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Location: Remote USA Workplace: remote ABOUT THE OPPORTUNITY Xsolla is seeking a Head of Underwriting to serve as the fund's senior credit authority alongside the Chief Credit Officer. You will design the underwriting framework from a clean sheet, lead the underwriting and structuring of the fund's first facilities, and stand in front of LPs as living proof that the fund underwrites to institutional standards. This is a builder's mandate. You will codify how this fund underwrites — the credit playbook, standards, templates, and documentation that make the process repeatable and defensible — and, as the team grows, mentor the junior credit hires who operate it. The role reports directly to Stan Rudoi, Chief Credit Officer and Head of the Xsolla Credit Fund, and sits on the fund's credit committee. ABOUT US  Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. Beyond its core commerce platform, Xsolla is building a private credit fund that lends to video game studios, underwritten with a data advantage no traditional lender has: Xsolla's own payments telemetry across thousands of games. The fund is in its capital formation phase and is led by Stan Rudoi, Chief Credit Officer. This is a ground-floor opportunity to help raise a first-time fund inside a profitable, global gaming-commerce company, alongside the broader Xsolla capital markets ecosystem (Xsolla Funding Club, Xsolla SPAC 1 — Nasdaq: XSLLU, and other strategic vehicles). For more information, visit xsolla.com. Responsibilities Underwriting Framework and Credit Policy Design the fund's underwriting framework from scratch: credit policy, underwriting standards, rating and scoring methodology, credit memo templates, and approval workflows — built for LP diligence from day one. Build the data edge into the process: integrate Xsolla's payments telemetry and game-revenue data into underwriting as a durable information advantage. Deal Underwriting and Structuring Lead the underwriting of lending facilities to game studios and gaming businesses: financial analysis, revenue durability, downside cases, and recovery analysis. Structure facilities: term loans, revolvers, royalty- and revenue-based structures — including covenants, collateral packages, borrowing bases, and pricing. Draft and negotiate term sheets and credit documentation with borrowers alongside external counsel. Credit Committee and Governance Stand up and run the credit committee process: present transactions, document decisions, and maintain an audit trail that stands up to LP and auditor scrutiny. Establish portfolio monitoring: watchlist discipline, covenant tracking, and a workout playbook as the portfolio builds. LP Diligence and Fundraising Support Be the credit face of the fund: appear in fund materials and LP meetings as the fund's credit authority; own underwriting answers in LP due diligence. Support capital formation: help shape the fund's risk-return narrative, portfolio construction guidelines, and track-record presentation. Credit Playbook and Team Building Codify the credit playbook: standards, templates, and documentation that make the fund's underwriting repeatable and audit-ready. Build the bench: as the fund scales, hire and mentor the junior credit team — analysts, associates, and in time a portfolio/risk officer. Qualifications and Skills Experience 7+ years in private credit, direct lending, specialty finance, or leveraged finance, with personal responsibility for underwriting and closing institutional credit transactions. Experience at an early-stage or first-time credit fund — credit policy written from scratch, LPA input, first LP diligence — is strongly preferred. You have seen what a fund needs before it has infrastructure. Lending against media, IP, royalties, recurring digital revenue, or gaming businesses is a strong plus. A track record you can walk LPs through: deals underwritten, structures used, and how they performed — including the ones that went wrong and what you did about it. Skills and Competencies Deep fluency in credit analysis, financial modeling, covenant design, collateral structures, and credit documentation. The gravitas to sit across from LPs, investment committees, and founders — and the judgment to say no to a deal. Enjoys mentoring junior team members and building a strong credit culture as the team grows. Comfort operating in a lean, fast-moving team where you build the machine you then operate. Education and Credentials A bachelor's degree in finance, economics, business, or a related field; an MBA and/or a CFA charter is preferred. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration For the Head of Underwriting – Credit Fundposition, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Credit history check Relevance to Job Responsibilities The background check is relevant to this position because of the following role responsibilities: Handling sensitive financial information and supporting fund analytics, financial models, and deal data Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: Remote USA Workplace: remote ABOUT THE OPPORTUNITY   Xsolla is seeking a Head of Investor Relations for the Xsolla Credit Fund, whose primary mandate is LP capital raising. While Xsolla's Capital Markets team covers investor relations across all of the company's strategic vehicles, this role is dedicated to the credit fund. Over time the role will also support fundraising for other Xsolla investment products, but the credit fund remains the primary focus.This is a relationship-led role. We are looking for someone who brings an established network of LP relationships — family offices, credit and alternatives allocators, funds of funds, and institutions — and who can open doors, engage principals, and personally steward investors from first conversation through diligence to commitment. ABOUT US  Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. Beyond its core commerce platform, Xsolla is building a private credit fund that lends to video game studios and gaming businesses, underwritten with a data advantage no traditional lender has: Xsolla's own payments telemetry across thousands of games. The fund is in its capital formation phase and is led by Stan Rudoi, Chief Credit Officer. This is a ground-floor opportunity to help raise a first-time fund inside a profitable, global gaming-commerce company, alongside the broader Xsolla capital markets ecosystem (Xsolla Funding Club, Xsolla SPAC 1 — Nasdaq: XSLLU, and other strategic vehicles). For more information, visit xsolla.com. Responsibilities LP Relationships and Origination Bring and grow the network: activate your existing LP relationships and originate new ones across family offices, credit and alternatives allocators, funds of funds, and institutions. Engage principals: represent the fund credibly with decision-makers and investment committees, and match opportunities to each investor's mandate and ticket size. Source and qualify the wider funnel: from conferences, investor databases, introductions, Xsolla contacts, and external research — qualified and prioritized by mandate fit. Steward each relationship through diligence, negotiation, and commitment — and after the close, as the foundation of the fund's long-term LP base. Follow-Through and Pipeline Discipline Drive follow-through from first contact to meeting, diligence, soft interest, and closed commitment — no lead goes stale. Prepare and send investor outreach and follow-ups; capture meeting notes, next steps, and commitment tracking after every interaction. Maintain clean CRM reporting: pipeline status, activity, outcomes, blockers, priorities, and weekly progress — so leadership always knows conversion rates, stage aging, and next actions per LP. Provide regular internal fund progress reporting to Xsolla leadership via Slack and other internal tools. A junior IR hire will take on pipeline operations as the raise scales. Fundraising Materials and Messaging Support and continuously improve investor materials: pitch deck, FAQs, data room, and meeting-specific talking points. Refine LP messaging, fund thesis, objection handling, and investor segmentation based on live market feedback. Write concise, institutional-quality investor emails, follow-ups, and presentation language. Diligence and Fund Setup Support Coordinate LP diligence requests across internal Xsolla teams, external advisors, legal, finance, and leadership. Support fund setup workstreams: data room preparation and upkeep, reporting readiness, and document management. Collect and synthesize investor feedback on fund terms, structure, risk-return profile, reporting, and allocation preferences to inform fund design. Cross-Product Fundraising Support As capacity allows, extend the same funnel discipline and materials support to other Xsolla investment products and strategic vehicles, in coordination with the Capital Markets team. Qualifications and Skills Experience 7+ years in investor relations, placement, private funds, investment banking, private credit, venture capital, private equity, family office, or institutional fundraising. An established, referenceable network of LP relationships — family offices, credit and alternatives allocators, funds of funds, or institutions — that you can activate for a first-time fund. This is the core requirement for the role. A track record of raising institutional capital, with a strong understanding of LP fundraising mechanics: fund materials, diligence processes, investor segmentation, and the private fund lifecycle. Direct exposure to private credit or first-time fund raises is a strong plus. Skills and Competencies Excellent business English; able to write concise investor emails, follow-ups, FAQs, and presentation language without supervision. Strong Excel / Google Sheets, CRM, tracking, reporting, and project management discipline. Commercial, structured, responsive, and able to manage many parallel investor conversations without dropping threads. The gravitas and credibility to engage principals, investment committees, and senior allocators as a peer. Sound judgment and discretion when handling sensitive fund and investor information. Interest in gaming, fintech, private credit, alternative investments, or digital platforms preferred. Education and Credentials A bachelor's degree in finance, economics, business, or a related field is preferred. CFA / CAIA or relevant securities licenses are viewed favorably but not required. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration For the Head of Investor Relations – Credit Fundposition, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Credit history check Relevance to Job Responsibilities The background check is relevant to this position because of the following role responsibilities: Handling sensitive financial information and supporting fund analytics, financial models, and deal data Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Corporate Network Engineering team owns Anthropic's corporate network: the wired, wireless, and edge infrastructure in our offices and research facilities around the world, and the standards, management systems, and telemetry that let a small team run them. We hold that network to the bar of a production service — designed for failure, managed as code, observable end-to-end, and secure by default — while delivering reliable connectivity to the people who depend on it every day. You'll set the technical direction together with your engineers and own the final decision on it and on the architecture standards, review and guide designs and the hard trade-offs, and lead vendor and platform decisions. You'll lead and grow a small team of network engineers: set priorities, drive decisions to closure, hire, and develop people. The team is small and the scope is broad, so this role needs real depth in campus and edge networking, judgment about what to standardize, automate, buy, and build, and the range to go from a wiring-closet decision to a budget defense in the same afternoon. You'll report to the head of IT Engineering and partner closely with our Buildouts, AV, and Endpoint teams; with Security Engineering on network security, authentication, and detections; with Physical Security, whose systems are critical for protecting Anthropic employees and depend on a reliable network; with Workplace, Real Estate, Procurement, and external logistics and integration partners on new site buildouts; and with our production networking teams, whose bar for reliability and automation is the one we hold ourselves to. Your work will directly shape how we scale to AI Safety Level 4 and beyond. Responsibilities Lead and grow the Corporate Network Engineering team — hiring, development, performance, planning, and prioritization Set technical direction with the team and own the final call on architecture standards across edge, campus switching, wireless, segmentation, out-of-band management, and telemetry; review designs and risky changes, and step in on the hard problems Own reliability and operations: monitoring people act on, incident response and post-incident reviews that produce changes, an on-call and escalation model a small team can sustain, change safety, and lifecycle currency Move the fleet toward network-as-code: templated configuration with change control, staged rollouts, drift detection, and automation that removes operational toil Partner with Security Engineering and Detection & Response on network authentication, segmentation, and the network as a detection source Deliver networks for new offices and research facilities and upgrade existing sites through live migrations — with Buildouts, AV, Physical Security, Workplace, Real Estate, and our logistics partners — while keeping interruptions to employees minimal Own vendor, carrier, and integrator relationships and the network hardware budget: evaluations, contracts, lead times, and multi-year refresh You may be a good fit if you Have 10+ years designing, building, and operating enterprise campus and edge networks, including at least one environment with dozens of sites across regions Have 5+ years leading engineers, including at least 3 years as a people manager Lead through technical judgment: whether or not you've been hands-on-keyboard lately, you can go from architecture to protocol behavior to failure modes with your engineers, and your reviews make their designs better Default to the secure design, then do the creative work to make it painless for the people using it — and can walk an executive or an engineer through the trade-off and make a recommendation Have run the operational side, not just designed it: out-of-band access, monitoring people act on, an on-call model a small team can sustain, and change safety Are pragmatic about what to build, buy, or automate, have run vendor evaluations with real money at stake, and chase problems across organizational boundaries to the actual root cause Communicate clearly with engineers, executives, contractors, and landlords, and can bring a room of senior engineers with strong opinions to a decision they'll commit to Want real technical ownership with a small team — including if you've led a larger organization before — and care about building infrastructure for an organization trying to get AI right Strong candidates may also Have led corporate networking at a company that added offices faster than it added network engineers Have implemented certificate-based network authentication (802.1X/EAP-TLS or equivalent) and identity- or device-based segmentation at scale Have shipped network configuration as code and built telemetry pipelines that security and support teams actually use Have designed dense wireless for large event spaces and high-occupancy floors Have been through multiple office builds with real estate and construction teams — including networks that physical security systems depend on — and know what to ask for before the walls close Have managed integrators, MSPs, or smart-hands providers as an extension of a small team while keeping design authority in-house Technical Skills We're looking for deep, hands-on experience in each of these — not surface familiarity: Enterprise edge: firewalls and routing (HA design, routing protocols, policy management across a fleet) Campus switching and high-density enterprise wireless (L2/L3 design, redundancy, RF design, 6 GHz, high-density venues) Segmentation and access control (certificate-based 802.1X, dynamic segmentation, guest and IoT isolation) Out-of-band management and secure, auditable administrative access Network automation and configuration as code (Python, templating, vendor APIs, source control, CI) Network observability (streaming telemetry, flow and log pipelines) Physical infrastructure for buildouts (MDF/IDF design, structured cabling, power and cooling, carrier and path diversity) Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $325,000 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking research scientists with deep expertise in experimental chemistry to join the team. We welcome chemists from across the field, including medicinal, synthetic organic, physical organic, organometallic, inorganic, analytical, physical, and materials chemistry, as well as formulation science. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be an expert in your area of chemistry with hands-on experience designing, and running experiments, from synthesizing, purifying, and characterizing compounds to studying reaction mechanisms and kinetics. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll drive experimental programs end to end and pressure-test AI-designed molecules, AI-proposed synthetic routes, and AI-predicted mechanisms and properties against real chemistry. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Depending on your area of chemistry, you will: Design multi-step synthetic routes for small molecules and oversee their execution end to end, including route selection, reaction optimization, purification strategy, and interpretation of full characterization data (NMR, LC-MS, HPLC) Design and run mechanistic, kinetic, and spectroscopic studies to explain and predict reactivity, selectivity, and molecular properties Prepare and characterize inorganic and organometallic compounds, materials, and formulations, and relate their composition and structure to their properties Coordinate synthesis and biological evaluation with external contract research organizations and academic partners Evaluate AI-designed molecules, AI-proposed synthetic routes, and AI-predicted mechanisms and properties, drive them to experimental readout, and feed results back to research teams Generate experimental and computational data, for example from quantum mechanical calculations, that research teams use to train and evaluate AI models Apply medicinal chemistry principles, including SAR analysis and physicochemical property optimization, to compound design and prioritization Ensure experimental data across programs is high quality and well documented, including procedures, spectra, and failure modes Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications PhD in chemistry Demonstrated depth in your area of experimental chemistry (for medicinal chemists, SAR-driven design and optimization of small molecules,), with recent, sustained hands-on laboratory work Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications 5+ years of experience in your area of chemistry beyond the PhD For medicinal chemists, a track record of advancing programs from hit identification through lead optimization Experience directing chemistry activities at contract research organizations Computational chemistry, cheminformatics, or coding skills, for example quantum mechanical calculations (DFT) or Python with RDKit or pandas for data analysis and automation Experience using AI or ML tools in chemistry or the life sciences Publications and/or patents demonstrating scientific impact 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: $300,000 — $320,000 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote USA Workplace: remote ABOUT YOU We are looking for a Head of Fund Analytics & Automation who is a hands-on builder, rigorous with data, and fluent in finance conversations to join our Credit Fund team in the office of the Chief Credit Officer. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design, build, and operate the fund's entire data and automation stack end to end — and then own it as the fund goes live. The credit fund is being built with a deliberately small team. Instead of hiring several analysts and operations staff, we want one senior technical hire who can do both: engineer the platform and sit across the table from investors and borrowers. Underwriting here is built on real payment telemetry — including Xsolla transaction data — and that data edge is the foundation of this role. Strong SQL, Python, and production automation skills are essential, along with real experience in portfolio analytics, market risk, or credit. The ability to ship audit-grade systems and then defend the numbers in front of LPs and borrowers will be key to your success in this role. The role starts as a builder and becomes the owner-operator of the platform, with a growing seat in underwriting decisions and, as the platform and deal volume grow, scope to hire and lead a small team. If you're passionate about applying AI-governed automation to private credit and love building the systems that let a lean team punch far above its weight, we would love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities First 6 months — priorities in order - Deal pipeline live: origination intake through credit committee, with the full audit trail. - Scoring data layer: borrower financials and payment telemetry ingested, stored, and under documented data contracts. - LP / fundraising pipeline instrumented, and first investor reporting shipped. Explicitly out of scope: legal documentation, fund administration, and accounting — these sit with external providers. Phase 1: Build (through first close) Deal pipeline management - Design and run the full deal workflow: origination intake, screening, scoring, credit committee, closing. - Implement it as governed automation (workflow orchestration such as n8n or similar, with LLM-assisted steps where they add value): every automated output validated against a defined schema, low-confidence results routed to human review, and a complete audit trail suitable for LP due diligence. Scoring and underwriting data layer - Build the ingestion and storage layer for borrower financials and payments telemetry (including Xsolla transaction data) — PostgreSQL or equivalent, ETL pipelines, materialized views, documented data contracts. - Develop credit scoring and forecasting models in Python, with proper train/test discipline, leakage and PII exclusion, and ongoing monitoring for drift and degradation. - Maintain evaluation and regression checks so model and automation quality is measured continuously, not assumed. Fundraising / LP pipeline - Build and operate the investor pipeline: CRM automation, conference and referral pipeline tracking, follow-up orchestration, and data room preparation and upkeep. - Instrument the pipeline so we always know conversion rates, stage aging, and next actions per LP. Investor and borrower dashboards - Ship reporting for both audiences: fund-level metrics for investors, facility-level metrics for borrowers. - Numbers must reconcile to source systems and be reproducible outside the BI tool — audit-grade, not demo-grade. Tableau / Power BI or a lightweight web dashboard, whichever fits. Reliability, cost, and security of the stack - Budget caps and cost monitoring on all AI-assisted automation; regression canaries before changes ship. - Access control and data protection appropriate for fund data: deny-by-default permissions, audit logs, strict handling of LP identities, borrower financials, and deal terms. - Documented runbooks and handover-ready documentation as part of "done" — the stack must be operable by someone other than its author. Phase 2: Operate (post-close) - Move into an operating role on the underwriting side: portfolio monitoring, covenant and collateral tracking, scenario and stress analysis. - Extend the platform to other investment types and support the capital formation team with the same pipeline and reporting infrastructure. Client and investor facing This is not a back-office role. The person will join investor and borrower meetings, present the dashboards and the numbers behind them, and field diligence questions directly. Fluency in finance conversations is as important as engineering. The person will also respond to LP operational due diligence questionnaires on the data and automation stack. Qualifications and Skills Required - 7+ years across data analytics / data engineering, including recent hands-on experience building and running production automation (not prototypes or notebooks). - Proven production experience with LLM-based automation: schema-validated outputs, human review gates, evaluation and regression testing, cost-tiered model routing. - Strong SQL and Python; ownership of a PostgreSQL (or similar) data platform end to end — ETL, materialized views, performance tuning, data contracts. - Workflow orchestration experience (n8n, Airflow, or comparable). - BI and dashboarding: Tableau, Power BI, Qlik, or equivalent web dashboards; a track record of reporting that executives actually used for decisions. - Security discipline for sensitive data: role-based access, deny-by-default policies, audit trails, PII handling. - Finance background: degree in finance or quantitative field plus real experience in portfolio analytics, market risk, or credit — able to hold their own in an underwriting or investor conversation. - Strong written and spoken English; comfortable presenting to senior external audiences. Preferred - Direct exposure to private credit, lending, or fund operations. - Forecasting and statistical modeling track record (capacity planning, SLA/risk forecasting, or similar). - Experience with embeddings / semantic search and multi-model AI setups. - Web development ability (React / TypeScript or similar) for internal tools and dashboards. - Experience in audited or regulated environments (SOC 2, fund audits, or equivalent). Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration For the Head of Fund Analytics & Automation — Credit Fund position, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Credit history check Relevance to Job Responsibilities The background check is relevant to this position because of the following role responsibilities: Handling sensitive financial information and supporting fund analytics, financial models, and deal data Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: 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 Claude serves millions of individual users alongside enterprise clients. Safeguards Engineering develops the foundational infrastructure that ensures its safe use: robust access controls, active abuse detection, real-time probes and classifiers within the inference pipeline, offline monitoring for review, and the underlying systems powering it all. Operating at scale and velocity, we continuously adapt to technology whose capabilities and risks evolve weekly. The Safeguards Data team owns the data lifecycle for Safeguards—routing user data and safety metadata from online systems into offline storage and enabling access for downstream teams. Our goal is to provide privacy-safe access to sensitive data for approved uses while ensuring performance, reliability, and minimal blast radius. We prioritize security by design, embedding controls directly into systems operating across AWS, GCP, Azure, and customer-managed environments. This is a systems engineering position within a small, newly established team. Rather than managing an existing backlog, you will have the autonomy to own a problem domain, establish its technical vision, and shape the team's trajectory. Key responsibilities Design, build, and operate the stores, pipelines, schemas, and APIs that Safeguards' detection, evaluation, investigation, and review systems read from. Build privacy-safe interfaces that allow ML training, evaluation, and investigation workflows to utilize sensitive data without requiring broad access to raw records, ensuring access is tied to purpose and built-in lineage. Scale the distributed storage, ingestion, and processing systems operated by Safeguards, maintaining cost efficiency, reliability, and portability across deployment environments. Collaborate with investigators, researchers, legal, privacy, and security teams to translate operational requirements into functional mechanisms and systems for safe data utilization. Uphold a high operational bar by participating in the on-call rotation, leading incident reviews, and continuously reducing manual operational overhead. Lead through technical design by authoring foundational proposals and conducting cross-team architectural reviews. Minimum qualifications Have strong systems fundamentals (processes, threads, RPC, storage, and how systems fail) and have built and operated large-scale, fault-tolerant distributed systems Have built and operated systems that handle sensitive or high-value data, with access, privacy, retention and security controls designed in from the start Have a track record of building platforms or internal tooling that other teams widely adopt Have led the technical design of projects that span several engineers or teams Learn quickly and adapt: you're comfortable with ambiguity, a fast pace, and systems or languages you haven't used before Care about the impact of your work and about making AI safe, use good judgment about what matters most, and can explain technical trade-offs to non-technical partners Preferred qualifications Proficiency in one or more systems languages (e.g., C, C++, Rust, Go) 8+ years of experience as a software engineer, and a Bachelor's degree in Computer Science, Software Engineering or comparable professional experience Experience building data infrastructure for ML: training datasets, offline batch inference or evaluation Experience with data governance requirements in a regulated or high-sensitivity domain Fluency with agentic coding tools such as Claude Code 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: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's consulting and systems integration partners now sell and deliver Claude work at growing volume, and selling alongside partners is working. What matters next is delivery: whether the partner completes the work, whether the customer's Claude usage grows and holds, and whether the outcome is good enough that the customer asks for that partner again. The Partner Success Lead owns that outcome. You will hold a book of in-flight customer engagements across a set of managed partners in North America. From the day our Partner Delivery program matches a customer engagement to a partner in your book, you own it to a completed outcome: the work finishes on scope, the customer's Claude usage grows, and a stalled engagement gets diagnosed and unblocked before the customer disengages. You wake up every day on one question: what is each partner in my book doing, and is the work getting done. Key responsibilities: Own every customer engagement in your book from partner match to completed outcome. Know the state of each one every week: scope, timeline, blockers, and the customer's Claude usage trend. Run the weekly delivery review across your book, and bring stalled or at-risk engagements to the weekly at-risk account review with a diagnosis, an owner, and a specific ask rather than a status list. Unblocking. Partner capacity, scope creep, customer readiness, product questions, deal-registration conflicts, and customer dissatisfaction with partner work: get each issue to the right internal team and stay on it through resolution. Own delivery quality and consumption across your book. Track engagements completed on time, time from match to completion, delivered consumption and weekly active use on the customer accounts your partners serve, and the accounts trending toward at-risk. Build senior relationships with each managed partner's practice and delivery leadership. Together with the Partner Account Manager and other Anthropic counterparts, establish the executive-level trust that lets you ask a partner to restaff, escalate, or invest — and be taken seriously — when an engagement needs it. Build each partner's Claude practice as the compounding work: certified bench depth, one repeatable offering in a chosen industry lane, and a published customer story from each completed engagement, so the next engagement needs less from you. Turn what works into methodology. Convert the moves you prove in your book into named, reusable best practices — engagement review packs, unblocking plays, practice-building guides — written clearly enough to be shared at scale across partners, the Partner Success team, and the contract delivery team running the same loop. Run the quarterly practice review with each managed partner's alliance and delivery leads: joint goals on completed customer engagements, customer adoption, certified practitioners, references, and industry positioning. Present and persuade across audiences. Deliver partner executive briefings, practitioner enablement sessions, and internal reviews with equal command — this role is regularly the voice of Partner Success in front of a partner's leadership, a delivery team, a customer, or Anthropic's own leadership. Steward funding requests from partners in your book. Recommend for or against co-investment and program funding requests against a stated outcome, and reconcile against milestones. The bar is outcomes, not consultant hours. Work the handoffs cleanly: from Partner Sales when a partner deal closes, and from the Partner Delivery program when an engagement is matched to a partner in your book. Coordinate with the Partner Account Manager on any strategic partner that has one, with Customer Success Managers on customer-side account health, and with Anthropic's direct sales field on joint accounts. Instrument your book and know its numbers: engagements in flight and completed, stall rate and days to unblock, delivered consumption per partner, certified practitioner counts, and partner health trajectory. Run your book Claude-first. Telemetry drafts the diagnosis; you validate it and act. Claude drafts your review packs, status notes, and escalation briefs; you own the judgment, the exceptions, and the unblocking. Feed what you see in the field back into the packages, playbooks, tier rules, and health rubric the team runs on. Minimum qualifications: Experience owning a high-volume book of concurrent customer engagements, projects, or accounts (roughly 10 to 30 at a time) to completed outcomes, in a partner success, customer success, delivery management, or technical account management role. Ability and appetite to build structure, clarity, and programmatic motions out of in-flight work, while delivering engagement by engagement. You have written something down — a review format, a checklist, a play — that others ran without you, and you want to do more of that; growing that into the operating playbook a wider team runs is the senior end of this role, not the entry bar. This role scales by what you write down, not by added hours. Track record of a number tied to completed work and customer behavior (on-time delivery, adoption, retention, consumption, expansion) rather than contract signature, and an operating rhythm you built to hit it. Judgment on delivery quality: you can review a partner's engagement plan or scope and tell whether it will finish on time and produce usage, and you ask the follow-up question that surfaces the real risk. Escalation and unblocking judgment across a matrix (partner, customer, direct sales, customer success, product): you know which stall belongs to whom, you get help fast, and you stay engaged to resolution. A convincing speaker and presenter to all kinds of audiences: partner executives, delivery practitioners, customers, and internal leadership. You can carry a quarterly practice review, an enablement session, and an executive escalation in the same week and land each one. Deep understanding of how customer success works in a usage-based business; you have held a number tied to customer behavior and can read a consumption trend and act on it. Enough technical fluency to be credible in a delivery review. You do not need to write code, but you can follow a partner architect's walkthrough of a real Claude engagement and ask the substantive second question. Active daily use of Claude or another large language model as part of how you work: preparing reviews, drafting account plans, and analyzing your book. We will ask you to walk us through a recent deliverable. Preferred qualifications: 5 to 8 years working with consulting and systems integration partners, or in delivery-facing customer success at a software company, cloud platform, or partner-led business. Direct experience with systems integrators (global firms such as Accenture, Deloitte, Capgemini, Infosys, TCS, or Wipro, or regional and boutique firms) and an understanding of how their delivery practices are staffed and run. Experience running at-risk or red account reviews and turning stalled work around. Experience anchoring a surge team: setting the playbook and the review pack that a group of contract or offshore delivery coordinators ran, and holding the quality bar across them. Depth in a specific industry vertical (financial services, healthcare, public sector, retail, or manufacturing) where you have carried a book of partners or customers. Experience stewarding co-investment funding or market development funding against specific outcomes, with formed opinions about what works and what does not. Experience running quarterly business reviews with consulting firm practice leads, and a sense of what makes them productive rather than ceremonial. Experience on a new team where the operating model was being written while you ran the book, and you shipped both. 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: $215,000 — $300,000 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. 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: Dallas, Texas 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: The Senior Mechanical Engineer, Data Center Operations Engineering & Reliability provides full-lifecycle mechanical engineering support across the data center portfolio, from site design and construction through commissioning, turnover, and enduring operations. This role serves as an operations-focused technical owner for mechanical infrastructure, ensuring systems are designed, built, commissioned, maintained, and operated in a way that protects uptime, preserves design intent, supports redundancy models, and improves long-term asset reliability. The role partners with site operations, design and construction, commissioning, controls/BMS, vendors, OEMs, finance, and enterprise reliability leadership to translate design decisions and construction outcomes into safe, maintainable, and reliable operations. What You’ll Do: This position supports the enterprise reliability strategy, maintenance governance, asset lifecycle planning, engineering standards, RCA discipline, technical escalation model, commissioning lessons learned, and continuous improvement objectives owned by the VP, Operational Reliability & Engineering. Key Responsibilities 1. Site Design and Pre-Construction Support Provide mechanical engineering input during site selection, concept design, schematic design, design development, and construction document reviews. Review mechanical design packages for operational readiness, maintainability, service access, system redundancy, capacity, resiliency, and preservation of design intent. Evaluate mechanical system designs, including chilled water systems, air-cooled and water-cooled chillers, pumps, cooling towers, CRAH/CRAC units, heat exchangers, economizers, valves, piping, filtration, humidification, water treatment systems, and supporting infrastructure. Identify design risks that could create future operational issues, single points of failure, maintenance access constraints, reliability gaps, or lifecycle cost exposure. Participate in constructability reviews, value engineering discussions, submittal reviews, RFI resolution, equipment selection reviews, and design standard updates. Partner with design and construction teams to ensure mechanical systems align with enterprise standards, OEM requirements, warranty protections, and long-term operating expectations. 2. Construction, Commissioning, Turnover, and Operational Readiness Support construction-phase technical reviews to ensure installed mechanical systems remain aligned with approved design intent, redundancy models, sequence requirements, and operating requirements. Review and provide input on commissioning plans, functional performance tests, integrated systems tests, failure-mode tests, and sequence-of-operations validation. Validate that mechanical alarms, controls sequences, set points, trends, and BMS visibility support safe and reliable operations. Ensure turnover packages include complete O&M manuals, as-built drawings, asset data, warranty information, spare parts requirements, PM tasks, training materials, and vendor service requirements. Confirm site operations teams are prepared to operate, maintain, and troubleshoot mechanical systems before handoff to enduring operations. Capture construction and commissioning lessons learned and incorporate them into standards, operating procedures, maintenance programs, and future designs. 3. Enduring Operations and Reliability Engineering Serve as a mechanical technical escalation point for site operations during incidents, abnormal operating conditions, environmental excursions, equipment failures, and reliability concerns. Analyze mechanical system performance trends, including temperature, humidity, flow, pressure, valve position, pump performance, chiller efficiency, economizer operation, and controls stability. Lead or support root cause analysis for mechanical incidents, near misses, recurring alarms, capacity constraints, and equipment failures. Develop corrective and preventive actions that eliminate repeat failure modes and reduce operational risk. Partner with controls/BMS teams to improve alarm rationalization, monitoring, trending, sequence performance, and operator visibility. Provide engineering guidance for live-site maintenance activities, system isolations, change management reviews, MOPs, SOPs, EOPs, and risk assessments. Own the mechanical sequence-of-operations documentation as a living artifact post-turnover, ensuring it stays current as systems, set points, and control strategies evolve during enduring operations. 4. Maintenance, Asset Lifecycle, and Risk Management Define, review, and improve preventative maintenance standards for critical mechanical equipment across the operating portfolio. Ensure maintenance practices align with OEM recommendations, warranty requirements, contractual uptime commitments, and site-specific operating conditions. Support reliability-centered maintenance and predictive maintenance programs where appropriate, using asset condition, failure history, service records, and operating data. Develop mechanical asset criticality frameworks to prioritize inspection, maintenance, testing, spare parts, capital replacement, and engineering oversight. Partner with finance, operations, and reliability leadership to support long-term capital replacement forecasts tied to equipment degradation, age, risk, and lifecycle cost. Review vendor service quality, maintenance documentation, corrective maintenance effectiveness, and spare parts strategies for critical mechanical systems. Own the water treatment and chemistry monitoring program for chilled water and condenser water systems, including chemistry limits, treatment equipment performance, ongoing monitoring cadence, and coordination with water treatment vendors to protect system integrity and heat transfer efficiency. 5. Standards, Governance, and Continuous Improvement Develop and maintain mechanical engineering standards, operating playbooks, troubleshooting guides, technical bulletins, and review frameworks for the operations organization. Support management of change processes to ensure mechanical modifications are reviewed for reliability, redundancy impact, maintainability, documentation, training, and operational readiness. Translate site-level incidents, near misses, asset performance issues, and commissioning findings into portfolio-wide improvements. Help establish engineering competencies, technical training content, and qualification expectations for mechanical operations support. Reduce single points of technical dependency by documenting knowledge, coaching site teams, and strengthening internal engineering capability. Promote disciplined risk evaluation, technical documentation, and cross-functional decision-making across design, construction, commissioning, and operations. What We’re Looking For: Required Qualifications Bachelor's degree in Mechanical Engineering or a closely related technical discipline. 8-10 years of progressive mechanical engineering experience, with at least 5 years supporting data centers, mission-critical facilities, central plants, industrial facilities, or other 24x7 high-availability environments. Demonstrated experience supporting mechanical infrastructure across design review, construction support, commissioning, turnover, maintenance, troubleshooting, and enduring operations. Strong working knowledge of data center or mission-critical mechanical systems, including cooling plants, air handling systems, pumps, heat rejection equipment, piping, valves, controls, and redundancy configurations. Experience reviewing mechanical drawings, equipment submittals, sequence-of-operations documents, commissioning scripts, test reports, O&M manuals, and maintenance documentation. Ability to troubleshoot complex mechanical issues in live operational environments and make sound recommendations that balance uptime, safety, cost, schedule, and long-term reliability. Experience with preventative maintenance, root cause analysis, corrective action planning, asset lifecycle management, and operational risk assessment. Strong communication skills with the ability to explain technical issues clearly to site operations, leadership, vendors, design teams, construction teams, and commissioning partners. Preferred Qualifications 10+ years of mechanical engineering experience in large-scale data center, mission-critical, or multi-site critical infrastructure environments. Professional Engineer license or Engineer-in-Training certification. Experience serving as a senior mechanical technical escalation point for live operational facilities. Experience supporting new data center builds, major expansions, retrofits, integrated systems testing, and operational turnover. Knowledge of Uptime Institute Tier concepts, ASHRAE guidance, OEM maintenance requirements, and data center availability expectations. Experience with BMS platforms, mechanical controls troubleshooting, alarm strategy, trend analysis, and sequence optimization. Familiarity with predictive maintenance technologies, thermal modeling, CFD, digital asset management, CMMS data quality, or reliability analytics. Experience developing mechanical standards, SOPs, MOPs, EOPs, RCA templates, training materials, and engineering governance processes. Key Competencies Mission-critical mechanical engineering expertise. Operational reliability mindset and strong risk recognition. Ability to identify design, construction, commissioning, and operating issues before they become outages. Practical understanding of how design and construction decisions impact long-term operations. Strong troubleshooting, incident response, and root cause analysis capability. Clear technical communication and cross-functional leadership. Discipline around change management, documentation, governance, and lessons learned. Ability to create scalable standards for a growing operating portfolio. Success Measures Improved mechanical system reliability and reduced repeat mechanical incidents. Strong uptime performance across supported data center sites. Successful transition of new sites from design and construction into stable operations. Reduction in emergency corrective maintenance related to mechanical systems. Improved mechanical asset health visibility and long-term capital replacement planning. Standardized mechanical maintenance practices, technical documentation, and operating expectations across the portfolio. Fewer design, commissioning, and turnover issues impacting operations. Increased technical capability of site operations teams and reduced reliance on external consultants for core mechanical expertise. Overall reduction in operational SLA violation risk due to operational support (programs/processes/tooling). What We Offer (Dallas): Competitive base salary and discretionary bonus Flexible Time Off (i.e. unlimited paid vacation days) Company paid Holidays (14) Company paid sick leave Company-paid health and protective benefits for employees, partners, and other dependents 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Ginger Free daily snacks in-office Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us as we grow the economy that runs on code. 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, New York, United States About the Role iCapital is looking to hire an Annuities Sales Analyst to join the Annuities team. This role will support the Annuities team assisting with the management, development, and maintenance of the Annuities platform for clients. iCapital Solutions develops and manages the technology platform experience for many of iCapital’s largest clients throughout the United States. This individual will be responsible for supporting senior members of the team in maintaining the daily operations of the Annuities platform and in developing and executing the company’s strategy. Responsibilities Serve as a main contact point for annuity clients, managing relationships and ensuring their needs are met. Support the development of new and existing relationships with distribution partners to advance the product category for the company. Lead and conduct training for internal and external partners, ensuring they are well-versed in the platform's features and capabilities. Support the development and execution of the company’s overarching strategy aimed at supporting the Annuities business line. Assist in the creation, maintenance, and distribution of data to carrier and distributor partners, ensuring accuracy and timeliness of all information. Manage clients’ expectations by troubleshooting and resolving any issues related to the platform. Take ownership of projects, providing strong analytical support to teammates and ensuring successful execution of tasks. Aggregate, maintain, and analyze large data sets to drive informed decision-making. Develop presentations with significant data and analysis for internal and external meetings and projects. Work alongside the sales and finance team to develop meaningful measurements of success for the Annuities platform. Partner with the Compliance team to ensure all regulatory requirements are met as we onboard new clients. Drive process improvements, in part by leveraging teams, technology, and automating data-related workflows. Collaborate with the Engineering team to ensure the platform operates efficiently and meets the needs of clients. Qualifications Bachelor’s degree in a related field 1+ year(s) of relevant experience in trading, business development, or relationship management in the financial market industry or internship within a relevant field Strong analytical and problem-solving skills and a high level of attention to detail Strong written and verbal communication skills Able to successfully operate in a fast-paced environment Strong communication skills are essential, as the success of this position requires continual interaction with internal teams as well as clients Strategic mindset and able to work independently Demonstrated client service skills with stakeholders and clients Excellent organizational skills Desire to work in a cross-functional and collaborative environment Proficient in Excel and PowerPoint Series 7, 63 certifications are preferred; or attained within 120 days of hire Knowledge of financial products, and annuities, is preferred Motivated, detail-oriented, and able to independently solve problems Proactive team player with a positive attitude, willingness to roll up one’s sleeves and get the job done, and a desire to work in a fast-moving entrepreneurial environment Microsoft office skills are required (Word, Excel, PowerPoint) Benefits The base salary range for this role is $70,000 to $80,000. This position is paid on an hourly basis and is classified as non-exempt. Employees in this role are eligible for overtime pay in accordance with applicable law. iCapital offers a compensation package that includes equity for all full-time employees and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer-matched retirement plan, generously subsidized healthcare with 100% employer-paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: New York, New York, United States About the Role iCapital is seeking an Assistant Vice President to join the Asset Manager Solutions International team, to contribute to the development and execution of iCapital’s global strategy. This individual will support the Asset Manager Solutions team in building and managing relationships with leading alternative asset managers. The role focuses on supporting the onboarding, structuring, and distribution of private market funds on the iCapital platform, working closely with senior coverage professionals and cross‑functional internal teams. Responsibilities Work with senior relationship managers in covering and servicing private equity, private credit, and alternative asset managers with global capital raising strategies. Assist with the structuring and launch of investment products for distribution through iCapital’s platform, including evergreen funds and feeder vehicles. Coordinate closely with internal teams including Legal, Compliance, Product, Operations, and Platform to execute fund onboarding and launches for global distributors. Prepare presentations and client meeting materials, internal memos, and meeting notes. Organize and lead calls with key global clients and internal and external stakeholders. Manage execution timelines, deliverables, and internal approval processes. Conduct market research and competitive analysis on private markets products and trends. Support business acquisition and ongoing client relationship management and respond to fund‑ and product‑related inquiries. Qualifications 5-7 years of relevant experience in asset management, fund formation, consulting, or financial services Bachelor’s degree is required; advanced degree or professional qualifications is a plus Strong interest in international activities, alternative investments and private markets Understanding of fund structures and investment vehicles is preferred Strong analytical, organizational, and problem‑solving skills Excellent written and verbal communication skills Able to work collaboratively across teams and manage multiple priorities Detail‑oriented with a strong execution mindset Comfortable interacting with senior internal and external stakeholders Team‑oriented and adaptable in a dynamic environment Work experience outside the US is a plus Benefits The base salary range for this role is $110,000 to $130,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. The Finance, Brokerage and Market Risk Data Science team is a dynamic group of data scientists and analytics developers who deliver high-quality financial metrics and advanced analytics that drive key decisions at Wealthsimple. We support financial planning, treasury operations, liquidity management, and brokerage risk assessment for products like margin trading and options. Our team has created a solid foundation for data-driven financial decision-making. Now we're ready to scale these initiatives, optimizing financial resources and enhancing risk management as our product offerings grow increasingly sophisticated. In this role, you'll make a significant impact through advanced analytics that support both strategic financial planning and sophisticated market risk management across our expanding brokerage services. IN THIS ROLE, YOU WILL HAVE THE OPPORTUNITY TO: - Own the development and maintenance of the finance and market risk data marts, optimizing for performance, data quality, reliability, and efficiency - Design, build, and document robust data pipelines that generate critical financial reports and metrics for stakeholders across the organization - Build, automate, and maintain brokerage reporting & monitoring systems, ensuring data integrity and accuracy across financial processes - Partner closely with business stakeholders in brokerage and market risk to launch and support new financial products and model development initiatives - Create insightful dashboards and visualizations to monitor brokerage KPIs, profitability metrics, and regulatory reporting requirements - Provide business intelligence support for trade and collateral monitoring, financial reporting, product performance analysis, and forecasting initiatives - Translate complex business requirements into scalable analytics solutions that address key financial and risk management needs - Participate in code reviews and contribute to best practices for data engineering and analytics development - Mentor junior team members and share knowledge to elevate the team's technical capabilities WHAT YOU BRING: - 5+ years of experience in data engineering or analytics development, with demonstrated expertise in data mart architecture, design, and management - Strong proficiency in SQL with the ability to write complex queries, optimize performance, and work with large-scale datasets - Experience working at brokerage operations or financial services, with knowledge of accounting principles and market risk concepts (preferred) - Familiarity with regulatory reporting requirements and financial product structures (a plus) - Hands-on experience building and orchestrating data pipelines using modern tools such as dbt, Airflow, or similar workflow management platforms - Working knowledge of cloud infrastructure, particularly AWS services (S3, Redshift, Snowflake or equivalent) - Proficiency in Python for data manipulation, automation, and scripting - Experience with version control systems, particularly Git and GitHub, including branching strategies, pull requests, and code reviews - Proven ability to translate complex business requirements into scalable, data-driven solutions - Strong data visualization skills with experience using tools such as Tableau, Looker, Power BI, or similar platforms - Understanding of analytics engineering principles and best practices for building maintainable, well-documented data models - Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders - Demonstrated ability to collaborate effectively with cross-functional teams, including finance, risk, and product teams WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: New York, NY Workplace: OnSite About the Company Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. ABOUT THE ROLE Rain is hiring a Senior Product Manager to own our onchain surface — the blockchain layer that everything else at Rain depends on. Stablecoins only work as real-world money if the onchain side is fast, safe, and invisible: collateral held in contracts, settlement across chains, custody and wallet architecture, and the asset and network coverage our partners need to operate globally. This role owns that. This is a senior individual contributor role. You'll be the directly responsible PM for onchain end to end: smart contracts and protocol design, chain and asset integrations, settlement and treasury flows, and the infrastructure underneath it all. You'll work closely with engineering, security, compliance, legal, and directly with our fintech, neobank, and institutional partners. WHAT YOU'LL DO - Own the roadmap for Rain's onchain product — smart contracts, chain and asset coverage, settlement, and payments — and drive it end to end - Partner deeply with engineering on protocol and infrastructure tradeoffs (contract architecture and upgradeability, collateralization and liquidation logic, node/RPC reliability, gas and fee strategy, bridging and cross-chain messaging) and translate them into partner-facing product decisions - Decide which chains, assets, and stablecoins Rain supports and when — build the framework for those calls across liquidity, security, cost, partner demand, compliance considerations, and regulatory exposure - Drive the security bar for onchain work — audits, monitoring, incident response, and the operational guardrails that go with holding real value onchain - Translate complex protocol and blockchain infrastructure into intuitive product surfaces and clear partner-facing documentation - Gather feedback directly from partners, distill it into sharp prioritization, and push the team toward the highest-leverage work - Measure ruthlessly, iterate quickly, and set a bar others want to work to WHAT WE'RE LOOKING FOR - 8-10 years of product management experience, with a track record of shipping products from zero-to-one through scale at a product-led company with a strong engineering culture and high bar for quality - Deep, hands-on blockchain fluency — you've shipped onchain products and can reason unaided about EVM and Solana mechanics (and other chains), smart contract design and upgrade patterns, gas economics, bridging models, and other onchain tradeoffs - Exceptional product judgment and analytical rigor — you're someone others describe as one of the sharpest PMs they've worked with, and you consistently raise the bar for the people around you - A senior, autonomous operator who can define the problem, drive the plan, and own the outcome without needing close direction - Sound instincts on onchain security and risk: you know where value gets lost, you push for audits and monitoring before incidents rather than after, and you can weigh a shipping deadline against a real risk without flinching - Strong technical fluency beyond the chain itself (APIs, distributed systems, payments and ledger design) and the instinct to pull on technical threads yourself rather than defer to engineering - Genuinely excited to live in the details — you believe product quality is won in the specifics and are energized by the work to get them right - Excellent written and verbal communication; you can operate with sophisticated external partners and internal engineering teams with equal ease - Proven ability to ship quickly, measure adoption, and iterate in a fast-moving environment NICE TO HAVE, BUT NOT MANDATORY - Experience with stablecoin issuance, onchain lending or collateralized credit, or tokenized asset products - Background at a protocol, L1/L2, wallet, custodian, or onchain infrastructure company - Familiarity with non-EVM ecosystems (Solana, Tron, Bitcoin L2s) and multi-chain operations at scale - Experience with payments, card issuing, or cross-border fintech products - Working knowledge of the regulatory landscape around digital assets and custody - Previous startup or hypergrowth environment experience Things that enable a fulfilling, healthy, and happy experience at Rain: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: New York, New York, United States About the Role iCapital is seeking a highly motivated, entrepreneurial, and experienced operations professional who will play multiple critical roles in supporting Outcome Driven Strategies (ODS), the Separately Managed Account platform for Structured Investments. This position sits at the intersection of portfolio management, trading, operations, and client services, helping ensure accounts are invested efficiently, trades are executed accurately, and structured note portfolios are monitored throughout their lifecycle. Responsibilities Execute structured note trades in accordance with ODS portfolio construction guidelines and trading procedures. Prepare and review trade allocation files, account-level trading proposals, and validate allocations across SMA and UMA accounts. Support note purchase cycles, reinvestment activity, portfolio rebalancing, cash deployment, and liquidity management. Coordinate reinvestment of proceeds from maturities, calls, coupon payments, contributions, and distributions. Coordinate trade execution and settlement activities with partner banks, including final terms, notional amounts, trade confirmations, and settlement instructions. Maintain compliance with portfolio guidelines, including position concentration limits, issuer exposure limits, credit quality requirements, and liquidity thresholds. Coordinate RFP and DDQ responses to support broker-dealer onboarding and due diligence processes. Identify operational efficiencies, technology enhancements, and scalable solutions to support ODS growth, new strategy launches, and network expansion requirements. Serve as the primary operational contact for financial advisors and platform partners, responding to account, trade, cash management, and portfolio implementation inquiries. Coordinate resolution of account-level issues across custodians, advisors, and internal stakeholders while delivering a high-touch client service experience. Generate client, advisor, and internal management reporting, including dashboards, KPI tracking, and operational analytics. Support compliance reviews, audits, due diligence initiatives, marketing requests, and other data reporting needs. Maintain and enhance operational procedures, controls, and documentation. Qualifications 10-15+ years of experience in trading and investment operations, portfolio administration Familiar with fixed income, structured products, alternative investments, or managed account platforms Understanding of trade settlement, corporate actions, and portfolio reconciliation processes Experience in a "client-facing" operational role; comfortable translating complex issues into clear updates for advisors Intermediate to Advanced Microsoft Excel skills (Pivot Tables, Data Lookups) and familiar with portfolio accounting systems Strong coordination across portfolio managers, issuing banks, custodians, advisors, and internal systems Demonstrated ability to balance operational excellence with an investment-oriented mindset while solving complex challenges in a growing asset management environment Benefits The base salary range for this role is $155,000 to $200,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Home Based - Americas; Home Based - APAC; Home based - EMEA With more than 10 billion pulls , Canonical's container images are trusted by developers worldwide to build and run software securely and at scale. That trust rests on our commitment to hardened, production-ready images. We are advancing the state of the art with a new generation of Ubuntu-based container images we call "rocks": minimal images engineered for performance and usability and backed by long-term security commitments. As a member of the team, you will own the path from upstream source to published image, turning open source software into tested, signed, and continuously maintained artifacts that developers can deploy with confidence. This is fast-paced, multi-disciplinary software engineering. Because most of the software we package originates from third-party upstreams, you will work across a broad range of container technologies and hundreds of open source projects, often in several programming languages, integrating and maintaining them so they are easy to consume on Ubuntu. Automation is central to the role: you will build the pipelines that package, build, test, and publish images at scale. Your seniority in this role will reflect your software engineering experience and your ability to mentor and guide more junior colleagues. Location: This is a globally remote role This role entails Build and maintain a growing portfolio of high-quality, hardened container images Design and operate automated CI/CD pipelines that build, test, scan, sign, publish, promote, and retire images across environments and architectures Write tooling and tests to assess security compliance and cloud-native compatibility Work closely with the community and partners to share container expertise and keep our portfolio current with new features, patches, and applications Collaborate with our product security, platform, infrastructure, and customer-facing teams Contribute technical input to the team's decision-making Set the standard for quality, defining image standards that span security, compatibility, performance, size, and developer experience Grow our knowledge base and write about the work we do Work in a collaborative, agile, and globally distributed environment Mentor colleagues and contribute to hiring Work from home with global travel of up to 15% for internal and external events What we are looking for in you Proficiency in Bash and Python Experience working with CI/CD systems (e.g. GitHub Actions, Jenkins) Experience building container images Command of at least one container management or orchestration tool (e.g. Docker, Podman, or Kubernetes) Hands-on experience with Linux systems, package management, build systems, release engineering, or artifact pipelines Clear communication and end-to-end ownership, spanning design, review, documentation, operation, and cross-team collaboration A commitment to sharing knowledge and helping those around you grow A genuine appetite for learning and for working outside your comfort zone A Bachelor's degree or equivalent in Computer Science, a STEM field, or a similar discipline An exceptional academic track record from both high school and university Business level written and spoken English. Sincere personal motivation aligned with our mission. International travel 2-4 times a year for company events up to two weeks long. 0-7 years relevant experience. In addition we expect that you will match our values, by being: Precise, taking care to deliver correctness and clarity. Reliable, delivering high quality work that builds trust and confidence. Accessible, collaborating to build products and systems that are usable. Adroit, blending enthusiasm, knowledge, adaptability, style and character. Nice-to-have skills A security-oriented maintenance mindset: you can investigate dependency and vulnerability findings, assess their impact, and deliver a safe fix An understanding of software supply chain security, with some experience generating and consuming artifacts such as SBOMs, signatures, provenance, or CVE reports Familiarity with GitOps principles and workflows Familiarity with additional languages such as Go or Rust Hands-on experience building minimal and distroless container images Knowledge of the OCI specifications Familiarity with security or compliance frameworks such as CIS, NIST, FedRAMP, or DISA STIG Evidence of contributions to open source projects A passion for embedding security across all stages of the engineering lifecycle (DevSecOps), and an interest in using AI or agentic development responsibly and safely Relevant Linux, container, or cloud-native certifications (such as CKS or DCA) are welcome If your experience is close but does not match every requirement, we encourage you to apply. We value transferable experience from Linux packaging, release engineering, build systems, platform engineering, and open-source maintenance. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Bi-annual compensation review Company recognition rewards 40 days annual leave per annum, including public holidays and our All Company holiday periods Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing. Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration .

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. To be eligible for this role, you need to graduate in December 2026 and be able to start full time by January/February 2027. WHAT YOU'LL ACHIEVE: - You'll work with others to plan, shape, and build new product features from start to finish: through conception, research, implementation, and maintenance. For example, you might work on driving adoption, by instrumenting key onboarding moments and iterating on activation flows. - You'll help improve performance and reliability, or polish existing features. For example, you might update our spell checker to sync dictionaries across browsers or improve search to index file attachments. - You'll build internal tools to support simplicity and productivity for the whole team. This might include writing a script to import user feedback into Notion. QUALIFICATIONS: - Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. - To be eligible for this role, you need to graduate by Dec 2026 and be able to start FTE by January/February 2027. - Previous internship experience. - Working towards a proficiency of one or more programming languages such as TypeScript, Node.js, or Python. SKILLS YOU'LL NEED TO BRING: - Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. - You stay current with the latest tools like Codex, Claude Code, and other AI-assisted development environments. You're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users. - Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck. You think about the implications of what you're building and how it will impact real people's lives. - Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same. - Passion for web applications: You can work with others to build and maintain quality user interfaces for a big audience, using Web technologies like HTML, CSS, JavaScript, and a modern UI framework like React. - Familiarity with backend systems: You understand how parts of a system fit together—from the user interface to the data model. Familiarity with database systems like Postgres, MySQL or MongoDB is a plus. NICE TO HAVES: - You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch. - You’re a builder who finds joy in building software solutions for yourself or others. - You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship. - You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated salary range for this role is $135,000 - $155,000 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. This internship will take place from May 17 - August 6 or June 14 - Sept 3 (based on your summer schedule) and you will need to be able to work out of our NY or SF office during this time. WHAT YOU'LL ACHIEVE: - Write clean, secure, tested, and documented code. - Design & enhance the Notion product with new capabilities with an AI first mindset - Develop, fix and debug software for across our full stack: web services, databases, applications, tools while leveraging modern frameworks and tooling. QUALIFICATIONS: - Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. Must graduate before Summer 2028. - This internship will take place from May 17 - August 6 or June 14 - Sept 3 (based on your summer schedule) and you will need to be able to work out of our NY or SF office during this time. - Previous internship experience. - Working towards a proficiency of one or more programming languages such as Typescript, Node.js, or Python. - You find large challenges exciting and enjoy discovering problems as much as solving them. - You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment. SKILLS YOU’LL NEED TO BRING: - Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck. - Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad. - Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go. - Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. - Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same. - AI enthusiast: You have built or prototyped features with AI technologies (LLMs, Embeddings, ML) and are interested in learning more NICE TO HAVES: - You have expertise with specific technologies that are part of our stack, including Typescript, React, Python. - You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. - You have interests outside of technology, such as in art, history, or social sciences. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated hourly range for this role is $57/hr for Bachelors and $61/hr for Master’s. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

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 As a Strategic Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI by securing strategic deals with top enterprises across key industry verticals, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across key industry verticals. The ideal candidate will have a passion for developing industry-specific market segments, pinpointing high-potential opportunities within key industry verticals, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue within a book of strategic industry accounts. Own the full sales cycle from prospecting to close, identifying and developing new opportunities across multiple business units and use cases within key industry verticals Navigate complex organizational structures and build consensus among diverse stakeholder groups. Develop multi-threaded relationships from individual contributors to C-suite executives across industry enterprises Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze your industry accounts' landscape, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead expansion by pinpointing new use cases and business units within key industry verticals. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge within your strategic industry accounts Own sophisticated deal cycles involving multiple stakeholders, technical evaluations, and complex procurement processes. Demonstrate resourcefulness when faced with challenges that defy easy solutions Build and maintain accurate pipeline forecasting while ensuring high forecast accuracy and consistency. Identify a robust set of business drivers behind all opportunities Inform product roadmaps and features by gathering customer feedback and conveying key industry market needs. Provide insights that strengthen our value proposition and enhance the customer experience within industry verticals Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency across key industry verticals You may be a good fit if you: 10+ years of enterprise sales experience with a proven track record of closing complex deals with strategic accounts. Experience managing sophisticated sales cycles and securing deals with extended timelines and multiple stakeholders across key industry verticals Experience selling emerging technologies or complex solutions to large industry enterprises. Ability to navigate technical evaluations and translate complex capabilities into business value for industry-specific use cases Strong executive presence with demonstrated ability to engage C-suite executives and senior stakeholders. Experience presenting to boards and aligning solutions with strategic business initiatives within key industry verticals Exceptional relationship building skills with proven ability to develop multi-threaded relationships across large organizations. Experience building consensus among diverse stakeholder groups in industry environments Consultative sales approach with a focus on understanding customer business challenges and crafting tailored solutions. Ability to position yourself as a strategic advisor rather than a vendor within key industry verticals Strong cross-functional collaboration skills with an ability to mobilize internal resources including product, engineering, and partnership teams. Experience coordinating complex deals that require multiple internal stakeholders Resourcefulness and problem-solving abilities when faced with complex challenges. Demonstrated ability to navigate ambiguous situations and find creative solutions High level of organization and attention to detail with strong forecasting accuracy. Ability to manage multiple complex opportunities simultaneously Passion for AI and emerging technologies with enthusiasm for helping industry organizations transform through responsible AI deployment. Strong alignment with Anthropic's mission of developing safe, beneficial AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 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. 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: United States Workplace: remote About the Role We are looking for detail-oriented Generative AI Analysts to support a variety of AI training, data annotation, evaluation, and quality review projects.   Project Details Job Title: Generative AI Analyst - Spanish (US)  Location: Remote (US) Employment Type: Freelance Pay Rate: 15 USD/per hour Depending on the project, you may work with text, translations, audio, transcriptions, images, video, or other AI-generated content. Tasks and project requirements may vary based on the program you are assigned to.   Disclaimer  Projects are subject to client requirements and may change. Completion of the application, assessment, and onboarding process does not guarantee assignment to a specific project or a minimum amount of work. This is a human-in-the-loop AI training environment. The use of generative AI tools is prohibited unless explicitly authorized for a specific project. All work must be completed independently using your own knowledge and judgment.  You must comply with all data privacy, security, and confidentiality requirements. Do not store, copy, or share project data outside approved tools and channels. What You’ll Do Review, evaluate, and validate AI-generated content and data according to project guidelines. Compare AI-generated outputs and identify the most accurate, relevant, or high-quality result. Identify errors, inconsistencies, omissions, and quality issues. Annotate, categorize, or label text, audio, images, video, or other data where required. Provide clear written feedback or justifications for your evaluations. Complete assigned tasks independently and within established timelines. Follow project and client guidelines consistently and maintain a high level of accuracy. Attend live office hours and training sessions to familiarize yourself with project guidelines, clarify questions, and prepare for task assignments. Requirements: Native-level fluency in Spanish (US) (written and spoken) . Experience in Generative AI evaluation, data annotation, translation, linguistics, content quality review, transcription, data labeling, or a related field is preferred. Strong English proficiency and written communication skills. Excellent attention to detail, critical thinking, and judgment. Ability to follow detailed guidelines and apply evaluation criteria consistently. Comfortable working independently with structured, repetitive tasks. Familiarity with annotation or evaluation platforms is a plus. Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.