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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: We're looking for experienced software engineers to join our Beneficial Deployments Engineering team to help bring Claude to communities that need AI most—nonprofits, educational institutions, healthcare organizations, life sciences researchers, and economic mobility initiatives globally. This role requires strong full-stack engineering skills combined with deep empathy for underserved communities and mission-driven organizations. As an IC engineer on this team, you'll solve unique technical challenges at the intersection of AI accessibility, social impact, and scalable product development, and will help make frontier AI accessible to organizations working on humanity's most pressing challenges. Core Responsibilities: Design and implement infrastructure that enables accessible, self-serve onboarding and verification systems for global markets Understand the needs of underserved communities and translate them into scalable technical and product solutions Build flexible pricing, billing, and provisioning systems that balance accessibility with sustainability for resource-constrained organizations Develop MCP integrations that connect Claude with mission-critical tools used by nonprofits, educators, healthcare workers, and researchers Develop multilingual and accessibility capabilities across platforms Build systems to measure and demonstrate social impact at scale Partner with product, partnerships, and field teams to rapidly prototype and validate solutions with real communities Ensure platform reliability and performance for mission-critical deployments in humanitarian and social impact contexts You might be a good fit if you: Have 6+ years of practical experience as a full-stack software engineer Have experience building consumer or enterprise products that prioritize accessibility, inclusivity, or served underserved populations Have technical expertise in identity management, billing systems, self-serve onboarding flows, or API integrations Have a builder mentality with ability to ship products quickly while maintaining quality for diverse user needs Care deeply about using technology for social good and want your engineering work to have meaningful impact Have excellent collaboration skills and can work effectively with product, partnerships, and field teams Strong candidates may also: Experience with international markets, multilingual products, or accessibility features Background in nonprofit technology, social impact startups, or mission-driven organizations Experience with AI/ML products and LLM applications Familiarity with building products for resource-constrained environments or emerging markets Understanding of compliance requirements in regulated sectors Startup experience, particularly in scaling products from zero to one Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, England Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for a Small Business Account Executive to join our team of high performing Account Executives. Figma is growing and moving fast. Our next team member will have an agile, dynamic mindset, be comfortable embracing change and a true team-player. You won’t be alone! Figma has an incredible team and you’ll work closely with other groups including Support, Design, Engineering, Product Marketing, Customer Success, and Community. You will report directly to our SMB Sales Manager who is also based in London. This is a full time role with hybrid working from our London office. What you'll do at Figma: Focus 100% on new customer acquisition, this is primarily an outbound driven role Prioritise your regional EMEA accounts, outbound prospect and build a strong pipeline Manage a 360 deal cycle and exceed targets Own sales activity and monthly revenue forecasting in Salesforce Work to develop and circulate best practices in a collaboration first environment We’d love to hear from you if you have: SDR/BDR experience in a pure outbound function AE closing experience Strong written prospecting and verbal communication skills Proven track record of success in your prior roles Competitive, adaptable, ambitious, collaborative and curious mindset Experience with Salesforce, Outreach and Sales Navigator While it’s not required, it’s an added plus if you also have: Passionate about design At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. #LI At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic is looking for a talented AI Research Recruiter to partner with our Research teams. In this pivotal role, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems. Responsibilities: Develop and execute strategic recruiting plans to identify, source, and hire highly qualified candidates, with a focus on Machine Learning and AI research talent Partner with Research hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications Enhance and implement recruiting processes and programs while maintaining an inclusive and high talent bar, such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams Enhance Anthropic's employer brand within the research and science community to showcase our mission, culture, and values to candidates Stay up-to-date on recruiting best practices, emerging sourcing techniques, interview innovations, and workplace trends You may be a good fit if you: Have 5+ years of experience in full life cycle recruiting supporting technical research teams Have a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations Are experimental and are open to new, creative recruiting ideas, or have experience working with hiring managers who are open to non-traditional talent strategies Thrive in fast-paced, dynamic environments and enjoy juggling multiple priorities Possess strong technical aptitude with the ability to understand and evaluate technical qualifications Have enthusiasm for deeply understanding the needs of researchers and innovating on recruiting processes to make them more tailored to the world of research Have excellent organizational skills and attention to detail, as well as a proactive mindset and ability to operate with autonomy Have experience partnering with researchers and hiring talent that work on GenAI and LLMs Have a proven track record of scaling and building diverse and high-performing teams in a fast-paced, high-growth startup environment Strong candidates may also: Bring a deep interest in AI safety research Have experience partnering with researchers and hiring talent that work on GenAI and LLMs Have experience with academic recruitment and research communities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $175,000 — $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Amsterdam, Netherlands; Utrecht, Netherlands; Alkmaar, Netherlands; Amersfoort, Netherlands Workplace: on-site At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Operations Manager to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Role Description: This role will oversee and continuously improve daily operations across our European business. Reporting directly to the Global Director of Operations, you will take ownership of logistics processes, 3PL relationships, and quality management. You’ll thrive in a dynamic environment, balancing strategic process building with hands-on problem solving. Key Responsibilities • Develop, scale, and optimize operational workflows, including import/export activities for devices across Europe • Manage and coordinate with 3PL partners to ensure on-time availability of devices for sales and distribution • Track, analyze, and report on KPIs to drive continuous improvement and operational excellence • Oversee device grading and quality control standards to safeguard exceptional product quality • Collaborate with cross-functional teams (Sales, Finance, Tech, and Customer Success) to enable sustainable growth • Support ad-hoc projects and operational requests with flexibility, speed, and ownership • Minimum 5+ years of operational experience in supply chain, logistics, or device management, with at least 2 years of proven experience in the EU region • Strong expertise in supply chain operations and 3PL management • Proven proficiency in Microsoft Excel (essential for data analysis and reporting) • Experience with grading / quality assurance of electronic devices is a strong plus • Fluent in English; additional European language skills (e.g., Dutch, German, French) would be an advantage. • Proactive, analytical, and solution-oriented with excellent problem-solving skills • Effective communicator who thrives in a fast-paced, international environment Education: Preferably Master’s degree in Business, Operations, Supply Chain or related field.

Location: Munich, Germany Our client is a digital strategy consultancy founded in 2011 and headquartered in Munich, Germany. With more than 300 employees and over 2,000 projects completed worldwide, the firm supports clients in over 50 countries. They specializes in four core areas: Transaction Advisory (digital due diligence, exit readiness) Digital Strategy (growth models, go-to-market, transformation roadmaps) Digital Execution (marketing, automation, experience design, integrations) Tech, Data & AI Transformation (architecture, AI solutions, data platforms) The company works closely with investors, private equity firms, mid-sized companies, and corporates, focusing on measurable value creation. Its unique strength lies in combining strategy with hands-on implementation to unlock digital growth and transformation. What we look for: You jointly take on the strategic leadership and further development of the Transaction Advisory / Strategy Team with our management. You have overall responsibility for customer acquisition, team staffing, strategic project prioritization, project execution, success, and profitability, as well as customer satisfaction. You are responsible for the successful end-to-end implementation of international Commercial / Digital / Tech /Data Due Dilligence projects for buy-side and sell-side transactions, defining the appropriate strategy together with the customer, defining requirements, and ensuring the smooth implementation of customer projects. You drive the further development of internal know-how (Thought Leadership) as well as the establishment of partnerships with leading large- and mid-cap private equity funds. You establish and optimize the standardization of processes and templates, including quality assurance processes for ongoing projects or newly developed solutions. You play a proactive role in sales and pitching activities and develop new (AI) services based on current trends and industry developments. You work closely with the their Leadership Team from all departments. You represent our client and the Transaction Advisory / Strategy Team at events, trade shows, and universities. You work together with the People & Culture Team on the further development of the Transaction Advisory / Strategy Team and support the recruitment of top talent. Requirements You hold a university degree with excellent performance in Computer Science, Business Administration, Economics, or a related field (an MBA is advantageous). You have 8+ years of professional experience, focusing on (digital) strategy consultinng, transaction advisory, or digital marketing. You have expert knowledge and a deep understanding of tech, marketing and AI, as well as the latest tools and current trends in the digital sector. You have proven experience and excellent skills in team coordination, leadership, and project management. You have strong analytical and conceptual skills and work in a structured and results-oriented manner. You excel in oral and written communication skills. You are a service-oriented and communicative team player with a high degree of self-responsibility and passion for your work. You speak English fluently; regional languages are an advantage. Benefits Your impact is crucial : You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation. Your hard work pays off! You benefit from attractive salary packages, participation in sales success and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits. Your development - our concern: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility and have the opportunity to shape your individual career at our client - with us you will become a digital leader! Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, Berlin, Hamburg, London, Milan and Amsterdam. Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries. Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships as well as mobility and meal allowances and a wide range of other company benefits.

Location: Munich, Germany Our client is a digital strategy consultancy founded in 2011 and headquartered in Munich, Germany. With more than 300 employees and over 2,000 projects completed worldwide, the firm supports clients in over 50 countries. They specializes in four core areas: Transaction Advisory (digital due diligence, exit readiness) Digital Strategy (growth models, go-to-market, transformation roadmaps) Digital Execution (marketing, automation, experience design, integrations) Tech, Data & AI Transformation (architecture, AI solutions, data platforms) The company works closely with investors, private equity firms, mid-sized companies, and corporates, focusing on measurable value creation. Its unique strength lies in combining strategy with hands-on implementation to unlock digital growth and transformation. What we look for: You jointly take on the strategic leadership and further development of the Digital Strategy & Execution Team with our management. You have overall responsibility for customer acquisition, team staffing, strategic project prioritization, project execution, success, and profitability, as well as customer satisfaction. You are responsible for the successful end-to-end implementation of projects, defining the appropriate (go-to-market) strategy together with the customer, defining requirements, and ensuring the smooth implementation of customer projects and excellent customer experience. You drive the further development of internal know-how (Thought Leadership) as well as the establishment of external partnerships. You establish and optimize the standardization of processes and templates, including quality assurance processes for ongoing projects or newly developed solutions. You play a proactive role in sales and pitching activities and develop new services based on current trends and industry developments. You work closely with the their Leadership Team from all departments. You represent our client and the Digital Strategy & Execution Team at events, trade shows, and universities. You work together with the People & Culture Team on the further development of the Strategy & Execution Team and support the recruitment of top talent. Requirements You hold a university degree with excellent performance in Management, Business Administration, Economics, or a related field (an MBA is advantageous). You have 8+ years of professional experience in the digital environment, focusing on strategy, transaction advisory, or digital marketing. You have expert knowledge and a deep understanding of the tech and/or commerce landscape, as well as the latest tools and current trends in the field of digital Marketing and Sales. You have proven experience and excellent skills in team coordination, leadership, and project management. You have strong analytical and conceptual skills and work in a structured and results-oriented manner. You excel in oral and written communication skills. You are a service-oriented and communicative team player with a high degree of self-responsibility and passion for your work. You speak English fluently; regional languages are an advantage. Benefits Your impact is crucial : You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation. Your hard work pays off! You benefit from attractive salary packages, participation in sales success and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits. Your development - our concern: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility and have the opportunity to shape your individual career at our client - with us you will become a digital leader! Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, Berlin, Hamburg, London, Milan and Amsterdam. Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries. Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships as well as mobility and meal allowances and a wide range of other company benefits.

Location: Munich, Germany Our client is a digital strategy consultancy founded in 2011 and headquartered in Munich, Germany. With more than 300 employees and over 2,000 projects completed worldwide, the firm supports clients in over 50 countries. They specializes in four core areas: Transaction Advisory (digital due diligence, exit readiness) Digital Strategy (growth models, go-to-market, transformation roadmaps) Digital Execution (marketing, automation, experience design, integrations) Tech, Data & AI Transformation (architecture, AI solutions, data platforms) The company works closely with investors, private equity firms, mid-sized companies, and corporates, focusing on measurable value creation. Its unique strength lies in combining strategy with hands-on implementation to unlock digital growth and transformation. What we look for: You take responsibility for international commercial / digital / tech / data due diligence reports for buy- and sell-side transactions. You manage analyses of (digital) business models for leading private equity clients in an international context. You develop an equity story and (digital) value creation initiatives for portfolio companies of our private equity clients. You identify client consulting needs, structure the problem, and independently develop solutions. You analyze the strategic impact of artificial intelligence (AI) on business models and its application fields. You lead project teams and coordinate with external parties. You are responsible for the organization of core activities such as workshops, meetings, research, stakeholder engagement, business analyses, technical analyses and solution design as part of both external and internal projects. You supervise and develop the team and support recruiting activities for new and high-potential managers. Requirements You hold a university degree with excellent grades in business, economics, computer science or a related discipline (Master's degree or MBA are a plus). You bring at least 5 years of relevant work experience with a focus on (digital) strategy consulting, transaction advisory or digital marketing. You have a strong affinity for technology, including digital marketing, technology or AI. You demonstrate a distinct customer orientation and possess the ability to mediate between the client and the company. You have strong analytical skills combined with a creative mind. You possess strong Excel and PowerPoint skills. You have excellent verbal and written communication skills. You are a service-oriented and communicative team player with a passion for your work. You speak English fluently; regional languages are an advantage. Benefits Your impact is crucial : You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation. Your hard work pays off! You benefit from attractive salary packages, participation in sales success and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits. Your development - our concern: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility and have the opportunity to shape your individual career at our client - with us you will become a digital leader! Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, Berlin, Hamburg, London, Milan and Amsterdam. Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries. Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships as well as mobility and meal allowances and a wide range of other company benefits.

Location: Munich, Germany Our client is a digital strategy consultancy founded in 2011 and headquartered in Munich, Germany. With more than 300 employees and over 2,000 projects completed worldwide, the firm supports clients in over 50 countries. They specializes in four core areas: Transaction Advisory (digital due diligence, exit readiness) Digital Strategy (growth models, go-to-market, transformation roadmaps) Digital Execution (marketing, automation, experience design, integrations) Tech, Data & AI Transformation (architecture, AI solutions, data platforms) The company works closely with investors, private equity firms, mid-sized companies, and corporates, focusing on measurable value creation. Its unique strength lies in combining strategy with hands-on implementation to unlock digital growth and transformation. What we look for: You take responsibility for strategic projects and clients in an international context. You lead project teams and coordinate with external stakeholders. You create written communication for clients that are impactful and meaningful in a variety of media including reports and slide packs. You lead the organization of activities such as workshops, meetings, research, stakeholder engagement, business analyses, technical analyses, and solution design as part of both client projects and internal projects. You conduct research into new topics that are of interest to our clients. You run workshops with clients supporting them in content questions. You supervise and develop your team and support recruiting activities for new and high-potential strategy managers. Requirements You hold a university degree with excellent grades in business, economics, or a related discipline (Master's degree or MBA are a plus). You bring at least 5 years of relevant work experience in a digital marketing environment with a focus on (digital) strategy, transaction advisory, or digital marketing – additional experience is a plus. You demonstrate proven high analytical ability and a strong affinity for technologies combined with a creative mind. You exhibit outstanding team coordination and team leading skills. You showcase very good Excel and PowerPoint skills. You are a service-oriented and communicative team player with a passion for work. You display distinct customer orientation and possess the ability to mediate between the client and the company. You have excellent verbal and written communication skills, particularly in written short copy. You speak English fluently; regional languages are an advantage. Benefits Your impact is crucial : You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation. Your hard work pays off! You benefit from attractive salary packages, participation in sales success and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits. Your development - our concern: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility and have the opportunity to shape your individual career at our client - with us you will become a digital leader! Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, Berlin, Hamburg, London, Milan and Amsterdam. Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries. Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships as well as mobility and meal allowances and a wide range of other company benefits.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in London. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £260,000 — £630,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in San Francisco. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Lagos, Nigeria Renmoney is building the next-generation ecosystem for financial services in Nigeria, spanning retail savings, lending, digital banking, SME services and partnerships. As we expand beyond our mobile app, we are developing alternate channels that bring financial services closer to customers wherever they are. As Product Manager for Alternate Channels, you will act as the CEO of a pivotal business line. You will own the strategy, roadmap and commercial success of our alternate channels portfolio, covering agent banking, POS merchant acquiring, Distribution-led acquisition, banking, lending, and embedded finance (BaaS) partnerships. You will build products and platforms that put Renmoney’s services in the hands of every Nigerian, transforming corner shops into financial hubs and everyday apps into credit access points. This role demands strategic vision, hands-on execution, and strong commercial acumen. You will manage the P&L, collaborate with cross-functional teams, and ensure that our channels deliver profitable growth while adhering to regulatory requirements. Key Responsibilities 1. Strategic Leadership & Vision Develop and champion a compelling product vision for alternate channels, aligned with Renmoney’s mission of financial inclusion and business growth. Own the P&L for the alternate channels portfolio, setting pricing and revenue targets and managing costs to ensure profitability. Conduct market analysis, competitor benchmarking and customer research to identify new opportunities across agent banking, POS acquiring, distribution-led lending and embedded finance. Shape short- and long-term roadmaps for each channel, driving synergy with Renmoney’s core digital products. 2. Product Lifecycle Management & Execution Lead the end-to-end product development lifecycle from ideation, requirements gathering and user story creation to launch, iteration and retirement. Agent Banking: Design and enhance the agent platform (mobile and USSD) to facilitate deposits, withdrawals, transfers, bill payments and loan origination. Build a best-in-class agent onboarding and management system. POS Merchant Acquiring: Develop a differentiated value proposition for merchants. Oversee the strategy for POS devices, settlement processes and value-added services such as merchant lending and inventory management. Distribution-Led Lending: Design and launch credit products that can be offered through partners (e.g., retail chains, device financiers, agent networks), balancing growth with prudent risk management. Embedded Finance (BaaS): Define our API product suite, enabling third-party fintechs and businesses to integrate Renmoney’s credit and financial services into their platforms. 3. Growth, Efficiency & Customer Experience Collaborate with Sales and Marketing to design and execute acquisition and activation strategies for agents and merchants. Drive performance against numeric targets Increase the number of active agents and merchants by ≥30% year-over-year. Grow the value and volume of loans and savings balances disbursed via alternate channels by ≥40%. Reduce onboarding and transaction turnaround times by ≥25%. Improve cost per acquisition (CPA) by ≥15% while maintaining healthy unit economics. Establish feedback loops with agents, merchants and partners and use data to drive continuous improvement in product features and processes. Champion a world-class experience for all stakeholders and ensure high Net Promoter Scores (NPS), targeting a ≥20‑point improvement. 4. Compliance & Risk Management Ensure all alternate channels adhere to Central Bank of Nigeria (CBN) regulations and other applicable standards. Maintain 100% KYC compliance and zero major regulatory incidents. Work closely with Risk, Compliance and Legal teams to design products and processes that minimize fraud and support robust credit risk management. Maintain a non-performing loan (NPL) rate below 5% for loans disbursed via alternate channels. Lead regular audits and embed controls throughout the product lifecycle. Success Metrics / KPIs Your performance will be measured against clear, quantifiable KPIs that directly tie to business outcomes: • Scale & Reach: ≥30% YoY growth in active agents and merchants; monthly transaction volume and value targets for agent banking and POS acquiring. • Portfolio Growth: ≥40% YoY growth in loan disbursement and savings balances via alternate channels; maintain NPL rates under 5%. • Profitability: Achieve revenue and net transaction value (NTV) targets for each channel; manage the portfolio’s P&L to ensure profitable growth. • Efficiency & Quality: Reduce agent/merchant onboarding time and loan/savings processing turnaround times by ≥25%; maintain high transaction success rates (TSR) and improve CPA by ≥15%. • Compliance & Risk: 100% KYC compliance and zero major regulatory findings; robust fraud detection and risk mitigation. • Satisfaction: Achieve a ≥20‑point improvement in NPS for agents, merchants and partners; deliver best-in-class support and service resolution times. Requirements 5–7 years of product management or channel management experience in fintech, banking, payments or digital services. Hands-on experience launching and scaling at least one of the following: agent banking networks, POS merchant acquiring, B2B2C lending products, or embedded finance APIs. Proven track record managing a product P&L and executing growth strategies in emerging markets. Strong analytical and quantitative skills; proficiency in SQL, Excel, Mixpanel/Amplitude or similar analytics tools. Excellent stakeholder management and leadership skills; ability to influence cross-functional teams and engage senior stakeholders. Deep understanding of the Nigerian financial services regulatory landscape, particularly CBN guidelines on agent banking, POS acquiring, KYC and consumer protection. Bachelor’s degree in Business, Engineering or a related field; MBA or relevant certification (e.g., Certified Scrum Product Owner) is a plus. Benefits Renmoney is at the forefront of Nigeria’s digital banking revolution. We are democratizing financial services for millions of Nigerians and powering small businesses with innovative credit and savings solutions. As the Product Manager for Alternate Channels, you will: •          Build products that empower thousands of entrepreneurs and serve millions of customers. •          Own and grow a core engine of Renmoney's future; you are the CEO of your product with the autonomy to define roadmaps and the resources to execute them. •          Work on complex challenges alongside talented engineers, designers, marketers and risk professionals. •          Operate in one of the most dynamic and competitive fintech markets in the world, with the backing of an established and trusted brand. If you are ready to drive meaningful impact and build the next frontier of financial inclusion in Nigeria, Renmoney is the place to accelerate your career.

Location: San Francisco, California 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? As a MidMarket Account Executive, you will be a key member of the team leading the growth of our new business. We’re building a world-class sales organization, and the road ahead is going to be very exciting. This is a seat at the centre of the biggest shift selling has seen in decades. You'll be selling AI agents to companies rethinking how their entire customer experience works, which means the conversations are strategic, technical and genuinely interesting. You'll also be using AI every day to run your own territory, from qualification to research to how you read a deal, so you're not just talking about the technology, you're operating on it. As a rapidly expanding business, there is a high degree of opportunity for progression, creativity, and ownership. What will I be doing? Evangelize AI transformation by spearheading the growth and adoption of Fin across your given territory With access to the best internal AI tooling and enablement the market, maintain category leading and differentiating knowledge of AI as the category evolves Manage the full sales cycle, from prospecting to close, through a highly consultative sales approach Regardless of your segment, manage a varying volume complex 6 figure new business deals (at Fin, large and xl deals exist in every segment) Articulate Fin's value and differentiation using the Command of the Message framework / MEDDPICC. If this is new to you, you will be trained on this leading sales methodology Learn from sales leaders how to drive true control of your business; from QBR, territory planning and weekly / monthly forecasting. Partner with Sales Leaders, Sales Engineers and the wider solutions team to win flagship logos in the market Represent the voice of the customer to cross-functional partners, including R&D, Product, and Marketing What skills do I need? 4+ years experience as an Account Executive 2+ years of SaaS experience selling similar products Experience meeting and exceeding quota in a closing role, with a track record of selling SaaS or DBaaS Experience, passion and success in outbound prospecting Strong sales acumen and a general interest in the businesses you work with Experience selling products with technical complexity or thorough implementation (bonus to have) AI fluent and/or deep interest in AI tooling Comfortable and energized operating and problem-solving in a fast-moving organization, working inbound and outbound opportunities across a range of industries and company sizes Exhibits a growth mindset, intellectual curiosity, and ambition * Proof of eligibility to work in the United States is required. The OTE range for candidates within the San Francisco Bay Area is $226,100 - $270,040. Actual OTE pay will depend on a variety of factors such as education, skills, experience, location, etc. The OTE 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). 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.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Growth engineering builds the systems and applications that power every growth channel at Ramp. As an engineer on this team, you’ll own foundational problems ranging from high volume data ingestion and interfaces to customer-facing applications and AI-powered workflows. You’ll partner closely with product, data, and design, and work directly with stakeholders across growth, sales, and finance. This role offers high ownership, broad technical scope, and the opportunity to directly shape Ramp’s growth engine and scale Ramp to its next millions of users. Check out our Engineering Blog https://builders.ramp.com/ to learn more about our tech stack, mission, and values! WHAT YOU’LL DO - Build software that helps grow Ramp to its next millions of users - Build and scale internal platforms and applications (e.g. workflow orchestration, incentives, sales and marketing apps) that power growth across the company - Design and maintain data ingestion and activation pipelines across Ramp products, internal business systems, external systems, and third-party data - Apply AI/LLMs to unstructured data processing, automation, personalization, and growth signal derivation - Drive business outcomes through experiments and metric-driven software development - Make thoughtful prioritization and scoping decisions around when to build custom solutions vs. leverage third-party tools - Work in a fast-moving, collaborative engineering team alongside partners in product, data, and design WHAT YOU NEED - Minimum of 3 years of experience in a software development role - Experience shipping fast, reliable applications using modern development tools and infrastructure - Comfort operating in a fast-paced, constantly evolving startup environment - Ability to improvise and develop creative solutions when standard approaches fall short; strong bias toward pragmatism in the face of uncertainty - Perpetual curiosity and a passion for continuously improving your craft NICE-TO-HAVES - Startup experience as a technical co-founder or early engineer - Experience with the modern data stack (e.g. ETL tools like Fivetran, workflow orchestrators like Airflow, data platforms like Snowflake) - Experience applying AI/LLMs in production environments - Strong perspective on the engineering development lifecycle (system design, documentation, testing, and long-term codebase health) - Experience building user-facing data or internal business applications - Familiarity with tools that power marketing and sales automation, personalization, and analytics BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Workplace: fully About Utorg Founded in 2019, Utorg builds the infrastructure behind stablecoin payments: on/off-ramps, self-custodial wallets, and crypto cards. Over 2 million users across 130+ countries already buy, hold, and spend crypto through our app. On the B2B side, the same rails power 2,100+ platforms, with $2.4B+ moved to date. Fully MiCA-authorized across the EEA. PCI DSS Level 2 certified. Backed by Dragonfly, TA Ventures, and Hypra. We are an international team of young and ambitious professionals united by a passion for innovation and a belief in the decentralized world. And now, we are looking for a Head of Crypto Vertical who will strengthen our team and contribute to the success of our products and the bright future of Web3. Mission: Build and scale the crypto business line (crypto card, non-custodial wallet, trading) into an autonomous, high-growth vertical. Own the P&L and drive revenue, profitability, and sustainable, regulation-aware growth. What you will do: P&L ownership for the crypto vertical: budgeting, forecasting, pricing, margin management. Partnerships & BD: identify, negotiate, and close strategic deals (issuers/processors, liquidity, payroll/HR SaaS, neobanks, exchanges, aggregators, merchants). Market & regulation: track competitors, user behavior, and rules ( KYC/AML/MiCA, card schemes, on/off-ramps ) and turn insights into action. Team: own the hiring plan and build a lean business team from zero (growth/performance, BD/partnerships, ops/support). Set clear responsibilities and KPIs, coach for performance, and make tough calls when someone doesn’t deliver. Cross-functional leadership: align Product, Legal/Compliance, Ops, Data, and Marketing around clear commercial targets and SLAs. Reporting: present plans, numbers, and decisions to founders/execs. First 3–6 months (hands-on): You’ll run ops yourself, set up the initial processes (pipelines, SLAs, weekly KPIs, monthly P&L), and hire the core business team (growth, BD, ops). You’ll launch acquisition channels (target LTV/CAC ≥ 3 in one priority segment) along with the CMO and close the first 2–3 strategic B2B/B2B2C deals . Once ops are stable, you shift even more time to scaling and strategy. Requirements: 5+ years in fintech/crypto/payments/banking with GM / Head of BizDev / Head of Business-type ownership. Proven P&L delivery on revenue, profit, margin, and volume targets. Hands-on launching/scaling crypto payments/wallets/cards/trading (B2C and B2B/B2B2C). Strong command of unit economics (CAC, LTV, ARPU, margin, payback), pricing, and portfolio prioritization. Deep partnerships/BD track record: sourcing, negotiating, contracting, integrating, and making deals perform. Solid grasp of KYC/AML/MiCA , card-scheme, and on/off-ramp constraints; productive work with Legal/Compliance. Strong analytical skills (SQL/BI a plus) and clear executive communication in English. What this role is not: This is not a classic product manager or chief product officer role. What we offer: Established yet dynamic environment : We’re a well-rooted fintech company with several profitable products and structured business units. Historically strong in B2B2C across Europe, we’re now doubling down on building and scaling a consumer-facing crypto vertical Real traction, not just vision : Our non-custodial wallet and crypto card are already live with confirmed product-market fit in multiple segments (with strong revenue and 6-month retention metrics). Crypto IBAN is in development, and trading is at the concept stage. There's still untapped potential in segments we haven’t entered yet. Ownership and autonomy : This role is essentially a mini-CEO position. You’ll have full P&L ownership, a direct line to the founders, and the mandate to build a standalone business unit with a 2+ year strategic horizon. You'll shape product offerings, growth strategy, and go-to-market channels. Hands-on early stage, high leverage long-term : In the first 3–6 months, you’ll build the business team (growth/BD/ops), establish processes (pipeline, SLA, KPI, P&L), and drive predictable growth via performance marketing, brand, sales, and strategic partnerships. From there, it’s all about scale and long-term impact. Resources and support where it matters : You’ll get the budget and resources aligned with your roadmap, autonomy in decision-making, and influence over a broader fintech product portfolio (wallet, card, IBAN, trading) in one of the most promising markets: crypto in the EU.

Location: București, Romania Workplace: hybrid About us: EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people . With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. About the job: We are seeking a dynamic and client-focused Account Manager to join our team, supporting the Platform division. You will be the primary liaison between our clients and internal teams, ensuring seamless service delivery, identifying growth opportunities, and driving customer satisfaction. What you'll get to do: • Build and maintain strong, long-term relationships with key clients. • Act as the main point of contact for client communications and escalations. • Understand client business goals and proactively identify upsell and cross-sell opportunities. • Deliver product training and demos to clients, ensuring they maximize the value of our solutions. • Collaborate with internal teams (Sales, Delivery, Product, Operations) to meet client expectations. • Analyze client data to identify trends, optimize ROI, and recommend improvements. • Coordinate and prioritize client requests for new features or services. • Represent the company at industry events across Europe (occasional travel required). • Stay updated with industry trends, product updates, and best practices. • Help the delivery team collect, verify, and prioritize clients' technical and non-technical requirements for new product features. • Ensure clients clearly understand the product development roadmap and upcoming releases. What You need to know: • 2–3 years of experience in Account Management, preferably in SaaS, payments, or iGaming. • Solid understanding of online business functions: payments, marketing, affiliates, customer service, and content. • Familiarity with player account management, wallet systems, fraud prevention, and responsible gaming tools is a plus. • Strong communication and interpersonal skills in English (written and spoken). • Analytical mindset with the ability to interpret data and provide actionable insights. • Proficiency in CRM tools and Microsoft Office Suite. • Self-motivated, organized, and able to thrive in a fast-paced, collaborative environment. Here's what we offer: · Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us. · Stay Healthy: 3 sick leave days per year, no doctor's note required. · Hybrid work schedule is available after the first three months of employment, with up to 50 days of work from home per year. · Benefit from two Free Fridays each year, limited to one per quarter. · Support for New Parents: - 21 weeks of paid maternity leave, with the flexibility to work from home full-time until your child turns 1 year old. - 4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old. Our office perks include parking, on-site massages, and frequent team-building activities in various locations. And did we mention our amazing office space complete with its own pool and gym? Benefits & Perks: · Daily catered lunch or monthly lunch allowance. · Private Medical Subscription. · Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training. At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference! EveryMatrix is a member of the World Lottery Association (WLA) and the European Lotteries Association. In September 2023, it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Mid-Market Account Executive on Anthropic's Industries team, you'll drive the adoption of safe, frontier AI by securing strategic deals with mid-market companies in key verticals, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise and technical acumen to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. You will be contributing to the GTM strategy for our Industries team, focusing on sector-specific solutions and strategies within key verticals. In addition, the Mid-Market team is pioneering a new scaled sales playbook, where human AEs direct AI Agents to automate key elements of the buyer’s journey, while maintaining human engagement with prospects in the elements of a sales process that can’t be automated. You should be passionate about building a fundamentally new sales motion, by experimenting with new programs and workflows, and ultimately evangelizing the potential of Transformative AI to mid-market companies across verticals. Responsibilities: Contribute to the Mid-Market GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals Own a revenue target and all aspects of the sales cycle from prospecting to close, including finding key workflows to automate and agentify Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations Collaborate extensively with cross-functional partners including Product, Customer Success, Legal, Marketing, and Applied AI to help bring new solutions to market and provide feedback to shape roadmaps Develop sales collateral, proposals, and presentations to effectively position Anthropic's AI products. Continuously refine sales tactics and share best practices You may be a good fit if you have: 3+ years of enterprise B2B sales experience in technology, preferably in SaaS, API solutions, or emerging technologies Experience automating workflows or building automations to handle the repeatable components of a sales process Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Location: This role does require being in office 4x a week in one of our hubs The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $360,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, England 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? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence Identify areas where ML can create value for our customers Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research - Deeply understand the problem area Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? 5-8 years applied ML experience Previous background in a senior/staff role (data science, software development or academic) Significant, demonstrated impact that your work has had on the product and/or the teams Strong programming skills Experience as the primary technical leader for a team Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Bonus skills & attributes Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Visualization, data skills, SQL, matplotlib, etc. 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.

Location: London, England 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? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research Deeply understand the problem area Research and identify the right algorithms and tools Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge 3-5 years applied ML experience Practical stats knowledge (experiment design, dealing with confounding etc) Intermediate programming skills Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Bonus skills & attributes Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Visualization, data skills, SQL, matplotlib, etc. 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.