing, enhancing, and maintaining our machine learning solutions. Responsibilities: Work closely with business departments (Sales, Marketing, Products, Payments, Dealing) to understand their needs and translate these into practical, scalable, and robust machine learning solutions. Work on such projects like LTV prediction, churn prediction, antifraud solutions, uplift modelling, GenAI-applications (AI agents, chatbots, MCP) Oversee current solutions, manage improvements if needed, expand the role of machine learning across organisation. Implement new and improve current MLOps practices, laying the foundation for efficient and effective model development, deployment, and monitoring. Requirements Great understanding of business and where ML solutions can fit and bring value Technological stack - Python, PyTorch,, SQL (MSSQL, Postgres), ClickHouse, AWS (Sagemaker, Bedrock, EC2, EKS), Docker, FastApi, Kafka, Airflow Establishing and maintaining MLOps practices, including version control for models, automated testing, and CI/CD for ML systems Utilise AWS ML (or similar) services for developing and deploying models General understanding of IT infrastructure, various data source types, development processes etc. Great to have previous experience in applying data science tools to mobile apps, gaming or fintech Intermediate level of English Experience with LLMs (AWS Bedrock, langchain, langgraph, RAG, Agents, MCP). Benefits Quarterly bonuses based on Company performance Generous relocation package for the employee and their immediate family Medical Insurance Plan with coverage for the employee and their immediate family from day one 24 working days of annual leave Yearly reimbursement of travel expenses for the employee and family's flight home Corporate events and team building activities Udemy Business unlimited membership & language training courses Professional and personal development opportunities in a fast-growing environment Libertex Group is an equal opportunity employer, fostering an inclusive and diverse environment. We do not discriminate based on any characteristic protected by the law. Candidate privacy is respected, and all data is securely stored and used solely for recruitment purposes, in line with GDPR and our internal policies. Unsuccessful applicants may have their data retained for future opportunities unless deletion is requested.

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 Sales organization is looking for self-motivated teammates who are excited to learn the craft of outbound selling and help accelerate our growth. As an SMB Sales Development Representative, you will be an early point of contact for prospective customers by researching, engaging, and qualifying finance leaders at growing businesses. This is a foundational sales role for early-career talent. You will build prospecting, discovery, messaging, and account-prioritization skills through structured training, coaching, feedback, and repetition. WHAT YOU’LL DO - Source new sales opportunities through inbound qualification and outbound outreach. - Research companies, prioritize accounts, and identify the right prospects to contact. - Build thoughtful phone, email, and multi-channel campaigns that create relevant conversations with finance leaders. - Qualify prospects through consultative discovery and uncover business challenges before positioning Ramp. - Clearly explain how Ramp can help finance teams simplify spend management, reduce manual work, and gain visibility and control. - Maintain accurate prospect and activity data in Salesforce and other sales tools. - Use AI and other tools thoughtfully to improve research, personalization, and workflow efficiency; validate outputs before using them. - Use coaching, data, and feedback to improve performance and contribute qualified pipeline. WHAT YOU’LL NEED - Strong written and verbal communication skills, with the ability to communicate clearly and concisely. - Curiosity about business challenges and how finance teams operate. - Comfort in a fast-paced, high-volume environment that includes repetition, feedback, and rejection. - A builder mindset: you spot friction, create simple improvements, learn from results, and adapt quickly. - Demonstrated coachability and willingness to ask for help, practice, and improve. - Practical AI fluency and sound judgment when using tools to improve work quality and speed. - A genuine interest in beginning a sales career and building foundational outbound skills. NICE TO HAVES - Customer-facing, sales, fundraising, service, or leadership experience. - Experience working toward goals, metrics, or performance targets. - Familiarity with CRM, outreach, or productivity tools. - Exposure to a high-growth or ambiguous environment. - Interest in finance operations, spend management, or B2B technology. 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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic’s Infrastructure organization is responsible for the systems that train our models, serve our products, and support our engineering teams. That includes datacenter operations, capacity planning across cloud providers and our own facilities, accelerator cluster management, production serving infrastructure, developer tooling, data pipelines, and networking. It’s a lot of surface area, and the demands on it are growing fast. We’re hiring a TPM leader to own program management across this whole ecosystem from compute provisioning through to production workloads. We’re bringing up new datacenters, scaling multi-cloud compute across AWS, GCP, and Azure, managing datacenter construction, and building the software infrastructure to keep pace. The team is growing very quickly, and we’re looking for a senior leader with experience at scale to build and scale this team to support Anthropic’s rapid growth. You’ll report to the Head of TPM, partnering closely with various engineering leaders on technical strategy, roadmapping, and aligning TPM support where it is most impactful. You’ll personally drive 2–3 critical programs while leading your teamin parallel. This is a role where you need to be comfortable doing the work yourself before you can hand it off. What you'll do: IC Program Leadership Own and drive 2–3 of the highest-priority programs across infrastructure while you build the team Run the actual programs—datacenter bring-up timelines, capacity scaling plans, infrastructure migrations, cross-team reliability efforts, or whatever the most pressing needs are Build the processes and playbooks as you go—figure out what works by doing it, then codify it for the team Earn credibility with engineering leads through solid execution, not just strategy Team Building & Development Set the standard for what good TPM work looks like in this domain through your own output Coach and develop TPMs Transition programs to your team as you hire Grow the team with excellent TPMs by defining roles, writing JDs, sourcing candidates, and closing hires Planning & Prioritization Work with various engineering leads to identify work that would most benefit from TPM support Make real tradeoffs about what to staff vs. what to skip given limited TPM capacity during the build phase Maintain portfolio-level visibility across programs—status, risks, dependencies, blockers Represent the team in planning cycles and leadership reviews Cross-functional Coordination Coordinate across Infrastructure and partner teams (Research, Product, Security, Finance, Legal) on programs that span organizational boundaries Drive alignment on programs that cross the hardware/software line—e.g., capacity plans that feed into training schedules, or efficiency work that spans accelerator kernels and serving systems Own executive communication on program status, risks, and resource needs You May Be a Good Fit If You: Have 10+ years of experience in technical program management, with 7+ years directly managing TPMs and ideally some experience leading larger TPM organizations Have built a team or function from scratch before—you know the difference between hiring for a defined role vs. figuring out what the roles should be Have scaled TPM teams to support rapidly-growing, fast-moving company environments Have worked across physical and software infrastructure—datacenters, networking, hardware ops, distributed systems, cloud platforms, developer tooling. You don’t need to be deep in all of it, but you need to be conversant enough to ask the right questions and spot the real risks. Have run large-scale compute or infrastructure programs—capacity planning, cluster deployments, datacenter build-outs, cloud migrations, or similar Can communicate complex programs clearly to senior leadership without losing the important details Are good at context-switching between doing the work and managing people, and don’t see the IC work as beneath you Are comfortable making staffing and prioritization decisions without perfect information Deadline to apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 — $565,000 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. 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: Toronto; San Francisco; London; New York; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! As a Senior Security Engineer you will: - Serve as trusted advisor to team’s leadership and partner teams by clearly articulating business risks associated with security issues - Lead security operation functions – including vulnerability management, SAST, DAST, detection engineering, and incident response – in CI/CD and cloud-native production environments - Integrate security into our applications throughout the software development lifecycle - Collaborate with product and development teams, driving the success of larger projects to ensure that software is built and deployed securely without compromising agility and speed - Driving and supporting bug bounty program, application security reviews and threat modeling, including code review and dynamic testing - Assess and integrate security tools to automate and scale security processes, i.e: evaluate open-source vs vendor solutions - Gather and analyze security metrics to address security issues with cross-team dependencies - Be a problem solver who is empathetic to developer concerns and will employ constructive and flexible approach to building innovative solutions You may be a good fit if: - 5+ years previous experience in Application/Product Security or Security Operations with a strong focus on security tool onboarding and optimization - You have an understanding of vulnerability management, network security, cloud security concepts, and industry best practices across many fields of security - You are comfortable with ambiguity and are able to make informed decisions with little data - You employ a flexible and constructive approach when solving problems - You are able to make trade-offs between build vs. buy decisions - help build solutions and able to review what tools are available - You understand secure engineering best practices, can articulate problem statements and propose solutions to both technically savvy and non-technical audiences - You have a deep technical understanding of common security vulnerabilities and risks, as well as countermeasures and compensating controls - You’re a hands-on security engineer interested in automating controls FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Canada; United States Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this team? The internal infrastructure team is responsible for building world-class infrastructure and tools used to train, evaluate and serve Cohere's foundational models. By joining our team, you will work in close collaboration with AI researchers to support their AI workload needs on the cutting edge, with a strong focus on stability, scalability, and observability. You will be responsible for building and operating superclusters across multiple clouds. Your work will directly accelerate the development of industry-leading AI models that power Cohere's platform North. Please Note: All of our infrastructure roles require participating in a 24x7 on-call rotation, where you are compensated for your on-call schedule. As a Staff Software Engineer, you will: - Build and scale ML-optimized HPC infrastructure: Deploy and manage Kubernetes-based GPU/TPU superclusters across multiple clouds, ensuring high throughput and low-latency performance for AI workloads. - Optimize for AI/ML training: Collaborate with cloud providers to fine-tune infrastructure for cost efficiency, reliability, and performance, leveraging technologies like RDMA, NCCL, and high-speed interconnects. - Troubleshoot and resolve complex issues: Proactively identify and resolve infrastructure bottlenecks, performance degradation, and system failures to ensure minimal disruption to AI/ML workflows. - Enable researchers with self-service tools: Design intuitive interfaces and workflows that allow researchers to monitor, debug, and optimize their training jobs independently. - Drive innovation in ML infrastructure: Work closely with AI researchers to understand emerging needs (e.g., JAX, PyTorch, distributed training) and translate them into robust, scalable infrastructure solutions. - Champion best practices: Advocate for observability, automation, and infrastructure-as-code (IaC) across the organization, ensuring systems are maintainable and resilient. - Mentorship and collaboration: Share expertise through code reviews, documentation, and cross-team collaboration, fostering a culture of knowledge transfer and engineering excellence. You may be a good fit if you have: - Deep expertise in ML/HPC infrastructure: Experience with GPU/TPU clusters, distributed training frameworks (JAX, PyTorch, TensorFlow), and high-performance computing (HPC) environments. - Kubernetes at scale: Proven ability to deploy, manage, and troubleshoot cloud-native Kubernetes clusters for AI workloads. - Strong programming skills: Proficiency in Python (for ML tooling) and Go (for systems engineering), with a preference for open-source contributions over reinventing solutions. - Low-level systems knowledge: Familiarity with Linux internals, RDMA networking, and performance optimization for ML workloads. - Research collaboration experience: A track record of working closely with AI researchers or ML engineers to solve infrastructure challenges. - Self-directed problem-solving: The ability to identify bottlenecks, propose solutions, and drive impact in a fast-paced environment. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THIS ROLE At Sentry, Finance plays a critical role in helping the company understand where we're investing, what we're getting in return, and where we can operate more effectively. We are looking for an FP&A Manager who will help build Sentry's FP&A function while focusing on establishing best-in-class FinOps practices. You'll partner across the business on forecasting and financial analysis, with a significant focus on cloud infrastructure, AI costs, vendor spend, and other areas where better financial visibility can translate directly into better decisions. You will be expected to understand the economics behind our infrastructure, build the financial models and reporting needed to manage it, identify meaningful opportunities, and work with Engineering and other partners to turn those insights into action. You'll also operate as a generalist FP&A partner and play an important role in building the processes, models, and operating rhythms that Finance will use as Sentry grows. You will report to the Director of FP&A. IN THIS ROLE YOU WILL - Own forecasting, reporting, and financial analysis for significant areas of Sentry's operations, with particular emphasis on cloud infrastructure, AI-related spend, software, vendors, and other major cost categories. - Partner closely with Engineering and infrastructure leaders to understand the drivers of cloud and AI spend, translate technical consumption into financial forecasts, and identify opportunities to improve unit economics and gross margin. - Develop reporting that makes cloud and infrastructure costs understandable and actionable, including trends, cost allocation, unit costs, utilization economics, commitments, and significant variances. - Help evaluate cloud commitments, reserved capacity, vendor agreements, and other commercial decisions by modeling their financial implications and tradeoffs. - Build and operate a scalable company-wide expense-management process that gives budget owners clear visibility into their spend, forecasts, and accountability. - Partner with functional leaders on budgets, forecasts, business cases, and ongoing financial performance. - Support monthly and quarterly reporting, including budget-to-actual analysis, variance explanations, forecast updates, and accrual inputs in partnership with Accounting. - Support company-wide planning, headcount forecasting, management reporting, and other corporate FP&A work alongside the Director of FP&A. - Develop models and analyses to answer important business questions, particularly around efficiency, cost structure, gross margin, and resource allocation. - Identify opportunities to automate reporting, improve source data, and replace manual or fragmented finance processes with scalable ones. - Work cross-functionally with Accounting, Engineering, Procurement and business leaders to ensure financial information leads to action rather than simply producing another report. YOU'LL LOVE THIS ROLE IF YOU - Are a self-starter who likes owning a problem from messy data through recommendation and implementation. - Get genuinely interested in understanding why a cost moves rather than simply reporting that it moved. - Enjoy working with technical partners and can translate infrastructure or product concepts into financial drivers. - Like building processes, models, and reporting from scratch and making them simpler each time they run. - Have strong financial instincts but aren't afraid to get into large or imperfect datasets to find the answer. - Are comfortable moving between detailed cost analysis and broader company FP&A work. - Know that good cost management is about helping teams make smarter tradeoffs—not simply telling them to spend less. - Are comfortable with the pace, ambiguity, and ownership that comes with a growing company. QUALIFICATIONS - 5+ years of experience in FP&A, strategic finance, corporate finance, technology finance, or a related analytical finance role. - Experience owning budgets, forecasts, budget-to-actual analysis, and financial partnership with business leaders. - Demonstrated experience building or materially improving financial models, planning processes, cost-management processes, or business-partnering cadences. - Experience analyzing cloud infrastructure, hosting, AI/LLM, or other usage-driven costs is strongly preferred. Direct FinOps experience is a plus but is not required. - Experience with BI tools such as Looker, Tableau, or similar platforms. - Experience with NetSuite and modern FP&A or spend-management platforms is a plus. - Familiarity with FinOps concepts including cost allocation, showback/chargeback, commitments, and cloud cost optimization is a plus; FinOps Certified Practitioner or similar training is welcome but not required. - Strong communication and business-partnering skills, particularly the ability to explain financial concepts to non-finance audiences and turn analysis into action. Not sure you meet every qualification? We encourage you to apply anyway. We're interested in people who are excited about the opportunity, have demonstrated an ability to learn quickly, drive change, and want to help us build a great finance function. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: United States; Canada Workplace: OnSite WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! AS A MANAGER OF SECURITY ENGINEERING, YOUR KEY RESPONSIBILITIES INCLUDE: - Serve as trusted advisor to team’s leadership and partner teams by clearly articulating business risks associated with security issues - Execute the long-term vision for the Security team in alignment with Cohere’s product and business goals. - Collaborate closely with leadership to prioritize high-impact initiatives and strategic customer engagements. - Vulnerability Management: Develop and implement enterprise-wide vulnerability management processes and tooling, including identification, prioritization, remediation tracking, and reporting, including customer artifacts - Static Application Security Testing (SAST): Establish SAST programs, integrate tools into CI/CD pipelines, and analyze results to identify and remediate security flaws in source code - Dynamic Application Security Testing (DAST): Implement DAST methodologies, configure scanning tools, and conduct regular assessments of running applications - Penetration Testing: Lead and oversee internal and external penetration testing engagements, including web application, API, network and agentic AI platform including managing our bug bounty program - Security Architecture Review: Collaborate with development teams to review and validate security architecture and design patterns - Secure SDLC Integration: Embed security practices throughout the software development lifecycle, working closely with engineering and product teams - Team Leadership: Lead and grow a high-performing team of Security engineers through hiring, coaching, and mentorship - Metrics and Reporting: Establish key security metrics, generate regular reports for leadership, and communicate security posture to stakeholders - Compliance and Standards: Ensure application security practices align with industry standards (OWASP Top10 for LLMs, ISO 27001) and regulatory requirements YOU MAY BE A GOOD FIT IF: - You have 8+ years of previous experience in Application Security / Security Engineering with a strong focus on vulnerability management, SDLC and bug bounty programs. - Proven experience with SAST, DAST, and penetration testing methodologies and tools - Proficiency with programming languages (Python, GoLang, etc.) and web technologies - Experience with cloud platforms (AWS, GCP, Azure) and container security - Excellent communication and interpersonal skills with ability to influence technical and non-technical stakeholders - Experience building and managing high-performing security teams - You are comfortable with ambiguity and are able to make informed decisions with little data. - You employ a flexible and constructive approach when solving problems. - You are able to make trade-offs between build vs. buy decisions—help build solutions and be able to review what tools are available. - You understand secure engineering best practices, can articulate problem statements, and propose solutions to both technically savvy and non-technical audiences. - You have a deep technical understanding of common security vulnerabilities and risks, as well as countermeasures and compensating controls. APPLY: If you are passionate about solving complex revenue challenges in a dynamic AI environment and want to join a team that values technical excellence and innovation, we encourage you to apply. WORKING LOCATION: Remote US or Canada FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Singapore - The Role As an Enterprise Solutions Architect at ClickHouse, you'll own the technical side of the sales cycle for enterprise accounts across Greater China. You'll engage with data platform engineers, architects, SRE, and the VP who owns the standard — and your job is to design something that satisfies all of them and then prove it at production scale. This is a role for engineers who want the hard version of the problem: real scale, real constraints, and an incumbent to displace. Prior pre-sales experience helps but isn't required — technical depth is non-negotiable. What You Will Be Doing - Own the technical evaluation for enterprise accounts across Greater China — from discovery through POC or competitive bake-off, architecture sign-off, security review, and first production workload. - Engage across a wider set of stakeholders than a single team: data platform engineers, architects, SRE, security, and the executive who owns the standard. Design solutions that hold up with all of them in the room. - Design for production scale — sizing, sharding and replication strategy, ingestion topology, tiered storage, cost modeling, and what happens when something fails at 3am. - Win competitive displacements against Elasticsearch, Splunk, Snowflake, BigQuery, Druid, Pinot, and homegrown systems, using benchmarks the customer's own team can reproduce. - Own the migration plan — sequencing, dual-run, validation, and cutover — so the customer's team can see exactly how they get to production. - Clear the security and procurement path: questionnaires, compliance artifacts, network and identity architecture, data residency requirements, and BYOC or private deployment requirements. - Partner closely with Enterprise AEs to progress and close opportunities — you own the technical win, they own the commercial close. Build the TCO case against the incumbent/competition together. - Advocate for customer needs internally with Product and Engineering — you're the voice of the technical buyer inside ClickHouse. - Contribute reference architectures, benchmark harnesses, migration guides, and objection handling material that help the team scale what's working. What You Bring - Professional fluency in Mandarin and English, written and verbal. You can run a deep technical workshop in Mandarin and represent the same architecture to a global internal audience in English. - Deep technical foundation in data infrastructure — built through experience as a data engineer, platform engineer, software engineer, DBA, or solutions architect. - Production experience with analytical databases (ClickHouse, Snowflake, BigQuery, Redshift, Druid, Pinot, Vertica) and with operating them, not just querying them. - Distributed systems judgment: partitioning, replication, consistency trade-offs, query execution, and a felt sense for where things break under load. - Fluency across the modern data stack — Kafka and CDC pipelines, orchestration, object storage, BI tools, and at least one major cloud (AWS, GCP, Azure, Alibaba Cloud, Tencent Cloud) at architecture level. - Experience running a technical evaluation against a named competitor and winning it, including designing the migration off the incumbent and the parts of it that are genuinely hard. - Customer-facing experience with real stakes — pre-sales, consulting, technical account management, or a staff-level engineering role that put you in front of customers. - Strong written and verbal communication. You can whiteboard with a staff engineer in the morning and present to a VP of Engineering in the afternoon. - Comfort with longer cycles and more stakeholders. Enterprise evaluations don't close in three weeks, and you know how to keep one moving without letting it stall. - Willingness to say ClickHouse isn't the right tool for a given workload when that's true. Bonus Points for: - Experience selling or supporting technical sales into the Greater China market - Familiarity with the local cloud and data ecosystem (Alibaba Cloud, Tencent Cloud, Huawei Cloud) and how enterprises there build around it. - Open source community experience, including engaging developer and engineering audiences in the region. - Experience effectively working remotely in a global, distributed organization.. #LI-VR1 PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Atlanta, United States; August, United States; Boston, United States; Bradford, United States; Brighton Beach, United States; Bronx, United States; Brooklyn, United States; Canarsie, United States; Chicago, United States; Cedarhurst, United States; Columbus, United States; Coney Island, United States; Dallas, United States; Denver, United States; Des Moines, United States; Dover, United States; Manhattan, United States; Fall River, United States; Forest Hills, United States; Fresh Meadows, United States; Hawley, United States; kansas city, United States; Lansing, United States; Las Vegas, United States; Lexington, United States; Little Rock, United States; Los Angeles, CA 90021, United States; Lynbrook, United States; Montogomery, United States; Nassau County, United States; New Bedford, United States; New Jersey, United States; New York, United States; Norwalk, United States; Oregon city, United States; Pittsburgh, United States; Phoenix, United States; Plano, United States; Queens, United States; Redwood City, United States; Ridgewood, United States; Salt lake city, United States; San Francisco, United States; Seattle, United States; St. Louis, United States; Staten Island, United States; Valley Stream, Long Island, United States; Valley Stream, United States; Wantagh, United States; Washington DC, United States; Williamsburg, United States; Wilmington, United States; Greenwich, United States Workplace: remote $150,000–$200,000 Base Salary | $400,000–$600,000 Total Annual Earning Potential Our client, a growing alternative-financing company, is seeking a Director of Strategic Partnerships & Private Credit Origination to expand its professional referral network and generate lower-middle-market financing opportunities, typically ranging from $1M–$25M . This is a relationship-driven origination role focused on building and leveraging relationships with professional referral partners who can provide consistent, repeat deal flow. The ideal candidate will bring an established network of relationships across commercial finance and the lower-middle market, including banks, CPAs, attorneys, investment bankers, M&A advisors, financial advisors, private equity firms, family offices, independent sponsors, and other professional intermediaries. Candidates may come from private credit, commercial finance, ABL, factoring, SBA lending, equipment finance, commercial banking, M&A/advisory, investment banking, or other related areas. Experienced underwriters, credit professionals, and portfolio managers are also encouraged to apply if they have developed a strong external referral network and are interested in moving into a relationship-driven origination role. Benefits 100% employer-paid Cigna medical coverage for employees and eligible dependents 100% employer-paid basic life insurance Dental and vision insurance options Flexible spending benefits Commuter benefits Responsibilities Develop and maintain productive relationships with banks, CPAs, attorneys, M&A advisors, investment bankers, private equity firms, family offices, independent sponsors, financial advisors, and other professional referral sources. Generate qualified $1M–$25M lower-middle-market financing opportunities through an existing professional network. Build and expand referral channels capable of producing consistent and repeatable deal flow. Re-engage existing professional relationships and develop new strategic referral partnerships. Present the company's alternative-financing solutions to referral partners and prospective borrowers. Identify financing opportunities and determine whether they align with the company's credit profile and available solutions. Manage opportunities from initial introduction and qualification through underwriting, structuring, and closing. Work closely with credit, underwriting, and leadership teams to develop appropriate financing structures for prospective borrowers. Maintain consistent communication with referral partners throughout the financing process. Attend industry conferences, networking events, and professional gatherings to expand the company's referral network. Independently manage and grow a book of referral relationships and originated opportunities. Proven experience in business development, origination, strategic partnerships, relationship management, underwriting, credit, or portfolio management within commercial finance or an adjacent financial-services field. Background in private credit, ABL, factoring, commercial finance, SBA lending, equipment finance, commercial banking, M&A/advisory, investment banking, or a related area . Established relationships with professional referral sources such as banks, CPAs, attorneys, investment bankers, M&A advisors, financial advisors, private equity firms, family offices, independent sponsors, or other financial intermediaries. Demonstrated ability to generate or influence repeat deal flow through professional relationships . Experience working with lower-middle-market companies and financing transactions, ideally within the $1M–$25M range . Strong understanding of commercial credit, financing structures, and the needs of lower-middle-market businesses. Ability to identify, qualify, and communicate financing opportunities effectively. Strong relationship-building, communication, negotiation, and presentation skills. Self-motivated and comfortable independently developing and managing a book of business.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a member of the Research Legal team, you'll advise on legal topics across the full lifecycle of building and studying frontier AI models: data acquisition and use, training pipelines, model evaluation and launch, and alignment, interpretability, model welfare, societal impacts, and beneficial deployments research, as well as Responsible Scaling Policy work on biological risk. You'll be a subject matter expert on copyright, privacy, data use, and AI regulation (including the EU AI Act, U.S. state laws, and emerging global rules), and will work directly with researchers on questions that often have no settled answer. The ideal candidate will have navigated complex legal questions at the intersection of machine learning, data, and academic research in a fast-moving technical environment, with the judgment to work at the cutting edge of AI development while effectively solving issues, enabling innovation, and calibrating risk. This is a uniquely positioned role touching many different facets of AI, presenting the opportunity to be a leader in AI legal thought. Key responsibilities Advise research and data teams on data sourcing, licensing, partnerships, and use, and help shape Anthropic's data acquisition and use strategy as laws and markets evolve Help coordinate regulatory readiness and model launches, review model documentation and system cards, respond to regulatory inquiries, and advise on legal questions for pre-release and internal models Support the Responsible Scaling Policy as applied to biological and chemical risk, including capability evaluations, tiered access for biosecurity researchers, and dual-use research questions Counsel the Societal Impacts, Economic, Alignment, Interpretability, Model Welfare, and Beneficial Deployments teams on research design, data collection and sharing, external collaborations, program launches, and publication review Monitor global AI, privacy, copyright, and export-control developments and translate them into practical internal guidance and policy, working closely with Product, Policy, and other legal stakeholders Engage with academics, regulators, industry groups, and civil society to help develop norms and best practices for responsible AI development and data governance Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based (California or New York preferred) Practical, creative problem-solving: the ability to apply legal requirements to fast-changing, deeply technical work, with an understanding that the goal is to enable responsible research and product development in a risk-calibrated environment Exceptional communication and analytical skills, technical fluency, and the ability to navigate ambiguous and uncharted legal territory, turning complex technical and legal analysis into advice people can act on Familiarity and comfort advising on the EU AI Act, U.S. legislation and AI frameworks, GDPR/CCPA, and comparable regimes globally, sometimes where no AI-specific legislation exists Interest in thinking deeply about the impact of AI on society and how to make humanity's transition to the AI age as beneficial as possible Sound judgment about when to be flexible and when to hold a line; comfort making high-stakes calls in unsettled areas and outside your core expertise; and a low-ego, collaborative approach, doing the work needed rather than delegating it or being territorial Preferred qualifications At least 8 years of legal experience advising technology companies on copyright, privacy, data, AI regulation, and related product and policy issues, ideally including time in-house and work on AI/ML products or services Experience engaging directly with regulators or standards bodies Working technical literacy: enough familiarity with how models are trained, evaluated, and deployed to ask researchers and engineers the right questions and spot the legal issues in a technical design An academic or publishing background, or experience with copyright, open-source, and data licensing Experience with biosecurity, dual-use research, export controls, or safety frameworks such as Anthropic's Responsible Scaling Policy Experience advising on academic or industry research, including publications, external collaborations, data sharing, or human-subjects and consent questions, ideally in AI or an adjacent technical field Role-specific policy: We prefer candidates who can work from our San Francisco or New York office at least 3 days a week, but may consider other locations for the right candidate. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $335,000 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. 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: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An Overview of this role We are looking for a Senior Release Engineer to help design, standardize, and operate reliable enterprise application delivery across the Enterprise Technology & AI team. This role will establish scalable CI/CD practices for business-critical platforms such as Salesforce, Zuora and other Business Systems while enabling engineering teams to ship changes safely, quickly, and with clear operational controls. The ideal candidate combines strong release engineering and automation skills with practical experience supporting enterprise SaaS applications. You will build and maintain GitLab CI/CD or comparable CI/CD pipelines, develop reusable scripts and deployment tooling, improve release governance, and partner with application, security, compliance, and business teams across the release lifecycle. Daily use of approved AI-assisted engineering tools, including Claude, Duo Agent Platform or comparable enterprise-approved tools, is a mandatory expectation for DevOps, troubleshooting, documentation, testing, and automation activities. What you'll do Design, build, and maintain GitLab CI/CD or comparable CI/CD pipelines for enterprise applications, including validation, testing, packaging, deployment, promotion, rollback, and post-release verification. Develop reusable automation using scripting languages such as Python to reduce manual release activities and improve repeatability. Use approved AI-assisted engineering tools such as Claude or similar tools every day to accelerate pipeline development, scripting, test creation, troubleshooting, documentation, release analysis, and operational automation. Define and implement CI/CD patterns for platforms such as Salesforce, Zuora, and other Business Systems. Establish environment and promotion strategies across development, test, staging, and production, including configuration management and deployment sequencing. Implement quality gates, automated checks, approvals, audit trails, and policy controls appropriate for enterprise application releases. Partner with application owners and development teams to define branching, versioning, release cadence, and rollback standards. Improve release observability through deployment dashboards, pipeline metrics, change records, notifications, and operational reporting. Investigate failed deployments and release issues, lead root-cause analysis, and implement durable corrective actions. Contribute to release calendars, change planning, blackout-period coordination, and risk-based release decision-making. Build documentation, runbooks, reusable templates, and enablement materials so teams can adopt consistent delivery practices. Coach engineers and application teams on GitLab CI/CD or comparable CI/CD tools, release automation, trunk/branching strategies, testing, and operational readiness. Collaborate with security, compliance, architecture, and enterprise application stakeholders to meet control requirements without creating unnecessary delivery friction. What you'll bring Bachelor’s degree in Computer Science,Information Systems, or equivalent practical experience. 7+ years of experience in release engineering, DevOps or a related discipline. Experience in Release & deployments for enterprise SaaS applications such as Salesforce, Zuora or Business Systems. Strong hands-on experience designing and operating GitLab CI/CD or comparable CI/CD pipelines in production environments. Proficiency in at least one scripting language, such as Python, with the ability to write maintainable automation and integrations. Mandatory hands-on experience using AI-assisted development and automation tools such as Claude or comparable enterprise-approved tools as part of day-to-day DevOps and release engineering work. Experience with source control, branching and merging strategies, artifact management, automated testing, deployment orchestration, and rollback practices. Working knowledge of REST APIs, webhooks, JSON, authentication patterns, and integration troubleshooting. Experience managing releases across multiple environments with strong attention to configuration, dependencies, access controls, and auditability. Demonstrated ability to troubleshoot pipeline failures, deployment issues, integration defects, and environment inconsistencies. Strong communication and collaboration skills, with the ability to work effectively across engineering, business, security, compliance, and operations teams. Enterprise application releases become more predictable, repeatable, and transparent. Manual deployment effort and avoidable release errors decrease through automation and standardization. About the team ETA teams adopt reusable GitLab CI/CD or comparable CI/CD patterns for Salesforce, Zuora, and other enterprise platforms.Release quality improves through automated validation, testing, policy checks, and post-deployment verification. Deployment, change, and compliance evidence is available through reliable pipeline records and operational reporting. Application teams can move faster while maintaining appropriate controls for business-critical systems. AI-assisted DevOps adoption measurably improves engineering throughput, troubleshooting speed, automation coverage, and documentation quality without reducing delivery controls. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Hybrid - Riyadh MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. As a Site Reliability Engineer, you will work closely with customers as well as the engineering team on enhancing, optimizing, validating and automating our cloud-native storage platform. Your role will be a mix of DevOps and software engineering to assure that MinIo is delivering a very high quality product with high-performance, scalability and durability to enable seamless data storage and retrieval for demanding workloads for customers. This role requires deep expertise in DevOps practices, SRE, systems programming, distributed computing, and storage architectures. You will work closely with a world-class team of engineers to push the boundaries of object storage performance and reliability. What You Will Do: Enhance, optimize, validate and automate core MinIO software for performance, scalability, and security. Help building and delivering high-performance distributed storage solutions with a focus on cloud-native architectures. Validate the MinIO Software according to customer environment and requirements, ensuring no surprises are observed at customer deployments. Improve existing features, fix critical issues, and contribute to open-source repositories. Collaborate with other engineers to refine architecture, APIs, and integrations. Write efficient, well-documented, and maintainable code. Conduct performance benchmarking and debugging of complex storage environments. Work closely with customers to address issues, and manage expectations. Your Skills and Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 5+ years of professional experience in software engineering. Desire and ability to directly work with customers to solve their problem with product enhancement and automation. Experience in DevOps, GitOps, Automation and testing frameworks. Expertise in distributed systems, networking, or high-performance computing. Experience with cloud-native technologies (Kubernetes, containers, microservices). Strong proficiency in Go desired (or deep experience in C/C++/Rust with a willingness to learn Go). Deep understanding of storage systems, file systems, or databases. Strong problem-solving skills and experience debugging complex, large-scale applications. Contributions to open-source projects are a plus. Ability to work in a fast-moving, collaborative environment with a strong sense of ownership. Empathy towards the customer and ability to quickly dig in to resolve any customer issue. Passion for innovation and staying current with technology trends. Self-motivation and a commitment to continuous learning and adopting new tools and frameworks. A strong sense of ownership and accountability in delivering high-quality work while directly working with customers.. A collaborative and team-oriented mindset, thriving in environments that value open communication and shared goals. Ability to collaborate effectively with cross-functional teams, contributing to a positive and productive work environment. Attention to detail and fine craftsmanship. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: New York, New York, United States About the Role iCapital is seeking an Associate to join the Investment Strategy team and contribute to research across global public and private markets, alternative investments, disruptive technologies, and thematic investing. This role will support the firm's efforts to deliver differentiated market insights while helping advisors and clients navigate an increasingly complex investment landscape through combining investment research expertise with data analytics capabilities. This individual will help to produce market commentary, supporting white papers and outlooks by building analytical models, and leveraging modern tools such as Python, AI-enabled research workflows, and financial datasets to enhance research efficiency and investment intelligence. This role will work at the intersection of macro trends, portfolio strategy, private markets, and innovation within a fast-growing fintech platform. Responsibilities Conduct macroeconomic, sector, thematic, and cross-asset research across public and private markets, including equities, fixed income, currencies, commodities, private equity, private credit, real estate, infrastructure, and hedge fund strategies. Track policy developments, capital flows, fundraising activity, valuations, and secular themes such as artificial intelligence, energy transition, demographic shifts, and deglobalization to identify investment opportunities and market signals. Research, draft, and support the production of market commentary, quarterly outlooks, thematic reports, white papers, executive presentations, advisor education materials, and thought leadership content for internal and client-facing audiences. Build and maintain financial models, quantitative analyses, and investment dashboards utilizing Excel, Bloomberg, Python, and other analytical tools. Leverage data analytics, AI-enabled research tools, alternative data sources, and large market datasets to generate investment insights, improve research processes, and support strategic decision-making. Partner with investment teams and senior leadership to frame research questions, synthesize complex information, and deliver executive-ready insights under tight timelines. Assist in establishing scalable and repeatable research processes while maintaining a comprehensive knowledge base of market, thematic, and private markets intelligence. Qualifications 2-4 years of experience in investment banking, private markets, alternatives, asset management, investment research, or investment strategy Demonstrated research experience across public or private markets, with a strong interest in alternative investments and portfolio construction Strong understanding of private markets, including private equity, private credit, real estate, infrastructure, and hedge fund strategies Experience with data analytics, quantitative research, and financial modeling Working knowledge of Python and its application to financial analysis, data visualization, automation, and investment research Familiar with AI-powered research tools, machine learning concepts, or modern analytical workflows is preferred Knowledge of PitchBook, Preqin, Macrobond, FactSet, Bloomberg or similar market and alternative investment data platforms is preferred Able to work under tight deadlines, manage multiple priorities, and maintain exceptional attention to detail Strong written and verbal communication skills, with the ability to translate complex investment and data-driven insights for a variety of audiences Comfortable crafting executive-level presentations and client-facing materials Passion for global markets, private markets, innovation, and emerging technologies Strong quantitative, analytical, and problem-solving capabilities Benefits The base salary range for this role is $90,000 to $130,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Germany; Portugal; Poland; Ireland; United Kingdom; Spain Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. 🎯 Your main goal will be to own the forward-looking financial plan for the top and mid funnel of n8n’s commercial engine, helping Marketing leadership make sharper investment decisions across both our PLG and SLG motions. To do so, you’ll turn demand, funnel, and marketing investment decisions into an integrated financial view that leadership can act on: OWN MARKETING PLANNING & FORECASTING - Drive n8n’s annual planning and regular forecasting process for Marketing end to end, from top-down targets and cross-functional alignment through regional segmentation, budget ownership, and consolidation into the company plan. - Partner with Marketing budget owners across demand generation, brand, community and DevRel, product marketing, and events to set budgets, forecast spend, and sharpen investment trade-offs. - Own program spend with the same rigor as headcount, including agency and media contracts, event and sponsorship commitments, phasing, seasonality, and in-year reallocations. MODEL FUNNEL & CHANNEL ECONOMICS - Model demand creation, signup and MQL volume, activation, qualified opportunity, conversion, and velocity with Marketing Ops and RevOps across both PLG and SLG motions. - Translate funnel and channel levers into the demand assumptions behind n8n’s integrated top-line model and quantify the financial impact and trade-offs of changing them. - Assess CAC and payback, conversion, pipeline contribution, and expected versus realized ROI using attribution, incrementality testing, and other causal methods where appropriate. BUILD A RIGOROUS MARKETING INVESTMENT FRAMEWORK - Establish a repeatable process for material marketing bets covering hypothesis, baseline, expected return, confidence range, leading indicators, scale-or-stop triggers, and post-investment review. - Build and defend investment cases for brand, community, content, events, and other spend that does not attribute cleanly to closed revenue. - Use internal evidence, external benchmarks, and post-investment learnings to drive in-year reallocations toward the highest-impact opportunities. TURN DATA INTO DECISIONS - Partner with Marketing Ops, RevOps, Data, and Controlling to keep the financial view aligned with n8n’s attribution, measurement, and reporting frameworks. - Own the financial metric definitions behind Marketing reporting and ensure teams are operating from a consistent view of performance. - Turn financial reporting and variance analysis into tangible insights and recommendations for Marketing leadership, executives, and board-level audiences when needed. REQUIREMENTS MUST-HAVES - 📊 FP&A experience: You have 7+ years of experience in FP&A or strategic finance, ideally in a fast-paced technology or B2B SaaS environment. - 🗂️ Complex planning experience: You have led complex, multi-entity, multi-stakeholder annual planning, budgeting, and forecasting processes end to end. - 🤝 Marketing business partnering: You have deep demand-side finance partnering experience in either a self-serve/PLG funnel or an enterprise/SLG demand generation motion, plus a strong working understanding of the other. - 📈 Funnel and channel economics: You are fluent in CAC and CAC payback by channel and motion, blended versus paid CAC, CLV/CAC, pipeline attribution, funnel conversion, and velocity. - 🧭 Judgment on unattributable spend: You have built and defended investment cases for brand, community, content, or similar spend that will never attribute cleanly to a closed deal. - 💶 Program spend ownership: You are comfortable owning a budget weighted toward program spend, including commitments, phasing, agency costs, vendor economics, and reallocations. - 🧮 Financial modeling: You build sophisticated, integrated financial models that remain robust as assumptions, scenarios, and operating inputs change. - 🗣️ Executive communication: You translate complex analysis into clear recommendations and are comfortable presenting to Marketing leadership, executives, and board audiences when needed. - 🤖 AI- and automation-first mindset: You naturally use AI and automation platforms such as n8n to improve the quality, speed, and repeatability of your planning, reporting, and analysis. NICE-TO-HAVES - 🔄 PLG + SLG fluency: You have deep experience across both product-led and sales-led demand motions rather than primarily one. - 🧑‍💻 Developer-focused environment: You have worked at a community-led, open-source, or developer-focused product company. - 🧪 Incrementality & experimentation: You have exposure to incrementality testing, holdout design, or marketing mix modeling. - 🛠️ Marketing & RevOps tooling: You have experience consuming data from tools such as HubSpot or Marketo, GA4, attribution platforms, and Salesforce. - 📋 Planning platforms: You have worked with financial or headcount planning platforms such as Pigment in complex, multi-entity, or multi-stakeholder environments. - 🧑‍🔬 Data self-sufficiency: You are comfortable using SQL and building your own views in tools such as Looker, Metabase, or Hex rather than waiting on a Data team. - ⚙️ Relevant SaaS domain experience: You have worked in workflow automation, developer tools, or infrastructure SaaS. Why join us? At n8n, you’ll own the financial view of one of the most important joins in our growth engine: where community, product-led adoption, and enterprise demand generation meet. You’ll work closely with Marketing leadership and counterpart FP&A Managers covering the PLG and SLG bottom of funnel, giving you visibility across the full commercial plan and real influence over how we allocate one of our largest discretionary investments. You’ll join a fast-growing, remote-first company where finance is expected to help shape decisions, not simply report on them. As n8n expands the opportunity around AI agent orchestration and helps businesses unlock measurable ROI through automation, you’ll help build the planning discipline, investment frameworks, and automation-first finance practices that support our next stage of growth. Sound like a challenge you’re excited to take on? Apply now — and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Vancouver, Canada Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. ABOUT THIS ROLE Sensor Tower's mission is to measure the world's digital economy. As the Product Manager for Web Insights, you'll own strategy and execution for our web and generative AI analytics products, ensuring they're accurate, intuitive, and solve real customer problems You'll be assigned high-impact initiatives sourced directly from active customer requests, such as building an SEO/competitive-traffic solution with raw URL-level traffic data, improving competitive discovery and reporting UX, and expanding GenAI citations and brand-visibility tracking. You'll interact directly with users and business stakeholders to gather detailed use cases and translate them into clear requirements. You'll collaborate with Data Science to refine and expand web traffic and engagement estimates, and share implementation and project management responsibilities with Engineering to ship new features and data pipelines. You'll also partner with Product Marketing and GTM to communicate the value of new capabilities and drive adoption of the Web Insights product. This is a great fit for a Product Manager who is energized by analytics products, comfortable getting into the data themselves, and excited about the web traffic, competitive intelligence, or digital marketing space. WHAT YOU WILL WORK ON - Interview users to identify needs, workflows, and pain points related to web traffic and engagement data. - Write clear technical requirements for new features, metrics, and data delivery solutions. - Collaborate daily with Data Science and Engineering to prioritize, scope, and ship improvements to web estimates and product features. - Propose and maintain a roadmap for future Web and Generative AI Insights releases. - Analyze usage and product data to identify opportunities and measure the impact of shipped features. - Communicate functional and business details of upcoming releases to less technical teams, including Marketing, Sales, Customer Success. - Monitor data quality and accuracy of web estimates, working with Data Science to resolve issues and improve methodology. WHAT WE ARE LOOKING FOR - 3–5 years of professional experience, preferably in product management at a B2B or SaaS company. - Experience working with data products, analytics platforms, or APIs. - Comfortable with writing SQL and using data directly to inform product decisions. - An interest in web analytics, competitive intelligence, digital marketing, or adjacent spaces (SEO experience is a strong plus). - Familiarity with BI and analytics tooling (e.g., Snowflake, Tableau, Amplitude, Mixpanel) is a plus. - AI-fluent and comfortable working daily with tools like Claude, building custom agents, and leveraging MCP integrations to move faster and unlock new workflows. - Strong written and verbal communication skills, with the ability to translate technical concepts for non-technical audiences. - Experience collaborating cross-functionally with Engineering, Design, and Sales/GTM teams. - Degree in Computer Science, Engineering, or a related field is a plus, but not required. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: New York City, NY, US Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. ABOUT THIS ROLE Sensor Tower's mission is to measure the world's digital economy. As the Product Manager for Web Insights, you'll own strategy and execution for our web and generative AI analytics products, ensuring they're accurate, intuitive, and solve real customer problems You'll be assigned high-impact initiatives sourced directly from active customer requests, such as building an SEO/competitive-traffic solution with raw URL-level traffic data, improving competitive discovery and reporting UX, and expanding GenAI citations and brand-visibility tracking. You'll interact directly with users and business stakeholders to gather detailed use cases and translate them into clear requirements. You'll collaborate with Data Science to refine and expand web traffic and engagement estimates, and share implementation and project management responsibilities with Engineering to ship new features and data pipelines. You'll also partner with Product Marketing and GTM to communicate the value of new capabilities and drive adoption of the Web Insights product. This is a great fit for a Product Manager who is energized by analytics products, comfortable getting into the data themselves, and excited about the web traffic, competitive intelligence, or digital marketing space. Salary range: $125,000 - 150,000 USD WHAT YOU WILL WORK ON - Interview users to identify needs, workflows, and pain points related to web traffic and engagement data. - Write clear technical requirements for new features, metrics, and data delivery solutions. - Collaborate daily with Data Science and Engineering to prioritize, scope, and ship improvements to web estimates and product features. - Propose and maintain a roadmap for future Web and Generative AI Insights releases. - Analyze usage and product data to identify opportunities and measure the impact of shipped features. - Communicate functional and business details of upcoming releases to less technical teams, including Marketing, Sales, Customer Success. - Monitor data quality and accuracy of web estimates, working with Data Science to resolve issues and improve methodology. WHAT WE ARE LOOKING FOR - 3–5 years of professional experience, preferably in product management at a B2B or SaaS company. - Experience working with data products, analytics platforms, or APIs. - Comfortable with writing SQL and using data directly to inform product decisions. - An interest in web analytics, competitive intelligence, digital marketing, or adjacent spaces (SEO experience is a strong plus). - Familiarity with BI and analytics tooling (e.g., Snowflake, Tableau, Amplitude, Mixpanel) is a plus. - AI-fluent and comfortable working daily with tools like Claude, building custom agents, and leveraging MCP integrations to move faster and unlock new workflows. - Strong written and verbal communication skills, with the ability to translate technical concepts for non-technical audiences. - Experience collaborating cross-functionally with Engineering, Design, and Sales/GTM teams. - Degree in Computer Science, Engineering, or a related field is a plus, but not required. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Strategic Account Executive on our Regulated Verticals team! About the job This position is needed to lead relationships with our growth and mid-market Communications platform customers who consume our messaging, voice and email services. You will be directly responsible for protecting and growing Twilio’s communications business across your assigned customers. As a Strategic Account Executive, you will drive highly analytical and consultative sales cycles with customers that are running large scale, global, competitively sourced, compliance-heavy, use case-specific businesses. This role is highly cross functional, and your success will depend on building deep partnerships across product management, finance, support, and operations. Responsibilities In this role, you’ll: Manage and expand some of our most important Regulated Verticals customer accounts. Develop, drive, and execute account strategy to consistently deliver strong revenue, gross margin, and gross profit results. Partner closely with other Twilio teams to identify new revenue opportunities within your Regulated Verticals account portfolio. Serve on a cross-functional account team with representatives from product, finance, support, and services teams. Run a disciplined forecast, consistently achieve goals, and present guidance to executive management. Run highly consultative sales cycles with our largest customers with a focus on deep discovery, listening to customer needs and being an effective champion for their point of view in the organization. Generate and maintain an accurate sales pipeline and forecast utilizing our CRM, SalesforceStay current with industry changes and collaborate with your team and peers to learn and share best practices. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: Possess a total of 8 years of sales experience, with a minimum of 3 years dedicated to major account or strategic sales. Demonstrate expertise in managing or leading quantitative, highly analytical products and solutions for customers. Accountable for relationship management, cross sells, upsells and solutions consulting. Comfortable working with business and highly technical leaders, while influencing their understanding and building supportive partnerships. Analytical account development strategy based on using data to find opportunities and prove value. Demonstrated track record of managing business forecasts and financial models. Entrepreneurial mindset with appetite to define process and build programs. Record of delivering revenue and gross profit results, especially for large-scale and enterprise customers. Excellent verbal and written communication skills. Bachelor’s Degree or equivalent years of experience. Desired: Deep experience working with telecom companies, including CPAAS, SMS aggregators, carriers, or global communications platforms. Domain expertise from a highly quantitative industry such as DevOps, Fintech, advertising optimization, investment banking, security or commodity trading especially in non-standard segments. Software, SaaS, CPaas or PaaS selling experience. Location This role will be remote, but is not eligible to be hired in CT, NJ, NY, WA, PA or the surrounding areas of San Francisco, CA, Oakland, CA, or San Jose, CA Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 20% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Minnesota or Vermont : $132,192.00 - $165,240.00. Based in Washington D.C., Illinois, Maryland, Massachusetts or California (outside of the San Francisco Bay Area): $139,536.00 - $174,420.00. Based in New York, New Jersey, Washington State, or the San Francisco Bay area, California: $146,880.00 - $183,600.00. This role may be eligible to participate in Twilio’s equity plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. This role is eligible to earn commissions. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until September 18th 2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Beograd, Serbia Workplace: hybrid ABOUT THE ROLE We are looking for forward-thinking, high-performing AI Engineers who are excited to pioneer the future of AI-driven engineering at Paysend. In this role, you will work hands-on with Claude Code and the Anthropic API to design, harden, and ship agentic systems that write, review, test, and deploy code. This is a high-impact, build-and-own opportunity: you will take cutting-edge AI prototypes and turn them into resilient production infrastructure - directly empowering our global engineering teams, accelerating our product velocity, and helping us solidify Paysend as the definitive end-to-end payment infrastructure for the modern world. THE ENGINEERING PROBLEM The problem is not to make an LLM generate code. The problem is to make AI-assisted and agentic software delivery reliable enough to become part of normal engineering work. These systems operate inside real software delivery workflows. They need to deal with incomplete context, failed execution, incorrect assumptions, external dependencies, changing repository state, and cases where an agent should not continue on its own. This means designing clear execution boundaries, decision points, observability, recovery and escalation paths, not only the agent behaviour itself. The role includes shaping how these systems work, not only implementing integrations with existing AI tools. WHAT YOU'LL DO Design end-to-end AI-assisted delivery workflows, including agent responsibilities, execution boundaries, decision points, human intervention, failure handling, recovery, and escalation Design and refine AI-driven pipelines that automate coding, code review, testing, and deployment tasks Build and optimise agentic workflows using Claude Code and the Anthropic API, including custom tooling, MCP server integrations, sub-agents, and stateful orchestration logic Engineer robust prompts, benchmark suites, and automated eval datasets; measure and improve pipeline accuracy, latency, and API costs Define workflow-specific success criteria and operational evidence, including correctness, reliability, intervention and escalation rates, failure modes, and recovery effectiveness Integrate core Anthropic capabilities (tool use, structured outputs, prompt caching, batch processing) into internal developer platforms Handle unglamorous production work: sandboxed execution, strict error handling, retries, observability, guardrails, and edge cases Own these systems after initial implementation: observe how they behave in real engineering workflows, investigate failures and incorrect behaviour, and improve the system based on operational evidence Partner with engineers across the org to identify automation opportunities and roll out agentic tools safely with human-in-the-loop review mechanisms WHAT WE'RE LOOKING FOR Strong software engineering background, with experience designing, building, and operating production systems, and strong hands-on experience with Python or TypeScript Ability to decompose end-to-end engineering workflows, identify decision boundaries, failure modes, dependencies, observability needs, and recovery paths Direct, hands-on experience with Claude Code—you've used it beyond casual experimentation and understand its strengths, limits, and configuration (CLAUDE.md, sub-agents, hooks) Experience building with LLM APIs: prompt engineering, tool/function calling, structured outputs, context window optimization, agentic loops, and evaluation Familiarity with MCP (Model Context Protocol) server integration and custom workflows Comfort turning prototypes into production systems: CI/CD integration, containerized execution, reliability engineering, and monitoring Pragmatic judgment about where AI automation helps and where traditional deterministic logic or human oversight is required NICE TO HAVE Experience with agent orchestration frameworks or building custom agent harnesses/tooling Track record shipping internal developer platforms or CLI tooling Contributions to open-source AI frameworks, developer tools, or MCP servers Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.