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Location: Rio de Janeiro, Rio De Janeiro, Brazil Video Editor (Brazil) Marekting· Full-time · Remote (Brazil) · Hours 9am - 5pm EST About Nysonian Nysonian builds the next generation of global lifestyle brands, shaping how people travel, move, and live. We go beyond creating great products to build experiences that elevate everyday life and empower people around the world. Our Fast-Growing Portfolio Includes: NOBL Travel — redefining modern travel with design, durability, and performance FLO Pilates — bringing Pilates into homes and wardrobes globally Core Values: Winners’ Mindset | Speed with Purpose | Thoughtful Innovation | Genuineness | No Ego, Full Ownership Important Information To be considered for this job, in addition to applying, you must complete the form below. Any candidate who does not complete the form will be immediately disqualified. Complete the Candidate Form The Opportunity We are looking for a Video Editor to create high-performing paid social video ads for Nysonian's brands. You'll work with raw footage and transform it into compelling, performance-driven ads optimized for platforms like Meta, TikTok, and YouTube. This role is focused almost entirely on editing performance marketing creative that drives purchases, improves ad performance, and helps scale spend. This is more than a traditional editing role. Your creative work will have a direct and measurable impact on business performance, with significant opportunities for growth, ownership, and additional earnings based on the performance of the ads you create. What You'll Own Edit and produce high-quality video assets across social media, paid ads, websites, and campaign initiatives. Craft compelling narratives with strong hooks, pacing, and platform-optimized storytelling techniques. Transform UGC, influencer content, and brand footage into polished, performance-driven deliverables. Integrate motion graphics, captions, music, and sound design to elevate overall content quality and engagement. Convert long-form content into high-performing short-form formats, including TikTok, Reels, and YouTube Shorts. Partner with designers, copywriters, and strategists to ensure alignment with brand and campaign objectives. Manage multiple projects with fast turnaround times while maintaining strict adherence to brand standards and evolving platform best practices. Analyze creative performance and use data, testing, and learnings to continuously improve future ads. Skills & Qualifications Bachelor's degree in Media, Film, Communications, or a related field (preferred). 2–4 years of video editing experience in fast-paced environments such as agency, DTC, or E-Commerce. Advanced skills in editing tools including Adobe Premiere Pro, After Effects, Final Cut Pro, or equivalent platforms. Exposure to AI-driven video tools such as Runway ML or similar platforms to enhance creative production and efficiency. Strong understanding of content formats and performance dynamics across TikTok, Instagram, YouTube, and Meta. Ability to edit with a focus on storytelling and marketing outcomes, including CTR, engagement, conversion, and ROAS. Experience in motion graphics, basic animation, sound design, and a strong portfolio demonstrating high-quality, high-performing content. Skilled storyteller with a sharp eye for detail and a strong understanding of current creative trends. Able to thrive under tight deadlines in a high-growth environment. Team-oriented yet independent, with a data-driven mindset and a desire to test, optimize, and improve creative performance. Performance-Based Bonuses & Growth At Nysonian, high performance is rewarded. Your bonus is tied to the objective performance of the ad creatives you produce. The better your creativity performs, the greater your opportunity to earn. Depending on your salary level and performance, editors can have the opportunity to earn 50–150%+ of their base salary in performance bonuses. What This Means Performance-based bonuses tied to the measurable performance of your ad creatives. Potential for significant quarterly bonus payouts. The opportunity to earn 50–150%+ of base salary in bonuses, depending on compensation level and performance. Higher-salaried editors may have a lower bonus percentage while still having substantial earning potential. A clear opportunity for career growth, increased ownership, and greater earning potential as your creative performance improves. The chance to work directly on creative that influences revenue and helps scale some of the fastest-growing DTC brands. If you consistently produce ads that win, your growth and earning potential can grow with them. Why You'll Love Working at Nysonian Culture We're founder-led and operate with speed, direct communication, and clear accountability We invest in tools and management practices that help colleagues do their best work Our products are used by customers globally AI is intentionally embedded in how we work, create, and scale Senior leaders are expected to create structure, make decisions, and stay close to execution Growth & Development Competitive pay and meaningful opportunities for performance-based advancement Ownership of strategy, systems, execution, and team buildout within your function Opportunity to build and scale a meaningful part of the business across two consumer brands Scope and compensation growth tied to performance, role expansion, and measurable business impact We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, sex, religion, gender, marital status, national origin, genetics, disability, age, veteran status or other characteristics.

Location: Singapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania Workplace: Remote Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones) Start Date: ASAP Languages: English Team: Engineering ABOUT THE ROLE Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand. We are looking for a Research Engineer, Privacy and Anonymization to build the systems that make sensitive, real-world data safe and still useful for AI training. You will develop methods to detect and remove personally identifiable information, secrets and other sensitive content from raw data before it enters processing and synthetic data pipelines — protecting privacy without destroying the structure and signal that make the data valuable for training agents. This is a privacy and data-protection engineering seat, not a synthetic-task design role. You will own the pipeline that stands in front of downstream processing, training, evaluation and synthetic generation. This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring. WHAT YOU'LL DO - Build systems to detect PII, quasi-identifiers, credentials and other sensitive information, and design transformations based on the data type and the downstream use case. - Develop and benchmark detection approaches that combine rules, statistical models, classifiers and LLM-based methods. - Build production pipelines that anonymize raw data before it enters downstream processing, training, evaluation or synthetic data generation. - Create evaluation frameworks that measure privacy risk and retained data utility, including recall-weighted metrics, leakage tests and adversarial re-identification attempts. - Design systems that stay robust to new data sources, schema drift, unusual formats and sensitive information embedded in unexpected fields. - Work with engineering, research, operations and customers to translate privacy requirements into practical technical policies and safeguards. WHAT WE'RE LOOKING FOR - Strong proficiency in Python, and experience building reliable production data or machine-learning systems. - Experience with information extraction, named-entity recognition, classification, or related methods for detecting rare or sensitive content. - Strong experimental instincts, and the ability to compare approaches across recall, precision, latency, cost and downstream data utility. - An understanding of the difference between redaction, masking, pseudonymization, anonymization and synthetic data — and when each is appropriate. - High attention to detail, and the ability to reason about subtle leakage paths, edge cases and adversarial failure modes. - Experience building data-processing pipelines end to end, including where there was no fully prescribed roadmap. - Clear written and spoken English, and comfort collaborating across teams and time zones. - Strong candidates may also have hands-on experience with privacy-enhancing technologies (such as differential privacy, k-anonymity, secure aggregation or format-preserving encryption); have worked with sensitive data in healthcare, finance or security; have built low-latency or high-throughput ML inference or data-processing systems; or have taken work from early research through to production. - Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above. WHY THIS ROLE MATTERS FOR YOU - Make real-world data safe to train on: You will build the systems that let sensitive data be used for AI training without exposing people or secrets. - Privacy without wrecking utility: The job is not only to redact, but to keep the structure and signal that downstream training and synthetic pipelines need. - From detection to production: You will own the full path: detection methods, transformations, evaluation, and the pipeline that sits in front of training and generation. - Hard, high-stakes edge cases: Work on leakage paths, schema drift and adversarial failure modes, not only clean benchmark datasets. - San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring. Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: United States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico Workplace: Remote Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones) Start Date: ASAP Languages: English Team: Engineering ABOUT THE ROLE Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand. We are looking for a Research Engineer, Privacy and Anonymization to build the systems that make sensitive, real-world data safe and still useful for AI training. You will develop methods to detect and remove personally identifiable information, secrets and other sensitive content from raw data before it enters processing and synthetic data pipelines — protecting privacy without destroying the structure and signal that make the data valuable for training agents. This is a privacy and data-protection engineering seat, not a synthetic-task design role. You will own the pipeline that stands in front of downstream processing, training, evaluation and synthetic generation. This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring. WHAT YOU'LL DO - Build systems to detect PII, quasi-identifiers, credentials and other sensitive information, and design transformations based on the data type and the downstream use case. - Develop and benchmark detection approaches that combine rules, statistical models, classifiers and LLM-based methods. - Build production pipelines that anonymize raw data before it enters downstream processing, training, evaluation or synthetic data generation. - Create evaluation frameworks that measure privacy risk and retained data utility, including recall-weighted metrics, leakage tests and adversarial re-identification attempts. - Design systems that stay robust to new data sources, schema drift, unusual formats and sensitive information embedded in unexpected fields. - Work with engineering, research, operations and customers to translate privacy requirements into practical technical policies and safeguards. WHAT WE'RE LOOKING FOR - Strong proficiency in Python, and experience building reliable production data or machine-learning systems. - Experience with information extraction, named-entity recognition, classification, or related methods for detecting rare or sensitive content. - Strong experimental instincts, and the ability to compare approaches across recall, precision, latency, cost and downstream data utility. - An understanding of the difference between redaction, masking, pseudonymization, anonymization and synthetic data — and when each is appropriate. - High attention to detail, and the ability to reason about subtle leakage paths, edge cases and adversarial failure modes. - Experience building data-processing pipelines end to end, including where there was no fully prescribed roadmap. - Clear written and spoken English, and comfort collaborating across teams and time zones. - Strong candidates may also have hands-on experience with privacy-enhancing technologies (such as differential privacy, k-anonymity, secure aggregation or format-preserving encryption); have worked with sensitive data in healthcare, finance or security; have built low-latency or high-throughput ML inference or data-processing systems; or have taken work from early research through to production. - Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above. WHY THIS ROLE MATTERS FOR YOU - Make real-world data safe to train on: You will build the systems that let sensitive data be used for AI training without exposing people or secrets. - Privacy without wrecking utility: The job is not only to redact, but to keep the structure and signal that downstream training and synthetic pipelines need. - From detection to production: You will own the full path: detection methods, transformations, evaluation, and the pipeline that sits in front of training and generation. - Hard, high-stakes edge cases: Work on leakage paths, schema drift and adversarial failure modes, not only clean benchmark datasets. - San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring. Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

-5-6+ years of software engineering experience with strong hands-on Python, FastAPI, PostgreSQL DB, and microservices. -Strong experience designing AI architecture and building scalable production AI systems using LangChain/LangGraf, RAG, embeddings, reranking, and multi-agent workflows.

Location: New York City, NY Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible-first workforce. Don't live near our New York office? No worries: you can work remotely from anywhere on the US East Coast (Eastern Time). The Ads Foundational Representations (AFR) team develops signals and representations of Reddit’s core entities (ads, posts, users, and so on), capturing the semantic, contextual, and behavioral information that Reddit Ads needs. We work on building embeddings to understand content and users' interests based on the content they engage with. Our team has the potential to highlight one of Reddit's biggest differentiators: genuinely curated, high-quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus on the following areas: Multimodal & Content Embeddings - Make sense of organic (posts, comments, subreddits) and promoted (ads, shopping products, their landing pages) text and media content by embedding them into a shared space. Contextual and Behavioral Relevance - Working with Product & Data Science, establishing definitions of what ads are relevant to users and the content we show them next to, building metrics and fine-tuning embeddings to better reflect relevance. Knowledge Graph Embeddings - Building representations for the Knowledge graph entities, e.g., intellectual properties/brands, to be used for high-precision targeting & business insights. User Intent Modeling - Leveraging various techniques to introduce user representations based on the content they interact with: batch & real-time sequence modeling, LLM summarization, etc. LLM-based Representations - Leveraging LLMs, VLMs, and foundational models to build complex representations of Reddit entities that improve ranking outcomes The signals and features we create become a key piece in the Ads Delivery funnel, from targeting to the auction, as well as the Business Insights product and other advertiser-facing products such as Creative generation and optimization. As a Staff ML Engineer , you’ll be in charge of setting the technical direction of multiple pillars the team owns. You will lead cross-functional ML projects end to end - from high-level business gap analysis to engineering execution. Roughly 50% of your time will be spent on technical leadership and mentorship (driving strategy & designs, cross-functional collaboration, raising the quality bar), another 50% being individual hands-on work (data analysis & engineering, modeling & automation). Responsibilities Providing technical leadership and mentorship to MLEs in the team: driving designs & their review, establishing best practices in analysis, modeling and engineering, keeping the bar high. Working closely with team/org leadership developing technical strategy for content-based embeddings & relevance for Ads. Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models. Working with local and 3rd-party LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings. Building data processing and inference pipelines for the models we develop. Qualitative and quantitative evaluation of the various features we develop, end-to-end experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments. Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management. Participating in modeling and coding reviews: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance. Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions. Required Qualifications: 7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models. Demonstrated Staff-level technical leadership: mentoring engineers, driving standards and bar raising, leading complex cross-functional projects: from requirements, design to cross-team/functional alignment and execution without direct people-management authority. Excellent communication skills, with the ability to translate complex technical concepts to different audiences, both verbally and in writing. Strong track record of working on content rich NLP/CV problems at scale, and using embeddings as a tool to solve them. Established data-driven approach for ML system development. Excitement about working with data and readiness to look behind the metric numbers. Familiarity with the Ads domain and/or Search/Recommender systems. Experience with mainstream DL frameworks: PyTorch or TensorFlow. Preferred Qualifications: Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP) Tech leadership experience: mentoring junior engineers and leading complex projects. Hands-on experience with using/fine-tuning/building LLMs. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: London; United States; New York; United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenLabs moves fast - by design. We run lean, we bias toward action, and we trust our people to figure things out. That's how we've built world-leading AI products in three years with a fraction of the headcount of our peers. But speed at 200 people and speed at 1,000+ people are different challenges, and the systems, habits, and connective tissue that let a company move fast without breaking things don't build themselves. As our Company Operations Lead, you'll own the infrastructure that lets ElevenLabs keep its velocity as it scales. Not by adding process for process's sake - but by building the right systems, in the right places, at the right time, so that the rest of the company can focus on what they do best. You'll establish the operating layer that keeps a 50-country, hybrid organization coherent; drive the strategic planning cadence that keeps leadership aligned; and deploy a lean team of strategic generalists against the company's most urgent cross-functional challenges. You’ll be responsible for: - Operating Cadence: Running the planning and alignment cycles that keep the company pointed in the right direction. This includes OKR planning, workforce, and headcount planning. - Operating System: Building and maintaining the infrastructure layer that lets the company move faster. Systems of record, org taxonomy and governance, and the knowledge management systems that ensure information flow effectively across our remote-first team. - AI Enablement & Agentification: Ensuring every team at ElevenLabs has the tools, access, and knowledge to work effectively with AI. You'll own the internal AI enablement framework - managing tool access and rollout, identifying where agents and automation can accelerate how functions operate, and building the learning opportunities and champions programmes that drive deep adoption. You'll work closely with Security, IT, and the Automations team to ensure what gets built is built right. - Operations Centre of Excellence: Defining what great operations looks like at ElevenLabs and embedding it across the company. You'll set the blueprint that makes operational excellence repeatable and deploy the team as embedded operators inside other functions, standing up best practices, up-skilling teams, and handing off cleanly once the work is done. REQUIREMENTS We do not require formal experience, certifications, or degrees. We do require: - Proven experience building and leading a Strategy & Operations or BizOps function at a high-growth technology company - ideally through a meaningful scaling inflection (Series B–D trajectory or equivalent). - Track record of standing up functions and systems from scratch and handing them off, rather than owning a permanent queue. - Structured problem-solving background - strategy consulting, a BizOps or Chief of Staff seat with genuine strategic scope, or an operator role that required both systems-building and executive influence. - Strong AI and tooling fluency - you should be pushing the organisation on what's possible with AI enablement, not chasing it. - Exceptional stakeholder management: you can partner with founders and Leads and earn trust quickly in a flat, high-velocity environment. Bonus: - Experience inside a company that scaled through a 200 → 2,000+ person inflection. - Background that spans both consulting and operator roles - you've done the thinking and the building. - Familiarity with knowledge management, AI agentification, or internal tooling as an operational discipline. LOCATION This role is remote. London or New York preferred. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: New York, United States Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Role The Business Development Specialist is a senior “hunter” role focused on driving net new revenue within the western region of the United States, specifically the pacific northwest, across industry sectors. This individual will be responsible for originating new enterprise clients and expanding into new buying centers within existing strategic accounts. The focus is on building and converting a pipeline for Data, AI, Cloud, Engineering, and Consulting services. This is a front-end, high-impact role for a proactive, commercially savvy professional that can navigate complex sales cycles with senior stakeholders across business, technology, data, and digital transformation functions. Work Type: Remote Location: preferably New York City or the tri-state area What You’ll Do New Client Acquisition: Identify and pursue new enterprise clients across industry segments Use market intelligence to prioritize high-value targets aligned with Exadel’s offerings in data, modernization, AI, digital platforms, and managed services Strategic Prospecting & Qualification: Focus on “winnable” opportunities by assessing client maturity, timing, budgets, and mutual fit Qualify large deals with clarity on use cases (eg., trade processing, regulatory reporting, data platforms, automation, digital channels) Opportunity Origination & Stakeholder Engagement: Map and engage decision-makers, including CTOs, CIOs, Heads of Business Units, CDOs, COOs, Technology Leaders, and Procurement Initiate discovery conversations centered around revenue growth, operational efficiency, risk management, data automation, or platform modernization Domain-Based Value Positioning: Demonstrate understanding of advisory, data and engineering services and positioning of various engagement models, ranging from embedded specialists to fully managed teams Craft compelling value narratives tailored to capital markets buyers Sales Process Ownership: Own the full business development lifecycle from lead generation through proposal, negotiation, and closure Maintain high discipline in CRM management for all pipeline and forecasting activities Collaboration & Solution Alignment: Work closely with solution architects and delivery leads to co-create proposals and pitches aligned to client needs and budgets Coordinate with marketing on industry events, thought leadership, and account-based campaigns Forecasting & Revenue Accountability: Build and manage a weighted pipeline with clear monthly, quarterly and annual revenue targets Deliver accurate forecasts based on deal velocity, qualification, and probability Market & Brand Positioning: Represent the company at industry forums, capital markets conferences, and networking events Strengthen the company's perception as a strategic partner to financial institutions What You Bring Experience in a hunter-focused Business Development or Sales role within consulting and or engineering services Proven track record of winning large consulting or engineering services deals ($1M+ TCV) Existing network and relationships with decision-makers Strong understanding of: Data platforms, advanced analytics, machine learning and generative AI Engineering services Cloud architecture, native cloud software development, and legacy system cloud migration Modern software design and development practices Experience selling to technology, operations, digital, or line-of-business leaders Comfortable engaging C-level and MD-level leaders as well as mid-level technology buyers Demonstrated ability to generate pipeline independently through research, networking, referrals, and outbound tactics Strong revenue forecasting, commercial negotiation, and presentation capabilities Nice to Have Bachelor’s degree in a relevant field MBA or advanced degree in business/technology preferred English Level Professional fluency Legal & Hiring Information Compensation Transparency: The expected compensation range for this role is $120-140k USD, with eligibility for commission, bonus, or other incentive compensation where applicable. Actual compensation will be determined based on experience, skills, qualifications, geographic location within the United States, and business needs. Location Eligibility: This role is open to candidates residing in the United States. Experience Requirements: We welcome applicants with relevant experience regardless of where it was obtained. US work experience is not required. Use of Artificial Intelligence in Hiring: We may use automated tools or artificial intelligence systems to support the screening, assessment, or selection of applicants as part of our hiring process. Benefits Summary: US-based employees are eligible to participate in Exadel’s benefits programs, which may include comprehensive health, dental, and vision coverage; life and disability insurance; retirement savings programs; paid time off; paid holidays; and other wellness or voluntary benefit programs, subject to plan terms and eligibility requirements. Equal Employment Opportunity: Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, status as a protected veteran, or any other protected characteristic under applicable federal, state, and local laws. Accessibility and Accommodation: We are committed to providing accommodations throughout the recruitment process in accordance with the Americans with Disabilities Act (ADA) and other applicable federal, state, and local accessibility laws. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. If you require accommodation at any stage of the hiring process, please contact us. Data Privacy Notice: For applicants residing in California, please note that personal data collected during the application process is subject to the California Consumer Privacy Act (CCPA) and will be processed in accordance with our applicant privacy notice. Disclaimer: Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. The offer is not binding until a signed contract is in place. Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Москва Workplace: Комбинированный Мы — команда, которая строит и развивает LLM-агентов для поддержки пользователей и внутренних бизнес-процессов. Делаем решения под ключ: от прототипов и экспериментов до промышленных сервисов с мониторингом качества, метриками и стабильной эксплуатацией. Работаем на стыке ML/LLM и backend-разработки: проектируем пайплайны, интегрируемся с продуктами и инфраструктурой, строим RAG-системы и агентные сценарии, измеряем качество (precision/recall/F1, macro-F1), ведём эксперименты и улучшаем модели на данных. Используем Python, LangGraph/LangChain-подходы, Langfuse для наблюдаемости, Git и внутренние платформы хранения/обработки данных (в том числе YTsaurus), а также очереди и хранилища (Kafka/Redis). Задачи Разрабатывать и развивать LLM-агентов: сценарии, инструменты (tools), оркестрацию, память, маршрутизацию, обработку ошибок и fallback-логики Проектировать и внедрять RAG: индексация, эмбеддинги, ретриверы, ранжирование, чанкинг, оценка качества поиска и ответа Интегрировать агентные решения в прод: сервисы, API, взаимодействие с Kafka/Redis и другими компонентами инфраструктуры Настраивать наблюдаемость и контроль качества: логирование/трейсинг, Langfuse, дашборды, алерты, анализ деградаций Проводить офлайн/онлайн-оценку качества: считать precision/recall/F1/F1-macro, строить датасеты, проводить A/B или квазиэксперименты, формулировать гипотезы улучшений Участвовать в улучшении пайплайнов данных и экспериментов: подготовка данных, разметка/валидация, хранение и воспроизводимость Писать поддерживаемый код: ревью, тесты, документация, CI/CD, участие в архитектурных решениях Требования Уверенный Python (проектирование модулей, типизация, тестирование, работа с API/сервисами) Практический опыт работы с LLM/agentic-подходами: промптинг, tool calling, цепочки/графы, управление контекстом, обработка галлюцинаций и ограничений моделей Понимание и опыт оценки качества: precision/recall/F1, macro-F1, построение датасетов и интерпретация метрик Опыт построения или внедрения RAG (retrieval, embeddings, индексация, ранжирование, чанкинг, оценка retrieval-качества) Опыт разработки и эксплуатации сервисов: REST/gRPC, асинхронность, логирование, мониторинг, работа с Git Понимание очередей/кешей/хранилищ (Kafka, Redis или аналоги), опыт интеграций Будет плюсом Опыт с LangGraph/LangChain, Langfuse (трейсинг, промпт-менеджмент, датасеты, evaluation) Опыт с YTsaurus или другими распределёнными системами хранения/обработки данных Опыт low-code/конструкторов пайплайнов и быстрых прототипов, доведение их до production Знание подходов к ранжированию, rerank, hybrid search, query rewriting, guardrails/safety Опыт A/B-тестов, построения продуктовых метрик и причинно-следственного анализа Опыт работы с контейнеризацией и деплоем (Docker/K8s), CI/CD

Location: Paris, France; London, United Kingdom; Lisbon, Portugal; Milan, Italy; Rome, Italy; Berlin, Germany; Athens, Greece; Barcelona, Spain; Bari, Italy; Split, Croatia; Copenhagen, Denmark; Oslo, Norway; Tallinn, Estonia; Lima, Peru; Limassol, Cyprus; Budapest, Hungary; Florence, Italy; Amsterdam, Netherlands; Stockholm, Sweden; Warsaw, Poland; Kraków, Poland; Lublin, Poland; Opole, Poland; A Coruña, Spain; Aachen, Germany; Aalborg, Denmark; Aarhus, Denmark; Aberdeen, United Kingdom; Alanya, Türkiye; Algarve, Portugal; Loulé, Portugal; Alicante, Spain; Andijan, Uzbekistan; Amstetten, Austria; Ankara, Türkiye; Almería, Spain; Antalya, Türkiye; Antipolo, Philippines; Ariana, Tunisia; Aracaju, Brazil; Antwerp, Belgium; Arequipa, Peru; Asenovgrad, Bulgaria; Ashgabat, Turkmenistan; Asunción, Paraguay; Auckland, New Zealand; Augsburg, Germany; Austin, United States; Amadora, Portugal; Almaty, Kazakhstan; Alajuela, Costa Rica; Badajoz, Spain; Badgastein, Austria; Bamberg, Germany; Basel, Switzerland; Batumi, Georgia; Batam, Indonesia; Bedford, United Kingdom; Belgrade, Serbia; Bengaluru, India; Bern, Switzerland; Birmingham, United Kingdom; Bordeaux, France; Bologna, Italy; Braga, Portugal; Brașov, Romania; Bray, Ireland; Brixen, Italy; Seoul, South Korea; Bydgoszcz, Poland; Caen, France; Čačak, Serbia; Caieiras, Brazil; Cairo, Egypt; Campinas, Brazil; Carapicuiba, Brazil; Capiatá, Paraguay; Cascais, Portugal; Catania, Italy; Cebu City, Philippines; Celje, Slovenia; Cardiff, United Kingdom; České Budějovice, Czechia; Chelyabinsk, Russia; Chiclayo, Peru; Chișinău, Moldova; Christchurch, New Zealand; Cookstown, United Kingdom; Conlig, United Kingdom; Córdoba, Argentina; Cork, Ireland; Cotia, Brazil; Craiova, Romania; Crete, Greece; Cusco, Peru; Daegu, South Korea; Damascus, Syria; Darmstadt, Germany; Debrecen, Hungary; Derby, United Kingdom; Dubai, United Arab Emirates; Dublin, Ireland; Düsseldorf, Germany; Edirne, Türkiye; Edinburgh, United Kingdom; Eindhoven, Netherlands; Eisenstadt, Austria; Essen, Germany; Faro, Portugal; Frankfurt, Germany; Fortaleza, Brazil; Freiburg, Germany; Gdańsk, Poland; Gebele, Azerbaijan; Gaziantep, Türkiye; Ganja, Azerbaijan; Geneva, Switzerland; George Town, Malaysia; Gothenburg, Sweden; Goiânia, Brazil; Glasgow, United Kingdom; Graz, Austria; Girona, Spain; Gurugram, India; Gyumri, Armenia; Hamilton, New Zealand; Haiphong, Vietnam; Hamburg, Germany; Île-de-France, France; Innsbruck, Austria; Ingolstadt, Germany; Johannesburg, South Africa; Kandy, Sri Lanka; Kano, Nigeria; Karpacz, Poland; Kardzali, Bulgaria; Karachi, Pakistan; Kaunas, Lithuania; Katowice, Poland; Kerpen, Germany; Khon Kaen, Thailand; Kičevo, North Macedonia; Klagenfurt am Wörthersee, Austria; Konak, Türkiye; Klang, Malaysia; Konya, Türkiye; Kraljevo, Serbia; Kragujevac, Serbia; Krasnoyarsk, Russia; Krasnodar, Russia; Krushevo, North Macedonia; Ksamil, Albania; Kyiv, Ukraine; Kumanovo, North Macedonia; Kufstein, Austria; Kutaisi, Georgia; Kyustendil, Bulgaria; La Chorrera, Panama; La Plata, Argentina; Larissa, Greece; Larnaca, Cyprus; Lankaran, Azerbaijan; Leeds, United Kingdom; Nicosia, Cyprus; Lefke, Cyprus; Leicester, United Kingdom; Leibnitz, Austria; Leoben, Austria; Leon, Mexico; Limbourg, Belgium; Liepāja, Latvia; Limerick, Ireland; Linz, Austria; Liverpool, United Kingdom; Ljubljana, Slovenia; Łódź, Poland; Luang Prabang, Laos; Madrid, Spain; Maceió, Brazil; Maastricht, Netherlands; Lyon, France; Lviv, Ukraine; Malacca, Malaysia; Málaga, Spain; Manaus, Brazil; Manchester, United Kingdom; Manila, Philippines; Maracaibo, Venezuela; Marbella, Spain; Maribor, Slovenia; Marrakech, Morocco; Marseille, France; Medellín, Colombia; Melbourne, Australia; Milpitas, United States; Metropolitan City of Naples, Italy; Miskolc, Hungary; Monaghan, Ireland; Mumbai, India; Munich, Germany; Nairobi, Kenya; Namangan, Uzbekistan; Newcastle upon Tyne, United Kingdom; New York, United States; New Taipei City, Taiwan; Nice, France; Niš, Serbia; Novosibirsk, Russia; Nyíregyháza, Hungary; Oeiras, Portugal; Ohrid, North Macedonia; Ostrava, Czechia; Osaka, Japan; Omsk, Russia; Panama City, Panama; Palermo, Italy; Paphos, Cyprus; Pasto, Colombia; Passau, Germany; Patras, Greece; Pattaya City, Thailand; Pécs, Hungary; Pereira, Colombia; Petaling Jaya, Malaysia; Pforzheim, Germany; Phoenix, United States; Phu Quoc, Vietnam; Phuket, Thailand; Pilsen, Czechia; Porto, Portugal; Porto Alegre, Brazil; Plovdiv, Bulgaria; Poznań, Poland; Prague, Czechia; Pristina, Kosovo; Quezon City, Philippines; Puente Alto, Chile; Rangpur, Bangladesh; Rawalpindi, Pakistan; Recife, Brazil; Regensburg, Germany; Rennes, France; Reus, Spain; Riga, Latvia; Rosenheim, Germany; Rotterdam, Netherlands; Ruhr, Germany; Saint Pölten, Austria; Saint-Étienne, France; Saint-Tropez, France; Shanghai, China; Sheffield, United Kingdom; Shenzhen, China; Sibiu, Romania; Sidon, Lebanon; Sintra, Portugal; Sofia, Bulgaria; Stara Zagora, Bulgaria; Strumica, North Macedonia; Stuttgart, Germany; Suzano, Brazil; Sveta Nedelja, Croatia; Swansea, United Kingdom; Sydney, Australia; Taichung City, Taiwan; Taipei City, Taiwan; Tainan City, Taiwan; Tartu, Estonia; Taoyuan City, Taiwan; Tbilisi, Georgia; Tel Aviv-Yafo, Israel; Tehran, Iran; The Hague, Netherlands; Thun, Switzerland; Tirana, Albania; Tokyo, Japan; Tijuana, Mexico; Toulouse, France; Tripoli, Lebanon; Trujillo, Peru; Turin, Italy; Ulm, Germany; Utrecht, Netherlands; Valencia, Spain; Valletta, Malta; Venice, Italy; Verona, Italy; Vienna, Austria; Vilnius, Lithuania; Vĩnh Phúc, Vietnam; Washington, United States; Wiesbaden, Germany; Würzburg, Germany; Xi'An, China; Yerevan, Armenia; Yokohama, Japan; Zagreb, Croatia; Zadar, Croatia; Zaragoza, Spain; Zürich, Switzerland; Brno, Czechia; Adelaide, Australia; Baku, Azerbaijan; Belfast, United Kingdom; Bergen, Norway; Birkirkara, Malta; Bratislava, Slovakia; Bruges, Belgium; Brussels, Belgium; Bucharest, Romania; Burgas, Bulgaria; Cluj-Napoca, Romania; Cologne, Germany; Constanța, Romania; Coventry, United Kingdom; Daugavpils, Latvia; Dnipro, Ukraine; Dresden, Germany; Galway, Ireland; Genoa, Italy; Ghent, Belgium; Hanover, Germany; Helsinki, Finland; Heraklion, Greece; Iași, Romania; İstanbul, Türkiye; Kazan, Russia; Kharkiv, Ukraine; Košice, Slovakia; Leipzig, Germany; Lille, France; Malmö, Sweden; Moscow, Russia; Nantes, France; Naples, Italy; Newcastle, United Kingdom; Nizhny Novgorod, Russia; Novi Sad, Serbia; Nuremberg, Germany; Pljevlja, Montenegro; Podgorica, Montenegro; Saint Petersburg, Russia; Salzburg, Austria; Samara, Russia; San Marino; Sarajevo, Bosnia and Herzegovina; Seville, Spain; Skopje, North Macedonia; Sliema, Malta; Abu Dhabi, United Arab Emirates; Alexandria, Egypt; Avignon, France; Bắc Ninh, Vietnam; Baghdad, Iraq; Bali, Indonesia; Bangkok, Thailand; Bangor, United Kingdom; Barranquilla, Colombia; Bayreuth, Germany; Beijing, China; Beirut, Lebanon; Belém, Brazil; Benin City, Nigeria; Binh Duong, Vietnam; Boston, United States; Newport, United Kingdom; Los Angeles, United States; San Francisco, United States Workplace: fully David Kennedy Recruitment is working with a fast-growing AI technology company behind an AI companionship platform that is seeking to onboard a Mid/Senior AI Cinematic Video Creator to join their team. The successful candidate will be deeply embedded in generative video workflows, independently creating high-quality, narrative-driven long-form content from concept to final output using AI-first pipelines. The content includes explicit adult material, so candidates must be fully comfortable working with it. Location: Worldwide, Remote Employment type: B2B contract Remuneration: Competitive salary dependent on experience DUTIES AND RESPONSIBILITIES: Conceptualise scripts based on current production needs, centered on the company’s existing AI characters Create narrative-driven long-form video content, including stylised and explicit NSFW visuals, with a strong focus on storytelling, atmosphere and visual coherence Own end-to-end AI video production, from ideation and prompting through generation, editing and post-production Build, customise and optimise node-based ComfyUI workflows for image and video generation Use tools such as Stable Diffusion (AUTOMATIC1111), ComfyUI, Runway and other AI video platforms to produce high-quality sequences Maintain consistent character appearance, style and scene continuity across longer narratives Integrate motion graphics and colour correction to deliver cohesive final outputs Experiment quickly with new AI models and techniques, and share skills with the team Follow the Content Lead’s creative direction while keeping a high degree of autonomy in execution and technical decisions Continuously refine workflows for efficiency, scalability and output quality REQUIREMENTS: 4–6+ years of experience in video production, VFX or digital art, with a strong portfolio that includes AI-driven video work Proven experience with ComfyUI, including building and managing complex node-based workflows Strong proficiency in Stable Diffusion / AUTOMATIC1111, including advanced prompting, trained LoRAs, refining, upscaling and inpainting Hands-on experience with the latest AI video tools and models (e.g. Kling, Seedance, Happy Horse) Solid understanding of AI image and video generation pipelines, including prompting, batching, consistency techniques and post-processing Experience with Premiere Pro, After Effects or similar for final assembly and polish Strong grasp of visual storytelling, pacing, composition and cinematic language Ability to keep character and scene consistency across AI-generated sequences High ownership, an experimental mindset and fast iteration cycles Fluent English and strong communication skills Fully comfortable working with uncensored models and explicit adult content Advantages Experience in AI-native storytelling or filmmaking Background in 3D, VFX, technical art or colour grading Familiarity with training and customising models (LoRAs, embeddings, fine-tuning) Prior experience in adult, dating or adjacent creative industries BENEFITS: Fully remote working from Europe B2B contract preferred, full-time Opportunity to own safety in a new, high-impact role on a product with 50M+ users And many more!!!

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 Anthropic gives independent external evaluators access to our models, our people, and our safety practices so that they can assess risks, processes, and policies. We're hiring a Technical Program Manager to establish and deepen our partnerships with these external reviewers and embedded evaluators to support a thriving frontier evaluation ecosystem. You'll be the main point of contact for our existing partners, deepening our support so that they can work effectively and produce high-quality, rigorous, independent publications. You'll separately broaden the portfolio of organizations we are working with, managing the funnel from first conversation through contracting, onboarding, and day-to-day access, culminating in published reports. You'll evolve our current time-intensive manual processes into a system that can support many evaluators at once, working with teams across Safety, Research, Security, Legal, People Services, IT, Policy, and Communications. Within six months, you should be able to take a new evaluator from contract negotiation to first published report with minimal involvement from senior leaders. You'll need the technical depth to work out with researchers and engineers what access, tooling, and evidence an evaluation requires, and the judgment to resolve most questions quickly and escalate the few that need it, while balancing evaluators' need for access with Anthropic's requirements to protect its customers, its security, and its confidential information. We're looking for a generalist who can ship quickly and iteratively, and who earns trust on both sides. Key responsibilities Own the external evaluator program end to end, including our relationships with evaluator organizations and the pipeline of future partners Take each evaluator from first conversation through scoping, contracting, onboarding, access, and review to a published report Define the stages and tiers of working with evaluators, and develop information access policies that meet evaluators' needs while protecting security and confidential information Drive evaluators' access and information requests to fast, well-documented decisions in partnership with Research, Security, Legal, and IT Drive the technical design of evaluator access with Security, IT, and infrastructure teams, including permissions, environments, and monitoring, and close gaps between policy and technical controls without slowing evaluators down Run the review process for evaluator reports against agreed timelines and redaction criteria, while protecting evaluators' ability to publish their own conclusions Scope evaluations with researchers and engineers, turning evaluators' questions about training, monitoring, and alignment into concrete requirements for model access, data, tooling, and compute, and planning capacity for each new evaluator Turn evaluators' technical findings into research and engineering work with owners and dates, and drive accountability for how Anthropic responds Keep the company informed with regular updates on how the program is going, and clear guidance on how to work with evaluators Collect feedback from evaluators and internal teams, run retrospectives, and iterate on policies and practices Use Claude and work with engineering teams to build the tooling the program runs on, such as access provisioning, request tracking, and report review Support a thriving ecosystem of evaluators by sharing what we learn about running independent evaluation well Minimum qualifications Experience leading complex technical programs with engineering or research teams, from ambiguous goals through delivery Experience managing relationships with external organizations, including scoping work, navigating contracting, setting expectations, and resolving disagreements Strong program management skills, including program planning, milestone and dependency tracking, and risk management across many concurrent workstreams Technical fluency in how frontier AI models are trained, evaluated, and monitored, sufficient to define technical requirements, identify technical risks, and challenge tradeoffs with researchers and engineers Sound judgment and discretion with confidential and sensitive information The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 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.

Задачи: — участвовать в создании и развитии сетевых компонентов продуктов компании — разработка и доработка сетевых сервисов и модулей обработки и передачи данных — реализация компонентов для работы с промышленными и инфраструктурными протоколами — создание механизмов диагностики, логирования и обработки ошибок — разработка внутренних инструментов для настройки, проверки и сопровождения решений — проектирование частей архитектуры с акцентом на надежность и предсказуемое поведение Требования: — опыт разработки на Rust — уверенная работа в среде Linux (настройка, отладка, базовое администрирование) — понимание основ сетевого взаимодействия (модели OSI, протоколы TCP/UDP, сокеты) — умение читать и сопровождать чужой код без желания немедленного рефакторинга — навыки написания поддерживаемого и документируемого кода — системное мышление и способность разбираться в ошибках на стыке компонентов Будет преимуществом: — опыт системной разработки под Linux — опыт разработки сетевых приложений (шлюзы, прокси, сервисы передачи данных) — знание промышленных протоколов или опыт работы в АСУ ТП / промышленной автоматизации — опыт в области информационной безопасности — навыки оптимизации производительности и низкоуровневой отладки — опыт разработки ПО для программно-аппаратных комплексов или Embedded Linux appliance

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As Manager (Player & Coach) of the Solution Architect team, you will lead and mentor a team of Solution Architects who will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of owning discovery calls, demos, technical scoping and driving POCs through to execution as well as designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform. You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: - Forward Deployed Engineering on the frontier of AI https://www.baseten.co/blog/forward-deployed-engineering/ - The fastest, most accurate Whisper transcription https://www.baseten.co/blog/the-fastest-most-accurate-and-cost-efficient-whisper-transcription/ - Deploy production-ready model servers from Docker images https://www.baseten.co/blog/deploy-production-model-servers-from-docker-images/ - Deploy custom ComfyUI workflows as APIs https://www.baseten.co/blog/deploying-custom-comfyui-workflows-as-apis/ RESPONSIBILITIES Leadership - Lead, mentor, and grow a team of Solution Architects, providing guidance on technical direction, project execution, and professional development. - Set clear goals and ensure timely, high-quality delivery across multiple customer-facing projects involving LLM deployment and inference optimization. - Collaborate with leadership to align team priorities with company and customer goals, balancing short-term delivery, widely varying customer priorities, and long-term technical initiatives. - Player-coach – While much of this role will be leading the team, you will also be expected to be a key driver on strategic product initiatives and customer engagements. The best managers derive credibility from being able to be hands-on when needed. Team Management - Lead a team of Solution Architects who will: - Partner with sales on customer discovery calls (most often second calls, occasionally first calls for large accounts). - Lead demos and technical scoping to align on success criteria, architecture, and deployment approach. - Own benchmarking and repeatable deployments, including handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, VoiceAI, etc. - Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups. - Driving consistent “playbook” style deployments for common models and use cases. - Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them - Drive POC and project execution, including: - Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps. - Acting as the “ringleader” or project manager for POCs. - Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed. REQUIREMENTS - AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders. - 4+ years of professional Solution Architecture/Solutions Engineering experience, including 1+ year in a leadership or mentorship capacity. - Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements. - Technical depth to scope solutions, without needing to write production code. - Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows. NICE TO HAVE - Experience running or supporting benchmarks for ML inference deployments. - Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning). - Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering. - Professional Software engineering experience BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: London, United Kingdom; Belgrade, Serbia Workplace: hybrid Senior Product Manager - External Developer Experience Reports to: Group Product Manager (Get Set Up & Build) Location: London Your Role We are looking for an experienced Senior Product Manager to own the experience of every developer who builds on Sokin. At Sokin, we are building a world-class product team that can help us remove the borders, barriers and burdens from global business. Product Management at Sokin is all about creating and delivering an ambitious roadmap with your team and working continuously with clients and stakeholders to ensure your product is driving real value for our customers and the business. This is an opportunity for someone who wants to be part of something challenging and transformative, someone who wants to play a critical role in driving our success. We place a high value on curiosity. The best Product Managers here are endlessly inquisitive about our customers, our data and how money really moves. About Us Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we're simplifying global business - so businesses thrive wherever they choose to grow. We deliver this across: Global payments and receivables Foreign Exchange (FX) Treasury management Finance reconciliations We are expanding rapidly with an established presence across EMEA, APAC and North America. Backed by strong global infrastructure and industry-leading partners, we're redefining how businesses move money around the world. Our clients span industries from sports and entertainment to logistics and travel, and our community is growing fast. We're building a team of exceptional people who share our ambition to transform the future of global payments. As our Senior Product Manager, External Developer Experience Increasingly, our clients and partners do not use Sokin through a screen: they build on it. They connect their own platforms and finance systems to our APIs, they embed money movement in their own products, and a growing number are beginning to give AI agents access to their accounts. The quality of that experience decides how fast they get to their first payment and how much they trust us with more. You'll own the developer experience end to end: our API as a product, the technical documentation, the sandbox, and the white label offer for reseller and embedded partners. You'll set the standards that make Sokin easy to build on, work with Engineering to deliver them, and measure the result in developer terms: time to a first successful payment, the clarity of errors, and how smoothly code moves from sandbox to production. This is a senior role with a lot of room to define the area. Your first job is to decide what 'excellent' looks like for a developer at Sokin and to build the roadmap that gets us there. Your role as a Senior Product Manager at Sokin: Own the strategy and roadmap for Sokin's external developer experience: API ownership, technical documentation, sandbox and, white label and SDKs Treat the API as a product: own design principles, consistency, and a published versioning and deprecation policy that developers can rely on Drive a sandbox with production parity, so the same code runs in both without change, and a developer can reach a first successful payment within a day Rebuild developer documentation around the jobs developers do (get set up, send, collect, track) rather than around endpoints Make errors clear and actionable every time something fails, working with Engineering on error design and with Support on the cases that generate tickets Define how MCP and agent access is granted and controlled, as an entitlement an administrator grants with scope and limits recorded Productise the white label offer: packaging, pricing and the support model for reseller and embedded partners, so that a partner's customers receive the same onboarding service levels as Sokin's direct clients Work with Client Implementation, Solutions and Support to understand where integrations stall, and with the Onboarding Experience & Expansion and Platform Services teams on shared journeys Work from Sokin's Jobs to Be Done catalogue: describe the jobs developers, partners and the teams that support them hire your product for, the outcomes that matter, and the evidence behind them, and keep that picture current Define and track the metrics: time to first payment in the sandbox, integration success rate, API error rates and developer satisfaction We'd love to hear from you if: You have 6+ years in product management, including experience owning an API, developer platform or developer-facing product, ideally in payments or B2B fintech You have a strong understanding of API design, authentication, webhooks, versioning, sandbox environments and how developers evaluate and adopt an API You can write, or direct the writing of, clear technical documentation, and you care about how it reads to a busy developer You are comfortable with white label and embedded finance models, and the commercial and regulatory questions they raise You are curious about AI agents as API consumers and what permissions, limits and audit they require You own your roadmap and can identify problems, make decisions and drive things forward without waiting to be managed You have enough technical depth to work closely with engineers and to review a developer's experience for yourself You are comfortable working with compliance, security and commercial stakeholders Curious and inquisitive: you ask why before you build, dig into the data and the customer's real situation, follow questions past the first answer, and are never satisfied with 'that's how it has always been done'. Comfortable using AI in your role: you use AI tools as a matter of course to research, draft, analyse and prototype at speed, and you stay fully accountable for the result. AI is a tool that sharpens your judgement and never replaces it: you check what it gives you, and the thinking stays yours. Please note, candidates will need to have the right to work in the jurisdiction that they are looking to work in. Sokin is an equal opportunities employer and committed to maintaining an inclusive work environment. As a growing global startup with bases across multiple countries, we were established on and continue to promote an agile, flexible working culture. Please reach out to discuss any accommodations you may require during the recruitment process.

Location: Belgrade, Serbia Workplace: hybrid Senior Product Manager - Receive EMEA Reports to: Group Product Manager (Receive) Location: Belgrade Your Role We are looking for an experienced Senior Product Manager to own Receive across EMEA. At Sokin, we are building a world-class product team that can help us remove the borders, barriers and burdens from global business. Product Management at Sokin is all about creating and delivering an ambitious roadmap with your team and working continuously with clients and stakeholders to ensure your product is driving real value for our customers and the business. This is an opportunity for someone who wants to be part of something challenging and transformative, someone who wants to play a critical role in driving our success. We place a high value on curiosity. The best Product Managers here are endlessly inquisitive about our customers, our data and how money really moves. About Us Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we're simplifying global business - so businesses thrive wherever they choose to grow. We deliver this across: Global payments and receivables Foreign Exchange (FX) Treasury management Finance reconciliations We are expanding rapidly with an established presence across EMEA, APAC and North America. Backed by strong global infrastructure and industry-leading partners, we're redefining how businesses move money around the world. Our clients span industries from sports and entertainment to logistics and travel, and our community is growing fast. We're building a team of exceptional people who share our ambition to transform the future of global payments. As our Senior Product Manager, Receive EMEA Receive is how our clients get paid: payment links, payment forms that collect by card, open banking and alternative payment methods, and a growing set of tools around the invoice, including invoice generation, invoice scanning, and a hosted and embedded checkout for ecommerce businesses. You'll own this proposition for EMEA, from the roadmap to the numbers. You will decide which collection methods we offer, in which markets, and in what order, balancing what clients ask for with what drives acceptance, conversion and the speed at which funds reach their account. You'll make the call on where to build, where to partner and where to wait for a market or scheme to mature, and you'll own the commercial result: volume collected, conversion, cost of acceptance and client adoption. As a senior member of the team, you'll set the standard for how Receive products are discovered and shipped, help the Receive Group Product Manager shape strategy across regions, and mentor Product Managers around you. Your role as a Senior Product Manager at Sokin: Own the Receive roadmap for EMEA, aligned to the Move Money vision and to company objectives Decide which collection methods to launch in each market, including cards, open banking, local direct debit schemes and alternative payment methods, and build the business case for each Own the metrics for your markets: collected volume, conversion and acceptance rates, cost of acceptance, time to funds available and client adoption Take new capabilities such as invoice generation and hosted checkout from discovery through to launch, working with Product Marketing and Sales to bring them to clients Work with Payment Success and Core Platform on reconciliation, attribution of incoming funds and status visibility, so clients can tell what has been paid without chasing Work directly with a cross-functional team of engineers and designers to deliver value often Spend time with clients, Sales and Account Management to discover where collection is slow, costly or manual for them Work from Sokin's Jobs to Be Done catalogue: describe the jobs your customers and internal users hire your product for, the outcomes that matter, and the evidence behind them, and keep that picture current Work closely with Compliance, Risk and Treasury so that new collection methods are safe, well controlled and properly priced Mentor Product Managers and contribute to the Receive team's standards for discovery and delivery We'd love to hear from you if: You have 6+ years in product management, ideally in payments acceptance, PSPs, acquiring, open banking or B2B fintech You understand how collection works under the surface: card schemes and acquirers, direct debit schemes, open banking, wallets and local alternative payment methods You have owned a customer-facing payments product with commercial targets, and can show what moved as a result of your decisions You're analytical and enjoy the mechanics of funnels, conversion and acceptance data You own your roadmap and can identify problems, make decisions and drive things forward without waiting to be managed You're comfortable working with financial, risk and legal stakeholders to design solutions that are user-centric yet compliant You have enough technical depth to work closely with engineers, including on third-party and partner integrations You enjoy mentoring others and raising the standard of the team around you Curious and inquisitive: you ask why before you build, dig into the data and the customer's real situation, follow questions past the first answer, and are never satisfied with 'that's how it has always been done'. Comfortable using AI in your role: you use AI tools as a matter of course to research, draft, analyse and prototype at speed, and you stay fully accountable for the result. AI is a tool that sharpens your judgement and never replaces it: you check what it gives you, and the thinking stays yours. Please note, candidates will need to have the right to work in the jurisdiction that they are looking to work in. Sokin is an equal opportunities employer and committed to maintaining an inclusive work environment. As a growing global startup with bases across multiple countries, we were established on and continue to promote an agile, flexible working culture. Please reach out to discuss any accommodations you may require during the recruitment process.

Location: Spain Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a Sales Enablement Manager to design and execute sales enablement programs that improve sales effectiveness, strengthen sales capabilities, and support revenue growth. The ideal candidate combines strong sales knowledge with experience in developing and delivering training programs for sales teams and leaders. How You’ll Contribute: Program Design & Delivery: Design and implement sales enablement programs and methodologies, including Challenger Sales, Solution Selling, territory planning, and account planning Develop and deliver training programs for Sales Leaders and sales teams Develop sales playbooks, frameworks, and enablement materials Strategy Translation & Coaching: Translate sales strategy and business goals into practical tools, processes, and training programs Support Sales Leaders in coaching their teams and embedding new sales methodologies into day-to-day practice Partnership & Impact: Partner with Sales Leadership, HR/L&D, and other stakeholders to identify capability gaps and define development priorities Measure the effectiveness of enablement programs and continuously improve them based on feedback and business results Support the rollout and adoption of sales processes and methodologies across the organization What You’ll Bring to Xometry: Experience: 4+ years in Sales Enablement, Sales Training, Sales Excellence, or a similar role Sales Methodologies: Strong understanding of B2B sales methodologies, ideally including Challenger Sales and Solution Selling Planning: Experience with territory planning and account planning Training: Experience designing and delivering training programs for sales teams and/or Sales Leaders Sales Leadership: Strong understanding of the full B2B sales cycle and sales leadership practices Communication & Stakeholder Management: Excellent communication, facilitation, and stakeholder management skills Practical Thinking: Ability to turn complex sales concepts into practical, actionable frameworks Languages: Fluent English; additional languages are a plus Location: Spain Employment Type: Full-time, remote Working Conditions: Employment contract with the third part (EOR) Salary structure: monthly base salary Corporate laptop Reports to: VP, Sales, EMEA Life at Xometry: Team Spirit & Friendly Atmosphere: We work in an open, friendly, and trusting environment that welcomes initiative; everyone is ready to help and support one another, and we celebrate wins together and appreciate everyone’s contribution Development Opportunities: As a fast-growing company, every new task is an interesting challenge for the team We Care: Ongoing, free well-being activities for our people and charity projects worldwide Flexibility: Speed and flexibility are among our biggest advantages, allowing us to adapt quickly and stay effective amid uncertainty Onboarding: A well-structured onboarding plan that brings together process, technology, and systems into one smooth experience Please send your CV in English. #LI-Remote #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: France, Lyon Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a Sales Enablement Manager to design and execute sales enablement programs that improve sales effectiveness, strengthen sales capabilities, and support revenue growth. The ideal candidate combines strong sales knowledge with experience in developing and delivering training programs for sales teams and leaders. How You’ll Contribute: Program Design & Delivery: Design and implement sales enablement programs and methodologies, including Challenger Sales, Solution Selling, territory planning, and account planning Develop and deliver training programs for Sales Leaders and sales teams Develop sales playbooks, frameworks, and enablement materials Strategy Translation & Coaching: Translate sales strategy and business goals into practical tools, processes, and training programs Support Sales Leaders in coaching their teams and embedding new sales methodologies into day-to-day practice Partnership & Impact: Partner with Sales Leadership, HR/L&D, and other stakeholders to identify capability gaps and define development priorities Measure the effectiveness of enablement programs and continuously improve them based on feedback and business results Support the rollout and adoption of sales processes and methodologies across the organization What You’ll Bring to Xometry: Experience: 4+ years in Sales Enablement, Sales Training, Sales Excellence, or a similar role Sales Methodologies: Strong understanding of B2B sales methodologies, ideally including Challenger Sales and Solution Selling Planning: Experience with territory planning and account planning Training: Experience designing and delivering training programs for sales teams and/or Sales Leaders Sales Leadership: Strong understanding of the full B2B sales cycle and sales leadership practices Communication & Stakeholder Management: Excellent communication, facilitation, and stakeholder management skills Practical Thinking: Ability to turn complex sales concepts into practical, actionable frameworks Languages: Fluent English; additional languages are a plus Location: France, Lyon Employment Type: Full-time, hybrid, 2-3 days in the office Working Conditions: Salary structure: monthly base salary + RSUs Corporate laptop Reports to: VP, Sales, EMEA Life at Xometry: Team Spirit & Friendly Atmosphere: We work in an open, friendly, and trusting environment that welcomes initiative; everyone is ready to help and support one another, and we celebrate wins together and appreciate everyone’s contribution Development Opportunities: As a fast-growing company, every new task is an interesting challenge for the team We Care: Ongoing, free well-being activities for our people and charity projects worldwide Flexibility: Speed and flexibility are among our biggest advantages, allowing us to adapt quickly and stay effective amid uncertainty Onboarding: A well-structured onboarding plan that brings together process, technology, and systems into one smooth experience Please send your CV in English. #LI-Hybrid #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Germany, Munich Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a Sales Enablement Manager to design and execute sales enablement programs that improve sales effectiveness, strengthen sales capabilities, and support revenue growth. The ideal candidate combines strong sales knowledge with experience in developing and delivering training programs for sales teams and leaders. How You’ll Contribute: Program Design & Delivery: Design and implement sales enablement programs and methodologies, including Challenger Sales, Solution Selling, territory planning, and account planning Develop and deliver training programs for Sales Leaders and sales teams Develop sales playbooks, frameworks, and enablement materials Strategy Translation & Coaching: Translate sales strategy and business goals into practical tools, processes, and training programs Support Sales Leaders in coaching their teams and embedding new sales methodologies into day-to-day practice Partnership & Impact: Partner with Sales Leadership, HR/L&D, and other stakeholders to identify capability gaps and define development priorities Measure the effectiveness of enablement programs and continuously improve them based on feedback and business results Support the rollout and adoption of sales processes and methodologies across the organization What You’ll Bring to Xometry: Experience: 4+ years in Sales Enablement, Sales Training, Sales Excellence, or a similar role Sales Methodologies: Strong understanding of B2B sales methodologies, ideally including Challenger Sales and Solution Selling Planning: Experience with territory planning and account planning Training: Experience designing and delivering training programs for sales teams and/or Sales Leaders Sales Leadership: Strong understanding of the full B2B sales cycle and sales leadership practices Communication & Stakeholder Management: Excellent communication, facilitation, and stakeholder management skills Practical Thinking: Ability to turn complex sales concepts into practical, actionable frameworks Languages: Fluent English; additional languages are a plus Location: Munich, Germany Employment Type: Full-time, hybrid, 2-3 days in the office Working Conditions: Salary structure: monthly base salary + RSUs Corporate laptop Reports to: VP, Sales, EMEA Life at Xometry: Team Spirit & Friendly Atmosphere: We work in an open, friendly, and trusting environment that welcomes initiative; everyone is ready to help and support one another, and we celebrate wins together and appreciate everyone’s contribution Development Opportunities: As a fast-growing company, every new task is an interesting challenge for the team We Care: Ongoing, free well-being activities for our people and charity projects worldwide Flexibility: Speed and flexibility are among our biggest advantages, allowing us to adapt quickly and stay effective amid uncertainty Onboarding: A well-structured onboarding plan that brings together process, technology, and systems into one smooth experience Please send your CV in English. #LI-Hybrid #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Bulgaria, Sofia Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a Sales Enablement Manager to design and execute sales enablement programs that improve sales effectiveness, strengthen sales capabilities, and support revenue growth. The ideal candidate combines strong sales knowledge with experience in developing and delivering training programs for sales teams and leaders. How You’ll Contribute: Program Design & Delivery: Design and implement sales enablement programs and methodologies, including Challenger Sales, Solution Selling, territory planning, and account planning Develop and deliver training programs for Sales Leaders and sales teams Develop sales playbooks, frameworks, and enablement materials Strategy Translation & Coaching: Translate sales strategy and business goals into practical tools, processes, and training programs Support Sales Leaders in coaching their teams and embedding new sales methodologies into day-to-day practice Partnership & Impact: Partner with Sales Leadership, HR/L&D, and other stakeholders to identify capability gaps and define development priorities Measure the effectiveness of enablement programs and continuously improve them based on feedback and business results Support the rollout and adoption of sales processes and methodologies across the organization What You’ll Bring to Xometry: Experience: 4+ years in Sales Enablement, Sales Training, Sales Excellence, or a similar role Sales Methodologies: Strong understanding of B2B sales methodologies, ideally including Challenger Sales and Solution Selling Planning: Experience with territory planning and account planning Training: Experience designing and delivering training programs for sales teams and/or Sales Leaders Sales Leadership: Strong understanding of the full B2B sales cycle and sales leadership practices Communication & Stakeholder Management: Excellent communication, facilitation, and stakeholder management skills Practical Thinking: Ability to turn complex sales concepts into practical, actionable frameworks Languages: Fluent English; additional languages are a plus Location: Bulgaria Employment Type: Full-time, hybrid Working Conditions: Salary structure: monthly base salary + RSUs Health and Life insurance Food voucher Corporate laptop Place of work: Remote (hybrid - after a physical office in Sofia will be opened), with occasional international travel (Lyon, France and Germany) Reports to: VP, Sales, EMEA Life at Xometry: Team Spirit & Friendly Atmosphere: We work in an open, friendly, and trusting environment that welcomes initiative; everyone is ready to help and support one another, and we celebrate wins together and appreciate everyone’s contribution Development Opportunities: As a fast-growing company, every new task is an interesting challenge for the team We Care: Ongoing, free well-being activities for our people and charity projects worldwide Flexibility: Speed and flexibility are among our biggest advantages, allowing us to adapt quickly and stay effective amid uncertainty Onboarding: A well-structured onboarding plan that brings together process, technology, and systems into one smooth experience Please send your CV in English. #LI-Hybrid #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.