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Location: New York, NY Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As Via’s Senior Workday Platform Architect , you’ll play a critical role in shaping and scaling the Workday ecosystem that supports our global workforce. You will serve as Via’s senior Workday expert and help us build a reliable, well-governed, and best-in-class People technology foundation. This role is ideal for someone who has managed Workday in a large, complex organization and has worked across multiple Workday modules, business processes, integrations, and stakeholder groups. You’ll bring proven practices from mature Workday environments and apply them thoughtfully at Via—strengthening our platform architecture, improving governance, and helping our teams get more value from Workday. You’ll partner closely with Via’s People, Payroll, Finance, and IT teams. In addition to overseeing day-to-day administration and troubleshooting, you’ll help define the long-term direction of our Workday platform and ensure that new solutions are scalable, secure, maintainable, and designed around a great employee experience. What You’ll Do: Serve as Via’s senior Workday platform expert, with ownership across configuration, security, business processes, reporting, integrations, data quality, and system administration. Help define and implement a scalable Workday architecture and operating model, including governance, documentation, change management, testing standards, and release processes. Evaluate current Workday configurations and processes, identify gaps or technical debt, and recommend improvements based on experience with mature enterprise environments. Lead the design, configuration, testing, and deployment of solutions across multiple Workday modules, such as Core HCM, Compensation, Recruiting, Benefits, Absence, Time Tracking, Performance, Talent, and Payroll. Ensure that Workday business processes are efficient, consistent, compliant, and able to support Via’s continued growth and organizational complexity. Design, build, and maintain Workday reports, dashboards, calculated fields, and analytics that enable reliable, data-driven decision-making. Oversee Workday integrations with payroll, benefits, identity management, finance, recruiting, and other enterprise systems, partnering with internal teams and external vendors to ensure accuracy, reliability, and security. Establish strong security and access-management practices, including role-based access, segregation of duties, periodic reviews, and audit readiness. Lead Workday release planning by evaluating new functionality, assessing business impact, coordinating testing, documenting changes, and communicating recommendations to stakeholders. Maintain data integrity through proactive monitoring, recurring audits, reconciliation processes, and root-cause analysis of system or integration issues. Provide clear guidance and hands-on support to People team members, managers, employees, and business leaders. Create and maintain documentation for configurations, business processes, integrations, reports, controls, and user procedures. Build strong relationships with Workday, implementation partners, and other vendors while ensuring that Via retains clear internal ownership of its platform. Stay current on Workday capabilities, product releases, and industry practices, and help Via determine which improvements will deliver meaningful business value. Who You Are: You have at least 7 years of hands-on Workday experience, including significant responsibility for administering or designing Workday within a large, complex, or global organization. You have deep experience with Core HCM and meaningful hands-on exposure across several additional Workday modules, such as Compensation, Recruiting, Benefits, Absence, Time Tracking, Performance, Talent, or Payroll. You understand how decisions in one Workday module can affect business processes, security, reporting, integrations, and downstream systems across the broader platform. You have experience improving an established Workday environment—not only maintaining it—and can bring practical examples of governance, architecture, process, or configuration improvements you have led. You have strong knowledge of Workday security, business-process configuration, reporting, calculated fields, data management, and integration concepts. You understand HR operations, payroll processes, compliance requirements, and the controls needed to support accurate and sensitive employee data. You can balance immediate business needs with long-term platform health, avoiding unnecessary customization and designing solutions that remain scalable and maintainable. You are comfortable advising senior stakeholders, challenging assumptions constructively, and translating complex technical topics into clear recommendations. You are highly detail-oriented, organized, and process-driven, with strong judgment and a clear sense of ownership. You thrive in a fast-paced environment, can manage competing priorities, and remain thoughtful and methodical when addressing complex issues. What Will Set You Apart: Experience supporting Workday across multiple countries, legal entities, employee populations, or business units. Experience helping an organization mature its Workday governance, architecture, documentation, security, or release-management practices. Advanced Workday reporting and analytics experience. Experience with Workday integration technologies such as EIB, Core Connectors, Workday Studio, APIs, or Workday Extend. Workday certifications across multiple functional or technical areas. Experience with major Workday implementations, module expansions, acquisitions, reorganizations, or large-scale transformation initiatives. Compensation and Benefits: Final salary will be determined based on the candidate’s experience, knowledge, and skills. The salary range does not include equity or variable compensation, where applicable. Salary range: $140,000–$160,000. Comprehensive health coverage, with low-cost dental and vision plans A 401(k) with a generous company match and vesting Fully paid parental leave for new parents, with extended leave options Additional benefits (mental health, pet insurance, and other wellness perks) 20 days of paid time off (PTO) annually Via was founded on the guiding principle that we go further when we go together. We are dedicated to building a diverse, inclusive, and authentic workplace. If you’re excited about this role but your experience does not align perfectly with every qualification in this description, we encourage you to apply. You may be the right candidate for this or another role. All backgrounds, identities, and voices are welcomed and celebrated at Via. Ready to join the ride? Via is an equal opportunity employer.

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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Yerevan, Armenia SENIOR ECOMMERCE GROWTH STRATEGIST Our Mission is to be able to say - “Anyone in the World below $15M should fire their Agency tomorrow as nobody can beat this Value & Service at this Price” We’re seeking a Results-Driven & Experienced Senior Ecommerce Growth Strategist to join our team. The Senior Ecommerce Growth Strategist at Common Thread Collective (CTC) plays a critical role in driving client success. You will lead the development of accurate strategic forecasts that guide our clients toward their goals, ensuring seamless execution of strategies that translate forecasts into measurable growth. Your actions and decisions consistently resonate with the core values of CTC Global, serving as a beacon for these principles. At CTC, your trained expertise is invaluable, covering the entire spectrum of CTC’s Strategic Forecasting methods and the foundational principles of media acquisition. Beyond strategic planning, you are an active partner in client growth, maintaining transparent communication about the actions taken and performance relative to forecasts. This engagement strengthens relationships and ensures that CTC’s clients have a clear roadmap to success while guiding them through the complexities of media acquisition and strategy. You stand as a representative and zealous advocate for CTC's unique approach to media acquisition and its accompanying tools. As a Senior Ecommerce Growth Strategist, you set a high standard. People know that when you are involved, execution at the highest level is guaranteed. You see your goals as barriers to break through and take great pride in giving your all. We value the mantra of “Everyday in Everyplay, Count on Me” meaning that you can see things through to the end! WHAT WE LOOK FOR This place isn’t for everyone, but it might be for you if… Our core values are the heart and soul of this incredible Company. The right person for this role will appreciate each of these values, personally subscribe to them, and understand why each is critical to having a great business. To give ourselves our best shot at accomplishing Our mission, we organize all of our decisions — from recruiting, to hiring, to raises, to promotions, to how we spend our time and money — in the direction of three committed values. We recognize these values aren't for everyone. They're challenging. In fact, they're so challenging, that's why we invest so much in supporting our team and why we tend to attract people who are craving the opportunity to do more at work than get a paycheck. We're looking for those who are interested in making their work significant. AUTODIDACT Naturally curious and an autodidact, able to absorb information quickly and effectively, like osmosis. Your commitment to learning sets you apart, absorbing information swiftly and more effectively than your peers . Your openness to both offer and embrace feedback as an opportunity for growth and implement it proactively, without needing constant direction. Demonstrates resourcefulness, and independently refine your skills without being prompted. Thrives in a self-managed environment, showing autonomy, initiative, and a commitment to continuous improvement and not requiring task lists built by their managers and constant oversight. UNIMPEACHABLE CHARACTER Embodies a character that inspires pride in both personal and professional associations. Consistently honest, with the courage to acknowledge and communicate hard truths, and the humility to accept them, even when uncomfortable, and never lie in any situation. Displays a high level of self-awareness, taking full ownership of outcomes without resorting to a victim mindset. Values constructive feedback and integrates it, understanding nothing great is built without feedback. COMPETITIVE GREATNESS Performs at their best when it matters most, The Enjoyment of Hard Challenges. Demonstrates an unyielding determination to get things done, regardless of obstacles, time constraints, skills needed, or resources. Adapts to changing circumstances, recognizing that true success is about not just meeting, but exceeding what is required. Possesses a deep passion for their work, using creativity and resilience to overcome any hurdle. What Success Looks Like NECESSARY SKILLS KICK OFF PERIOD Be willing to put in the hard work required and be hungry enough to go through the kick off. Being ready and prepared for this to be the hardest job you have ever worked, as you would fundamentally develop a high-leverage new skill. The ability to take feedback and implement it fast. Finish the work to the fullest with quality and on time. Perseverance. Remember and learn from the repetitive doing of the exercises. ONBOARDING Align with the team and contribute to the team called Brain Trust for Ideas across clients. Manage, align & work with the team members of your pod including Google strategist, Creative Strategist, and Email Strategist. Ability to organize, prioritize, and manage multiple tasks with great attention to detail. Upkeep of data integrity of your clients across Statlas. Be responsible for the execution of the Prophet system for your clients Building a Growth Forecast for your clients Building a Growth map using the Prophet System Data Analysis required for the Map Marketing calendar alignment and upkeep with clients The Daily Execution and Actualisation vs the Forecast. You make tactical deconstructions and actualize the projections each day to adjust them to meet KPIs Combine data analysis and feedback from clients to develop strategic plans for the future. When it’s time to pivot you are among the first early adopters Take a lead in situations that present any obstacle to execution. An insatiable curiosity, and an inability to leave a problem alone until you’ve found one or many different potential solutions. Responsible for the implementation of CTC’s Meta best practices Build campaigns using our structure and best practices Upkeep and management of our ideologies and processes throughout the account. Monitoring active campaigns, and adjusting budgets and strategy to ensure the best possible chance of hitting the Daily Projected Targets Implementing tests in your accounts in an effort to beat your best-performing campaigns. ENSURING AND HOLDING THE STANDARD OF QUALITY OF WORK Ensuring you are within a 5% Delta to the Forecast Ensuring daily alignment with the client vs the forecast & strategy Ensuring above benchmark client satisfaction rate feedback Ensuring following the Prophet system execution to 100% within the timeline required. Ensuring all the work is delivered based on the timeline assigned with optimal quality & attention to detail. Client Communication You are a champion of communication, ensuring the client is aligned on the Growth Map goals and next steps, while making sure everybody on your team has clarity on what is required with exact deadlines. Responsible for sending daily performance updates to the client Ensure alignment across Strategy and Forecast with the client for every day of the week. Providing weekly updates on the Weekly Strategy Call. CONTRIBUTING BACK Contributing your learnings back to the system for feedback and continuous improvement Contributing & collaborating in ideas and learning across teams Contributing to ideas and learning in future company content production. NEXT-LEVEL SKILLS Communication Skills Fluent in English, with a proven ability to communicate persuasively and present ideas clearly to various stakeholders. Skilled in crafting thoughtful, empathetic client messaging that resonates, demonstrating a high level of emotional intelligence. Strong presentation skills, capable of delivering compelling presentations that drive engagement and decision-making. Great Data Analysis skills Strong raw talent for data analysis, with an eagerness to learn and improve. Familiarity with data tools, including Google Sheets, with the flexibility to develop advanced skills through on-the-job experience. Past Experience Historical expertise that compounds to bring a well-rounded perspective and adds value to the role. A breadth of experience from any of the multiple domains, including mathematics, data analytics, business operations, retail, finance, media buying, etc Critical Thinking Ability to approach challenges with structured thinking, utilizing logical frameworks to effectively solve complex problems. Naturally adept at dissecting issues and proposing practical, impactful solutions. Impact Passionate about e-commerce and eager to contribute to a high-performing team at the forefront of the industry. Highly motivated and hardworking, with a strong desire to learn, grow, and make a meaningful impact. Thrives in environments where they can see the direct results of their actions on the business, with a strong preference for roles that offer full accountability and autonomy. Results You will merge the Finance and Marketing sides of a business to build a forecasted strategy to help the business achieve its goal. Achieve certification and confidence in our ideology by the end of training, enabling precise execution of the Prophet system to ensure top-quality results for clients. Consistently deliver high-accuracy performance within a 5% delta across the Prophet system’s Growth Map and Statlas. Lead and collaborate with your team to optimize productivity and maintain high-performance standards. Apply best practices in media buying to drive outstanding results, ensuring no one could achieve better outcomes in your role. Maintain client satisfaction levels above benchmark rates, aligning daily on forecasts to exceed client expectations. Adhere to rigorous quality standards in client feedback, forecasting, media buying decisions, and system execution. Meet all deadlines and budget requirements, ensuring timely and on Target Performance. Contribute valuable ideas to team discussions and company-wide content, supporting growth and innovation. DOMAIN MANAGEMENT Your supervisor would be Joy Sharma, The Director of the CTC Accelerator Program. You’ll report directly to Joy Sharma —a leader known for his relentless pursuit of excellence and an unmatched passion for growth strategy. Joy is a rare mentor, often described as the closest you’ll come to learning directly from Taylor Holiday himself. With a career built on his own rigorous, self-driven learning, Joy has transformed numerous team members into top-tier strategists, instilling in them the values of dedication, precision, and continuous improvement. Working under Joy's guidance will push you to your limits in the best possible way. He models the value of hard work, and learning from him feels like “drinking from a firehose”—you’ll absorb knowledge quickly and consistently, experiencing tremendous growth. Joy is committed to personally ensuring you reach your full potential as a Senior Ecommerce Growth Strategist, supporting your journey every step of the way. ORIENTATION This role will be client-facing. WHAT’S IN IT FOR ME? SALARY RANGE First month: $2,000 Second month: $4,000 Third month (on average): $7,000 a month 1st Year Annual Range: $64,000-$76,000 2nd Year Annual Range: $100,000-$120,000 This will depend on the amount of clients and the quality of work. Growth, Transparency, and Fairness in Career Development Progress is Clearly Defined Depends primarily on your experience with the system & quality of execution against it. Following a well-defined path for the first 12 months and how exactly you can grow to be promoted to the next level. Fairness and transparency are prioritized Access a weekly performance dashboard to see exactly where you stand compared to team members on both objective and subjective metrics. Pay transparency is upheld for all team members With consistent contract terms and a clear roadmap for increasing earnings, ensuring everyone understands the path to greater compensation. We will also talk monthly about how you can progress. My Commitment to You: You will work harder, learn more than ever before, and “make more than you ever have.” You will gain a diverse skill set while actively contributing to the continuous development of new tools and improvements within our system. In doing so you will have an incredible opportunity for rapid career progression. We will continue to provide you mentorship through every step of your development in the role and promotion from it. We will then continue to provide feedback against the expectation and evaluate against it. Location & Environment Fully remote with the ability to pick your schedule. Embrace autonomy as a core value, with clear expectations, regular 1:1 feedback sessions, and measurable quality benchmarks to support personal growth. Exceptional work is recognized and rewarded, with weekly check-ins for accountability, ensuring you’re consistently challenged and engaged with new opportunities daily.

Location: Argentina Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. This is a Future Opening. Webflow does not currently have an immediate opening or confirmed start date for this role. We are using this posting to connect with prospective candidates for anticipated hiring needs. If a matching role opens, our Talent team may contact qualified candidates about next steps ABOUT THE ROLE: - Location: Remote-first (Argentina) - Permanent, full-time employee (this is not a contractor position) - Application Information: - This posting is for a future position As a Senior Software Engineer, Fullstack, you’ll …  - Design, and implement scalable multi-tenant backend services and APIs. - Work with technologies such as Node.js, Javascript/Typescript, MongoDB, GraphQL, Apollo, Amazon Web Services EC2, S3, Lambdas, Kafka, and more. - Demonstrable experience and expertise in multiple technical domains. - Contribute to building and executing on functional strategy. - Lead projects that directly contribute to team and engineering organization's deliverables. - Produce maintainable, tested, performant, and scalable code. - Author, collaborate on, and evaluate design documents. - Influence technical designs and team-level prioritization as well as participate in technical solutions. - Collaborate with product managers and designers in an autonomous, supportive team environment. - Mentor junior engineers in technical skills and Webflow culture. - Participate in engineering citizenship activities such as co-authoring engineering blogs, strengthening and improving our hiring processes, and leading internal hackathon teams. In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role. ABOUT YOU: Requirements: - Business-level fluency to read, write and speak in English You’ll thrive as a Senior Software Engineer, Fullstack if you: - Have 5+ years developing and deploying web applications, with a proven track record of shipping code. - Are familiar with Node.js and TypeScript and can write scalable services and APIs using Express.js, GraphQL, Apollo, and MongoDB. - Can debug production issues across services and multiple levels of the stack. - Have proven experience building complex web systems. - Have used testing frameworks (e.g. Jest, Mocha, Playwright, Cypress).  - Are comfortable working in an agile, safe-to-fail, environment. - Stay curious and open to growth-Demonstrate a proactive embrace of AI, actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Stipends to support our distributed team. Localized support for cell, Wi-Fi, and WFH expenses to help you settle into your best remote life. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: São Paulo, Brazil Are you interested in building an exciting IT career at Dev.Pro? Join our exclusive screening process to gain valuable career insights and access personalized feedback on your skill set. 🟩 What you’ll get by applying: Personalized career growth plan tailored to your aspirations Expert feedback to elevate your skills for lasting success Priority consideration by Dev.Pro for suitable job openings within the company Opportunity to work with top global corporations and participate in industry-shaping projects Give us a chance to get to know you better so that when the right position becomes available, you’ll be the first one we reach out to! ✅ Is that you? 4+ years’ experience as a software developer with .NET and Vue.js Experience developing in a cloud environment (Azure, GCP, AWS) Microservices/REST API skills Database experience Excellent communication, organizational, and leadership skills Upper-Intermediate+ English level Get started now: 1. Send us your CV in English. 2. Schedule a 15-30 minute call with Dev.Pro recruiters. 3. Participate in a 30-minute experience interview focused on testing your soft skills. 4. Get a 1-hour online evaluation of your technical skills by our technical experts. In under 2 hours, you'll know where you stand in your career and be ready for action when Dev.Pro presents you with an exciting job offer! 🎾 What's working at Dev.Pro like? Dev.Pro is a US-based outsource company with an ambitious and creative mindset that has been delivering superior software products since 2011. Known for its strong human focus, Dev.Pro promotes a work environment that is fair, inclusive, open-minded, and friendly toward people of every race, religion, gender, cultural background, marital/parental status, etc. By joining Dev.Pro, you'll feel what it's like to grow with professionals who support your journey. Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Belgium; France; Italy; Netherlands At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car , a Woolly Mammoth’s Skeleton , Lady Gaga's Jumpsuit or Usain Bolt’s running shoe , we encounter exceptional objects every day. We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts. Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us. Taking ownership and driving impact Being open to change and feedback Being passionate about our mission and our customers. Your Mission As an Expert for Tintin, Dutch and Traditional Comics, you will manage and curate high-quality auctions for the Netherlands and Belgium region. Your mission is to use your market knowledge and network to create compelling auctions that attract bidders and ensure a fair and transparent experience for sellers and buyers. By combining commercial insight with subject matter expertise, you will strengthen the quality, relevance, and performance of your auctions. What You’ll Do Evaluate and arrange comic book lots submitted by users, ensuring quality and relevance Create attractive and engaging lot listings on a weekly basis Review lot titles, descriptions, and images, and provide accurate value estimates Maintain fairness and transparency by accepting or rejecting submissions in a professional manner Curate auctions that attract bidders and drive strong performance Collaborate with the Sales team to attract new sellers and diversify the auction selection Partner with the Marketing team to increase bidder attention and engagement What You’ll Bring Passion and expertise in Comics, with strong knowledge of the industry Excellent commercial skills, including proven negotiation and relationship-building experience Strong network within the Comics industry Ability to work autonomously and make quick decisions in a fast-paced environment Strong communication and interpersonal skills, with the ability to engage stakeholders at all levels Good computer skills Good command of Dutch and English, preferably French Where You’ll Be This is a remote role that can be based from The Netherlands or Belgium. Why You'll Love Working with Us Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business. Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression. A culture of connection defines us . We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work. Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion ” . We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location. Our Offices and Way of Working Our vibrant offices in Amsterdam and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based. Interested? Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles. We may use artificial intelligence (AI) tools to support the review of your application. AI may help us assess how your experience matches the requirements of the role, but hiring decisions are always made by our recruitment team

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.

Location: Philippines Are you interested in building an exciting IT career at Dev.Pro? Join our exclusive screening process to gain valuable career insights and access personalized feedback on your skill set. As a company of professionals, Dev.Pro offers challenging and interesting projects with world-leading clients, a modern technology stack, and career opportunities for both technical and non-technical specialists. 🟩 What you’ll get by applying: Personalized career growth plan tailored to your aspiration Expert feedback to elevate your skills for lasting success Priority consideration by Dev.Pro for suitable job openings within the company Opportunity to work with top global corporations and participate in industry-shaping projects Give us a chance to get to know you better so that when the right position becomes available, you’ll be the first one we reach out to! ✅ Is that you? 5+ years of experience developing software with C# and .NET Experience building backend services and REST APIs Experience with .NET Core / .NET 6+ or newer Strong experience with relational databases (SQL Server, PostgreSQL, MySQL, etc.) Experience working with cloud platforms (Azure, AWS, or GCP) Experience designing or developing microservices or distributed systems in production Understanding of application architecture and design patterns Strong understanding of object-oriented programming (OOP) principles Nice to Have Experience with message queues or event-driven systems (Kafka, RabbitMQ, Service Bus, etc.) Experience with Docker or containerized environments Experience with CI/CD pipelines Get started now: 1. Send us your CV in English. 2. Schedule a 15-30 minute call with Dev.Pro recruiters. 3. Participate in a 30-minute experience interview focused on testing your soft skills. 4. Get a 1-hour online evaluation of your technical skills by our technical experts. In under 2 hours, you'll know where you stand in your career and be ready for action when Dev.Pro presents you with an exciting job offer! 🎾 About Dev.Pro Dev.Pro is a US-based outsource company with an ambitious and creative mindset that has been delivering superior software products since 2011. Known for its strong human focus, Dev.Pro promotes a work environment that is fair, inclusive, open-minded, and friendly toward people of every race, religion, gender, cultural background, marital/parental status, etc. By joining Dev.Pro, you'll feel what it's like to grow with professionals who support your journey. Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Sunnyvale, CA; Menlo Park, CA Workplace: onsite OVERVIEW Welo Data is looking for a skilled Data Analyst to join our team and contribute to advancing AI technologies. This role offers a unique opportunity to engage directly with cutting-edge AI products, supporting the refinement and performance of machine learning models through precise data analysis and quality assurance. Project Details Job Title: Data Analyst Location: Bay Area, CA (Onsite) Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time). This role is an incredible chance to be at the forefront of AI technology, helping shape the future by testing new products, updating machine learning models, and ensuring high-quality data for impactful AI solutions. Key Responsibilities Test new AI products and provide actionable feedback to improve functionality and user experience. Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines. Collaborate in updating and refining machine learning models to boost accuracy and effectiveness. Analyze data for consistency, relevancy, and alignment with project goals. Perform quality control to identify and report anomalies, error patterns, and discrepancies. Use basic data analysis methods to extract insights and support continuous improvement. Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback. Preferred Qualifications University degree in linguistics, translation, or a related field. 3-5 years of professional linguistics experience. Strong analytical skills with the ability to detect patterns and anomalies. Excellent communication skills and the ability to work collaboratively in a fast-paced environment. Adaptability to evolving priorities and project requirements. Benefits Paid Sick Time & Paid Holiday (combined): 15 days Paid Holidays: Memorial Day and Labor Day Medical Insurance (subject to eligibility requirements) Dental Insurance Vision Insurance Health Savings Account (HSA) Voluntary Life Insurance Accident, Critical Illness, and Hospital Indemnity Insurance Telemedicine Benefit 401(k) Retirement Plan Employee Assistance Program Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Location: Seattle, WA Workplace: onsite OVERVIEW Welo Data is looking for a skilled Data Analyst to join our team and contribute to advancing AI technologies. This role offers a unique opportunity to engage directly with cutting-edge AI products, supporting the refinement and performance of machine learning models through precise data analysis and quality assurance. Project Details Job Title: Data Analyst Location: Seattle (On-site) Hours: Full-time, 40 hours per week Start Date: November 2025 Employment Type: W2 Full-Time Employee Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time). This role is an incredible chance to be at the forefront of AI technology, helping shape the future by testing new products, updating machine learning models, and ensuring high-quality data for impactful AI solutions. Key Responsibilities Test new AI products and provide actionable feedback to improve functionality and user experience. Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines. Collaborate in updating and refining machine learning models to boost accuracy and effectiveness. Analyze data for consistency, relevancy, and alignment with project goals. Perform quality control to identify and report anomalies, error patterns, and discrepancies. Use basic data analysis methods to extract insights and support continuous improvement. Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback. Preferred Qualifications University degree in linguistics, translation, or a related field. 3-5 years of professional linguistics experience. Strong analytical skills with the ability to detect patterns and anomalies. Excellent communication skills and the ability to work collaboratively in a fast-paced environment. Adaptability to evolving priorities and project requirements. Benefits Paid Sick Time & Paid Holiday (combined): 15 days Paid Holidays: Memorial Day and Labor Day Medical Insurance (subject to eligibility requirements) Dental Insurance Vision Insurance Health Savings Account (HSA) Voluntary Life Insurance Accident, Critical Illness, and Hospital Indemnity Insurance Telemedicine Benefit 401(k) Retirement Plan Employee Assistance Program Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Location: Remote: United States; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE The Render Security team is a small, dedicated team of engineers that runs all things security at Render. - Full-Stack Security Ownership - We don't just monitor; we build. From custom security tooling to comprehensive threat assessment, we own the entire security lifecycle at Render. - Engineering-First Approach - We are a team of engineers that understand security deeply, we create solutions that integrate seamlessly with development workflows rather than creating friction. - Proactive - We stay ahead of threats through continuous assessment, automated monitoring, and rapid response. By joining Render at an early stage, you will be directly involved with building out foundational security for Render and make decisions that will shape our product and company, directly impacting developers around the globe. YOU WILL: - Build internal tooling to enable secure access to resources (e.g., wrappers, utilities, authentication services, and proxies). - Implement detection and monitoring systems that alert the team to high signal vulnerabilities - Analyze and assess security issues identified through threat modeling, penetration testing, security scans and vulnerability disclosure. - Work with developers on sensitive code paths and educate them on secure design patterns. - Liaise with customers regarding their security and compliance needs, and in return, inform our security program. - Communicate security risks and solutions to technical and non-technical stakeholders as part of company-wide planning and prioritization processes. - Stay up-to-date with the latest security threats, vulnerabilities, and best practices and make recommendations for improvements to our security posture. - Partner with product engineering teams to inform and build thoughtful security features for our customers. - Continually ensure that our systems have appropriate authentication, authorization, and accounting with low internal overhead. WE'RE LOOKING FOR: - 6+ years of professional experience in software engineering or security. - Experience designing and building secure web applications, tools, and APIs. - Experience with vulnerability review and analysis - Strong incident leadership and diligent response. - Empathy toward the rest of the team and our customers - Strong sense of ownership and ability to make pragmatic decisions about your work. NICE-TO-HAVES: - Detection engineering experience through implementation and maintenance of a SIEM. - Experience with any of the technologies the Render product runs on: Go, Typescript, Kubernetes, Postgres, Terraform, Temporal. - Experience with compliance frameworks such as SOC 2, ISO 27001, HIPAA or PCI. - Proven expertise in exploiting common security vulnerabilities, demonstrating practical experience in identifying and leveraging vulnerabilities to assess security posture. - Experience securing applications and systems through threat modelling and risk assessments. - Active participation and contributions to the security community through public research, blogging, presentations, and other means. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Worldwide We are looking for a 2LoD Credit Risk Lead . The Integrated Risk Management team is managing risk profile of the company. Identifying financial risks and management advisory on their mitigation. Providing service of developing forecasting and risk models for the Company's financial portfolio and implementation in the Company's processes. Challenges that await you : Take ownership of credit risk management as a key domain, oversee the management of credit, liquidity, FX, and strategic (business plan) risks, acting as the 2nd line of defense in the organization’s risk management structure Accurately calculate the unit economics of credit products, with a deep understanding of credit risk drivers, to deliver essential insights for strategic decision-making Develop, implement, and automate a comprehensive risk management framework, integrating it effectively into organizational documents and processes Analyze the methodology of Mexican (CNBV, Banxico) and global (Basel, IFRS) frameworks to apply best practices to PLATA’s processes Evaluate internal and external data to identify potential threats to the PLATA loan portfolio, construct econometric models to predict portfolio dynamics, and detect unusual behavior Create effective data visualizations and presentations to communicate findings and drive necessary actions among managers What makes you a great fit : A minimum of 3 years’ experience in risk and data analysis, preferably within credit organizations or consulting; experience in integrated risk management is a plus Bachelor’s degree in STEM, finance, or economics; a Master’s degree is highly advantageous Exceptional analytical and quantitative abilities, with expertise in statistical analysis, data modeling, and extracting insights from complex data sets Proficiency in SQL and Python (/R) is essential, complemented by knowledge of Tableau (/Apache Superset) and Excel A self-starter with the capability to work both independently and as part of a collaborative team in a fast-paced, evolving environment Outstanding presentation and communication skills, adept at conveying intricate data concepts to non-technical audiences B1 or higher English level for effective communication with an international team Our ways of working : Innovative Spirit : a commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits : Relocation support to one of our hubs — Mexico, Cyprus, Spain — with assistance for the employee and their family Flexible work from one of our offices or remote Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

Location: San Francisco; Palo Alto; New York City Perplexity is looking for an Applied AI Engineer to design, build, and iterate on cutting-edge agents powering our core experience in Perplexity Computer. Working in this mission critical team, you will develop frontier context layer applications - fulfilling the curiosity of millions of users across the globe. Key Responsibilities - Apply state-of-the-art ML and LLM techniques to solve problems spanning: - Personalization (LLM memory, context summarization, retrieval and ranking); - Contextual recommendations and Monetization applications - Build frontier agent capabilities on top of Perplexity Computer - Build auto research harness for both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact. - Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement and build autonomous harness for agent squad to explore different problem spaces. - Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements. - Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle. Preferred Qualifications - 5+ years experience building and shipping robust AI products for large-scale, user-facing or data-driven products. - Strong software engineering skills (Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large scale parallel developments. - In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring/improvement. - Proven collaborator and communicator; excels in high-velocity, cross-functional teams. - Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI. - BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience). Bonus Points For - Experience with LLM context engineering or harness engineering. - Experience in mid-training or post-training frontier open source models - Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).

Location: San Francisco; Palo Alto; New York City Perplexity is looking for an Applied AI Engineer to design, build, and iterate on cutting-edge agents powering our core experience in Perplexity Computer. Working in this mission critical team, you will develop frontier context layer applications - fulfilling the curiosity of millions of users across the globe. Key Responsibilities - Apply state-of-the-art ML and LLM techniques to solve problems spanning: - Personalization (LLM memory, context summarization, retrieval and ranking); - Contextual recommendations and Monetization applications - Build frontier agent capabilities on top of Perplexity Computer - Build auto research harness for both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact. - Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement and build autonomous harness for agent squad to explore different problem spaces. - Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements. - Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle. Preferred Qualifications - 5+ years experience building and shipping robust AI products for large-scale, user-facing or data-driven products. - Strong software engineering skills (Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large scale parallel developments. - In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring/improvement. - Proven collaborator and communicator; excels in high-velocity, cross-functional teams. - Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI. - BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience). Bonus Points For - Experience with LLM context engineering or harness engineering. - Experience in mid-training or post-training frontier open source models - Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).

Location: New York Office Workplace: Hybrid About the Role Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for an Senior Account Executive. As a Senior Account Executive, you are core to our mission of building and expanding Taktile’s enterprise customer base, ensuring our innovative solutions empower large organizations to optimize their decision-making processes. You will play a critical role in driving growth by creating a robust pipeline of enterprise accounts and guiding them through complex sales cycles with expertise and care. As a trusted partner and credible brand ambassador, you will represent Taktile in the enterprise market, building strong relationships with senior-level stakeholders across multiple departments. About You - You’ve met or exceeded your sales targets for 5+ years at $300K+ ACVs. - You have extensive experience managing complex deal cycles of 6+ months. - You know how to build deep, strategic relationships with senior customer stakeholders, including C-suite executives. - You’re curious and customer-centric, with a talent for understanding enterprise customers’ challenges and delivering solutions tailored to their needs. - You’re humble and have a growth mindset, eager to continuously learn, implement new methodologies, and bring best practices into the business. - You’re collaborative and thrive in cross-functional environments, working closely with Marketing, BDR, and Customer Success teams. - You’re strategic and creative—always finding innovative ways to engage prospects and enhance the enterprise buying experience. - You have exceptional communication skills, with an ability to craft compelling messages that resonate with enterprise stakeholders. - You have a proven track record selling SaaS/software subscriptions to Financial Services and/or enterprise-scale businesses. - You are highly skilled in prospecting and navigating complex organizations to identify and engage decision-makers. What You'll Do - Sell Taktile’s innovative decisioning software solution to large enterprise customers in Financial Services to meet or exceed your revenue targets. - Develop a deep understanding of our enterprise target markets, ideal customer profiles, and competitive landscape. - Manage a pipeline of complex, multi-stakeholder sales opportunities from lead to close, focusing on long-term value. - Drive outbound prospecting efforts to engage and qualify enterprise accounts. - Qualify and nurture opportunities generated by BDRs and Marketing. - Lead discovery sessions, product demos, and executive presentations to showcase Taktile’s value proposition. - Provide a seamless and outstanding buying experience for our enterprise customers. - Collaborate with the Customer Success team to ensure smooth handovers and long-term customer success. - Upsell and cross-sell within enterprise accounts to maximize value for customers and drive revenue growth. - Leverage proven enterprise sales methodologies such as MEDDICC and Challenger. - Use CRM and sales tools such as HubSpot, Salesforce, LinkedIn Sales Navigator, etc., to manage and track progress. - Provide market feedback to Product, Marketing, and Leadership to influence the roadmap and go-to-market strategies. Ideal, But Not Required - Experience working in an early-stage start-up (Seed - Series B). - Deep knowledge of the FinTech, data, or ML/AI landscape. Our Offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself  at home here - Make an impact and meaningfully shape an early-stage company - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Use the equipment of your choice including meaningful home office set-up Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com