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Location: New York, NY Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: Compensation costs are a key driver of profitability for the data center business given revenues are contracted for 15-year periods and operating costs are passed through to tenants. This role will own the allocation, analysis and reporting of that information across data halls, between construction and operations, recoveries, etc. Within the Data Center team, you are a detail-oriented CPA with a genuine appetite for analysis. You will build and run the allocation models, reconcile them monthly, explain what is driving the numbers, and prepare the support that our accountants rely on to book entries. Over time you will take ownership of share-based compensation calculations and the related disclosures for our financial statements, proxy statements and other filings. You will be trusted with highly confidential employee compensation information which you will handle with absolute discretion. You will regularly work directly with the Data Center Head of Finance and the Co-Heads of the Data Center business, presenting your analyses and fielding their questions. This role reports to the Head of FP&A – Data Centers, with a dotted-line relationship to the Controller. The ideal candidate is a self-starter with proven analytical skills and the judgment to know when a number needs a second look. What You’ll Do: Analysis & Insight Build and maintain the models that allocate compensation and related costs at the individual employee level to the relevant data halls, projects, departments and legal entities Analyze the capitalization versus expense split of compensation costs, and the resulting impact on operating cost pass-through, project cost and reported results Prepare and regularly present monthly budget-to-actual, trend and headcount-driven variance analysis; explain the “why” behind the numbers to stakeholders and business leaders Model headcount scenarios (hiring plans, transfers, ramp-up of new data halls) and their effect on cost, capitalization and tenant recovery to support budgeting and forecasting Test the reasonableness of allocation drivers and methodologies, and recommend changes as the business evolves Provide ad hoc analysis to support Data Center leadership, group finance, lender, tenant and reporting needs Compensation Allocation & Capitalization Identify compensation costs associated with construction and other qualifying activities that may be capitalized, and maintain the supporting methodology, driver- or time-based allocations and monthly attestations Apply and help refine Galaxy’s compensation capitalization framework in accordance with US GAAP (e.g., ASC 360 and ASC 720-10-25-3), documenting conclusions for the Controller, Reporting team and external auditors Track changes in headcount, role, location and responsibilities (new hires, transfers, terminations, promotions) and reflect them in allocations on a timely basis Allocate ancillary and overhead costs such as occupancy, technology, T&E, benefits and payroll taxes, using defensible, consistently applied drivers Share-Based Compensation & Disclosure Assist with data center share-based compensation calculations (e.g., ASC 718 expense attribution, forfeitures, modifications and allocation to data center entities and activities) Assist with the preparation of supporting schedules and disclosure drafts for financial statement footnotes, proxy statements and other required filings, working with SEC reporting, Legal and People teams Close, Reconciliation & Journal Entry Support Prepare clear, well-documented journal entry support and schedules for the accounting team to rely on in booking compensation, allocation and capitalization entries during the month-end and quarter-end close Reconcile payroll, benefits and bonus accruals to the general ledger and to allocation models monthly, at the legal entity level, and investigate and resolve variances Support the Controller’s team on accruals, intercompany and cross-entity charges, and construction-in-progress roll-forwards as they relate to capitalized compensation Manage and respond to audit and SOX control requests related to compensation allocation, capitalization and share-based compensation Process Improvement & Automation Automate allocation, reconciliation and reporting workflows to the extent possible, replacing manual, spreadsheet-based processes with scalable, controlled solutions Contribute to the configuration and data design of Workday and related systems so that allocation attributes (cost center, project, data hall) flow cleanly from HR through payroll to the general ledger Document policies, procedures and controls over compensation allocation and capitalization Partnership Work hand in hand with the People team on headcount, compensation and organizational data, and on the timing and accuracy of payroll feeds Partner closely with the Construction, DC Operations, Environmental Health & Safety, Technology, Power, and Growth & Development teams to understand how people spend their time and to validate allocations Work closely with the Controller’s team, FP&A and SEC reporting on their requests and initiatives What We’re Looking For: CPA Public accounting experience (audit or advisory), followed by 1+ years of experience in an industry accounting or financial analysis role Proven analytical skills: ability to build models, find the story in large datasets and clearly explain findings to non-accountants Advanced Excel experience (large datasets, lookups, pivots, reconciliations) Strong working knowledge of US GAAP, particularly capitalization of internal costs (ASC 360 / ASC 720) and payroll-related accounting Demonstrated ability to prepare clear, well-supported schedules and journal entry support that others can rely on Unquestionable integrity and discretion in handling confidential employee compensation information Strong attention to detail, with the discipline to reconcile and tie out data from multiple sources every month Intellectually curious self-starter, comfortable navigating ambiguity and building process where none exists Excellent written and verbal communication skills, with the poise and clarity to present analysis to senior leaders and the confidence to say when the data does not support a conclusion Team-player attitude; able to build credibility across disparate teams Ability to multitask and meet recurring close deadlines in a fast-paced, high-growth environment Flexibility to innovate and implement new procedures to improve processes and workflow Bonus Points: Experience with Workday (HCM or Financials) Experience with payroll data and cost allocation models in real estate, construction, energy, telecom or data center environments Experience with automation or analytics tools (VBA, Power Query, Power BI, Python or SQL) Experience with cost recovery / CAM or pass-through billing under triple-net leases Experience with share-based compensation accounting and related disclosure requirements Familiarity with SOX controls and public company reporting Big 4 accounting experience What We Offer: Competitive base salary and discretionary bonus Hybrid/Flexible Working Arrangements Flexible Time Off (paid) 3% 401(k) company contribution Company-paid health and protective benefits for employees, partners, and other dependents Generous paid Parental Leave Competitive family planning benefits for US employees Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Free daily snacks and weekly breakfasts/lunches Employee Resource Groups Free coaching and counseling sessions through Headspace Apply now and join us as we grow the economy that runs on code. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $100,000 — $100,000 USD Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

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: United States; United Kingdom; Ireland Workplace: Remote We're looking for a detail-oriented, systems-minded Senior Product Designer to own the experience of Coder Agents. With Coder Agents, developers hand off work to AI coding agents running on their company's own infrastructure. The goal is to make powerful, complex agent workflows feel simple and intuitive, and enjoyable to use. You'll partner closely with the Agents PM and engineering team to take the product from early and capable to mature and loved, and to shape how developers will work with agents day to day. You'll lead end-to-end design across discovery, ideation and delivery, and help turn a powerful, complex product into an intuitive, low-friction experience. What you’ll do here - Own end-to-end design for Coder Agents, from research and discovery to shipped UI - Design the core user flows: delegating a task, steering an agent while it works and reviewing its output - Design the admin setup experience (models, templates and integrations) so platform teams can roll Agents out with confidence - Explore designs for developers, less technical users (PMs, designers, business users) and non-human identities. - create a vision for the Agents experience and help steer the team - Fit Agents into how developers work, and help decide where Agents shows up beyond the web UI (IDE, App integrations, Desktop, Mobile) - Shape information architecture as Agents grows: chat types, projects, sharing and multi-panel layouts - Think in systems: build consistent interaction patterns for agent states, long-running tasks, errors and trust signals that hold up as the product grows - Facilitate ideation and story-mapping workshops with PM and Engineering - Prototype quickly, test with real users, and use what you learn to improve the experience - Evolve Coder's design system as Agents adds new patterns What we’re looking for - 5+ years of end-to-end product design for complex software, with a portfolio that shows both systems thinking and strong visual and interaction craft - Excellent UI and interaction craft, with a portfolio that shows polish and attention to detail - Able to take ambiguous, fast-moving problems and turn them into clear flows and shippable decisions - Proactive and independent, with strong communication skills and a collaborative mindset - A systems thinker who turns complex problems into simple, scalable solutions - A deep interest in how developers think, work, and adopt agentic tools - Comfortable with using AI tools in your own design process. Bonus tacos if you have - Worked on AI or agent products before (chat interfaces, copilots, autonomous or long-running task UIs) - Designed developer tools, IDEs, CLIs or platform and admin consoles - Experience designing for enterprise or regulated environments (permissions, governance, auditability) - Experience with accessibility/WCAG standards ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

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: Belgrade; Lisbon Workplace: OnSite Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.   Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.   Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success. [https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg] We’re looking for a hands-on DevSecOps Engineer to build security into our cloud infrastructure and delivery pipelines. You’ll work closely with DevOps and development teams to establish practical security standards as our platform grows. KEY RESPONSIBILITIES - Own cloud security on GCP: IAM, org policies, network security, and edge protection with Cloudflare. - Harden our GKE clusters and container supply chain. - Build automated security checks into CI/CD (SAST, dependency, container, and IaC scanning). - Own secrets management and least-privilege access across the platform. - Drive vulnerability and cloud posture management to remediation. - Build security monitoring and lead incident response. - Actively drive SOC 2 Type 2 and PCI DSS Level 1 work: implement controls, prepare evidence. REQUIRED QUALIFICATIONS - 5+ years in DevSecOps, cloud security, or a security-heavy DevOps/Platform role. - Strong production experience with GCP (AWS/Azure acceptable). - Hands-on experience securing Kubernetes and Terraform-managed infrastructure. - Practical knowledge of CI/CD security, cloud IAM, secrets, vulnerability management, and security monitoring. - Ability to build security practices from scratch and get teams to adopt them. - Strong English communication skills. NICE TO HAVE - Experience with Cloudflare, Datadog, Wiz, Drata, or GitHub Actions. - Prior SOC 2 or PCI DSS audit experience. - Background in payments, gaming, or high-load products. WHY JOIN US - World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players - High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months - Autonomy and ownership – we trust people to make decisions, take initiative, and drive results - Modern tools and technology – use AI, automation, and modern tools as part of your everyday work - Equity – participate in the company's growth and long-term success

Location: Belgrade Workplace: Remote Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.   Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.   Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success. [https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg] We are looking for an Accountant based in Serbia to take ownership of accounting, payroll, tax compliance, and statutory reporting for Aghanim’s Serbian legal entity. This is a hands-on role for an independent professional who understands Serbian accounting and employment regulations, can advise on applicable tax incentives, and is comfortable working with an international technology business. Key Responsibilities - Maintain local accounting records in accordance with Serbian accounting standards and regulations. - Manage payroll calculations, employment-related taxes, social contributions, and employee reporting. - Prepare and submit tax returns and ensure timely payment of tax liabilities. - Assess applicable employment-related tax incentives and advise on compliant ways to optimize employment costs. - Prepare and submit required reports to the National Bank of Serbia. - Support international payments, prepare supporting documentation, and respond to inquiries from banks and relevant authorities. - Prepare consolidated financial statements in accordance with IFRS. - Monitor changes in Serbian accounting, tax, and employment regulations and implement relevant updates. - Maintain accurate records and manage reporting deadlines independently. Required Qualifications - Based in Serbia, with practical experience independently managing accounting for a Serbian legal entity. - Strong knowledge of Serbian accounting standards, tax legislation, statutory reporting requirements, and employment regulations relevant to payroll. - Hands-on experience with payroll, employment-related taxes, and social contributions. - Practical knowledge of employment-related tax incentives, including eligibility assessment and supporting documentation. - Relevant professional accounting license or certification required for the scope of services. - Experience preparing financial statements and consolidated reporting under IFRS. - Experience with National Bank of Serbia reporting and international payments. - Proficiency with Serbian reporting portals, accounting software, and Excel. - Ability to communicate effectively in Serbian and English. - Strong attention to detail, ownership, and the ability to meet deadlines independently. Preferred Qualifications - Experience in an IT, SaaS, fintech, or gaming company. - Experience working with international groups and intercompany transactions. - Familiarity with modern accounting systems and automation tools. Working Arrangement - Part-time engagement with a regular workload of up to 20 hours per week. - Freelance / independent contractor arrangement at this stage. - Individual engagement with personal responsibility for day-to-day delivery. WHY JOIN US - World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players - High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months - Autonomy and ownership – we trust people to make decisions, take initiative, and drive results - Modern tools and technology – use AI, automation, and modern tools as part of your everyday work - Equity – participate in the company's growth and long-term success

Location: US (EST); Paris; France | Remote; US Workplace: Remote ABOUT MORPHO Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.   WHY MORPHO EXISTS Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/. LOCATION New York preferred. Remote is possible between GMT-5 and GMT+2.   ROLE Banks, asset managers and token issuers are bringing stocks, funds and other real-world assets onchain. Those assets become far more useful once their holders can borrow against them and lend them out. Midnight, Morpho's fixed-rate, fixed-term lending protocol, gives institutions the predictable terms they need to do that.   This role owns the products that make Morpho the credit layer for institutional assets, spanning tokenized equities and funds as collateral, loans backed by assets held with a qualified custodian, and the onchain equivalents of repo and securities lending.   Close partnership with institutions is central to this role. You will develop a detailed understanding of how they operate across trading, custody and compliance, and translate their requirements into products that scale across many partners.   RESPONSIBILITIES   - Own the vision, strategy and roadmap for institutional credit on Morpho, end to end. - Act as Morpho's domain expert on the institutional market. Go deep with issuers, asset managers, banks, custodians and brokers on how they finance and lend assets, represent Morpho with them, and turn conflicting input into precise problem statements and requirements. - Decide which issuers and asset types come first, which wait and which Morpho declines, and make the trade-offs explicit. - Judge which partner-specific requests become standard capabilities many institutions can use, and make the build or partner call for each. - Work as a peer to the protocol team on design trade-offs, bringing legal and risk in early on custody, transfer restrictions, valuation and liquidation for each asset type. - Drive each initiative from problem definition through launch and adoption, across teams you do not manage. Define success before launch, measured in active loans.   WHAT SUCCESS LOOKS LIKE   First 30 days You understand Morpho's lending stack and what Midnight makes possible. You have met protocol, markets, vaults, solutions, business development and legal, and joined live conversations with issuers and asset managers. You have written down where the issuer product stands and what blocks its first launch.   First 3 months The first issuers are onboarding to a defined product with standard terms. You have a ranked view of the next two institutional loan types, backed by partner evidence, with named partners in conversation for each.   First 6 months Issuers are live and holders of their assets are borrowing. A second institutional loan type has a working proof of concept with real counterparties. New institutions onboard through a repeatable process, not a custom project.   MUST HAVE EXPERIENCE & SKILLS - Shipped products for institutional users in capital markets or securities finance: repo, securities lending, prime brokerage, collateral management, custody or tokenized assets. - A track record of taking a product from zero to one, where you found the opportunity and carried it through launch. - Working knowledge of how institutions hold, finance and lend assets, and of the regulatory and operational constraints that shape those products. - Comfortable leading conversations with senior people at banks, asset managers and issuers, and turning them into clear requirements. - Able to deliver through influence across teams, without a dedicated engineering team. - Clear writing and speaking for technical and non-technical audiences. - Creates clarity and drives decisions in ambiguous situations, and acts without waiting to be told. - Team-first mindset, low ego.   NICE TO HAVE - Experience with onchain lending, tokenization or digital asset custody. - Time on both sides: at a traditional financial institution and at a technology company. - Has been a founder, or owned a new product line end to end. PERKS & BENEFITS We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.   EQUAL OPPORTUNITY We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.

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 Pacing is Anthropic's work to make sure that, as AI capabilities advance, enough time and effort goes into making them safe. It covers the safety commitments we make and carry out ourselves, the public policy we develop and support, and the research and communication that help people understand how quickly AI is progressing and what that could mean. We're hiring a Technical Program Manager to run Pacing. It spans many projects led by people across Safety, Research, Policy, Legal, Communications, and Engineering, most of whom have other responsibilities too. You'll make sure each project has an owner, a clear outcome, and a date, and that leaders have high visibility and can make tradeoff decisions. You'll work closely with the team responsible for our Responsible Scaling Policy and support every project lead in delivering on their commitments. The questions and strategies relevant to this program will change rapidly as the frontier evolves. You'll need enough technical depth to drive discussions about model training, evaluations, and compute, and the judgment to identify which decisions belong with cross-functional partners and which you can make yourself. We're looking for a generalist who can ship quickly and iteratively and drive accountability towards high-level, ambiguous objectives. Key responsibilities Own the Pacing program end to end, keeping one accurate view of projects, owners, milestones, dependencies, and gaps that drives action from leadership and project leads Turn strategy from executive sponsors into scoped projects with measurable outcomes and timelines for execution, and drive concrete proposals to decisions Run the operating rhythm, including working sessions with project leads, regular written updates, and effective executive reviews, and follow decisions and action items through to completion Work with the Responsible Scaling Policy team and researchers to define the evidence and sign-off a model needs at key points in training and deployment, and make those reviews a dependable part of how we work Track the public and internal commitments Anthropic makes on pacing, and sequence the work, publications, and events behind them with Policy and Communications Partner with Legal throughout the lifespan of each project, and operate with high integrity on confidential and sensitive work Define how progress is measured, report against it candidly, and recommend which projects and practices to continue, change, or stop Use Claude to build automations to allow teams to have broader and deeper impact Minimum qualifications Experience leading multiple complex technical programs that span organizations and involve engineering or research teams, from ambiguous goals through delivery Strong program management skills, including program planning, milestone and dependency tracking, and risk management across many concurrent projects Technical fluency sufficient to identify risks and challenge tradeoffs in how frontier AI models are trained, evaluated, and deployed Working knowledge of AI safety and the main debates about how frontier AI should be developed and governed A track record of delivering through senior leaders and teams who don't report to you, including when it meant changing how they work Experience preparing decisions for executives, including framing options, making a recommendation, and recording the outcome Sound judgment and discretion with confidential and sensitive information Preferred qualifications Experience at a frontier AI developer, a government AI institute, an independent evaluator, or an AI safety or governance research organization Hands-on experience with frontier AI safety work, such as safety frameworks, safety cases, risk reports, model evaluations, or reviews of model training or deployment Familiarity with how AI progress is measured, including compute, capability trends, and the use of AI to speed up AI research Experience delivering programs that combine technical work with public policy, or that bring together experts from different organizations Experience managing published commitments or high-visibility public releases Experience building a program from zero and reshaping it as the strategy evolved 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.

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.

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: San Francisco 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. Are you the person who keeps a high-volume interview engine running smoothly? We're looking for a Manager, Recruiting Coordination to lead and grow our Recruiting Coordinator team across San Francisco and New York. You'll own how coordination runs day to day: who supports which recruiters, the scheduling SLAs and support bar for every interview and onsite, and how the team scales as hiring grows. Our coordinators support multiple recruiters and hiring teams, handling a high volume of mostly technical interview loops. They partner with executive assistants on confidential roles, and support the opening of jobs and the building of interview plans for all roles. You'll make sure that pace stays sustainable for the team and smooth for every candidate. You'll also take on project work as a part of Recruiting Operations to improve how recruiting operations, and recruiting overall, runs at Baseten. Take a look at this recent announcement to get a sense of how quickly Baseten is growing: - Announcing our partnership with OpenAI https://www.baseten.co/blog/baseten-openai-partnership/ RESPONSIBILITIES - Manage, coach, and develop a team of Recruiting Coordinators across San Francisco and New York, including 1:1s, goal setting, regular feedback, and performance conversations. - Forecast coordinator headcount from scheduling volume and hiring plans. to hire, onboard, and grow coordinators: own the RC interview process, ramp new hires through a structured plan, and build career paths into senior RC, recruiting, or operations roles. - Assign coordinators to support talent profiles and hiring teams, rebalance coverage as hiring volume grows, and monitor daily coverage so scheduling and onsites never drop. - Partner with Recruiting Operations to turn coordinator, candidate, and interviewer pain points into automation and AI opportunities, and identify, build and lead process, reporting, and tooling projects to improve outcomes across the funnel. - Define what the coordination team owns, maintain the RC handbook, and represent coordination in recruiting leadership discussions. - Own the process for opening and publishing jobs, and keep interview plans, hiring teams, and scheduling data in our ATS accurate. - Own the SLAs and service bar for all scheduling, and monitor interviewer load and availability rules, from screens and interview loops to debriefs, sell calls, and reference calls. - Ensure every onsite in San Francisco and New York runs smoothly, including candidate travel and related budgets. REQUIREMENTS - 4+ years of experience in recruiting or recruiting operations, with 2+ years managing recruiting coordinators. - Experience using scheduling and recruiting data and metrics to drive capacity, quality, and staffing decisions. - Experience coordinating with executives and supporting confidential hiring processes. - Experience hiring, onboarding, and developing coordinators. NICE TO HAVE - Coordination experience at a fast-growing tech company, ideally supporting technical interview loops. - Experience leading a team across multiple offices, locally and globally. - Experience managing contract or agency coordination support. - Experience using AI and automation to remove routine coordination work. - Exposure to recruiting operations or program management. 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: 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 We’re looking for a high-performing strategic finance professional to join our growing Product Finance team as the finance owner for Baseten's distribution and labs partnerships. You'll evaluate commercials, design deal structures, and make sure the rates we agree to fit our economics and that the value we get from each partnership ties back to our product strategy and compute needs. You'll partner directly with Partnerships, Product, Infrastructure, GTM, and Legal leadership. This is a builder role: much of what you'll own doesn't exist yet as a model, a dashboard or a process. This role is ideal for someone with 7 to 10 years of experience across strategic finance, corporate development, investing, and/or investment banking who wants broad exposure to company-building inside a fast-scaling AI infrastructure company. RESPONSIBILITIES - Build deal models for distribution and labs partnerships across pricing, revenue share, commitments, and cost-to-serve - Evaluate partner proposals and counters and recommend structures that protect margin while getting deals done - Own commercial frameworks for partnerships, including revenue share tiers, capacity pricing and partner rate cards - Quantify each partnership's strategic value such as customer reach and model access, alongside its direct economics - Tie partner commitments and forecasts to Baseten's capacity and GPU supply plan - Track partnership performance after signing - Own the partnerships forecast and its contribution to the annual plan - Partner with Product and Partnerships leadership on which partners to prioritize and how partnerships inform the roadmap REQUIREMENTS - 7+ years of experience in strategic finance at a high-growth company, corporate development, PE/VC investing, and/or investment banking - Deep understanding of product unit economics and excellent financial modeling skills, including building deal models from raw usage and cost data - Experience structuring commercial agreements and anticipating their downstream impacts such as pricing precedent, channel conflict, capacity commitments and margin - Ability to synthesize complex information into clear recommendations for executives and hold a point of view in deal discussions - Comfortable building from scratch and making decisions with incomplete data - Strong attention to detail with a bias toward ownership and execution - Advanced Excel / Google Sheets skills; familiarity with SQL or BI tools is a plus NICE TO HAVE - Experience with GPU compute economics or cloud infrastructure - Familiarity with cloud marketplaces, AI gateways, or the commercial landscape for AI model labs - Experience at a usage-based company 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: 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 You will own the commercial structuring and economics of Baseten's highest-priority customer deals end to end. You will play a critical role in scaling our revenue by serving as a trusted partner to Sales, Finance, and Legal on complex and non-standard deals. You'll help our products reach customers quickly while maintaining the financial discipline and risk management that a fast-scaling AI company requires. This role is ideal for someone who has excellent commercial judgment, is highly analytical, and wants to build the deal strategy function from the ground up at a hypergrowth company. You'll help define how the world's leading AI companies buy inference and directly impact our most strategic customer relationships. THE RESPONSIBILITIES - Deal Structuring: Partner with Sales to structure deals that meet customer needs while protecting Baseten's financial and strategic interests, spanning pricing, discounts, commitments, and contract terms. - Customer Negotiations: Join customer conversations and represent Baseten with senior finance and procurement stakeholders, bringing pricing and commercial depth so the account team can stay focused on the relationship. - Financial Analysis: Conduct deal profitability, margin, and discount impact analysis, and translate the results into clear, data-driven recommendations for leadership. - Deal Review and Approvals: Review enterprise deals that fall outside standard parameters, and own the approval thresholds and escalation paths that keep decisions moving quickly. - Cross-Functional Execution: Partner with Legal, Revenue Accounting, RevOps, and Billing to ensure every deal is contracted, booked, and billed accurately. - Pricing Insights: Track discounting, win rates, and deal outcomes across the book, and use those insights to shape pricing, packaging, and commercial policy. - Process and Systems: Build the playbooks, guidelines, and workflows that let our deal process scale with the business. Use AI and automation extensively to keep the function fast and lean as deal volume grows. THE REQUIREMENTS - 8+ years of experience in deal strategy, pricing, strategic finance, investing, and/or revenue operations at a high-growth technology company - Proven track record of structuring and negotiating complex enterprise deals, especially in a consumption-based environment - Strong commercial judgment, with the presence to negotiate directly with customers and represent Baseten externally - Excellent system design, financial modeling, and analytical skills - Ability to earn the trust of sales teams and influence senior leaders across Sales, Finance, and Legal - Proficiency in CPQ/CRM tools and a strong understanding of how deal terms affect billing and revenue recognition - Excellent written and verbal communication, with the ability to turn complex deal structures into clear recommendations for executives STRONG CANDIDATES MAY ALSO HAVE - Experience at an AI, cloud infrastructure, or data platform company - Familiarity with GPU and compute economics - Experience building a deal desk or deal strategy function from scratch - Prior quantitative 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: New York; San Francisco Bay Area; Seattle Workplace: Remote ✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere. We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing: - Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time - Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek - A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance - The only B Corp-certified global employment platform ~ independently verified since 2023 Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one. And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply. THE ROLE Location: While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. To create the best experience for our new hire (you?!), this role requires that you are based in the AMER region. At Oyster, we’re on a mission to create a more equal world by making it possible for companies everywhere to hire people anywhere. Joining as a Business Development Representative (BDR) is your chance to take your outbound experience to the next level and build a long-term career in tech sales. You’ll sharpen your outreach, qualify leads, and build relationships that drive real business results, all while working with top-tier sales tools like Salesforce, Salesloft, Nooks, and LinkedIn Sales Navigator. Why you’ll love it here You won’t be on your own. You’ll be surrounded by Business Development leaders, experienced Sales Executives, Revenue Operations experts, and an Enablement team that will help you ramp fast, sharpen your pitch, and keep improving every week. You’ll learn from people who’ve done the job and want to see you win. AI-forward, and you own your process. Oyster is an AI-forward company, and our BDRs have real freedom to shape how they work. You’ll use the Nooks AI assistant (powered by Claude) and are encouraged to find your own ways to use AI to cut the busywork, so more of your day goes into real conversations with buyers. Growth you earn. We take career progression seriously. Consistently hit your targets and you’ll earn protected time to build toward your next role, with coaching from BD leadership and our Enablement team. Your results open doors here, and we’ll help you walk through them. Real impact from day one. You’ll be talking to HR, Finance, and Legal leaders at companies hiring across the world, helping them solve a problem that matters to their business. Every conversation you start feeds directly into how Oyster grows. What you’ll do - Generate pipeline through high-volume, multichannel outbound: cold calls, email, and LinkedIn - Research and map target accounts with multiple stakeholders, then build tailored outreach to senior leaders up to the C-suite - Qualify prospects and book high-value meetings that convert into real opportunities for your Sales Executive partners - Clearly articulate how Oyster’s global employment platform solves the problems your buyers face - Run your book like a business: manage your pipeline, know your numbers, and keep finding smarter ways to work, including with AI - Be the voice of the market, sharing buyer insight back to Sales, Marketing, and Product What we’re looking for - 6+ months as an SDR/BDR in B2B SaaS, with outbound prospecting as the core of your role (not primarily inbound) - A track record of meeting or exceeding quota (meetings, SQLs, or SAOs), and you can walk us through your numbers - Comfort with high-volume outreach across cold calling, email, and LinkedIn, and confidence on live calls with senior leaders - Experience prospecting into accounts with multiple stakeholders, including the C-suite - Hands-on experience with Salesforce and at least one sales engagement platform or dialer (e.g. Salesloft, Outreach, Nooks) - A genuine interest in remote work and the trends shaping the global workplace You’ll thrive here if you are... - Driven by a clear “why”: You’re motivated by more than money, whether it’s purpose, product, or your own growth, and it shows in how you show up every day. - An owner: You take initiative, own your pipeline and your results, learn from mistakes, and find solutions instead of waiting for them. - Always improving: You actively ask for feedback and put it into practice quickly. Here, that pays off: our Enablement team and BD leaders invest real time in coaching you. - Resilient and persistent: You push through rejection, adapt your approach when something isn’t working, and keep the pipeline moving, and you’ll be surrounded by a team that does the same. - A curious researcher: You dig into accounts, connect information from different sources, and use it to make your outreach sharper and more relevant. - A team player with high standards: You lift your teammates up, celebrate team wins, and still hold yourself to a high bar on accuracy, organization, and results. If you’re ambitious, curious, and ready to take the next step in your sales career in a global, high-performing team, we’d love to hear from you. HOW WE WORK TOGETHER AT OYSTER Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team. Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us. HOW YOU WORK With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster: - Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere. - Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country. - Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service. - Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options. - Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally. - WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly. ✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE  We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment. Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations. Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing, and curiosity into a new paradigm of using AI to transform knowledge into action. Thousands of attorneys, Am Law firms, and corporate legal teams already rely on Perplexity every week—and Legal is one of our highest-conviction enterprise verticals. Following the playbook that scaled Perplexity Finance, we are looking for an entrepreneurial Product Manager to build and scale our Legal vertical from the ground up. Product Managers at Perplexity work closely with design, engineering, research, and go-to-market teams to turn frontier AI capabilities into indispensable daily workflows. Whether you have a couple of years of product experience at a legal AI or B2B software company, or you are an early-career builder or operator with high agency and a steep trajectory, this role offers rare end-to-end ownership of a flagship vertical. In your application, please highlight a product, workflow, or agent system you’ve built—or a specific legal problem you believe AI is uniquely positioned to solve. THE ROLE Legal work sits at the exact intersection where Perplexity shines: high-stakes research, multi-document synthesis, verifiable citations, and multi-step execution across specialized systems. Winning in Legal requires clearing an uncompromising bar for accuracy, source authority, document fidelity, and enterprise governance—without sacrificing the speed and simplicity that make Perplexity magical. Sitting within our AI Capabilities & Verticals PM team, you will be the dedicated product owner for Perplexity’s Legal vertical. Rather than building an isolated point solution, you will shape how core Perplexity surfaces—Computer, Search, Teammates, Projects, Plugins, Skills, and Artifacts—come together into a cohesive, trusted experience for litigators, transactional counsel, and in-house legal teams. You will partner across Engineering, Design, AI Research, Partnerships, Sales, and Product Marketing to close product and data gaps, co-design with leading law firms and legal departments, and scale Legal into one of Perplexity’s flagship enterprise businesses. WHAT YOU’LL DO - Own the Legal vertical roadmap end-to-end: Define and execute product strategy across litigation research, M&A and transactional diligence, contract review and drafting, and in-house legal workflows—translating attorney pain points into modular capabilities that benefit the entire platform. - Ship core legal primitives and entrypoints: Partner with Engineering and Design to build the product surfaces high-stakes legal work demands—including structured multi-document review tables for diligence and discovery, passage-level inline citations with side-by-side source verification across PDFs/DOCX/spreadsheets, precision redlining and document comparison, and seamless workflows inside Microsoft Word, Outlook/email, and Slack. - Expand the legal data and connector ecosystem: Work closely with Business Development/Partnerships and Engineering to prioritize, integrate, and launch authoritative legal research sources (case law, citators, dockets, secondary sources) and system-of-record connectors across DMS, VDRs, CLM, e-discovery, and practice management (e.g., LexisNexis, Westlaw, iManage, NetDocuments, Datasite, Intralinks, Ironclad, Clio). - Build Legal Skills, Plugins, Teammates, and tailored onboarding: Design out-of-the-box legal workflows, domain-specific Skills, and tailored onboarding flows that ingest a lawyer’s or firm’s clause playbooks, precedent templates, and drafting conventions for immediate time-to-value. - Set the bar for accuracy, evaluations, and enterprise trust: Partner with AI Research and Engineering to build realistic, workflow-level legal benchmarks and evaluation harnesses (measuring citation fidelity, retrieval recall, tabular extraction, and redline quality), alongside enterprise controls for permissions, matter-level governance, and data handling. - Co-design with customers and accelerate vertical GTM: Build design partnerships with leading law firms and corporate legal teams, join strategic customer calls to turn live blockers into shipped product, and partner with Sales, Applied AI, and Product Marketing to craft category-defining demos, case studies, and self-serve and enterprise growth loops. QUALIFICATIONS - 1–4+ years of experience in product management, founding/early-stage product building, forward-deployed product/solutions, or a high-intensity analytical/operating role (such as startup operations, strategy consulting, or investment banking) paired with hands-on product shipping. We index heavily on slope, curiosity, and execution speed rather than years on a resume. - No JD or formal legal degree required—though genuine curiosity about how legal professionals research, analyze risk, negotiate, and deliver work is essential. - AI-native builder: You actively build with LLMs and agents. You are comfortable writing and tuning prompts and Skills, prototyping workflows end-to-end, reasoning about tool calls and context budgets, and designing evaluations and human-in-the-loop safeguards for non-deterministic systems. - Analytical and data-fluent: Comfortable writing SQL, pulling your own cohorts, instrumenting failure modes, running guarded experiments, and pairing warehouse metrics with qualitative user research to focus on what drives retention and repeat high-value usage. - Crisp communicator and high-velocity executor: Strong written and verbal communication; comfortable moving directly from a partner call with an Am Law firm into writing a tight spec with engineers and shipping iterations the same week. - High-ownership operator: Thrives in a small, agile, low-ego team where processes are still being defined and you own the full stack of the outcome—from multi-quarter vertical strategy down to dogfooding edge cases in redlined Word documents. NICE TO HAVE - Experience building or operating at a legal AI, legal tech, e-discovery, CLM, or vertical enterprise AI company (or working directly with law firms and corporate legal departments). - Familiarity with real-world legal workflows and tooling—such as litigation cite-checking (Shepard’s/KeyCite), M&A virtual data rooms, contract redlining playbooks, DMS/CLM integrations, or Microsoft Office add-ins. - Technical foundation (CS, engineering, data science, or dual technical/business training) with comfort reading API documentation, MCP/connector schemas, and system architectures.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing, and curiosity into a new paradigm of using AI to transform knowledge into action. Thousands of attorneys, Am Law firms, and corporate legal teams already rely on Perplexity every week—and Legal is one of our highest-conviction enterprise verticals. Following the playbook that scaled Perplexity Finance, we are looking for an entrepreneurial Product Manager to build and scale our Legal vertical from the ground up. Product Managers at Perplexity work closely with design, engineering, research, and go-to-market teams to turn frontier AI capabilities into indispensable daily workflows. Whether you have a couple of years of product experience at a legal AI or B2B software company, or you are an early-career builder or operator with high agency and a steep trajectory, this role offers rare end-to-end ownership of a flagship vertical. In your application, please highlight a product, workflow, or agent system you’ve built—or a specific legal problem you believe AI is uniquely positioned to solve. THE ROLE Legal work sits at the exact intersection where Perplexity shines: high-stakes research, multi-document synthesis, verifiable citations, and multi-step execution across specialized systems. Winning in Legal requires clearing an uncompromising bar for accuracy, source authority, document fidelity, and enterprise governance—without sacrificing the speed and simplicity that make Perplexity magical. Sitting within our AI Capabilities & Verticals PM team, you will be the dedicated product owner for Perplexity’s Legal vertical. Rather than building an isolated point solution, you will shape how core Perplexity surfaces—Computer, Search, Teammates, Projects, Plugins, Skills, and Artifacts—come together into a cohesive, trusted experience for litigators, transactional counsel, and in-house legal teams. You will partner across Engineering, Design, AI Research, Partnerships, Sales, and Product Marketing to close product and data gaps, co-design with leading law firms and legal departments, and scale Legal into one of Perplexity’s flagship enterprise businesses. WHAT YOU’LL DO - Own the Legal vertical roadmap end-to-end: Define and execute product strategy across litigation research, M&A and transactional diligence, contract review and drafting, and in-house legal workflows—translating attorney pain points into modular capabilities that benefit the entire platform. - Ship core legal primitives and entrypoints: Partner with Engineering and Design to build the product surfaces high-stakes legal work demands—including structured multi-document review tables for diligence and discovery, passage-level inline citations with side-by-side source verification across PDFs/DOCX/spreadsheets, precision redlining and document comparison, and seamless workflows inside Microsoft Word, Outlook/email, and Slack. - Expand the legal data and connector ecosystem: Work closely with Business Development/Partnerships and Engineering to prioritize, integrate, and launch authoritative legal research sources (case law, citators, dockets, secondary sources) and system-of-record connectors across DMS, VDRs, CLM, e-discovery, and practice management (e.g., LexisNexis, Westlaw, iManage, NetDocuments, Datasite, Intralinks, Ironclad, Clio). - Build Legal Skills, Plugins, Teammates, and tailored onboarding: Design out-of-the-box legal workflows, domain-specific Skills, and tailored onboarding flows that ingest a lawyer’s or firm’s clause playbooks, precedent templates, and drafting conventions for immediate time-to-value. - Set the bar for accuracy, evaluations, and enterprise trust: Partner with AI Research and Engineering to build realistic, workflow-level legal benchmarks and evaluation harnesses (measuring citation fidelity, retrieval recall, tabular extraction, and redline quality), alongside enterprise controls for permissions, matter-level governance, and data handling. - Co-design with customers and accelerate vertical GTM: Build design partnerships with leading law firms and corporate legal teams, join strategic customer calls to turn live blockers into shipped product, and partner with Sales, Applied AI, and Product Marketing to craft category-defining demos, case studies, and self-serve and enterprise growth loops. QUALIFICATIONS - 1–4+ years of experience in product management, founding/early-stage product building, forward-deployed product/solutions, or a high-intensity analytical/operating role (such as startup operations, strategy consulting, or investment banking) paired with hands-on product shipping. We index heavily on slope, curiosity, and execution speed rather than years on a resume. - No JD or formal legal degree required—though genuine curiosity about how legal professionals research, analyze risk, negotiate, and deliver work is essential. - AI-native builder: You actively build with LLMs and agents. You are comfortable writing and tuning prompts and Skills, prototyping workflows end-to-end, reasoning about tool calls and context budgets, and designing evaluations and human-in-the-loop safeguards for non-deterministic systems. - Analytical and data-fluent: Comfortable writing SQL, pulling your own cohorts, instrumenting failure modes, running guarded experiments, and pairing warehouse metrics with qualitative user research to focus on what drives retention and repeat high-value usage. - Crisp communicator and high-velocity executor: Strong written and verbal communication; comfortable moving directly from a partner call with an Am Law firm into writing a tight spec with engineers and shipping iterations the same week. - High-ownership operator: Thrives in a small, agile, low-ego team where processes are still being defined and you own the full stack of the outcome—from multi-quarter vertical strategy down to dogfooding edge cases in redlined Word documents. NICE TO HAVE - Experience building or operating at a legal AI, legal tech, e-discovery, CLM, or vertical enterprise AI company (or working directly with law firms and corporate legal departments). - Familiarity with real-world legal workflows and tooling—such as litigation cite-checking (Shepard’s/KeyCite), M&A virtual data rooms, contract redlining playbooks, DMS/CLM integrations, or Microsoft Office add-ins. - Technical foundation (CS, engineering, data science, or dual technical/business training) with comfort reading API documentation, MCP/connector schemas, and system architectures.