Вакансии

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role A connected Claude is the difference between a general-purpose chatbot and a real coworker. We're building the connected enterprise on three fronts: zero-touch activation, a thriving connector ecosystem, and an enterprise control plane that lets organizations adopt with confidence. We own the path from discovering a connector to using it every day: default and suggested connectors, one-click setup, connector requests, and the identity and admin pieces that remove setup friction for a whole organization at once. You'll be a technical leader who owns activation end to end, from the moment someone sees a connector to their first successful use of it. You'll also help to shape the foundations that help the connector ecosystem grow, and the governance controls that make it safe at enterprise scale. You'll partner closely with product, design and data science, and carry real ownership over what we ship next. What you'll do Own connector activation end to end: measure the funnel from discovery to first use to habit, find the biggest drop-offs, and fix them Build and run experiments on default connectors, in-product suggestions, connector requests and onboarding flows Make setup close to zero-touch, building on open standards like Cross App Access (XAA) and the MCP authorization spec so one approval can turn a connector on for everyone Improve the connectors people reach for most, like Microsoft 365 and Google Workspace, so the first experience works and keeps working Lay platform foundations for the connector ecosystem: reusable building blocks that make every new connector easier to launch, discover and activate Build out the enterprise control plane: admin controls and governance (domain restrictions, labels, permissions) that help security teams say yes faster instead of blocking rollout Partner with product, design, data science and sales to turn usage data and customer feedback into priorities Set technical direction and standards for the team, mentor other engineers, and lead with influence rather than authority Minimum Qualifications Have shipped growth or activation work: onboarding flows, funnels, experimentation, and measuring what actually moves usage Are comfortable with authorization and identity (OAuth 2.0, OIDC, SSO), enough to make setup flows simple without cutting corners Have built on large platform APIs (Microsoft Graph, Google Workspace or similar) and can debug failures on both sides of the boundary Have built platform or ecosystem surfaces that other teams or developers rely on, and care about durable, well-designed APIs Understand what enterprise admins and security teams need from policy, permissions and governance at scale Use data and user research to decide what to build, and can explain the tradeoffs to product and design partners Drive cross-team and cross-company alignment to ship, with influence over authority Preferred Qualifications Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Contributed to or implemented emerging auth standards (IETF OAuth drafts, MCP authorization) Experience with data governance or information protection (sensitivity labels, DLP) Built admin consoles or policy engines for multi-tenant SaaS Run growth experiments on activation funnels Built AI products or agent tool integrations (MCP) Helped grow a developer or partner ecosystem around a platform 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: New York City Workplace: Remote GLOBAL SYSTEMS INTEGRATOR (GSI) PARTNERSHIPS MANAGER At Sanity.io http://Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create and automate content the way their business works. Accelerating digital development and super charging content operations efficiency. Companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom and Morningbrew are using Sanity to power and automate their content operations. This role decides which of the world's largest systems integrators (SI), regional SIs and enterprise agencies build their next practice on Sanity. The biggest brands rarely take on AI content operations alone. They bring a GSI or enterprise agency to the table, and your job is to make sure that firm brings Sanity. You'll own the full motion for a focused set of tier-one firms: finding the right practices, earning executive sponsorship, signing the partnership, and getting each firm to its first sourced deal and first delivered project on Sanity. This is the role for someone who wants to build a channel, not inherit one. It's a senior, quota-carrying individual contributor role on the Channel Partnerships team, reporting to the Head of Channel Partnerships. You'll work closely with Sales, Solutions Engineering, Partner Marketing, and Customer Solutions, and you'll be the internal voice of the GSI partner in how we build programs, enablement and co-sell motions, and in how Sanity wins its largest customers. WHAT YOU WOULD DO Recruit tier-one partners - Build and run a target list of GSIs, RSIs and large agencies (e.g. Accenture, Deloitte, Publicis Sapient, Valtech, EPAM, Cognizant, UST), prioritized by fit with Sanity's ICP. - Map each firm's digital experience, commerce, content, and AI practices; find the practice leads, alliance owners, and delivery heads who can make Sanity the AI Content Operating System behind their clients' AI content operations and agentic programs. - Make the case for a Sanity practice: market demand, services revenue opportunity, and why every AI and agent project they deliver needs structured content underneath it. - Negotiate partner agreements, tier placement and joint commitments with Sanity's Partnerships, Legal, and Finance teams. Onboard and activate - Own each new partner from signature to first sourced opportunity and first live implementation, against a defined onboarding plan. - Stand up a joint business plan per partner: target accounts, certification goals, practice build-out, marketing commitments, and quarterly pipeline targets. - Run technical and sales enablement sessions with support from Solution Engineering and Revenue enablement: Sanity platform demos, specialized modules and use case trainings, content operations workshops, selling Sanity overviews, etc. - Build repeatable onboarding playbooks in collaboration with cross-functional teams so the motion scales beyond the first wave of partners. Grow joint pipeline - Run account mapping and co-sell motions with Sanity AEs; set rules of engagement and manage deal registration. - Generate partner-sourced and partner-influenced pipeline against a quarterly target. - Launch joint go-to-market: solution offers, co-hosted events, case studies and campaigns with Partner Marketing. - Lead QBRs with partner executives and report pipeline, activation and practice health to Sanity leadership. Shape the program - Bring GSI feedback into Sanity's partner program, tiering, incentives and product roadmap. - Partner with RevOps to keep partner data clean and measurable in Salesforce and our partner tools. About you - 8+ years in partnerships, alliances or channel at a SaaS company, with 5+ years working directly with GSIs, RSIs, or enterprise agencies - A track record of recruiting tier-one SI partners yourself and turning them into partner-sourced revenue - A network inside the major GSIs and agency holding companies: you know the practice leads, alliance directors, and delivery executives who decide where a firm invests - Fluency in how SIs make money (practice economics, utilization, certifications) and what it takes for a firm to build a practice on a new platform - Experience carrying a partner pipeline or revenue number and co-selling alongside enterprise AEs - Exceptional communication skills: you can make the case for a Sanity practice to a managing director and hold your own with their solution architects - Familiarity with content operations and curiosity about how structured content, AI and agents are changing the work partners deliver for their clients - Comfortable building without a finished playbook. You've stood up partner motions, not only run mature ones - Willingness to travel to partner offices and events (~25-40%) Nice to have - Time spent inside a GSI or large agency - Experience with hyperscaler co-sell motions (AWS, Google Cloud, Microsoft) - Hands-on exposure to AI content workflows or agentic automation in enterprise client delivery - You've worked with partners who build on Sanity, or used Salesforce and Crossbeam to run a partner book WHAT WE CAN OFFER - A highly-skilled, inspiring, and supportive team - Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth - A global, multi-culturally diverse group of colleagues and customers - Comprehensive health plans and perks - A healthy work-life balance that accommodates individual and family needs - Competitive salary and stock options program WHO WE ARE Sanity.io http://Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business. Sanity recently raised an $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years. You can only build a great company with a great culture. Sanity is a 300+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! https://www.sanity.io/blog/our-sanity-values Sanity.io http://Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

Location: San Francisco, CA • New York, NY 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 Figma Security team is to help Figmates ship the most secure and safe product to our users. As a PhD Intern, Security Engineer you will work on an impactful project to improve the security of Figma’s product, platform, or infrastructure, working closely with a mentor and teammates while applying your research background to drive real-world impact. You will partner closely with teams across the company, focus on systemic security improvements and risk reduction, and participate in operational security responsibilities like security reviews, consulting, vulnerability triage, and security incident response. This is a 12 or 16-week internship role that can be held from one of our US hubs (San Francisco or New York) starting in May or June of 2027. What you’ll do at Figma: Perform technical security assessments, code audits, and design reviews Design and develop solutions to prevent or mitigate security vulnerabilities across Figma’s products, services and infrastructure Lead and support security investigations, developing the datasets, tooling, and analysis that help us scope incidents, understand root cause, and reduce time to detect and respond Translate threat intelligence into action, operationalizing intel on relevant threat actors and techniques to prioritize detection coverage, harden high-risk surfaces, and guide security strategy We’d love to hear from you if you have: Current enrollment as a 4th or 5th year senior PhD student in a Computer Science program with a focus in Security or a related field Proficiency in at least one general-purpose coding language A track record in applying security techniques to projects in academia or industry, with excellent domain knowledge in at least one relevant area such as AI Safety/Evaluation, Useable security, Anti-abuse, Anti-fraud, detection and response or similar Strong knowledge of statistical methods and/or experimental design Experience solving sophisticated problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward While it’s not required, it’s an added plus if you also have: Related industry experience via a past internship or full-time role Proven expertise in security through publications at top security conferences like USENIX Security, NDSS, CCS, IEEE S&P Strong communication and interpersonal skills, with demonstrated experience collaborating across functions Experience using AI tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code A good understanding of at least two of Linux/Unix/Mac-based systems security, AWS security, Cloud SaaS Security, applied cryptography, anti-abuse, or web application security 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 This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below.  Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future. Internship $74 — $74 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: New York, United States; Miami, United States; Dallas, United States; Charleston, United States; Charlotte, United States Crystalia Glass is seeking an experienced, analytical, and execution-focused Head of Sales (B2C) to spearhead sustainable revenue and conversion growth across our nationwide retail operations. We are looking for a growth-oriented builder rather than a maintainer — a commercial executive with a proven track record of diagnosing funnel bottlenecks, architecting high-converting sales systems, enforcing strict operational discipline, and scaling inbound, call-driven consumer sales. The ideal candidate brings deep commercial leadership experience in the national consumer market, specifically within consultative, custom-made physical products with an average order value of $6K+. Responsibilities: Revenue Growth & Funnel Optimization: Develop and execute the overall B2C growth strategy. Rigorously analyze sales data to identify root causes of lost revenue, prioritize growth levers, drive stage-by-stage conversion gains, accelerate speed-to-lead and quote turnaround, and eliminate avoidable lost deals. Leadership Through Managers: Lead, mentor, and hold accountable B2C Sales Team Leads. Establish their operating cadence, review cycles, and QA standards; empower each Team Lead to drive daily execution, rep coaching, and performance management. Commercial Engine & Process Architecture: Design and refine end-to-end B2C customer engagement standards, multi-touch follow-up cadences (phone, SMS, email), discounting discipline, margin preservation, and seamless order handoffs to production. AI Integration & Conversation Intelligence: Actively embed modern AI workflows into daily sales operations. Leverage conversational AI, automated speech transcription, and LLMs (ChatGPT, Claude, specialized speech QA) to run 100% call QA, surface recurring objection patterns, diagnose lost-deal root causes, and equip Team Leads with automated coaching insights for their reps. Operational Excellence & CRM Governance: Establish and enforce strict CRM architecture and hygiene (HubSpot, Salesforce, or equivalent). Oversee pipeline stages, automated task flows, omnichannel sequences, and SLA tracking; build BI dashboards that turn pipeline data into prioritized operational actions with clear owners and deadlines. Sales Enablement & Training: Develop deep expertise in our architectural glass systems, configurations, and pricing logic. Partner with the Training Department to create practical objection-handling playbooks, scripts, and targeted coaching modules based on real call transcript data. Cross-Functional Collaboration: Partner with Marketing on lead volume, CAC, lead scoring, and segment quality, while expanding complementary demand channels (referrals, repeat clients, trade/design partnerships). Align with Estimating and Production to ensure quote accuracy and reliable turnaround times. Executive Cadence & Strategic Alignment: Own full operational accountability for the B2C sales function. Deliver transparent reporting and forecasting to the CEO on conversion, margins, and revenue performance, serving as the trusted leader of the retail commercial engine. Requirements Experience: 10+ years of total sales experience, with 5+ years in sales leadership. 3+ years as head of a B2C sales function directly managing Team Leads or sales managers who ran their own front-line teams. Demonstrated track record leading a B2C business generating $30M+ in annual revenue. Market & Product Background: Proven leadership in the national market selling physical, consultative, custom-made products requiring discovery, quoting, and production (e.g., architectural glass, windows & doors, custom closets, cabinetry, kitchens, remodeling, flooring, or interior finishes; installation experience is not required). Sales Model: Expert in high-volume, inbound, call-based B2C sales environments where conversion hinges on rapid lead response, quote turnaround, and structured follow-up cadences. Proven builder profile: documented success in building or substantially redesigning a sales engine from scratch, demonstrating verified conversion and revenue expansion rather than simply maintaining existing workflows. Experience designing and managing performance-driven commission plans for B2C sales teams. Analytical Discipline: Rigorous data-driven mindset capable of isolating funnel drop-offs, separating lead quality issues from sales execution flaws, and verifying ROI on operational changes. CRM & AI Fluency: Advanced proficiency in CRM pipeline design, automation, SLA tracking, and BI dashboards. Daily, practical adoption of modern AI tools (ChatGPT, Claude, Gemini, Perplexity) applied to call QA, lost-deal reviews, and team performance diagnostics. Leadership & Communication: Exceptional communication and interpersonal skills, with a direct, transparent management style and a track record of making decisive, data-backed talent and performance decisions. Skills & Attributes:Education / Plus: Business or Marketing degree is a plus; prior experience in a combined Sales & Marketing leadership role is an asset. Benefits Competitive base salary + performance-based bonuses. On-site role, Monday to Friday, 8:30 AM – 5:00 PM. Complete ownership of the sales strategy and a chance to lead business expansion in a fast-growing U.S. company. Opportunity to make a tangible, high-impact contribution to the business.

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As the API Product Lead at Harvey, you'll own the strategy, roadmap, and execution for Harvey's APIs: the way law firms and in-house legal teams integrate with and build on top of Harvey’s platform. You'll turn customer demand into a product that customers can adopt, build on, and capture value from. You'll balance new capabilities against the reliability, security, and scale that production builds on Harvey require. WHAT YOU'LL DO You'll define and drive the product vision and roadmap for Harvey's APIs, aligned with company strategy and grounded in evidence from customers, usage data, and the market. You'll work closely with engineering, solutions architects, and go-to-market teams to ship, and you'll own the outcomes: adoption and production usage. Day to day, you will own planning, prioritization, and roadmapping. You'll make and communicate crisp prioritization decisions, balancing new capabilities against reliability, performance, and security. You'll define the metrics that matter, including who is building on Harvey, what they are building, how much they use, and hold the team accountable to them. You'll be the connective tissue between customers building on Harvey, the teams who support them, and engineering, and you'll raise the product bar through rigorous specs, reviews, and decision-making. WHAT YOU HAVE 7+ years of product management experience shipping and scaling software platforms in a production environment, with a track record of measurable impact Experience owning APIs or developer platforms end to end, from design and documentation through adoption and monetization Strong ability to translate ambiguous problems and deep customer needs into clear strategy, crisp requirements, and prioritized roadmaps Fluency working with engineering on technical trade-offs, and comfort with API design, authentication and access control, rate limits, and usage metering at a level sufficient to make informed decisions Excellent analytical skills, with the ability to define metrics and use data to guide decisions Outstanding written and verbal communication, and a demonstrated ability to influence and align stakeholders across product, engineering, and go-to-market A high bar for quality, strong product judgment, and a "spidey sense" for where a developer or customer experience could break down COMPENSATION $213,600 - $300,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-GV1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: North York (Toronto), ON, Canada Are you a skilled Chaldean interpreter looking for a flexible and rewarding opportunity? We are seeking talented individuals proficient in Chaldean and English to join our team of international interpreters. If you have a passion for languages and a commitment to providing excellent service, we want to hear from you! This is a fully remote position. As a remote interpreter, you play a significant role in facilitating communication between Chaldean and English speakers. The interpreter needs to be able to process information quickly and accurately in a professional manner. It is essential to ensure a quiet and secure environment. Notepads, writing utensils, glossaries, and dictionaries are useful tools. Candidate Qualifications: Fluency in English and Chaldean Minimum 2 year of interpretation experience Excellent listening, retention, and note-taking skills to maintain a high level of accuracy Ability to render correct concepts and meanings according to established interpretation protocols, avoiding omissions or additions Ability to explain certain cultural concepts to avoid miscommunication, with permission or at the request of the client Technical Requirements: 90% English proficiency Steady wired internet connection USB wired headset Windows 10 or Mac What we offer you: Fully remote — work from your home office Full-time contractor position Immediate availability to start after onboarding Monthly payments Your responsibilities: Answer calls professionally, acting according to the interpreter’s code of conduct Be familiar with industry-specific vocabulary (especially healthcare and medical terminology) Participate in internal professional training Communicate and report to your team leader *Based on your location, language testing and background check may be required. Join us and become part of a dynamic team that values your skills. Apply today and start making a difference in the world of interpretation!

Location: 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! We are seeking an experienced Sales Operations Manager to partner with our Sales team for Mid-Market, Enterprise & Strategic segments. In this role, you will serve as a business partner on the Regional Sales Operations team, playing a critical role in helping Figma Sales scale revenue across both our self-service and assisted sales motions. This is a full-time role that can be held from our New York hub or remotely within the Eastern US time zone. What you’ll do at Figma: Serve as a trusted thought partner and strategic advisor to the SVP of AMER Sales — translating business performance, market trends, and field insights into clear recommendations that shape regional priorities, guide investment decisions, and accelerate growth Assist the forecasting process for Mid-Market, Enterprise & Strategic, bringing rigor and repeatability to pipeline reviews Lead and elevate the operating cadence — MBRs, QBRs, weekly forecast reviews — by synthesizing trends, surfacing risks and opportunities, and driving leadership to clear, timely decisions Shape the organizational foundation across the segments by recommending headcount, org design, quota structures, and book-of-business allocation — ensuring the business is set up to scale efficiently and equitably Build and maintain intelligence systems — dashboards, performance reports, and automated insights — that leverage AI to compress the time from data to action for sales and finance leadership Deploy AI tools and workflows to continuously improve operational processes: from pipeline analysis and forecasting accuracy to identifying patterns in rep performance and segment health that would be impossible to surface manually Partner cross-functionally with Sales Systems, Finance, and Data Science to uphold data quality and governance standards — ensuring the insights leadership relies on are trustworthy, timely, and actionable We'd love to hear from you if you have: 5+ years of sales operations experience, preferably in a high-growth SaaS environment Strong analytical and technical skills, with proven expertise in Salesforce, SQL and BI tools (specifically Sigma) Demonstrated experience leveraging AI tools to generate sales insights, including hands-on experience with Claude Code and Codex Strong communication skills with the ability to translate complex analysis into clear, actionable insights and deliver sophisticated models, spreadsheets, and executive presentations to senior leadership While not required, it’s an added plus if you also have: Deep SQL knowledge and experience with Sigma and Gong 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: $140,000 — $296,000 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: San Francisco; Seattle; New York City Workplace: Hybrid ABOUT MOTHERDUCK Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans. ABOUT THE ROLE We're hiring a growth marketer with a hacker brain to own the systems that make our growth engine run... lifecycle, marketing ops, and the data and automation underneath both. If you're the person who looks at a list of signups and immediately wonders what you could learn by enriching it, splitting it five ways, and testing a different nurture on each... we'd love to meet you. You'll build the segments, lists and audiences everything else depends on, hack and build growth agents, run Clay like a product you own, and use data to push our lifecycle programs 10x further than they are today. This isn't a role where you wait for a ticket. You'll spot the next enrichment worth testing, propose the workflow that saves the team ten hours a week, and ship it. Some folks call this kind of work go-to-market engineering. We think of it as lifecycle marketing with real technical chops. WHAT YOU'LL OWN Lifecycle marketing, the backbone - Become the team's expert on our audiences, and build the segments, lists and audiences that every email, campaign, webinar and nurture runs on - Design lifecycle programs across signup, activation, re-engagement and expansion, and test them relentlessly with real data - Use product usage and conversion patterns to decide who gets what message, when, and on which channel - Report honestly on what moved the number and what didn't... including your own tests Growth agents and Clay - Own Clay end to end. You're the person who pushes it forward, not someone who has access to it - Test new enrichments, scoring and signals, keep what works and kill what doesn't - Build growth agents and automated workflows that let a three-person team move like a much bigger one - Feed better audiences to Google, Meta, LinkedIn and email, in partnership with the performance marketer Marketing ops - Configure webinars and forms, and run the ops side of events: registration flows, segmentation, follow-up and handoff to sales - Keep our tools, data and routing clean so the team trusts what they see - Proactively propose improvements to how we work. If something's slow, manual or broken, we expect you to say so and fix it WHAT PEOPLE SHOULD BE SAYING IF YOU'RE DOING DUCKING AWESOME - "I didn't ask for that segment, but it's exactly what I needed for the campaign." - "Every audience I get from them converts better than the last one." - "The leads from the webinar showed up enriched, routed and ready to go. I didn't have to dig for anything." - "Wait, marketing built that agent? Can we borrow it?" - "Clay does things now nobody thought it could, and our lifecycle emails actually get replies." WHAT WE'RE LOOKING FOR - You want to hack and build growth agents. This is the heart of the role. You've used Claude Code, agents or similar tooling to automate real growth work, and you're itching to build more - A passion for understanding user groups. You want to be the expert on our audiences... who they are, how they behave, and how to segment them so every email and nurture lands with the right people - A systems brain. You see marketing as a set of inputs, workflows and feedback loops, and you love making them run better - Lifecycle experience with numbers attached. You've owned segments, nurtures or re-engagement programs and can tell us what they did to activation, pipeline or revenue - Proactive by default. You find the next test, enrichment or fix before anyone asks - High-growth company background, ideally somewhere with a technical or developer audience - Honest about results. You'll call out a losing test, including your own, as quickly as a winner - Clay experience, ideally a workflow you built and can walk us through - HubSpot experience at the workflow and data level - Comfortable pulling and analyzing your own data, SQL included - Webinar or event ops experience tied to pipeline - Familiarity with data practitioners or developers as an audience OUR INTERVIEW PROCESS We like to keep things transparent, so here's what to expect if you apply... 1. Discovery call with our recruiting team to get acquainted and make sure we're a mutual fit 2. A conversation with our Growth lead to learn about the systems you've built, how you think about audiences and segments, and what excites you about growth agents 3. A deeper conversation with our Growth team covering lifecycle strategy, how you'd test and measure a program, and a walkthrough of a workflow or agent you've built 4. A final conversation with our CEO focused on values and vision PLEASE APPLY Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified?  Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications. MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

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 UX Platform team aims to improve workflows in the Figma Ecosystem, with a focus on the user experience at the boundary of different features and products. Our goal is to make distinct features within the design editor feel more connected so that both new and experienced users can move as quickly as possible through their creative process. The team tackles complex core product and platform challenges with real revenue implications, shaping Figma’s product experiences across teams and impacting how millions of people design and build together every day. We build thoughtful, extensible UI patterns that help our product suite feel more familiar and intuitive. Given the reach of the features and experiences we build, we have an exceptionally high bar for product quality and craftsmanship. Most recently, the team has been focused on improving Agent-driven workflows in the design editor. 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: Manage and support a team of experienced engineers to build new features that better connect Figma’s multi-product ecosystem Champion a strong engineering culture rooted in inclusivity, velocity, and technical excellence Partner with product, design and engineering leadership to set strategy, priorities, and mission for teams and projects Work closely with cross-functional partners and other engineering teams to build and support a culture of doing great work together for our engineering team by investing in team culture, mentorship, and meaningful work Grow your career in a collaborative and creative engineering community We'd love to hear from you if you have: 2+ years of engineering management experience and leading a high output engineering team 6+ years of frontend or fullstack engineering experience Demonstrated leadership skills in building a high-performing and highly engaged engineering team; including a proven track record of motivating, mentoring, and guiding senior engineers Experience building product roadmaps with product, design, and data-science partners Proven success balancing technical quality work alongside feature development Strong written and verbal communication skills, especially in cross-functional settings While it’s not required, it’s an added plus if you also have: Success working in highly complex and ambiguous product spaces Experience shipping cross-product features and tools at high velocity Strong collaboration experience across engineering teams and organizations 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: $258,000 — $376,000 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: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. About the Role Fanatics Betting & Gaming is hiring a Manager, Strategy & Operations to work directly with VIP leadership on how we acquire, grow the loyalty of, and retain our highest-value customers. This is a strategy and operations role built around owning outcomes end to end: from the strategy itself through execution to the measurable results it drives. The person in this role will use AI and technology as core working tools to help build the experiences that make our top customers choose Fanatics, whether they're playing or trading, over any other option in the market. What you'll do Partner directly with VIP leadership to define and execute strategy for acquiring, growing the loyalty of, and retaining top-tier customers Run a variety of concurrent projects spanning analysis, strategy, partnerships, and hands-on build work, shifting between them as priorities shift Own outcomes end to end: from strategy design through execution through measurable results Learn the business inside and out, understand what actually drives our customers, and use that understanding to shape what gets built and why Use AI and technology as core working tools to build models, analyses, and workflows that improve how the VIP team identifies, engages, and serves high-value customers Work cross-functionally with Data, Product, Engineering, and Marketing to ship VIP initiatives Operate within a highly regulated environment, with sound judgment on responsible gaming considerations built into strategic and operational decisions Who you are 3-5 years of experience, with a technical or engineering-adjacent background AI-native: you use AI tools daily, not occasionally, and can point to something you personally built or shipped with them, along with a measurable outcome, not just a tool you used Comfortable with ambiguity, moving fast, and making calls with incomplete information in a high-growth environment Able to move fluidly across different types of work, analytical, operational, relationship-driven, technical, prioritizing across competing demands and following through to completion rather than moving on once the interesting part is done Able to drive outcomes across teams without formal authority, through persistence, relationship-building, and clear prioritization, not just by waiting for alignment Bias toward speed and execution: moves fast, removes blockers, and keeps initiatives moving even when the path isn't fully defined Data fluency: understands how our systems and data structures work, SQL or Python experience expected, not just reliance on AI to generate answers Excellent communicator who can work directly with senior leadership Demonstrated ability to scope a problem and strategy, not just execute a spec, including identifying what actually matters to the end user or business before building Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $107,000 — $133,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is hiring a People Business Partner to support managers and employees across Marketing, Finance, Legal, People, Talent, Workplace, and Executive Assistants. Reporting to the Lead People Business Partner for Business & G&A, you’ll be the primary People Business contact for these teams. This is a hands-on individual contributor role: one day you may coach an employee through a difficult conversation, and the next you may partner with a C-suite executive on a major reorganization. No task is too big or too small. You’ll build a sustainable network across employees, managers, and leaders so you deeply understand each team’s work, talent, and business goals. You’ll independently own the People Business agenda for this portfolio, including its most senior leaders: set priorities with them, shape consequential talent and organizational changes, and drive the work through implementation and results. WHAT YOU'LL DO - Own the People Business agenda for your portfolio. Build trusted relationships across employees, managers, and senior leaders; understand each team’s business goals, talent, and challenges; and set priorities that deliver results. - Improve how managers manage. Coach managers through performance, feedback, development, retention, and difficult talent decisions. Help employees prepare for difficult conversations, and partner with senior leaders to strengthen management across their teams. - Drive talent and organizational changes. Use firsthand context and people data to diagnose needs, align leaders on trade-offs, and lead work such as team redesign, leadership development or hiring, and new performance approaches through implementation and measurable results. - Own sensitive people matters. Manage intake, communication, and follow-through for employee relations, leave, accommodations, investigations, and other cases, partnering with People Operations, Legal, Immigration, and other specialists. - Lead performance, engagement, and compensation work. Guide teams through twice-yearly reviews and engagement cycles, including manager preparation, calibration, and follow-up. Advise leaders on cash and equity rewards through partnerships with the Compensation team. - Make the wider People Business team more effective. Identify recurring gaps, build reusable processes, guidance, or tools, drive adoption, and measure improvements in quality, consistency, or capacity. WHAT YOU NEED - A strong record of improving how managers manage, including direct coaching on performance, development, retention, and difficult talent decisions. Relevant experience may come from People Business Partner work, consulting, leadership development, or substantial management experience. - Sound talent judgment and independent ownership. You can earn senior-leader trust, set priorities across a broad portfolio, and drive consequential people and organizational changes through implementation with limited direction. - Good judgment in sensitive situations. You act decisively with incomplete information, communicate clearly, maintain confidentiality and documentation, and know when to involve specialists or escalate with a recommendation. - Strong analytical habits. You use people and business data alongside firsthand context to identify priorities, recommend practical action, and assess results. - A hands-on IC mindset. You enjoy detailed casework and direct employee and manager coaching alongside senior-leader partnership. If your background is outside HR, you can learn People policies and case processes quickly with coaching. NICE TO HAVE - Prior People Business Partner experience, including employee relations, compensation, and recurring performance and engagement cycles. - Experience in people consulting, performance coaching, or learning and development that includes direct work with managers and measurable talent outcomes. - Experience creating reusable manager guidance, case templates, or responsible AI and automation workflows that improve a People team’s effectiveness. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: United States Workplace: OnSite WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Are you energized by bridging the gap between frontier AI capability and complex customer reality? Do you want to architect high-performance, resilient machine learning systems directly inside strategic enterprise environments? We are looking for a Staff Forward Deployed Engineer (FDE) to join our team. The team is responsible for taking our large language models and making them work reliably, securely, and at peak performance within our customers' custom infrastructure and data perimeters. In this role, you will act as the principal technical translation layer between our core engineering teams and our strategic partners. You will own the architecture for highly ambiguous, customer-specific inference challenges—ranging from multi-tenant model serving to multi-datacenter disaster recovery and custom hardware validation. You will lead technical adoption end-to-end, ensuring our models achieve exceptionally low latency, high throughput, and seamless resilience in the field. As a Forward Deployed Engineer, you will: • Embed directly with customer engineering teams to architect the "connective tissue" between our AI models and their live, complex production environments. • Design advanced model serving topologies, implementing multi-tenant architectures, intelligent model routing, and cross-datacenter failover strategies for multi-cluster environments. • Optimize "AI-in-a-box" and private deployments, balancing localized SRE constraints like Kubernetes multi-cluster scale with raw model performance. • Conduct rigorous benchmarking and profiling of customer LLM workloads, root-causing performance degradation (e.g., slow generation) via metrics, dashboards, and distributed logs. • Accelerate hardware validation, collaborating with clients to run and support Cohere models on next-generation accelerators (GPUs, TPUs, AMD, and custom ASICs). • Translate complex field friction into platform upgrades, delivering prescriptive feedback and contributing directly back to core product features. • Ensure Day-1 production reliability, assisting customers in establishing sound deployment patterns, SLOs, and observability frameworks. You may be a good fit if you have: • 8+ years of engineering experience running production infrastructure, designing large-scale distributed systems, or deploying enterprise software in complex environments. • Deep technical depth in production Kubernetes, including orchestration across multi-cluster and hybrid/multi-cloud ecosystems (GCP, Azure, AWS, OCI). • Strong understanding of LLM architecture and inference dynamics, specifically how attention mechanisms, compute-bound prefill, and memory-bound decode phases dictate live performance. • Hands-on experience with modern inference engines and optimization stacks (e.g., vLLM, TensorRT-LLM, lmd, or Dynamo). • Familiarity with distributed serving techniques, such as prefill/decode disaggregated serving, distributed KV caching, and multi-GPU workloads. • Exceptional customer-facing technical leadership, with a proven track record of scoping highly ambiguous problems and steering executive technical stakeholders. • The high agency, grit, and adaptability to write same-day production code while managing client-side deployment politics or blockers. • Strong programming foundations in Python, Go, or C++, comfortable moving fluidly between backend data pipelines and infrastructure layer tuning. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As a Manager on the Commercial Account Management team, you will lead a team of Account Managers who serve as the dedicated, named partners for some of Ramp's fastest growing customers. Your team drives revenue through expansion, renewal and retention across a high-volume book of business, while delivering the white-glove experience of a trusted advisor. You will coach your team to uncover and close multi-product expansion opportunities and help sharpen a proven account management motion as the segment scales. What You'll Do - Lead, coach, and develop a team of Commercial Account Managers focused on expansion and retention across a scaled customer portfolio - Own team-level pipeline, forecasting, and revenue targets — driving accountability through clear metrics and performance frameworks - Develop and execute scalable upsell/cross-sell strategies and ensure the team maintains a robust, healthy expansion pipeline - Build a deep understanding of Ramp customer personas and instill a consultative, trusted-advisor approach across your team - Equip your team with sales methodologies to uncover customer needs and pain points effectively - Stay close to changes in Ramp's product and go-to-market motion, and translate those shifts into how your team sells, prioritizes, and talks to customers - Synthesize customer feedback from your team to inform Ramp's product roadmap and customer communication strategy - Partner cross-functionally with Sales, Marketing, Product, and Operations to continuously improve efficiency and advocate for your customers - Hire and onboard top talent as the team scales What You'll Need - Minimum 6 years of customer-facing or direct sales experience, with at least 2 years in a people management role - Proven track record of leading high-performing teams in a high-velocity sales environment - Experience with CRM tools (Salesforce preferred) and the ability to build and maintain team-level reporting and dashboards - Background in outbound prospecting, product demonstrations, and hands-on experience with sales tools and processes - Consultative sales mindset with strong analytical skills and the ability to coach others to engage with business challenges at a strategic level - Comfort engaging with and enabling your team to sell to C-level executives, finance teams, and key decision makers - Consistent track record of hitting or exceeding team-level sales targets with strong team distribution in a fast-paced, metrics-driven environment - Strong operational rigor — data-driven approach to tracking team performance and identifying coaching opportunities - Excellent verbal and written communication skills, with the ability to represent the team internally and externally - Strong organizational and project management skills, with the ability to manage competing priorities across a growing team - Entrepreneurial mindset: a self-starter who thrives in ambiguous, fast-moving environments and can build process where little exists NICE TO HAVES - Experience with financial services sales - Experience at a high-growth startup BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: 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 Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production. We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production. If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit. Key responsibilities Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves Design APIs and abstractions that work equally well for engineers and for AI agents Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback Build infrastructure-as-code workflows that many teams rely on for safe, routine changes Scale artifact distribution so code and configuration reach machines quickly and efficiently Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring Minimum qualifications Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP Strong written and verbal communication skills Preferred qualifications Experience building deployment, release, or change management systems at large scale Experience with production on-call and incident response Experience with Rust in production Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts Deep knowledge of Kubernetes, including controllers and operators Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking Experience building feature flag, experimentation, or dynamic configuration systems Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage Experience with software supply chain security, such as signed build provenance Experience building high-throughput workflow engines or control planes backed by relational databases Experience building internal developer platforms and leading adoption across many teams Experience using AI agents in your own engineering work, or building systems that agents operate Representative projects Build operator controls for progressive rollouts, including pause and resume that preserve rollout state Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to Build cluster-health-aware rollouts that steer around unhealthy clusters Add a new workload type to the platform, including its rollout, verification, and rollback behavior Design a deployment control plane that handles sharp bursts of agent-driven traffic Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows 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: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. As an Engineering Manager, Client Services at Fanatics Betting & Gaming (FBG), you’ll lead engineers within the Sportsbook Client team—an innovative, culturally driven group powering the rapidly growing Fanatics Sportsbook app. The team owns the core customer experience, from showcasing markets, events, and player statistics to rendering highly dynamic, real-time data. Together, we build features that elevate performance, usability, and engagement, driving customer loyalty through an exceptional user experience. You are expected to partner with product and design leadership to shape strategy, optimize engineering processes, remove blockers, and foster a culture of accountability, continuous improvement, and technical excellence. You play a key role in growing engineering talent, driving delivery rigor, and ensuring your team consistently executes against business commitments. We embrace principles of data-driven development, operational excellence, and continuous process optimization to deliver a stable, scalable platform. Central to our strategy is Kotlin, and Kotlin Multiplatform, which empowers us to deliver high-quality features quickly and consistently across multiple ecosystems. By focusing on object-oriented design, modern coding practices, open-source frameworks, and third-party platform integrations, we continuously innovate and deliver at speed in this exciting and fast-moving market. Responsibilities Hire, retain, and develop strong engineers, providing regular actionable feedback, coaching, and clear career growth plans. Lead team execution and delivery planning, ensuring clear ownership, proactive risk management, and consistent velocity against business commitments. Partner closely with product, design, and technical leadership to prioritize work, align team roadmaps with business strategy, and balance feature delivery with technical debt. Establish team norms, rituals, and operational rhythms that support high performance, psychological safety, continuous learning, and effective cross-team collaboration. Guide architectural decisions and technical quality standards on the team, acting as a technical soundboard and player-coach without needing to be the primary author of design specs or code. Drive operational health, system reliability, and observability for team-owned services and client applications, including participating in incident escalation management and post-incident reviews. Optimize sprint planning, grooming, story pointing, and retrospectives to scale practices and improve delivery metrics across client engineering initiatives. Guide teams in operational best practices, actively raising the bar for observability, reliability, and system resilience. Design, stress-test, and refine systems for maintainability. Improve the team's processes and response rhythms for handling high-pressure situations, scope changes, or production incidents, fostering an environment of composure and continuous learning. Develop, test, document, and deploy high quality software into production. Develop a fundamental understanding of our industry, product, feature set and roadmap. Work closely with our product team, design, and other internal stakeholders to make technology decisions that grow and improve our products. Participate in an on-call rotation to address urgent issues outside business hours and contribute to app enhancements and operational efficiency (OE) by troubleshooting and resolving application-related problems. Escalate when tasks or projects hit roadblocks. Be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team-building activities. Experience and Skills 7+ years of software engineering experience with 2+ years of direct engineering management or technical leadership experience managing software engineers. Demonstrated experience hiring, mentoring, and growing engineering talent, building high-performing, inclusive teams. Strong technical foundation in mobile or client-service systems, with sufficient architectural depth to evaluate designs, guide trade-offs, and support engineering best practices. Proven track record of managing delivery plans, unblocking engineers, and driving operational rigor and quality in an Agile/Scrum environment. Team-first mentality, with a willingness to do what it takes to get the job done and a desire to strive for better. Able to effectively communicate complex technical subjects to a variety of audiences (engineers, technical leaders, marketing and operations teams, non-technical functional leaders). Familiar with Agile software product delivery and SCRUM methodology. Thrives in a high-growth environment where priorities evolve regularly and decisions are made quickly. Able to effectively work cross-functionally within an enterprise environment. A Bachelor’s degree, or professional certification, or a combination of education and experience Preferred Qualifications Experience designing and building backend services using Spring Boot or similar Java frameworks Experience working in large-scale distributed systems and event-driven architectures Exposure to cloud infrastructure (e.g., AWS, GCP), CI/CD pipelines, and observability tools Familiarity with functional programming paradigms and actor-based concurrency frameworks like Apache Pekko (or Akka). If you possess some of these qualifications but not all of them, we still encourage you to apply! Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $144,400 — $237,500 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Machine Learning Engineer, Customer Memory. About the job This position is needed to build and scale the pipelines that turn raw conversation data into structured, searchable customer memory, and the evaluation systems that keep that memory accurate as the product evolves. You'll join the Conversation Memory team, which builds the memory layer behind Twilio's Conversational AI platform: the systems that extract what matters from millions of conversations, resolve it to the right customer, and retrieve it in milliseconds when an agent needs it. Memory that is wrong, stale, or crossed between customers is worse than no memory at all, so quality measurement is a first-class part of the work. Responsibilities In this role, you’ll: Build the extraction pipeline that turns raw data into structured memory, tuning the LLM prompts and schemas that decide what an AI agent remembers about a customer and what it forgets. Own the retrieval path that answers "what do we know about this person?" in milliseconds, working with embeddings, vector search, and ranking Contribute to the eval systems that tell us whether memory is actually getting better, turning a fuzzy question of quality into benchmarks and regression gates that run before every change ships. Diagnose production issues across the ingestion, extraction, and indexing path using logs, metrics, and traces. Partner with Product and ML teams to translate customer problems into system changes and evaluation criteria. 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: Experience building backend services, and a demonstrated ability to pick up new languages, frameworks, and tools as the problem demands. A curious approach to service management: ability to investigate how systems actually behave in production, and desire to continuously learn how to operate them with rigor and accountability. Experience building or working with evaluation/quality-measurement systems, such as regression detection or quality metrics, or the desire to learn. Solid grounding in observability practices: structured logging, metrics, and using them to debug distributed systems in production. Fluency with AI-assisted dev tools (e.g. agents for code generation, review, debugging), applied with deliberate direction and critical thinking. Desired: Experience with Go and/or Python. Experience with event-streaming systems (e.g. Kafka). Experience building LLM-backed products. Practical experience applying ML, e.g. building, evaluating, or productionizing models. Location This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas. 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. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $128,560 - $160,700 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $136,000 - $170,000. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information Applications for this role are intended to be accepted until November 13, 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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: $350,000 to $500,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 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: Remote; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle We’re looking for a Senior HR Generalist to own the day-to-day of Runway’s HR function and shape how it scales. You’ll run core programs end to end, advise managers and employees on sensitive situations, unblock teams so they can move faster and build the processes that keep a fast-growing team compliant and well supported. You’ll work directly with the HR Manager as a strategic partner, and you’ll have the autonomy to make decisions, set priorities and fix what’s broken without waiting to be asked. WHAT YOU’LL DO - Own the employee lifecycle from onboarding through offboarding for full-time employees and contractors, and keep improving the process as the team grows - Own HRIS administration and data integrity in Rippling, including reporting, audits and workflow automation - Manage employee visa and immigration processes in partnership with outside counsel - Oversee leave administration and accommodations across jurisdictions, and keep policies and practices compliant with current employment law - Run key programs end to end with the HR Manager, including performance reviews, open enrollment, engagement surveys and compensation cycles - Act as the go-to resource for employees and managers on benefits, policies and HR processes - Identify gaps in HR operations and ship fixes: updated policies, clearer documentation and more efficient tooling - Pitch in wherever the team needs; no task is too small if it moves things forward WHAT YOU’LL NEED - 5+ years of experience in an HR Generalist or people operations role at a high-growth company - Deep working knowledge of benefits, leave administration, immigration basics and employment law across multiple states - Experience running company-wide programs such as performance cycles, open enrollment and engagement surveys - Strong HRIS skills, with Rippling experience a strong plus - Clear written and verbal communication, and the credibility to advise managers and senior leaders - Comfort operating independently in a fast-paced, ambiguous environment - Exceptional organization and attention to detail - A high ownership mindset and a team-first attitude Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024