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Location: Dubai Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? In this role, you will own the full sales cycle for strategic enterprise and public-sector organizations across the META. Your portfolio will include major sectors such as financial services, telecommunications, government, energy, healthcare, and large national enterprises. We are seeking a consultative, strategic seller who excels at building long-term partnerships and navigating complex, high-stakes enterprise and government environments. You will lay the foundation for Cohere’s growth in the META by owning your territory and collaborating closely with Customer Success, Sales Development, Marketing, and Sales Engineering. This is a high-impact, autonomous role with ownership of a strategic territory. You’ll navigate intricate decision-making processes, work directly with C-suite and ministerial stakeholders, and position Cohere as a trusted AI partner across national-scale initiatives. Your insights will directly shape our product evolution and help prioritize features that drive enterprise and government adoption in META. This role requires someone who thrives in a fast-moving, evolving environment. The opportunity for impact is immense; Cohere’s potential in META is significant, and you will play a pivotal role in unlocking it.   AS A SENIOR ACCOUNT EXECUTIVE, YOU WILL: - Drive net-new customer acquisition through targeted outbound activity, executive engagement, and relationship building across META - Act as a trusted advisor to enterprise, public-sector, and sovereign prospects by understanding their goals and shaping AI solutions that deliver measurable value - Work closely with channel partners and major system integrators to scale outreach, accelerate adoption, and maximize customer success - Leverage senior-level relationships with executives and government decision-makers to drive strategic opportunities and long-term partnerships - Collaborate with Product and Engineering teams on strategic efforts to deliver enterprise and public-sector solutions - Partner with SDRs and Marketing to drive top-of-funnel activity and overall territory growth - Own the full sales cycle; including discovery, technical and business validation, proof-of-concept, procurement, and deal close within a team-selling environment YOU MAY BE A GOOD FIT IF YOU HAVE: - 10+ years of enterprise B2B sales experience, with a strong history of negotiating and closing complex, multi-stakeholder enterprise or government deals in META - A consistent track record of high performance and exceeding quota in high-growth or early-stage environments Experience selling complex enterprise technology solutions, developer platforms, private deployments, or AI/NLP products (preferred) - Deep relationships with senior executives across META enterprises, ministries, telcos, banks and sovereign entities - Experience working with channel partners and regional integrators to drive sales cycles and shared revenue goals - High tolerance for ambiguity, you are both a strategist and a hands-on operator capable of building a market from the ground up - Strong organizational skills, with the ability to manage multiple internal and external stakeholders across fast-moving deals - Creativity and strong technical acumen to structure unique, mutually beneficial partnerships - Excellent communication skills, you listen deeply, understand what matters to senior decision-makers, and confidently present to both technical and non-technical audiences - Arabic and English language proficiency 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 Workplace: hybrid Business Development Executive - Singapore We are seeking a highly motivated, adaptable and resourceful Business Development Executive to join our growing commercial team in Singapore and help build Sokin’s sales pipeline across Southeast Asia. About us Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business – so businesses thrive wherever they choose to grow. We deliver services across: Global payments and receivables Foreign exchange (FX) Treasury management Finance reconciliations We are rapidly expanding, with an established presence in EMEA, APAC and North America. Backed by strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide. Our clients span industries from sports and entertainment to logistics, travel and e-commerce. As our community grows, we’re building a team of exceptional people who share our ambition to transform the future of global payments. The role As a Business Development Executive, your primary responsibility will be to source, engage and qualify prospective clients, then secure well-qualified meetings for Sokin’s sales team. You will spend a significant part of your time on the phone, combining high-volume cold calling with personalised email, LinkedIn and warm outreach to build a consistent pipeline across Singapore and Southeast Asia. You will also respond quickly to leads generated by Marketing, meet prospects at industry events and nurture early-stage opportunities through disciplined follow-up. Working closely with Marketing, Customer Experience (CX) and Sales, you will ensure prospects receive a relevant, timely and professional experience from first contact through to handover. This is an excellent opportunity to build a career in global payments, FX and B2B sales. Key responsibilities Make consistent, high-quality outbound calls to prospective business clients, using a confident and consultative approach to open new conversations and generate qualified opportunities. Research and identify target companies and decision-makers through LinkedIn, CRM intelligence, industry publications, event lists, referrals and other prospecting channels. Execute coordinated cold and warm outreach across phone, email, LinkedIn and social channels, tailoring messages to each prospect’s business and cross-border payment needs. Respond promptly to inbound and marketing-generated leads, assess their level of interest and fit, and maintain momentum through timely, persistent follow-up. Conduct initial discovery and qualification conversations to understand each prospect’s business model, international payment flows, FX exposure, pain points, priorities and decision-making process. Schedule qualified discovery meetings and product demonstrations for the sales team, providing complete context and coordinating a smooth handover. Attend relevant industry events, conferences and networking opportunities, proactively engaging potential prospects and following up event-generated leads after each activity. Work closely with Marketing on target audiences, campaigns, messaging, events and lead feedback, helping improve lead quality and conversion. Partner with CX and Sales to ensure prospects receive accurate information, appropriate support and a consistent experience throughout the early sales journey. Maintain accurate and timely CRM records for every interaction, next step and qualification insight, and manage follow-up tasks with strong discipline. Deliver against agreed activity, meeting and qualified-opportunity targets, while continually improving outreach effectiveness through coaching, feedback and performance data. Share market feedback, common objections and prospect insights with Sales, Marketing and CX to help strengthen campaigns, messaging and the wider go-to-market approach. Requirements Proven experience in an outbound sales, business development, telesales or lead-generation role, including regular cold calling and cold outreach to business prospects. Confidence and resilience on the phone, with the ability to build rapport quickly, handle objections and maintain energy across a high volume of conversations. A strong hunter mentality and genuine motivation to create new opportunities, supported by persistence, curiosity and disciplined follow-up. Excellent written and verbal communication skills, with the ability to deliver clear, concise and relevant outreach across phone, email and LinkedIn. Ability to conduct structured initial discovery, ask thoughtful questions and qualify prospects against agreed criteria. Strong collaboration skills and the ability to work closely with Marketing, CX and Sales in a fast-moving, target-driven environment. Highly organised, with excellent time management and the discipline to manage multiple prospects, follow-ups and deadlines simultaneously. Experience using CRM and sales-outreach tools, with a commitment to accurate data entry and activity tracking. Results-driven and comfortable working towards clear activity, meeting and qualified-opportunity targets. Interest in developing a career in B2B sales, fintech, global payments, FX or financial services. Desirable Experience in fintech, payments, FX, financial services or another B2B environment. Knowledge of the Singapore business environment or exposure to prospecting across Southeast Asian markets. Experience following up leads from digital campaigns, events, webinars or other marketing activity. Additional language capabilities relevant to Sokin’s priority markets in Southeast Asia. Experience using LinkedIn Sales Navigator, sales-engagement tools or Zoho CRM. Diploma or bachelor’s degree in Business, Finance, Marketing or a related field, or equivalent professional experience. Working at Sokin You’ll join an ambitious, international team in a fast-paced fintech environment, with ongoing coaching and the opportunity to build your commercial skills, deepen your payments knowledge and develop a long-term career in sales. Please note: candidates must have the right to work in Singapore. Sokin is committed to building an inclusive workplace and welcomes applications from suitably qualified candidates.

Location: Remote, Canada; Remote, Poland; Remote, United Kingdom 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 As an Intermediate Backend Engineer (Python) in GitLab's Agent Foundations stage, you'll go beyond using AI tools. You'll help build the foundations for GitLab's agentic AI experiences: the platform that lets AI agents work across the whole software delivery lifecycle, not just write code. That covers the reusable building blocks agents and flows are made from as well as our core harness, Duo Developer. Most of your work will be backend engineering in Python, using libraries such as LangGraph to build secure, reliable and scalable features in our AI Gateway. You'll also work across the stack where needed. You'll work closely with engineers across the stage and other AI Engineering teams. This is a high-visibility area where GitLab's core platform meets its AI strategy. What you'll do Develop, ship and maintain features for the Duo Agent Platform in the Duo Workflow Service, the AI Gateway and, where needed, the GitLab monolith. Keep them secure, well-tested and performant. Build and improve agentic flows and their reusable parts with LangChain and LangGraph, including the Flow Registry. Work with Product Management, UX, frontend, backend and AI specialists to refine requirements and ship improvements in small iterations. Design, implement and review APIs (including GraphQL and REST) and the backend logic behind them, with reliable, scalable and clear contracts for clients such as the GitLab monolith, IDE extensions and Duo CLI. Improve and extend automated testing (pytest and other frameworks), including evaluations of agent and flow behavior, to strengthen quality and give developers faster feedback. Share standards, patterns and learnings with other engineers to raise the bar for responsible AI integration and evidence-driven engineering. Join Tier 2 on-call rotations to troubleshoot production issues, contribute to root cause analysis, and improve observability and resiliency. Keep an eye on the competitive landscape to help keep GitLab's agent platform best-in-class as more work becomes agentic. Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Experience building and maintaining production Python backend applications, including APIs, asynchronous or background processing, and data models. Experience with LLM application frameworks such as LangGraph, or designing and shipping AI-powered backend features or harnesses. Skill in designing or extending APIs (REST, GraphQL or gRPC) with attention to scalability, maintainability and backward compatibility. Comfort working across the stack in a mature codebase. Familiarity with Ruby on Rails and/or JavaScript and Vue is a plus. Experience finding and fixing performance bottlenecks in applications. Clear written and verbal communication, including technical proposals and documentation, in a remote, async, cross-functional team. Openness to learning and to applying skills from related technologies or fields. About the team The Agent Foundations stage builds the foundations for GitLab's agentic AI experiences. We provide the platform, catalog and execution features that help teams deliver resilient agents and flows to customers. The stage has three groups: Agent Developer, AI Catalog and Agent Execution. Between them, they own the GitLab Duo Developer foundational flow and the Flow Registry; the AI Catalog, including custom agents, custom flows and external agent integrations; and agent execution, agent tools and agent observability. Our engineers work async-first across EMEA, AMER, and India timezones. We work with teams across AI engineering and the rest of GitLab so the Duo Agent Platform can power many of GitLab's AI features. 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: Belgrade, Serbia Workplace: Remote 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: At Sensor Tower, we process tens of terabytes of data to power insights used by thousands of customers. We’re looking for curious, motivated engineers who want to grow their skills while helping us build fast, reliable systems that make data easy to access and understand. You’ll work closely with experienced engineers, contribute to meaningful features from day one, and learn how large-scale systems are designed, built, and optimized in production. If you enjoy learning, solving problems, and shipping real software that users rely on, we would love to meet you. Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values: - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent. What you’ll do: - Improving and building new features for an app market intelligence SaaS platform focused on the SMBs (AppMagic by Sensor Tower). - Participate in the full development life cycle, including design, implementation, quality polish, and release. - Work on a variety of tasks, such as parsing, data aggregation, API design, refactoring, and performance optimization. - Create and optimize complex database queries for data analysis and modification. - Perform code reviews, and suggest improvements to tools and processes. Backend stack: Golang, PostgreSQL, ClickHouse, MongoDB, Elasticsearch, RabbitMQ, GitLab, Docker, Kubernetes. What we are looking for: - +3 years of experience with Go (if you have lesser years of experience but have meaningful github contributions and other coding samples, this will be taken into consideration). - Strong SQL skills (Postgres/ClickHouse). You know when to rely on an ORM and when to write raw SQL, and you're comfortable writing and debugging complex queries. - Focusing on quality by writing testable code that simplifies debugging and ensures long-term reliability. - Ability to see the product through the user’s eyes and a passion for product excellence. - Curiosity & drive: a proactive approach to digging into sources yourself rather than relying on second-hand information, and an eagerness to understand why a project is valuable before you start coding. - Experience with CI/CD, docker, k8s as a plus. - Ability to pass technical interview both in Russian & English. - Hands-on, thoughtful use of AI tools in development. 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: Tbilisi, Georgia Workplace: Remote 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: At Sensor Tower, we process tens of terabytes of data to power insights used by thousands of customers. We’re looking for curious, motivated engineers who want to grow their skills while helping us build fast, reliable systems that make data easy to access and understand. You’ll work closely with experienced engineers, contribute to meaningful features from day one, and learn how large-scale systems are designed, built, and optimized in production. If you enjoy learning, solving problems, and shipping real software that users rely on, we would love to meet you. Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values: - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent. What you’ll do: - Improving and building new features for an app market intelligence SaaS platform focused on the SMBs (AppMagic by Sensor Tower). - Participate in the full development life cycle, including design, implementation, quality polish, and release. - Work on a variety of tasks, such as parsing, data aggregation, API design, refactoring, and performance optimization. - Create and optimize complex database queries for data analysis and modification. - Perform code reviews, and suggest improvements to tools and processes. Backend stack: Golang, PostgreSQL, ClickHouse, MongoDB, Elasticsearch, RabbitMQ, GitLab, Docker, Kubernetes. What we are looking for: - +3 years of experience with Go (if you have lesser years of experience but have meaningful github contributions and other coding samples, this will be taken into consideration). - Strong SQL skills (Postgres/ClickHouse). You know when to rely on an ORM and when to write raw SQL, and you're comfortable writing and debugging complex queries. - Focusing on quality by writing testable code that simplifies debugging and ensures long-term reliability. - Ability to see the product through the user’s eyes and a passion for product excellence. - Curiosity & drive: a proactive approach to digging into sources yourself rather than relying on second-hand information, and an eagerness to understand why a project is valuable before you start coding. - Experience with CI/CD, docker, k8s as a plus. - Ability to pass technical interview both in Russian & English. - Hands-on, thoughtful use of AI tools in development. 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: Krakow, Poland 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: At Sensor Tower, we process tens of terabytes of data to power insights used by thousands of customers. We’re looking for curious, motivated engineers who want to grow their skills while helping us build fast, reliable systems that make data easy to access and understand. You’ll work closely with experienced engineers, contribute to meaningful features from day one, and learn how large-scale systems are designed, built, and optimized in production. If you enjoy learning, solving problems, and shipping real software that users rely on, we would love to meet you. Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values: - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent. What you’ll do: - Improving and building new features for an app market intelligence SaaS platform focused on the SMBs (AppMagic by Sensor Tower). - Participate in the full development life cycle, including design, implementation, quality polish, and release. - Work on a variety of tasks, such as parsing, data aggregation, API design, refactoring, and performance optimization. - Create and optimize complex database queries for data analysis and modification. - Perform code reviews, and suggest improvements to tools and processes. Backend stack: Golang, PostgreSQL, ClickHouse, MongoDB, Elasticsearch, RabbitMQ, GitLab, Docker, Kubernetes. What we are looking for: - +3 years of experience with Go (if you have lesser years of experience but have meaningful github contributions and other coding samples, this will be taken into consideration). - Strong SQL skills (Postgres/ClickHouse). You know when to rely on an ORM and when to write raw SQL, and you're comfortable writing and debugging complex queries. - Focusing on quality by writing testable code that simplifies debugging and ensures long-term reliability. - Ability to see the product through the user’s eyes and a passion for product excellence. - Curiosity & drive: a proactive approach to digging into sources yourself rather than relying on second-hand information, and an eagerness to understand why a project is valuable before you start coding. - Experience with CI/CD, docker, k8s as a plus. - Ability to pass technical interview both in Russian & English. - Hands-on, thoughtful use of AI tools in development. 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: London; Europe; Toronto 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! Role overview: North is Cohere’s AI workspace platform for enterprises: a secure, customizable environment where companies can use AI across their real workflows while maintaining control over sensitive data. North connects AI agents with workplace tools, applications, and business context, helping users delegate complex work, build automations, inspect outputs, and collaborate with AI in production environments. As North becomes more capable, one of the most important questions is also one of the hardest: how do we know whether the model is actually getting better for the workflows customers care about? This role is about being the voice of North inside modelling. You will build the evaluation systems, feedback loops, and applied modelling workflows that make sure model progress translates into better product outcomes for North users. You will work closely with North product teams, customer-facing teams, and modelling teams to define what “good” means across the product surface, turn real usage and product direction into high-quality evals, and use those evals to guide model selection, patches, and regular model updates. This is neither a pure research role nor a conventional product engineering role. It is a rigorous applied MLE role for someone who cares deeply about measurement, model behavior, and real-world product quality. You should be excited by the craft of building careful evals: evals that capture messy agentic workflows, reflect actual customer needs, resist superficial benchmark hacking, and provide useful signal for where the product and models need to go next. Please note: this team works closely across Europe and East Coast North America time zones. We are open to candidates who can collaborate effectively within those hours. Key responsibilities: - Own the eval strategy for North: define what we need to measure across agent workflows, tool use, enterprise knowledge work such as deep research, document creation or editing, and other human-AI interactions. - Build high-quality evals from the realities of the product: user feedback, production failures, privacy-preserving usage logs, internal dogfooding, customer needs, and forward-looking product goals. - Create systems that continuously turn what North is learning from users, customers, and feature teams into evals, so measurement keeps pace with the product rather than becoming a static benchmark. - Be the voice of North inside modelling: extract clear insight from eval results, customer-derived data and product context, then turn model failures, capability gaps, and North-specific needs into actionable recommendations for the central modelling teams. Qualifications: - You have improved LLM-powered, agent-powered, or AI-product systems through evals, feedback loops, data curation, prompting, model adaptation, or model selection. - You care deeply about evaluation as a craft: representative tasks, precise rubrics, clean data, failure analysis, regression tracking, and knowing when a metric is giving false confidence. - You have strong applied MLE judgment and can reason clearly about model behavior, eval validity, product outcomes, and production tradeoffs. - You are comfortable working close to users and product teams, while translating messy qualitative signals into measurement that other modelling teams can act on. - You are self-directed, practical, and motivated by open-ended problems where the right answer requires both technical depth and product understanding. - You care about making AI systems genuinely useful in real enterprise settings, not just better on abstract benchmarks. If some of the above does not line up perfectly with your experience, we still encourage you to apply. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. 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: Remote Spain, Spain Workplace: remote Welcome to OLX  We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible. We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust. Our brands – including AutoTrader, OLX, Otomoto, Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.  Join OLX and see how far you can go. We believe the future of our products sits at the intersection of AI and design. Our ambition is to become an AI-native organization, where intelligent systems and human-centered design come together to create faster, smarter, and more meaningful customer experiences. We’re rethinking how products are built, how experiences are shaped, and how teams deliver impact. A key part of this transformation is creating the right foundations and infrastructure to enable high-quality experiences at scale - where design systems, patterns, and workflows are structured, scalable, and AI-readable, unlocking new levels of speed, consistency, and innovation. The role We're looking for a Senior Product Designer to join our Product Design team. Reporting to the Product Design Manager, you will shape design strategy across product squads, own craft and quality standards, and mentor junior and mid-level designers. You'll work at the intersection of design, code, and AI systems—using tools like Lovable, Claude, and Cursor to prototype and iterate. Beyond shipping product experiences, you'll establish patterns, build systems thinking, and elevate the entire team's capabilities in AI-native design. The output we expect is not just working artifacts: it's strategic direction that raises design quality and team maturity across the organization. What responsibilities will you get when working with us? Lead design strategy across one or more product squads, translating business goals and user needs into coherent design direction that shapes product roadmaps and team priorities. Use AI-native workflows to collapse the gap between strategy and production, prototyping and iterating directly in code rather than through static handoffs. Lead by example in adopting tools like Lovable, Claude, and Cursor for end-to-end design execution. Establish and maintain high craft standards by defining foundational and reusable Agentic Experience patterns, designing scalable components for the design system (Nexus), and reviewing work to ensure quality and consistency. Mentor and develop designers through critique, guidance, and structured feedback—helping them grow their craft, decision-making, and ability to work autonomously with AI-native tools. Partner with Product and Engineering to align on experience strategy, success metrics, and technical feasibility—translating design insights into business outcomes and measurable impact. Conduct user research and run experiments to validate design decisions. Define success metrics, gather feedback, and iterate fast—always balancing speed with quality and bias toward shipping. Lead design reviews, brainstorming sessions, and strategic discussions with your design peers and cross-functional partners. Communicate design rationale clearly with data, influence decisions, and build alignment around priorities. Identify gaps and opportunities for design improvement and innovation. Propose and champion new approaches to solving complex problems—whether through design systems improvements, new AI patterns, or cross-domain initiatives. As a Senior Product Designer, you will need: Proven  experience in UX / Digital Product Design, with a strong portfolio that showcases shipped work, live prototypes, and measurable business impact—not just static screens. We won’t be interviewing if you don’t have a portfolio to share beforehand. Demonstrated expertise in AI-native design: you actively use AI tools (Figma Make, Lovable, Cursor, Claude, etc.) as a core part of your design practice and can teach others how to leverage them effectively. Experience building or contributing to design systems, including code components. You understand how design decisions impact engineering implementation and can collaborate deeply with engineering teams. Proven track record mentoring and developing designers. You give and receive candid feedback, help others improve their craft, and create psychologically safe environments for growth and experimentation. Strong product and business thinking: ability to frame problems strategically, connect design decisions to business outcomes, and define success metrics that demonstrate measurable impact. Excellent English communication and influence skills: you articulate design rationale clearly with data, facilitate complex discussions, and drive alignment across cross-functional stakeholders and leadership. Growth mindset and adaptability: you thrive in ambiguity and rapid change, prioritize learning and impact over mastery of any specific tool, and are excited about emerging technologies and evolving design practices. What can we offer you: Work with and impact all OLX websites around the world Salary + annual bonus up to 15% of your annual gross salary Train and conference budget and free access to Udemy courses Permanent contract, health insurance and life insurance MacBook Pro or Windows Dell along with necessary accessories to make your work comfortable 100% remote work (and the possibility to work from our office in Lisboa or Barcelona) Hiring Process First Stage TA Screen This is your first interview with our Talent Acquisition team. We’ll explore your background, skills, and experience, as well as your approach to autonomy, ownership, and critical thinking. It’s also a chance to discuss your aspirations and ensure alignment with our culture and values. Second Stage Portfolio Review In this stage, you’ll meet with the Hiring Manager and a Designer from the team. We’ll explore your process thinking and approach to design through a case study of your choice. This is also a great opportunity to discuss how you collaborate with others and how your values align with our team culture. Third Stage AI Sandbox Challenge This is a dynamic and interactive session where you’ll have the chance to demonstrate your thought process in action. It’s designed to give us insight into how you approach challenges, integrate AI into your workflows, and apply your skills in a practical setting. We aim to make this process clear, collaborative, and reflective of the way we work as a team. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Remote, Austria; Remote, Germany 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 As a Senior Engagement Manager, PS Sales focused on Germany, you will play a critical role in driving GitLab’s growth in the region by structuring services engagements that create true partnership and shared success with our customers. You will lead efforts to design, position, and close outcome-oriented professional services engagements that translate complex DevSecOps and digital transformation initiatives into clear, measurable mission-critical outcomes. Reporting to the Senior Manager of Engagement Management, EMEA, you will work at the intersection of technical solutioning and customer requirements, aligning each engagement to their unique needs and objectives.  In your first year, you will build trusted advisor relationships with technical leaders and partners to help integrate professional services into account strategies from early discovery through successful delivery. This is a unique opportunity to shape large-scale implementations that improve how customers plan, build, secure, and operate software using GitLab. Some examples of our projects Designing and structuring outcome-based professional services engagements that align GitLab capabilities to customers needs Partnering with account executives, solutions architects, and delivery leaders to turn complex DevSecOps transformations into clear, actionable implementation roadmaps and statements of work What you'll do Build trusted advisor relationships with division chiefs, program managers, and technical leaders Conduct discovery sessions with with prospects and Systems Integrators to understand current-state capabilities, requirements and desired business outcomes Design outcome-oriented services proposals that align GitLab capabilities with customer success metrics and objectives Structure engagements and commercial proposals to clear outcomes maintaining flexibility for staff augmentation and packaged offerings when needed Develop custom-scoped SOWs and staffing plans for complex implementations, engaging with technical architects and delivery leadership to ensure deliverability Articulate GitLab's services value proposition, catalog offerings, and implementation methodologies in the context of customer requirements Gain agreement on scope and price while guiding customers through commercial terms, procurement processes, and contracting structures Manage project- and account-level escalations, ensuring rapid resolution and maintaining customer confidence Position consulting, training, success tiers, and additional solutions proactively to ensure successful outcomes and long-term customer retention Facilitate solutioning sessions including implementation roadmapping, enterprise strategy discussions, and executive-level requirements gathering Drive measurable outcomes by structuring services that support customer success metrics, accurately forecasting services bookings, and tracking key performance indicators related to bookings, margin, and attachment to strategic opportunities. Own the engagement lifecycle from initial discovery and pre-sales solutioning through scoping, SOW development, staffing alignment, and transition to delivery, ensuring engagements are deliverable, clearly defined, and outcome-oriented. Influence cross-functional teams by articulating GitLab’s professional services value proposition in the context of federal requirements and compliance frameworks, and by feeding customer insights back into sales, delivery, and practice management. Partner with regional sales and engagement leadership to prioritize and manage services opportunities that support critical deals and strategic initiatives, providing clear recommendations on risk management, negotiation strategies, and commercial structures. Foster a culture of enablement and continuous improvement by training field teams on how to position and sell professional services by sharing trends, feedback, and suggestions that improve go-to-market content and operational processes. What you'll bring Demonstrated progressive experience structuring, scoping, and selling professional services engagements in the region Proven success operating in a pre-sales context, conducting discovery, designing outcome-oriented proposals, and developing custom statements of work (SOWs) and staffing plans for large, complex implementation projects. Solid understanding of software development lifecycle (SDLC), DevOps practices, and cloud transformation initiatives, with the ability to connect technical solutions to mission objectives and measurable business outcomes. Effective communication and interpersonal skills with executive presence, able to build trusted advisor relationships with division chiefs, program managers, contracting stakeholders, and senior technical leaders. Highly developed facilitation, negotiation, and problem-solving skills, including the ability to guide customers through acquisition processes, commercial structures, and risk mitigation strategies. Comfort working cross-functionally with sales, solutions architecture, delivery, and operations teams to align on deal strategy, staffing, and successful execution in a fast-paced environment. Capacity to work autonomously and asynchronously in a fully remote setting, managing multiple complex opportunities while maintaining accurate forecasting and consistent alignment with GitLab values and goals. The Professional Services Engagement Management team at GitLab is dedicated to designing and structuring services engagements that set our customers up for successful, long-term adoption of our DevSecOps platform. We build and manage strategic relationships with customers to understand their goals, surface their services needs, and translate complex transformation initiatives into clear, outcome-oriented engagement plans. Composed of experienced services, consulting, and delivery professionals distributed across multiple regions, we operate asynchronously to support field teams, shape implementation strategies, and guide customers through their services journey. We focus on creating scalable engagement models, fostering open communication with internal stakeholders, and adapting our services offerings to the evolving needs of a rapidly maturing organization and its customers. For more on how our team works, see the Professional Services Engagement Management handbook page . 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: India Job Overview: We are seeking a skilled and experienced Azure DevOps Engineer with a strong background in Linux administration to join our dynamic team. The ideal candidate will be responsible for managing and optimizing our Azure cloud infrastructure, ensuring seamless CI/CD pipelines, and maintaining the security and efficiency of our Linux-based systems. Senior Level - L3 Required Azure Cloud Experience Key Responsibilities: • Azure Cloud Management: •  Design, implement, and manage Azure infrastructure using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep. •  Automate cloud deployments and manage resources using Azure DevOps pipelines, scripts, and other automation tools. •  Monitor and optimize the performance, scalability, and cost of Azure services. • CI/CD Pipeline Development: •  Create, maintain, and enhance CI/CD pipelines for applications and services hosted on Azure. •  Collaborate with development teams to integrate code repositories, build processes, and deployment automation. •  Ensure proper version control and release management practices are followed. • Linux Administration: •  Manage and maintain Linux servers, ensuring high availability, security, and performance. •  Perform regular system updates, patches, and configuration management using tools like Ansible, Puppet, or Chef. •  Troubleshoot and resolve system-related issues, including networking, security, and application performance. • Security and Compliance: •  Implement and enforce security best practices for both Azure cloud services and Linux servers. •  Conduct regular security assessments and audits, applying patches and updates as necessary. •  Ensure compliance with relevant regulations and industry standards. • Collaboration and Support: •  Work closely with development, QA, and operations teams to streamline processes and improve efficiency. •  Provide support for production systems, including on-call rotations as needed. •  Document processes, configurations, and best practices for both Azure and Linux environments. Required Skills and Qualifications: • Technical Expertise: •  Proven experience with Azure cloud services, including VM management, networking, storage, and security. •  Strong proficiency in Linux system administration, including experience with Red Hat, Ubuntu, or CentOS. •  Hands-on experience with CI/CD tools like Jenkins, Azure DevOps, GitLab, or similar. •  Proficient in scripting languages such as Bash, PowerShell, or Python. •  Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. • Problem-Solving: •  Strong analytical and troubleshooting skills, with the ability to diagnose and resolve complex technical issues. •  Experience in performance tuning, monitoring, and capacity planning for cloud and Linux environments. • Soft Skills: •  Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment. •  Strong documentation skills and attention to detail. •  Ability to work independently and manage multiple priorities in a fast-paced environment. Preferred Qualifications: •  Certification in Azure (e.g., Azure Administrator, Azure DevOps Engineer). •  Experience with cloud-native tools and services like Azure Kubernetes Service (AKS), Azure Functions, or Logic Apps. •  Experience with network security and VPN configuration in cloud environments. •  Familiarity with database management in cloud environments (SQL, NoSQL).

Location: Serbia Job Title: AI/ML Engineer Department: IT Services /IT Infrastructure Reports To: IT Project Manager Job Overview: The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities. The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential. Responsibilities: 1. Model Development and Optimization Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting. Select appropriate algorithms and techniques based on business needs and data characteristics. Continuously monitor and improve model performance using metrics and feedback loops. 2. Data Preparation and Feature Engineering Clean, preprocess, and transform structured and unstructured datasets for training and inference. Engineer and select relevant features to improve model accuracy and generalizability. Collaborate with data engineers to ensure data quality and accessibility. 3. Model Deployment and MLOps Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes. Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow. Monitor deployed models for drift, latency, and performance in production environments. 4. AI Solutions and Use Case Implementation Work with business stakeholders to translate real-world problems into AI/ML use cases. Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection). Contribute to proof-of-concept projects and assist in scaling successful models to production. 5. Research and Innovation Stay updated with the latest research, frameworks, and tools in machine learning and AI. Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability. Promote innovation by recommending and implementing modern AI strategies. 6. Cross-functional Collaboration Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery. Translate technical insights into business value through clear documentation and presentations. 7. Documentation and Best Practices Maintain comprehensive documentation for models, experiments, and pipelines. Ensure reproducibility, scalability, and compliance with data governance policies. Requirements: Experience: 3–5 years of hands-on experience in machine learning model development and deployment. Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods. Technical Skills: Strong knowledge of: Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch) Model evaluation, hyperparameter tuning, and pipeline automation REST APIs for model serving and integration Familiarity with: MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes) Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform) NLP or computer vision frameworks (e.g., Hugging Face, OpenCV) Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills, both verbal and written. Ability to work independently and within cross-functional teams. Curiosity, adaptability, and willingness to learn continuously.

Location: Romania Job Title: AI/ML Engineer Department: IT Services Reports To: IT Project Manager Job Overview: The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities. The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential. Responsibilities: 1. Model Development and Optimization Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting. Select appropriate algorithms and techniques based on business needs and data characteristics. Continuously monitor and improve model performance using metrics and feedback loops. 2. Data Preparation and Feature Engineering Clean, preprocess, and transform structured and unstructured datasets for training and inference. Engineer and select relevant features to improve model accuracy and generalizability. Collaborate with data engineers to ensure data quality and accessibility. 3. Model Deployment and MLOps Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes. Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow. Monitor deployed models for drift, latency, and performance in production environments. 4. AI Solutions and Use Case Implementation Work with business stakeholders to translate real-world problems into AI/ML use cases. Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection). Contribute to proof-of-concept projects and assist in scaling successful models to production. 5. Research and Innovation Stay updated with the latest research, frameworks, and tools in machine learning and AI. Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability. Promote innovation by recommending and implementing modern AI strategies. 6. Cross-functional Collaboration Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery. Translate technical insights into business value through clear documentation and presentations. 7. Documentation and Best Practices Maintain comprehensive documentation for models, experiments, and pipelines. Ensure reproducibility, scalability, and compliance with data governance policies. Requirements: Experience: 3–5 years of hands-on experience in machine learning model development and deployment. Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods. Technical Skills: Strong knowledge of: Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch) Model evaluation, hyperparameter tuning, and pipeline automation REST APIs for model serving and integration Familiarity with: MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes) Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform) NLP or computer vision frameworks (e.g., Hugging Face, OpenCV) Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills, both verbal and written. Ability to work independently and within cross-functional teams. Curiosity, adaptability, and willingness to learn continuously.

Location: India Job Title: AI/ML Engineer Department: IT Services Reports To: IT Project Manager Job Overview: The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities. The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential. Responsibilities: 1. Model Development and Optimization Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting. Select appropriate algorithms and techniques based on business needs and data characteristics. Continuously monitor and improve model performance using metrics and feedback loops. 2. Data Preparation and Feature Engineering Clean, preprocess, and transform structured and unstructured datasets for training and inference. Engineer and select relevant features to improve model accuracy and generalizability. Collaborate with data engineers to ensure data quality and accessibility. 3. Model Deployment and MLOps Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes. Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow. Monitor deployed models for drift, latency, and performance in production environments. 4. AI Solutions and Use Case Implementation Work with business stakeholders to translate real-world problems into AI/ML use cases. Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection). Contribute to proof-of-concept projects and assist in scaling successful models to production. 5. Research and Innovation Stay updated with the latest research, frameworks, and tools in machine learning and AI. Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability. Promote innovation by recommending and implementing modern AI strategies. 6. Cross-functional Collaboration Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery. Translate technical insights into business value through clear documentation and presentations. 7. Documentation and Best Practices Maintain comprehensive documentation for models, experiments, and pipelines. Ensure reproducibility, scalability, and compliance with data governance policies. Requirements: Experience: 3–5 years of hands-on experience in machine learning model development and deployment. Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods. Technical Skills: Strong knowledge of: Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch) Model evaluation, hyperparameter tuning, and pipeline automation REST APIs for model serving and integration Familiarity with: MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes) Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform) NLP or computer vision frameworks (e.g., Hugging Face, OpenCV) Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills, both verbal and written. Ability to work independently and within cross-functional teams. Curiosity, adaptability, and willingness to learn continuously.

Location: Russia; Belgrade, Serbia; Lagos, Nigeria Who we are We’re a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experiences. The position We are currently seeking to employ a Chief Financial Analyst to report to the CFO. You will have the authority to oversee and deliver solid models, forecasts and analyses that drive business strategy and sound decision making. Requirements Product profitability management – implement best practices and establish a solid process for regular assessment of Products. Business controlling – establish regular solid process for new initiatives assessment and implementation with post control function. Financial reporting and analysis – implement best practices for performance analysis including identification of key areas of risk, variance analysis, static and dynamic analysis. ALM – provide prudent knowledge and implement best practices in depo pricing, interest rate risk management, transfer pricing. OPEX management – help with the implementation of best practices in OPEX management like better cost planning, cost analytics, operational benchmarking and cost optimization. Modelling – implementation and establishing best practices and Product modelling, creating diversified of models depending on stakeholders’ needs. Budgeting – to provide best practices in budgeting, lead and support FPA team while preparation of Budgets and Forecasts. To implement operational budgets on a monthly basis. Deep coordination and integration with risk management and data science team – this relates on synchronization of the models with Risk team, implementing solid cut-off policy and procedures, better understanding of loan products, proper risk budgeting, coordination on data structuring and reporting. Benefits Remote work from anywhere in the world Performance bonus, 25+ paid vacations and day-offs, personal development plan Purpose: shape the future of fintech in Nigeria with products that reach millions, backed by a competitive salary Growth: thrive in a fast paced work environment with flexibility, collaboration, and access to cutting-edge tools Join a diverse, inclusive team where all voices are valued, and professional growth is a priority.

Location: Palm Beach, United States; Bal Harbour, United States; Boca Raton, United States; Aventura, United States; Miami, United States; Miami Beach, United States Turn your passion for luxury into a career opportunity. Explore the world of premium brands and make a lasting impact in fashion, beauty, jewelry, or automobiles. Join CXG, the global leader in customer experience, and work alongside iconic brand names. About the Role: As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury. • Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments. • Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide. What you will be doing: 1. Choose your assignments - align your missions with your personal preferences and profile. 2. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home. 3. Observe carefully - check the ambiance, service quality, and overall customer experience. 4. Provide honest feedback - use our platform to share your observations through questionnaires. Perks of the Role: • Collaborate with iconic brands across industries. • Flexible assignments tailored to your interests. • Compensation for your time and input, with the potential for reimbursement on purchases. • A user-friendly platform for managing missions and feedback. How to Join the CXG Community: 1. Register: sign up at live.cxg.com and confirm your email. 2. Complete your profile: fill out your details to 100% and get verified. 3. Get certified: pass the General Certification to access missions. 4. Apply for missions: explore assignments with brands that excite you. 5. Start evaluating: begin making a difference in the luxury market. Compensation: • Non-Purchase Evaluations: Earn a fee based on mission complexity. • Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief. About CXG At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants. Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live. On this platform, you can seamlessly manage missions, certifications, and feedback. Requirements Must be 18 years or older (21 years or older in the United States). Current customer of premium and luxury brands. Not currently under contract with any retail brands, to ensure impartiality. Punctual, organized, detail-oriented, and reliable. Observant and passionate about customer experience. No prior experience is required; we value honest feedback from genuine customers.

Location: Dammam, Saudi Arabia The Enterprise Computing & Cloud Architect is responsible for defining and governing the enterprise architecture for computing and infrastructure platforms across on-premises environments, private cloud, public cloud, and High-Performance Computing (HPC) and AI infrastructure. Key Responsibilities Own and maintain the enterprise architecture for computing platforms across on-premises, private cloud, public cloud, HPC, and AI environments. Define enterprise target architectures, reference architectures, technology standards, principles, and design patterns for computing and cloud platforms. Develop and maintain strategic technology roadmaps aligned with business objectives, enterprise architecture strategy, and emerging technology trends. Provide architecture leadership and assurance for major programs, transformation initiatives, and complex technology solutions. Evaluate and recommend infrastructure, cloud, computing, virtualization, containerization, HPC, and AI technologies based on enterprise requirements. Establish architectural principles and standards covering scalability, availability, performance, security, resilience, interoperability, and cost optimization. Ensure alignment between solution architectures and the enterprise architecture, technology standards, and strategic direction. Lead architecture reviews and provide technical governance throughout the solution lifecycle. Assess current-state environments and develop transition architectures and migration strategies toward the target state. Define cloud adoption, hybrid cloud, workload placement, and infrastructure modernization strategies. Collaborate with cybersecurity, data, applications, networking, operations, and other architecture domains to ensure integrated enterprise solutions. Provide architectural guidance for high-performance and AI computing platforms, including compute capacity, acceleration technologies, scalability, and integration requirements. Assess technology risks, technical debt, architectural dependencies, and opportunities for modernization. Required Qualifications & Experience Bachelor’s degree in Computer Engineering, Computer Science, Information Technology, or a related discipline. Master’s degree in a relevant field is preferred. 10+ years of experience in technology, infrastructure, cloud, or enterprise architecture , with significant experience in large-scale enterprise environments. Demonstrated experience designing and governing complex computing and infrastructure platforms. Strong experience across on-premises infrastructure and public/private cloud environments. Experience with HPC and/or AI infrastructure architecture is highly desirable. Strong understanding of cloud architecture, virtualization, containers, compute platforms, storage, networking, and infrastructure automation. Experience developing enterprise architecture standards, reference architectures, technology roadmaps, and governance frameworks. Proven experience providing architectural assurance for major programs and complex technology implementations. Strong understanding of security, resilience, availability, scalability, performance, and infrastructure cost optimization principles. Excellent stakeholder management, communication, analytical, and problem-solving skills. Preferred Certifications Relevant architecture, cloud, or technology certifications such as: TOGAF or equivalent enterprise architecture certification. AWS, Microsoft Azure, or Google Cloud architecture certifications. Relevant VMware, Kubernetes, HPC, AI infrastructure, or other specialist technology certifications. Key Competencies Enterprise & Technology Architecture Cloud & Hybrid Cloud Architecture Computing & Infrastructure Architecture HPC & AI Infrastructure Architecture Governance & Assurance Technology Strategy & Roadmapping Solution Evaluation & Design Technology Risk Management Stakeholder & Vendor Management Strategic Thinking and Innovation

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Washington, D.C. What you'll do As a Principal Public Sector Architect you understand your customer’s scope and mission. You have a deep understanding of key drivers for the technology decisions in large government and education and how those drivers support their goals. You are familiar with key regulatory guidelines and constraints and the unique nature of those factors on technology modernization. You can credibly engage across various technical domains. You have the capability to converse on risk management and have the ability to articulate the impact of risk to the organization in terms the government understands. You have an understanding of the factors and trends that are top of mind in government for CIOs, CISOs and other agency executives are thinking about to increase government services’ effectiveness, security and end user experience. You will help our customers build digital transformation strategies using the Cloudflare technologies and platform.. You are aware of what comes next and you can position the value proposition of the Cloudflare platform in tangible benefits to the government mission, without necessarily referring to specific individual technologies. Your aim is to understand our customers' journey, helping them identify, understand, and scope their needs as they replace or migrate from existing edge cloud and/or on-premises technologies. You will help them comprehend the value proposition of Cloudflare technology in relation to their transformation or other mandates, and you will guide them in building a roadmap towards their next-generation secure digital architecture using our platform. In this role, you will work as a part of a highly visible structured team to build and maintain relationships with key stakeholders within our strategic customers. You will have a track record of public engagement and experience working internally to build the business case for solution development and enhancements. An equally important component of this role is the expectation that you scale your industry expertise and knowledge across the wider Pre-Sales organization. What you will do: Responsible for working with customers to define tailored visions, creating a path for innovation stretching multiple years out. Develop a roadmap with customer and internal Cloudflare stakeholders and together push the boundaries on how Cloudflare can help large government and education move forward. This includes identifying, understanding, scoping, and guiding the journey to replace or migrate from existing edge cloud and/or on-premises technologies. Build and maintain the long term technical relationship of strategic accounts, ensuring the successful design, proof and adoption of Cloudflare as a part of the customers critical infrastructure. Identify and drive strategic conversations with key stakeholders with the purpose of increasing our reputation and authority within the marketplace, and further establishing our footprint within the customer’s landscape. Collaborate with specialists, architects, and subject matter experts across diverse functions. Apply extensive vertical knowledge and domain expertise to enhance the depth and effectiveness of engagement. Available for consultation throughout a strategic engagement's lifecycle, from account planning and initial vision setting to guiding stakeholders through Solution Design. Support for Business Value Assessment creation and delivery. Contribute industry expertise to guide Cloudflare’s go-to-market and platform evolution. Travel up to 40% during the quarter to support partner engagements, attend conferences, represent Cloudflare at industry events, and collaborate with your teammates. Desirable skills, knowledge and experiences: 15+ years of prior Technical Sales, Engineering, and/or first-hand industry experience required. Demonstrable experience in building trust and maintaining relationships with key customer stakeholders. Strong understanding of both business strategy and technology at a deep level. Aware of government and industry standards, frameworks and compliance requirements (i.e, HIPAA, PCI, SOX, FEDRAMP, GDPR, NIS2, etc.). Experience in designing architecture, migration, and implementation of cloud, edge and on-premises technologies from industry incumbent legacy providers and solutions. Compensation Compensation may be adjusted depending on work location. For Washington, DC based hires: Estimated annual salary of $257 ,000 - $31 4,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Chicago, Illinois Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? It’s an exciting time at Fin - especially within our Deployment Services team. We’re helping some of the world’s most innovative companies transform how they support their customers through AI-powered customer service. As a Senior AI Deployment Consultant , you’ll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform. You’ll be the trusted advisor who ensures our customers achieve value quickly and at scale, guiding them not only to do the foundations, but set a direction on how they measure their impact with AI. You’ll partner with a dedicated team of engineers for complex technical work while managing the overall project strategy, timeline, and delivery. This is a perfect role for someone who thrives at the intersection of technology, customer success, and execution excellence. What will I be doing? Own end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin - acting as a primary point of contact throughout. Hold projects to scope, schedule, and budget that align with each customer’s unique goals and support model and keep GTM partners current on project state. Lead discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans. Own the hands-on configuration of the Fin platform—spanning automation, workflows, and analytics—while orchestrating technical readiness across data migrations, integrations, and security protocols. Partner with Forward Deployed Engineers to solve complex technical hurdles while maintaining autonomy over the vast majority of platform implementation. Coordinate technical readiness activities, including integrations, data migrations, and security reviews. Run projects with operational precision: maintained risk logs, a structured reporting cadence to both customer and internal leadership, clear escalation paths, and documented decisions. Surface risk early enough that it can be mitigated rather than managed. Partner with Sales, Customer Success, Product, and R&D - shaping deployment strategy up front and feeding what you learn in the field back into the roadmap. Contribute to the evolution of our Deployment Services methodology, templates, and best practices. Apply AI tooling to your own delivery work to compress discovery, documentation, and asset creation - and share what works back to the team. What skills do I need? 5+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies. A track record of delivering large, complex, multi-stakeholder projects on time and on budget with low escalation rates - and a clear point of view on the operating discipline that makes that repeatable. Hands-on technical capability. You can configure platforms yourself, and you're fluent enough in APIs, data flows, and integration patterns to know when a requirement is a config problem versus an engineering one. Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders. Strong judgment under ambiguity - you can prioritize, decide, and move when requirements aren't fully formed, and you're resilient in a fast-paced, changing environment. Daily use of AI tooling in your own workflow - discovery synthesis, documentation, customer assets - and the ability to show how it's changed your delivery pace. We'll ask about this. Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus. How Will I Be Measured? Automation Rate - Are you driving your customers to achieve high adoption of Fin? CX Score — do customers rate the deployment experience highly? On-time, on-budget delivery — do your projects land against the timeline and scope you committed to? Time-to-value — how quickly do customers get to a working, measurable Fin deployment? Contribution to the team — the templates, mentorship, and best practices you leave behind. *Proof of eligibility to work in the United States is required. The base salary range for candidates within the Greater Chicago Area is $109,000-$159,650. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.