Вакансии

Location: Dammam, Saudi Arabia Eram Talent is seeking a detail-oriented and analytical Financial Analyst to join our team in Saudi Arabia. The successful candidate will play a vital role in analyzing financial information, preparing reports, and supporting business decisions to drive the company's financial performance and growth. This position requires strong analytical skills, attention to detail, and the ability to work collaboratively across departments. Key Responsibilities Provide financial and commercial analysis to support senior management decision-making. Review and analyze affiliate board materials and prepare management briefings. Conduct financial analysis, due diligence, and investment evaluations. Review impairment assessments and acquisition-related financial analyses. Support financial reporting and IFRS compliance requirements. Coordinate with internal stakeholders and subject matter experts on affiliate-related matters. Ensure compliance with corporate governance policies and frameworks. Prepare reports, presentations, and recommendations for senior management. Mentor and support junior team members as required. Requirements Bachelor's Degree in Accounting or Finance. Professional certification such as CPA, CA, or CFA. Minimum 10–15 years of relevant experience in finance, accounting, financial analysis, consulting, or corporate advisory roles. Strong knowledge of International Financial Reporting Standards (IFRS). Experience in financial analysis, financial reporting, and corporate governance. Excellent verbal and written communication skills in English. Proven ability to prepare and present reports to senior management. Strong stakeholder management and influencing skills. Ability to manage multiple priorities and work independently. Experience working in a multicultural environment. Preferred Industry Experience Oil & Gas Petrochemicals / Chemicals Industrial Sector Power Generation Preferred Qualifications MBA or other advanced business degree. Big 4 accounting or consulting firm experience.

Location: Dammam, Saudi Arabia Eram Talent is seeking an experienced CRM & Automation Senior Specialist to join our team in Saudi Arabia. In this role, you will be responsible for managing and enhancing customer relationship management (CRM) systems and implementing automation solutions that drive operational efficiency and improve customer engagement. The CRM & Automation Senior Specialist is responsible for managing and optimizing the organization's CRM ecosystem, customer database, and marketing automation capabilities to drive effective lead management, customer engagement, conversion optimization, and business performance. The role plays a critical part in designing and enhancing lead management processes, developing automated customer journeys, and providing actionable insights through analytics and reporting. Key Responsibilities Manage and optimize CRM platforms to improve user experience and data accuracy Develop and implement automation strategies to streamline business processes Collaborate with stakeholders to gather requirements and translate them into technical solutions Monitor system performance and troubleshoot issues promptly Train users and provide ongoing support for CRM and automation tools Stay updated with the latest trends and technologies in CRM and business automation Requirements Bachelor’s degree in Marketing, Business Administration, Information Systems, Data Analytics, or a related field. 6–8 years of experience in CRM management, marketing automation, customer lifecycle management, or related disciplines. Proven experience working with CRM platforms and marketing automation tools. Experience in lead management, customer segmentation, campaign automation, and performance analytics. Strong understanding of customer acquisition funnels, conversion optimization, and digital customer engagement.

About Mistral: At Mistral AI, we develop AI technology to simplify tasks, enhance learning and creativity, integrating seamlessly into daily work life. We offer high-performance, optimized, open-source AI models and solutions for enterprise needs on-premises or in cloud. Our AI assistant product is le Chat. Our teams are distributed across France, USA, UK, Germany, and Singapore. Role Summary: Seeking an experienced product manager to define and execute strategy for Forge, a product enabling customers to build, fine-tune, and deploy custom AI models at scale. Forge powers model fine-tuning, reinforcement learning, and post-training workflows, translating research into enterprise-ready solutions. Responsibilities: — Define and evangelize product strategy for Forge aligned with company goals and market opportunities — Lead market and UX research to identify unmet needs and trends in AI post-training capabilities — Own product lifecycle from ideation to launch and iteration, balancing speed, quality, and user experience — Collaborate with design and research to create intuitive, impactful user experiences using data and feedback — Work with marketing and sales on go-to-market strategies including pricing, positioning, and adoption — Align engineering, design, and business teams on priorities, trade-offs, and timelines — Maintain a dynamic roadmap delivering quick wins and long-term goals Requirements: — 5+ years product management experience in fast-paced, ambiguous environments with AI/ML or infrastructure solutions — Strong understanding of AI training pipelines, reinforcement learning loops, and model deployment architectures — Expertise in AI model lifecycle management including fine-tuning, evaluation, and serving — Experience with Infrastructure as Code, containerization, scalable deployment (on-prem, VPC, cloud) — Familiarity with Kubernetes/Slurm is a strong plus — User-focused with data-driven problem solving — Proven cross-functional influence without direct authority — Strong communication skills to explain complex technical concepts clearly — Adaptability to dynamic priorities — Collaborative, low ego, high emotional intelligence — Self-directed with ownership of outcomes Preferred: — Strong knowledge of model training and architectures — Proficient coding skills recommended — Kubernetes expertise recommended — Experience with product-led growth strategies — Founder or early-stage PM experience — Ability to prototype or dive into code Location & Work Format: — Based in Paris, France or London, UK offices — Remote work possible from France, UK, Germany, Belgium, Netherlands, Spain, Italy — Encouraged to work in office at least 3 days per week Conditions: — Competitive salary and equity (stock options) — Health insurance — Transportation allowance — Sport allowance — Meal vouchers — Private pension plan — Generous parental leave — Visa sponsorship

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 Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude are often the most demanding buyers, with rigorous requirements around security, compliance, and control. We believe earning their trust is essential to ensuring AI benefits the world broadly. We're looking for an engineering manager for our Enterprise pillar —the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible. You'll build the foundational systems that large organizations require before they can deploy AI at scale. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly. This role sits at the intersection of enterprise product, platform infrastructure, and go-to-market. You'll partner closely with product, design, sales, and customer success to understand what our largest customers need, then translate those requirements into scalable technical solutions that work across Claude.ai , Claude Code, and API. Responsibilities Lead and develop a team of engineers building out features and foundations that make Claude enterprise-ready at scale Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response Partner with engineering teams throughout the company to ensure that the platforms we build are extensible and easy to adopt Partner with sales and customer success on enterprise deals—understanding requirements, representing engineering in key conversations, and turning what you learn into priorities Shape the roadmap with product and design, not just execute against it Drive the compliance and platform-readiness work your customers require, partnering with security and legal Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team Minimum qualifications 4+ years of experience as an engineering manager, with experience in enterprise SaaS, cloud services, or admin tools Are comfortable executing at a fast pace to meet the expectations of our customers Are detail-oriented and quality-focused - our customers are using Claude for critical workflows and our product needs to stay robust and reliable Are comfortable working with enterprise customers, working alongside sales and customer success and joining customer conversations Are a skilled engineering manager who treats management as a craft—clear feedback, strong 1:1s, consistent investment in your team's growth Preferred qualifications Experience with AI/ML products and understanding how enterprises evaluate and deploy AI tools Background with compliance frameworks for regulated industries (SOC2, HIPAA) and enterprise audit logging requirements Experience building integrations, permissions, billing, or pricing infrastructure Familiarity with data residency and sovereignty requirements across global regions Startup experience, particularly in scaling enterprise platforms from early adoption to broad deployment Experience in working with research to improve domain specific model capabilities 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: $405,000 — $485,000 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: Hybrid (Berlin, Germany). Must be based in or be able to relocate to Berlin, Germany (attendance at the Berlin campus 2 days a week). Company: A pioneering local delivery platform operating in over 70 countries, focusing on efficient, affordable, and sustainable last-mile delivery. What you will do: — Build and scale AI agents capable of reasoning, tool calling, and interacting with internal services and data systems. — Develop and maintain Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic retrieval systems. — Design and implement evaluation frameworks and safety guardrails for agent behavior and model performance. — Implement observability, monitoring, and cost visibility for LLM and agent workloads. — Collaborate with data scientists and platform engineers to integrate AI systems with the broader ML ecosystem. — Optimize systems for performance, reliability, and cost efficiency while operating AI workloads at scale. Requirements: — Proven experience shipping LLM-powered systems or AI agents into production. — 4+ years of experience in production machine learning infrastructure, specifically involving LLMs. — Strong programming skills in Python with experience building scalable backend services. — Experience with Cloud platforms, ideally AWS or GCP. — Strong communication skills and ability to work collaboratively in cross-functional teams. Nice to have: — Experience with Kubernetes, Terraform, Kafka, MLflow, or Kubeflow. — Experience with LLM application frameworks such as LangChain, LangGraph, or LlamaIndex. — Experience with ML frameworks such as Hugging Face or PyTorch. Culture & Benefits: — Hybrid working model with 2 days a week in the Berlin campus. — 27 days of holiday, increasing with years of service. — €1,000 Educational Budget, language courses, and access to Udemy Business. — Health checkups, meditation, and gym/bicycle subsidies. — Employee Share Purchase Plan, corporate pension plan, and life/accident insurance. — Relocation support and dedicated relocation hub for moving to Berlin.

Location: Remote - Canada Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Product Manager on Twilio’s Onboarding and Compliance product team. About the job Twilio is looking for a highly skilled and motivated Product Manager to join our Onboarding and Compliance team for Senders and Numbers. Twilio has numerous different types of Senders and Numbers, which are the gateway to accessing all of Twilio’s communication APIs. It is crucial for customers accessing Senders and Numbers to properly register in accordance with local telecommunications regulations, but we also need to make it easy for customers to gain access. In this role, you will own various Senders and Numbers products where you will aim to create streamlined and lovable onboarding experiences while also maintaining best in class compliance standards. Responsibilities In this role, you’ll: Collect and develop business requirements and collaborate with engineering teams to translate these requirements into user stories Partner with cross functional stakeholders to drive product planning, design, execution, and delivery of product investments against defined success metrics Develop, communicate, generate excitement for and obtain buy-in of the product vision, strategy, and roadmap Partner with GTM to launch products and enable sales and marketing teams to obtain product adoption and growth Conduct regular data-driven business reviews that analyze product execution and revenue/market accomplishments. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: Minimum of 8 years of experience in product management in SaaS, IaaS or PaaS Proven track record of leading successful product launches and driving product strategies Command of analytical thinking skills with the ability to use quantitative and qualitative data to make product decisions, get executive buy-in, and drive towards measurable outcomes Excellent communication and interpersonal skills, with the ability to influence and collaborate at all levels and present effectively to internal and external stakeholders Strong technical, analytical, and UI/UX design understanding and the ability to dive deep while also keeping perspective on the big picture goals Initiative, ownership, and accountability to decode vague priorities, manage conflicting inputs, and drive initiatives forward against ambiguous and complex challenges Experience with the cloud, APIs, communications, and/or enterprise software Bachelor in Computer Science, Engineering, or equivalent practical experience Desired: Experience building products/services related to APIs, developer experience Experience working in a regulated ecosystem Location This role will be remote and based in Ontario, British Columbia or Alberta, Canada. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. The estimated pay ranges for this role are as follows: Based in British Columbia. : $145,840.00 - $ 182,300.00 Target Bonus Percentage 15% The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until October 12, 2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Inference organization serves Claude to millions of users and enterprise customers with the speed, reliability, and efficiency that frontier AI demands. We build across GPUs, TPUs, and Trainium, and the complexity of our development environment grows with every platform we add. We're looking for a Staff engineer to be the technical lead for Inference Developer Productivity: the team that makes every engineer in the org dramatically more effective at building, testing, and shipping inference software. This is a senior IC role with broad technical ownership. You'll set technical direction for the team's toolchains, workflows, and feedback loops, and you'll be the one making the hard calls on architecture, prioritization, and tradeoffs across heterogeneous accelerator platforms. You'll pair with the team's Engineering Manager, who owns hiring and people development, while you own the technical roadmap and drive the work. You'll also partner closely with Anthropic's central Infrastructure org, where company-wide developer productivity lives, to make sure Inference's multi-accelerator reality is well served without duplicating effort. This role is for someone who has been the technical anchor on a platform or infrastructure team before, who thinks in systems and feedback loops, and who gets real satisfaction from the moment another engineer stops fighting their environment and starts shipping. Key responsibilities Set technical direction for Inference Developer Productivity, owning the architecture and roadmap for toolchains, dev environments, and CI/CD across GPU (CUDA), TPU, and Trainium platforms Be the technical owner of accelerator toolchain management: compilers, drivers, libraries, frameworks, kept current, compatible, and well-tested so Inference engineers focus on model serving instead of environment archaeology Design and build infrastructure for efficient accelerator usage during development, including devbox environments, pre- and post-land validation automation, and shared tooling that reduces the cost of working across heterogeneous hardware Define and instrument productivity metrics for the Inference org, building the dashboards and alerting that surface regressions early (smoke tests red for extended periods, build times creeping up, toolchain breakages) and drive them to resolution Proactively hunt down bottlenecks, toil, and friction across Inference engineering workflows, then design and build the systems that eliminate them Act as the technical counterpart to Anthropic's central Infrastructure org, aligning on shared developer productivity initiatives, contributing Inference-specific requirements, and making the call on build vs. adopt Mentor engineers on the team through design review, code review, and direct collaboration, raising the technical bar without owning headcount Minimum qualifications 8+ years of software engineering experience, with significant time as the technical lead or anchor on an infrastructure, platform, or developer productivity team Deep background in systems engineering, build/test infrastructure, or ML infrastructure, with the ability to go hands-on with toolchain issues, CI/CD pipelines, and developer workflow optimization Experience owning toolchains or development environments for compute-intensive workloads (ML training or inference, HPC, large-scale distributed systems) Real depth in at least one accelerator ecosystem (CUDA/GPU, TPU, or Trainium/AWS Neuron) and genuine appetite to learn the others A track record of defining and using engineering metrics to drive improvement: you've built dashboards, set SLOs on developer workflows, or led initiatives that measurably improved engineering velocity Experience driving technical alignment across organizational boundaries, advocating for your team's needs while contributing to shared infrastructure Strong written and verbal communication, and the ability to influence technical direction without formal authority Preferred qualifications Experience with ML compiler toolchains (XLA, Triton, NeuronX) or accelerator driver/firmware management at scale Background building or running shared development environments (devboxes, remote development, ephemeral environments) for hardware-dependent workflows Experience with CI/CD systems at scale, particularly for workloads involving accelerator hardware Familiarity with Kubernetes-based development and job scheduling environments Prior tech lead experience on a developer productivity or platform engineering team at a fast-growing AI/ML company 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: $405,000 — $485,000 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: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The mission of the Engineering TPM team is to drive Figma's most important cross-company engineering efforts, and we are looking for a Technical Program Manager (TPM) to partner with our Infrastructure team. The TPM provides oversight of the most important efforts that require coordinated technical execution across the Org to succeed. This is a role focused on enabling Figma's infrastructure teams to scale, improve performance, and deliver on critical projects. These large-scale efforts will involve collaboration across numerous backend, infrastructure, and security teams and cross-functional stakeholders, prioritization, decision-making, tracking execution, and driving operational excellence. We're looking for someone that can work in a TPM greenspace environment and is passionate about people, technology, and program management. Progress over process is our mantra. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Lead the execution, coordination, and risk management of Figma's infrastructure projects, ensuring seamless integration with minimal performance impact Drive key infrastructure initiatives, including reliability, storage, distributed systems, cloud-native performance improvements, and compliance programs (e.g., encryption key management, FedRAMP, SOC 2) Partner closely with engineering, security, compliance, and legal teams to ensure alignment and on-time delivery Track program milestones and ensure seamless delivery across multiple infrastructure teams, including data, caching, observability, and security engineering Provide regular updates to executive leadership, external partners, and internal teams on the status of infrastructure programs, including risks, blockers, and dependencies Develop and drive best practices in infrastructure program management, improving visibility into progress, risks, and technical dependencies Facilitate large-scale testing and rollout strategies for critical infrastructure changes to minimize downtime and ensure high system reliability Translate technical constraints and risks into executive-level communications for senior leadership and external stakeholders We’d love to hear from you if you have: 8+ years in Infrastructure TPM or related roles (cloud engineering, SRE, or infra-focused software engineering), with hands-on experience in cloud-native architectures and distributed systems (AWS, GCP, or similar) Deep technical expertise across infrastructure components - storage (S3, RDS, DynamoDB), caching (Redis), search (OpenSearch), and event-driven systems (Kafka) - with the ability to reason across org-level goals, architectural trade-offs, and component-level details Track record driving large-scale infrastructure programs such as migrations, cost optimization, encryption/key management, and reliability initiatives for high-availability, business-critical services Strong cross-functional program management skills, including coordinating multi-team engineering orgs, tracking performance bottlenecks, optimizing infrastructure SLAs, and establishing PM best practices in ambiguous environments Proven stakeholder management, with experience engaging external partners (cloud providers, enterprise customers) and translating complex technical challenges into clear executive-level communications While it’s not required, it’s an added plus if you also have: A track record of setting up and scaling TPM functions or program management practices within an engineering organization Experience working on high-visibility enterprise security and compliance programs (SOC 2, FedRAMP, encryption key management) Infrastructure incident management and analysis experience Experience working with external enterprise partners on technical programs (e.g., Apple, AWS, Google) Background in software engineering or site reliability engineering (SWE/SRE-to-TPM career path) At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $185,000 — $317,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: United States (Remote); Los Angeles, California; Seattle, Washington; San Francisco, California; Portland, Oregon Workplace: Remote ROLE SUMMARY The Senior Developer Success Engineer - West will be the frontline technical expert for our developer community. You will help users deploy and scale Temporal in cloud-native environments. You will also troubleshoot complex infrastructure issues, optimize performance, and develop automation solutions. This role is ideal for someone who thrives on solving distributed systems challenges and improving the developer experience.   WHAT YOU'LL DO - Be a keen learner: - At Temporal, you’ll work with cloud-native, highly scalable infrastructure spanning AWS, GCP, Kubernetes, and microservices. You’ll gain deep expertise in container orchestration, networking, and observability while learning from complex, real-world customer use cases. - Our stack includes Go, Python, and Java, providing continuous opportunities to hone your programming skills in infrastructure automation, resilience engineering, and performance tuning. - Be a passionate problem solver: - If you enjoy tackling scalability, reliability, and troubleshooting challenges in distributed systems, you’ll thrive in this role. - As a Senior Developer Success Engineer, you’ll work directly with developers to debug complex infrastructure issues, optimize cloud performance, and enhance reliability for Temporal users. - You'll develop observability solutions (Grafana, Prometheus), improve networking (load balancing, DNS, ingress/egress), and automate infrastructure operations (Terraform, IaC) to help customers run Temporal efficiently at scale. - Once ramped up, we expect you to independently drive technical solutions, whether debugging complex production issues or designing infrastructure best practices. Don't worry—we have seasoned engineers and mentors to support you along the way! - Be a great communicator: - As a Senior Developer Success Engineer you will engage directly with developers, engineering teams, and product teams to understand infrastructure challenges and provide solutions that enhance scalability, performance, and reliability. - Your insights will influence platform improvements, from enhancing observability tooling to developing self-service infrastructure solutions that simplify troubleshooting (e.g., building diagnostic tools similar to Twilio’s Network Test). - You’ll serve as a bridge between developers and infrastructure, ensuring that reliability, performance, and developer experience remain top priorities as Temporal scales. WHAT YOU'LL BRING - Reside within the Pacific time zone (United States) - 6+ years of experience as a developer, preferably fluent in one or more of the following languages: Python, Java, Golang, TypeScript. - Experience with deployment and managing medium to large-scale architectures (e.g., Kubernetes or Docker). - Experience with monitoring tools such as Prometheus and Grafana and troubleshooting performance and availability issues. - Minimum of one year experience in an internal or external customer-facing role. - Passion for helping others regardless of who they are or how they act. - Experience working with or as part of remote teams. - Strong written and verbal communication skills. - Seek to understand first, lead with data, and rely on facts. NICE TO HAVE - Previous experience in customer-facing positions such as a professional services consultant, solutions architect, customer engineer, etc. - Experience with security certificate management and implementation. - Ability to understand use cases and translate them into Temporal design decisions and architecture best practices. - Technologies: EKS, GKE, Kubernetes, Prometheus, Grafana, OpenTracing, Terraform/Ansible/CDK. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

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's API is the foundation that customers, developers, and our own products build on, and it is scaling fast. We're hiring a Technical Program Manager to drive the scaling and core efficiency programs for the API stack, working at the intersection of the API and the infrastructure it runs on (compute, databases, networking, and inference). Today this work spans many teams and many simultaneous programs, with no single person focused on cohesion across them. You'll be the center: the person who connects isolated workstreams into one coherent roadmap, makes cross-org dependencies visible before they become blockers, and creates clarity on who owns which decisions. Success looks like an API stack that scales efficiently and predictably, with programs that land because someone is accountable for the whole picture. Responsibilities Drive scaling and core efficiency programs for the API stack from architectural direction through sequenced, deliverable execution Run multiple large programs simultaneously across infrastructure, networking, and the API layer Act as the connective tissue between API, infrastructure, database, networking, and inference teams, owning cross-org dependencies end to end Establish decision-making clarity: who owns what, where trade-offs get made, and how isolated streams roll up into one program view Surface risks, progress, and trade-offs to engineering leadership with the right altitude and cadence You may be a good fit if you Have 7+ years of technical program management experience, with a track record of successfully delivering complex, cross-functional programs Have experience with API platforms, distributed systems, and core infrastructure programs and can engage meaningfully with the engineers who design and operate them Have driven scaling, performance, or efficiency programs for high-volume production systems, including the tradeoffs across performance, reliability, and cost Have coordinated programs spanning many partner organizations, managing cross-team dependencies, commitments, and escalations at the working level Are highly organized and can manage multiple parallel workstreams effectively across distributed teams Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations, including where decision ownership is unclear Have excellent written and verbal communication skills, with the ability to influence without authority Are passionate about Anthropic's mission and interested in the challenges of operating AI infrastructure safely and reliably The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $435,000 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: Czech Republic; Poland; Romania; Portugal Workplace: remote About airSlate airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products - SignNow, pdfFiller, DocHub, altaFlow, Instapage, and US Legal Forms - serve over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.   We’re in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in the United States, Poland, Ukraine and Philippines.  At airSlate, we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for people eager to shape products, scale a company, and thrive in a fast-moving environment. About SignNow team We are a passionate and ambitious team of 100+ people on a mission to succeed with our award-winning signature solution, SignNow. SignNow empowers over 28 million people at companies across the world to move fast with everything they need to send and eSign their documents. Increase productivity with document workflows, impress customers, and save money while maximizing ROI with SignNow.   About the role: As a Principal Product Manager, Core Agreement Features, you will own and evolve the user-facing experiences at the heart of SignNow’s agreement execution journey. You will identify the biggest user pain points in core flows, simplify complex tasks through excellent UX, and use AI capabilities where they meaningfully improve clarity, confidence, and time-to-completion. A key part of this role is helping users succeed in high-stakes moments where they may not fully understand what is required from a compliance perspective. You will design product experiences that guide users toward the right actions, reduce risk, and increase trust, without overwhelming them. This role is highly outcome-driven. You will define hypotheses, run A/B tests, and drive measurable business impact. You will collaborate closely with engineering, design, analytics, support, sales, and marketing, and operate with high ownership and independence. What you will be working on: Core user journeys. Own and improve core agreement execution flows, ensuring they are intuitive, fast, and reliable. User problem discovery. Deeply understand user pain points through research, support insights, and behavioral data, then translate them into clear problem statements and priorities. UX simplification. Turn complicated tasks into simple, guided experiences through UX, product design patterns, and smart defaults. AI-powered assistance. Identify opportunities to use AI to reduce friction and improve user confidence, especially in moments where users are unsure what is required. Define guardrails and fallback behavior to maintain trust. Compliance-guided UX. Build product guidance that helps users make correct decisions in compliance-sensitive contexts, even when users are uncertain about what “right” looks like. Experimentation and optimization. Drive measurable business outcomes through A/B testing and iterative improvements. Define hypotheses, success metrics, and clear decisions based on results. Cross-functional execution. Partner closely with engineering and design to deliver high-quality features, and collaborate with support, sales, and marketing to ensure strong adoption and customer outcomes. Metrics and reporting. Define and track KPIs, monitor funnel performance, and build learning loops that continuously improve the product. What we expect from you: 5+ years of product management experience building user-facing B2B or B2C SaaS products. Strong product craft and UX judgment, with a proven ability to simplify complex user journeys. Deep user empathy and a consistent problem-solving approach, you start from user needs and outcomes, not feature delivery. Experience building and optimizing end-to-end user flows, including onboarding, key task completion, and self-serve experiences. Strong experimentation skills, including designing and executing A/B tests, interpreting results, and turning insights into impact. Data-driven decision-making skills, comfortable defining metrics, building dashboards, and using qualitative and quantitative inputs. Good intuition for where AI adds value in user-facing flows, and where it does not, including practical tradeoffs around quality, risk, and user trust. Excellent communication skills, able to align teams and stakeholders across product, engineering, design, data, support, sales, and marketing. Ownership mindset, bias for action, and comfort operating with ambiguity and multiple stakeholders. Ready to shape a product used by millions? We’d love to hear from you! What we offer   Flexible working environment - Our teams operate across the globe. We value in‑person collaboration in our hubs, but we also embrace remote and hybrid working. You can work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries.   Competitive compensation and stock options - We offer salaries that reflect local market conditions and experience,  plus a performance-based bonus system and stock options so you share in the company’s growth.   Professional growth and learning - We invest in your development through courses, conferences, and access to learning resources. We encourage career growth and internal mobility, supporting teammates who want to explore new opportunities within airSlate.   Health and well‑being - We provide comprehensive benefits tailored to each country, including health coverage, wellness programmes and access to fitness options. We also dedicate quarterly company-wide Mental Health Days, when everyone takes time off to rest and recharge.   Family‑friendly culture - Family life is part of who we are, and we embrace it in many forms. From flexibility for parents to our airSlate Junior Club for kids, to company-wide family days and our pet-friendly approach, we’re committed to making work and life easier to balance.   Giving back - We support charitable initiatives around the world through the airSlate Care programme. Our current focus includes humanitarian aid in Ukraine and other regions, matching employee donations and supporting causes chosen by our teams.   Open communication - We encourage transparent dialogue at all levels. From team discussions to company-wide Q&A sessions with our CEO, we make sure everyone has the chance to be heard and to influence how we grow.       It is airSlate's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. airSlate's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. airSlate is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, airSlate will consider for employment qualified applicants with arrest and conviction records.   Read our Recruitment Privacy Notice to Learn how we process your personal information.

Location: Singapore Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences - Proficiency in Mandarin is required to support interactions with Mandarin speaking clients. EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Hybrid - Palo Alto 📍 Hybrid, Palo Alto (Hybrid – 2 days/week in office) Reports to: Director Data Science + Analytics Job Type: Full-time, W2 About the Role We are looking for a highly strategic Senior or Staff Data Scientist to design, build, and own the end-to-end data framework that defines our business health: Unit Economics. In this role, you won't just build standalone models; you will connect the dots between customer acquisition, multi-product lifecycles, complex healthcare reimbursement cycles, and operational cost structures. Your work will serve as the financial and analytical source of truth, directly influencing how we allocate marketing spend, price our products, manage retention, and project long-term profitability. You will sit at the intersection of Data Science, Finance, Marketing, and Operations, acting as a critical strategic partner to executive leadership. What You’ll Do Unified LTV & Reimbursement Modeling Bridge Estimated vs. Realized LTV: Develop sophisticated lifetime value models that account for the volatility of healthcare reimbursements and the time value of money. Predictive Reimbursement Rates: Build models to predict actual reimbursement rates across a complex mix of insurance allowables and self-pay tracks, closing the gap between theoretical revenue and cash-in-hand. Integrate Margin Constraints: Establish the foundational frameworks that incorporate operational realities—such as state-by-state clinician licensing costs and wage ranges—ensuring our LTV calculations reflect true contribution margins. Cross-Product Attribution & Portfolio Optimization Blended Contribution Margin: Optimize "basket composition" and cross-sell dynamics between our physical supplement lines and clinical services to maximize total margin. Multi-Touch & Cross-Product Attribution: Build advanced attribution models (Markov chain, ML-based) to quantify the interplay between product lines—specifically tracking how supplement purchases drive clinical visit adoption and vice versa. Price Elasticity: Design and analyze pricing experiments for supplement products to identify optimal margin-maximizing price points without degrading long-term subscriber retention. Causal Inference & Growth Intelligence Influence the CAC Decision Curve: Utilize your LTV and margin frameworks to influence the marginal LTV curves that marketing uses, helping them determine the exact point of diminishing returns on ad spend. Causal Churn Intervention: Move beyond simple churn prediction. Build uplift models to identify which at-risk customers will respond positively to specific interventions (e.g., targeted offers, clinical outreach), preserving margin by avoiding unnecessary discounting on "sure things" or "lost causes." Strategic Macro-Simulation Systemic Stress-Testing: Build stochastic (Monte Carlo) macro-simulations to help leadership and finance stress-test our business model. You will answer questions like: "If a major insurance payer shifts an allowable rate in a key state, how does that impact our payback period and portfolio margin?" What You Bring Technical Skills Advanced Modeling & Stats: Mastery of predictive modeling and Causal Inference techniques (e.g., uplift modeling, propensity score matching, synthetic controls, or diff-in-diff). Production-Grade Engineering: Proven experience architecture - building, deploying, and maintaining production-grade machine learning models. You write clean, modular, and well-tested code that integrates seamlessly into downstream workflows. Expert-Level Evaluation: Deep expertise in model evaluation methodologies, backtesting, and validation. Because your models directly impact financial forecasts and pricing decisions, you have a rigorous approach to error analysis, cross-validation, and drift detection. Attribution & LTV: Proven track record building attribution models (algorithmic or heuristic) and handling survival analysis for churn and retention forecasting. Programming & Querying: Advanced proficiency in Python for complex statistical analysis, alongside expert-level SQL for manipulating large data streams. Simulation Design: Experience structuring systemic business simulations or stochastic modeling. Modern AI Workflow: Active adoption and mastery of Large Language Models (LLMs) and generative AI tools within your personal development workflow to accelerate coding, debugging, documentation, and prototyping. Analytical Capabilities Unit Economics Intuition: You have a deep, near-obsessive understanding of the relationship between CAC, LTV, payback periods, gross margins, and contribution margins. Business Acumen: The ability to translate complex statistical outputs into clean, actionable frameworks for the CFO, CMO, and executive leaders. You know how to influence cross-functional roadmaps with data. Strategic Problem Structuring: Ability to take vague, complex business questions and break them down into answerable, high-impact analytical components. Experience 8+ years of experience delivering high-impact data science solutions. Master’s or PhD in Economics, Econometrics, Applied Statistics, or a related quantitative discipline. Ideally, your background includes time in Marketplaces, Healthcare operations, or D2C subscription businesses. Demonstrated progression in scope and impact, with a history of acting as a strategic partner to finance and operations teams. Interview Process: Recruiter Screen- 30 mins Hiring Manager Screen- 45 mins Technical Screen- 1hr Panel Interviews- 2-3 hours + Lunch in Office in Palo Alto At this time, Midi is unable to provide visa sponsorship . Candidates must be authorized to work in the U.S. without current or future sponsorship needs. The Salary range base salary is 210-250K and will depend on experience.Midi pays a competitive base salary, plus equity and benefits. While you’re waiting for us to review your portfolio, here’s some fun content to check out 🎥 https://www.youtube.com/watch?v=1px7i6MVjNg #LI-PS1 At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs. Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com . Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history. Please find our CCPA Privacy Notice for California Candidates here .

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. The role This is a foundational role on Sierra's Operations team, sitting at the intersection of marketing and GTM. As Marketing Operations and Analytics Lead, you'll own two things: the measurement infrastructure that connects marketing programs to pipeline and revenue; and the operational processes that make the marketing engine run efficiently and at scale. What you'll do - Full-funnel attribution: Design and own Sierra's marketing attribution framework, connecting campaigns, events, content, and demand gen programs to pipeline generation and ultimately LTC conversions. - Pipeline analytics: Partner with Marketing and Sales to analyze pipegen by vertical, region, and segment. Track conversion rates at each stage and surface where marketing programs are—and aren't—generating high-quality opportunities. - Performance reporting: Build and maintain the marketing team's core performance dashboards—campaign ROI, event pipeline influence, channel mix, lead quality, and funnel velocity. - ICP & account intelligence: Develop data-driven ICP scoring and account prioritization models to focus marketing investment on segments with the highest win rates and ASPs. Integrate signals from first-party and third-party intent sources to keep targeting sharp. - Experiment design & optimization: Design rigorous A/B and multivariate tests across marketing channels. Establish the statistical standards the team uses to evaluate new programs; translate results into clear, actionable recommendations—not just p-values. - Lead management & routing: Define and maintain lead scoring models, MQL thresholds, and routing logic from first touch to Sales handoff. Partner with Sales to ensure lead quality, minimize friction, and continuously improve conversion from MQL to pipeline. - Campaign operations: Own the operational infrastructure behind campaign execution—email programs, landing page workflows, event lead capture, and list management. Build processes that let the demand gen and events teams move quickly without creating data debt. - Cross-functional partnership: Serve as the analytical and operational bridge between Marketing, GTM Ops, Finance, and Sales leadership—ensuring marketing metrics are aligned with company PG, POC, and ARR targets; contribute to quarterly business reviews (QBRs) and annual planning with marketing-specific performance analysis and forecasts What you'll bring - 12+ years spanning marketing analytics and marketing operations - Deep expertise in attribution modeling, multi-touch funnel analysis, and pipeline/revenue measurement in long, multi-stage enterprise sales cycles - Hands-on martech stack experience—marketing automation (Marketo, HubSpot, or similar), Salesforce, lead routing, and third-party enrichment tools - Strong SQL skills; fluency working with large datasets in modern data stacks (ClickHouse, Snowflake, BigQuery, or similar) - Proven ability to translate complex analyses into clear narratives for non-technical stakeholders, including C-suite executives - High attention to detail and a strong point of view on what "good" looks like—you've built this infrastructure before and know where the landmines are OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Kazakhstan Workplace: remote The Role:  We are seeking a highly organized and energetic Events Coordinator to join our dynamic team at Kazakhstan. The successful candidate will be responsible for the planning, coordination, and execution of events, ensuring that every detail is meticulously managed. The main responsibilities of the position include: Organize and execute a range of events including corporate gatherings, galas, seminars, conferences, online events etc. ensuring a seamless experience for guests Coordinate all aspects of event logistics, including venue selection, catering, audiovisual equipment, guest accommodations, etc Develop event concepts and create detailed timelines, budgets, etc Support the promotion of events through a variety of initiatives and by coordinating with marketing team Manage vendor relationships, negotiate contracts, and ensure all deliverables meet company standards Oversee and support event set-up, tear down, and follow-up processes to ensure smooth event execution Troubleshoot and resolve any issues on the day of the event Manage a calendar to track project progress and ensure exceptional outcomes Monitor and evaluate event performance through client feedback and internal reviews Undertake any other relevant responsibility as assigned Main requirements: Degree in Marketing, Event Management, Business or a relevant field At least 3 years of experience in a similar role Fluent in Kazakh and excellent oral and written skills in English Outstanding communication and interpersonal skills Ability to think critically and take necessary actions Highly organized with the ability to multitask Benefit from: Attractive remuneration package plus performance related reward Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Anywhere Workplace: Remote Molecule and BIO.xyz are building the foundation of Decentralized Science (DeSci) — where biotech meets web3 to make scientific research community-owned, transparent, and faster to market. Molecule provides the infrastructure to turn intellectual property (IP) into programmable, on-chain assets through our IP-NFT framework and evolving protocol stack. This enables researchers, patients, and communities to fund and govern biotech projects in new, open ways. BIO.xyz http://Bio.xyz is the coordination and economic layer of DeSci, powering BioDAOs through funding, governance, and ecosystem alignment. Together, we are creating a new model for scientific discovery — one where breakthroughs are owned and advanced by the communities that believe in them. Location: Remote - preferred: Canada, US, UK, EU, or Switzerland You will be a force multiplier for Molecule's Chief Legal Officer. This is a broad-based legal operations role inside a venture-backed startup working across biotech IP, decentralized finance, and blockchain-based scientific funding - spanning Switzerland, the EU, the US, and Canada simultaneously. You won't just process documents. You will design and run AI-powered legal workflows end-to-end: draft contracts using LLMs, build Human-in-the-Loop review protocols, maintain prompt libraries and SOPs, and continuously raise the bar on what a single paralegal can ship. The AI tools are not a shortcut - they're your operating system, and you own the quality of everything that comes out of them. WHAT YOU'LL DO - Draft, review, and manage corporate documents - shareholder agreements, board resolutions, NDAs, MOUs, term sheets, and governance instruments for DeSci projects - Prepare transactional documents for fundraising rounds, token sales, SAFTs, IP licensing agreements, and IP-NFT frameworks - Support IP portfolio management: patent prosecution coordination, trademark filings, IP assignment agreements, and research collaboration agreements across US, EU, and international jurisdictions - Assist litigation and dispute resolution - pleadings, discovery, deposition summaries, privilege logs, and case chronologies alongside outside counsel - Operate and quality-review AI legal tools integrated into Molecule's workflows: LLM-driven drafting, summarization, research, and compliance screening - Design structured HITL review protocols so AI-generated work product meets first-tier quality before it reaches the CLO - Build and maintain prompt libraries, workflow templates, and SOPs for AI-assisted legal tasks - Monitor regulatory developments across SEC, FINMA, MiCA, and Canadian securities regulators affecting DeSci, IP tokenization, and digital assets - Support KYC/AML documentation, GDPR and data protection compliance, and regulatory filings WHO YOU ARE - AI-native. You have real, hands-on experience using LLMs for legal drafting, research, or document analysis - and you've built or operated HITL review workflows, not just heard about them - Paralegal-credentialed. Diploma, certificate, or degree from an accredited institution, with 3+ years of experience in corporate, transactional, or litigation matters at a firm or in-house - Jurisdictionally versatile. Comfortable working across US, Canadian, Swiss, and EU legal systems - or eager to get there fast - Organized under pressure. You manage multiple concurrent matters, deadlines, and stakeholders in a distributed startup without dropping threads - Independent and high-ownership. You don't wait to be told what to do next. You take matters end-to-end and escalate when it counts - Curious about the mission. Biotech, blockchain, and AI converging in one company either excites you or you wouldn't be reading this PREFERRED (NOT REQUIRED) - Current paralegal license (LSO or equivalent provincial/state licensing) - Experience with venture capital transactions, SAFTs/SAFEs, convertible notes, or startup fundraising legal ops - Familiarity with blockchain, DeFi, digital asset regulation, or DeSci ecosystems - Background in IP licensing, patent prosecution support, or biotech research collaboration agreements - A bachelor's degree in law, science, business, or a related field WHAT WE OFFER - A legal operations seat at a company building the infrastructure for autonomous science - Token allocation - Remote-first with flexibility across time zones - Paid travel to conferences, scientific events, and team off-sites - Learning and professional development budget including CLE/CPD and AI tool training - Generous PTO Within you application, please include a cover letter on why Molecule and DeSci excite you and describe your experience with AI tools and HITL workflows in a legal context. Canadian candidates: include your paralegal license number or equivalent provincial status. This is a paralegal role. The individual hired will not provide independent legal advice. All legal work product will be reviewed and approved by a licensed attorney prior to use. We are an equal opportunity employer. We are committed to equality and weaving a community that values diverse perspectives and experiences and are actively seeking a diverse pool of applicants. All employment decisions are made without regard to race, colour, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law.

Location: Birkirkara, Malta; Limassol, Cyprus; Nicosia, Cyprus About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Wolt Market is Wolt’s own chain of dark stores, designed to deliver exceptional convenience and a world-class customer experience through fast and reliable grocery delivery. We are looking for an experienced Country Manager to lead and grow the Wolt Market business in Cyprus. As a Country Manager, you will be accountable for the overall performance of Wolt Market in the country, owning the local P&L and driving sustainable growth, profitability, and operational excellence. You will lead the local organization across commercial, operations, and supply chain functions, ensuring strong execution and a consistently high standard of customer experience. Working closely with regional stakeholders, you will set priorities, develop local strategy, and build a high-performing team capable of delivering scalable and sustainable business results. Key tasks and responsibilities of the role: Own full country or cluster PnL, including revenue growth, margin development, cost control, and overall profitability. Define and drive the commercial strategy for the market, including assortment, pricing, promotions, and supplier partnerships. Lead and develop local Category, Content and Commercial Finance Operations teams, ensuring strong ownership, capability building, and performance discipline. Ensure healthy order economics by balancing growth initiatives with operational and financial efficiency. Drive structured performance management by defining KPIs, reviewing results, and ensuring corrective actions are implemented when needed. Partner closely with Regional Operations and Supply Chain counterparts to ensure operational capacity, availability, and service levels support commercial plans. Translate regional and global initiatives into clear local action plans, ensuring timely and high quality execution. Identify growth opportunities within the market and develop business plans to capture them. Ensure strong cross functional collaboration in the market and act as the integrator across commercial, operations, and supply chain. Represent the market in regional planning forums and contribute insights to regional and global strategy discussions. Ensure compliance with local regulations, health and safety standards, and company policies. Strengthen reporting frameworks and performance transparency to enable data driven decision making. Qualifications for the role: Strong experience in general management, commercial leadership, or market leadership roles with proven PnL ownership. Extensive experience in retail, grocery, e-commerce, or other multi site operating environments. Strong commercial acumen and negotiation experience with suppliers and external partners. Proven leadership experience, including building and developing high performing teams. Strong analytical skills and ability to translate data into actionable decisions. Experience operating in a matrix organization and collaborating across multiple functional stakeholders. Ability to think strategically while maintaining strong operational focus and attention to detail. Excellent communication and stakeholder management skills. Excellent skills in G Suite or MS Office, especially Excel. Full professional proficiency in English. The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This position would be eligible for consideration for an equity award grant of restricted stock units on commence and during the annual pay review cycle. Upon commencement of employment, you would be eligible to be considered for a grant. Thereafter, any further grants would be at the Company's discretion. Pay Range: €6.020 — €7.525 EUR Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Warsaw, Poland What is Box? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU We need to make sure that all of our product experiences can be used by anyone, from anywhere, using any device. As the Senior Product Manager for Accessibility, you will lead the charge in ensuring our products meet accessibility standards and provide inclusive experiences for all users. WHAT YOU’LL DO Lead the UX Platform roadmap , partnering with Design and Engineering to build and evolve the shared component library, design system, and platform primitives that power consistent product experiences across Box Partner cross-functionally with Product, Engineering, Design, and GTM teams to embed Localization, Accessibility, and UX Platform considerations into the product development lifecycle from planning through launch Own and drive the Localization strategy for Box, defining standards, workflows, and tooling to ensure Box products are fully translated, culturally adapted, and market-ready for global audiences Define and scale Box’s Accessibility standards , establishing WCAG conformance requirements and inclusive design practices across all Box apps and experiences Build and maintain the Localization infrastructure , including translation management systems, internationalization (i18n) frameworks, and vendor relationships to support efficient, high-quality global releases Drive adoption of UX Platform components across product teams, reducing duplication, accelerating development velocity, and ensuring design consistency at scale Act as the internal SME for Accessibility, Localization, and UX Platform — educating teams, developing internal guidance, and championing these disciplines with senior leadership Align with senior leadership on roadmap priorities, report on program health across all three areas, and communicate progress to customers and GTM partners Identify and validate opportunities to use AI in accessibility evaluation, issue triage, and remediation, combining automation with expert review and feedback from users with disabilities. WHO YOU ARE 6+ years of Product Management experience, with demonstrated ownership of platform, infrastructure, or foundational product areas Ability to operate at both strategic and execution levels — comfortable setting multi-quarter roadmaps while also diving into the details of implementation with Engineering and Design Strong cross-functional collaboration skills , with a track record of influencing without authority across Product, Engineering, Design, and GTM teams Hands-on experience using AI t o synthesize customer research, analyze product data, build prototypes, and automate recurring PM workflows, with concrete examples of improved outcomes. Experience building or scaling a UX Platform, design system, or shared component library , with a strong understanding of how platform investments accelerate product teams Experience in Localization or Internationalization (i18n/L10n) , including familiarity with translation management systems, locale-specific UX considerations, and global go-to-market workflows Knowledge of Accessibility standards (WCAG, ARIA, EN 301 549) and a commitment to building inclusive product experiences We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. For details on how we protect your information when you apply, please see our Personnel Privacy Notice . For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-EMEA #LI-VM1