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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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. App Infrastructure is the team behind Affirm's shared mobile app infrastructure — the platform every other mobile feature team builds on. We own the app’s shared components: design system, networking, observability, experimentation, CI/CD, app releases, developer tooling, availability/stability, and more. We care about ownership: shipping tools and runbooks other teams actually adopt, writing specs before building, and being the go to experts for the mobile tech stack . We're small, technical, and highly collaborative. What You'll Do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For You have 7+ years of experience of developing and architecting mobile applications; 4+ using React Native You are proficient in working with Javascript/Typescript. You have hands-on experience with React Native and Expo, and have authored or migrated native modules and components. You have experience with complex state management in a React app. Proficiency with Redux Toolkit is bonus You have performed React Native SDK major updates, and you can debug across the JS↔native boundary under the New Architecture. You stay up-to-date on native OS releases and can anticipate how they land in a React Native app You have experience with mobile testing and observability tooling — E2E frameworks like Maestro/Appium, crash reporting Sentry/Crashlytics, and experimentation/feature-flagging platforms like Statsig/LaunchDarkly — and enjoy building tooling other teams actually adopt. You are proficient and up to date on AI-assisted development — Claude Code or comparable agentic tooling — and apply judgment about where agents help, where they need guardrails, and how to keep the quality bar high. You have a proven track record of driving a team to execute large projects You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: CAD $181,000 - $241,000 Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. App Infrastructure is the team behind Affirm's shared mobile app infrastructure — the platform every other mobile feature team builds on. We own the app’s shared components: design system, networking, observability, experimentation, CI/CD, app releases, developer tooling, availability/stability, and more. We care about ownership: shipping tools and runbooks other teams actually adopt, writing specs before building, and being the go to experts for the mobile tech stack . We're small, technical, and highly collaborative. What You'll Do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For You have 7+ years of experience of developing and architecting mobile applications; 4+ using React Native You are proficient in working with Javascript/Typescript. You have hands-on experience with React Native and Expo, and have authored or migrated native modules and components. You have experience with complex state management in a React app. Proficiency with Redux Toolkit is bonus You have performed React Native SDK major updates, and you can debug across the JS↔native boundary under the New Architecture. You stay up-to-date on native OS releases and can anticipate how they land in a React Native app You have experience with mobile testing and observability tooling — E2E frameworks like Maestro/Appium, crash reporting Sentry/Crashlytics, and experimentation/feature-flagging platforms like Statsig/LaunchDarkly — and enjoy building tooling other teams actually adopt. You are proficient and up to date on AI-assisted development — Claude Code or comparable agentic tooling — and apply judgment about where agents help, where they need guardrails, and how to keep the quality bar high. You have a proven track record of driving a team to execute large projects You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - P Equity Grade - 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA Pacific base pay range (CA, WA, NY, NJ, CT): $230,000 - $290,000 USA Sapphire base pay range (all other U.S. states): $204,00 - $264,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

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 As Head of Technology Partnerships, you will make Claude's ecosystem of technology partners a primary engine of distribution, customer retention, and product innovation. This is a senior leadership role with no inherited playbook. You are a high agency leader and have a track record of building new functions and capabilities. You will set the strategic technology partner strategy, hold the senior relationships with partner executives, drive high-stakes strategic partnerships, build and scale joint businesses, manage technology partner leads, and drive business impact. You are highly commercial and fluent with technical capabilities. You will collaborate with Sales, Business Development, Product, Applied AI, Partner Programs, and Partner Marketing. Key responsibilities Set Anthropic's technology partner strategy: priority partners, investment levels, and business goals across strategic partners. Hold the executive relationships with our most strategic technology partners, establish joint business plans, and lead the highest-impact partnerships Define the "better together" story with each strategic partner, including the products, use cases, and industries we will take to market together, the ones we will not, and how we handle overlap between our products and theirs. Create repeatable co-build, co-sell, co-market, and marketplace motions. Shape partnership structures with Business Development and account teams across product integration, commercial terms, distribution, and joint go-to-market, then take accountability for outcomes once agreements are signed Represent technology partners inside Anthropic: shape product requirements for connectors, plugins, and Marketplace, and influence developer experience, partner economics, and program design. Build the measurement system for evaluating partner health and business impact. Minimum qualifications Have built and led a technology partnerships, alliances, or strategic partnerships function, including hiring and managing partner leads and owning the organization's revenue or consumption target Have personally led strategic partnerships with large enterprise software companies at the executive level Have delivered on complex partnerships that combine product integration, commercial terms, distribution, and joint go-to-market, working alongside legal, finance, and product Understand AI platforms, SaaS and consumption business models, cloud marketplaces, and enterprise go-to-market well enough to design a joint solution with a partner's product and field leaders, and to explain how Claude is embedded in and consumed through a partner's product Have credibility with partner C-level executives and with internal product, engineering, sales, finance, legal, and marketing leaders, and lead through influence in a matrix where account executives own the customer relationship Care about the safe and beneficial development of AI, and want the partnerships you run to reflect that Preferred qualifications Experience standing up an ecosystem business or partner function from scratch at a high-growth company and scaling it from first hires to a multi-team organization Experience leading partnerships, marketplace, or ecosystem with enterprise SaaS, data platform, or cybersecurity companies Experience building industry-specific or use-case-specific go-to-market plays with a partner and taking them to production at joint customers Working familiarity with how AI applications and agents are built on model APIs, agent SDKs, and the Model Context Protocol 12+ years in technology partnerships, business development, platform ecosystems, or enterprise software, including several leading teams 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: $365,000 — $425,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As a Solutions Consultant, Public Sector at Ramp, you’ll serve as the primary technical and financial advisor for government agencies, educational institutions, and nonprofits evaluating Ramp. You will guide prospective customers through technical discovery, design tailored solutions that align with compliance and security requirements, and deliver compelling demos that highlight Ramp’s ability to modernize financial workflows. Partnering closely with Sales, Product, Engineering, and Compliance, you’ll act as the bridge between complex customer needs and Ramp’s platform capabilities. Your role is equal parts storyteller, architect, and trusted advisor—helping public sector organizations unlock efficiencies while navigating procurement, compliance, and multi-stakeholder environments. WHAT YOU'LL DO - Lead Technical Discovery & Demos: Conduct deep technical and workflow discovery with public sector prospects; deliver customized demos showcasing Ramp’s value for finance, procurement, and compliance teams. - Design Public Sector Solutions: Architect secure, scalable solutions leveraging Ramp’s APIs, ERP integrations, and compliance frameworks to meet the unique needs of federal, state, and local governments. - Partner in Complex Sales Cycles: Collaborate with Account Executives to drive technical consensus across diverse stakeholders, translating technical concepts into strategic outcomes. - Support Security & Compliance Alignment: Ensure proposed solutions align with FedRAMP, SOC 2, HIPAA, CJIS, and relevant procurement requirements. - Guide RFPs & Proposals: Lead technical evaluations, respond to RFPs, and build ROI analyses that demonstrate Ramp’s value. - Collaborate Cross-Functionally: Work closely with Product, Engineering, and Compliance to prioritize integrations and share public sector customer insights that shape Ramp’s roadmap. - Enable Seamless Implementation: Partner with Customer Success on post-sale deployments, ensuring customers achieve value from Ramp quickly and securely. - Act as a thought leader in public sector finance modernization: participating in industry events, conferences, and customer workshops. WHAT YOU NEED - 5-7 years of experience in Solutions Consulting, Sales Engineering, or Solutions Architecture at a SaaS or fintech company. - Strong background in financial systems, accounting workflows, and ERP integrations. - Hands-on expertise with API integrations, SFTP configurations, and security protocols. - Experience supporting public sector organizations, with a working knowledge of procurement processes, compliance frameworks, and IT/security requirements. - Ability to influence and present to executive stakeholders across technical and business functions. - Proven success navigating long, multi-stakeholder sales/adoption cycles. - Bachelor’s degree in computer science, engineering, business, finance, or a related field. NICE TO HAVE - Familiarity with federal and state procurement frameworks. - Experience with government financial systems (e.g., Oracle, PeopleSoft, Workday, SAP). - Programming familiarity (Python, SQL, Java) for solution prototyping. - Cloud platform knowledge (AWS, Azure, GCP). - Project management certification (e.g., PMP, PMI-ACP). BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote - USA Workplace: Remote fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: You will build the public and private network infrastructure connecting all of fal's data centers and cloud environments, supporting both our public serverless platform and custom compute clusters. The scope includes internet routing, private connectivity, overlay networks, DNS, IP address management, cloud-provider integration, and high-performance Linux networking. You will work across the networking stack — from BGP announcements and private peering to kernel-level performance tuning. The goal is to make our network fast, reliable, secure, isolated, and easy to operate. What you'll do: - Design, build, validate, and operate public and private networks across the public platform and private compute clusters - Use AI aggressively to automate and accelerate network provisioning, configuration, validation, monitoring, and recovery - Manage ASNs, public IP prefixes, and private address space (allocation, registration, announcement, lifecycle) - Build and operate BGP routing: route policies, communities, filtering, traffic engineering, and failover - Announce customer and company IP ranges from physical infrastructure and cloud providers, including BYOIP integrations - Establish private peering with customers, partners, data centers, internet exchanges, and cloud providers - Build private and overlay networks using VXLAN, IPsec, WireGuard, and Tailscale - Operate DNS networking patterns including anycast DNS and mDNS - Tune the Linux networking stack for high throughput, low latency, and large connection counts - Build network observability and diagnostics using metrics, logs, flow data, active probes, and packet captures - Develop reusable tooling, standards, documentation, and runbooks - Collaborate with customers and internal teams to translate connectivity, security, isolation, and performance requirements into sound network designs Qualifications/Nice to Have: - 5+ years building and operating production network infrastructure - Strong Linux networking: routing tables, policy routing, network namespaces, bonding, VLANs, bridges, firewalling, NAT, conntrack - Deep BGP knowledge: route selection, communities, filtering, convergence, multipath, troubleshooting - Experience managing ASNs, public IP space, BGP announcements, IPAM, RPKI/ROAs, IRR records - Experience designing private IPv4/IPv6 address plans and preventing cross-customer/region conflicts - Production VXLAN overlay network experience - Production IPsec, WireGuard, or Tailscale experience - Experience with anycast DNS and mDNS - Experience with private peering and cloud provider interconnects - Linux networking performance tuning: congestion control, queue disciplines, socket buffers, MTU, NIC offloads, RSS/RPS/XPS, IRQ affinity - Packet-level troubleshooting: iproute2, tc, ethtool, tcpdump, Wireshark, mtr - Ansible or equivalent network configuration automation - EVPN as a VXLAN control plane - FRRouting, BIRD, or similar software-routing platforms - AWS Direct Connect, Google Cloud Interconnect, Azure ExpressRoute - Internet exchanges, cross-connects, route servers, colocation networking - DDoS detection, mitigation, scrubbing, BGP-based traffic diversion - eBPF, XDP, DPDK - NetBox, Nautobot, Nornir - Authoritative or recursive DNS infrastructure at scale - Network hardware: Arista, Juniper, Cisco - Kubernetes networking, service load balancing, CNI - Python or Go WHAT WE OFFER AT FAL - Interesting and challenging work - A lot of learning and growth opportunities - We offer visa sponsorship and will help you relocate to San Francisco. - Health, dental, and vision insurance (US) - Regular team events and offsites COMPENSATION - $180,000 - $250,000 + equity + comprehensive benefits package U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

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 within Galaxy's Data Center team. 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: Atlanta, GA, United States; Austin, TX, United States; Baltimore, MD, United States; Charlotte, NC, United States; Chicago, IL, United States; Denver, CO, United States; Miami, FL, United States; New York, NY, United States; San Francisco, CA, United States; Seattle, WA, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the role Fanatics Markets is Fanatics' prediction market platform, letting users trade contracts across sports, finance, economics, culture, and crypto. We're building out our trading desk to provide liquidity, manage risk, and ensure tight, fair markets across our contract slate. We're looking for a Senior Trader with hands-on market making experience to help scale this function as we expand into new states and asset classes. What you'll do Make markets and manage risk across sports and financial prediction contracts Design and develop models to generate real-time fair values for event-driven outcomes Partner with quants, product and engineering to productionize models for live trading Monitor, validate, and iterate on production models, continuously improving predictive accuracy and trading outcomes while ensuring robustness and operational stability of pricing models Identify and execute market-take opportunities arising from model insights and prediction-market dynamics Design & implement trading strategies to maximise volume and revenue while scaling automated decision-making Manage forecasting along with P&L reporting Monitor exposure limits and escalate risk issues. Partner with product, quant, engineering, and compliance teams to launch new markets and contract types Help mentor junior traders and shape trading desk processes as the team grows What you'll bring Bachelor’s degree or higher in a technical or quantitative discipline (e.g., Mathematics, Statistics, Computer Science, Physics, Economics). 5+ years of professional trading experience in market making, options/derivatives, prop trading, or sports betting trading Experience with prediction or financial markets — market structure, pricing mechanics, and liquidity dynamics Experience managing a live book under time pressure, with sound risk discipline Strong grasp of trading concepts, with the ability to think critically about uncertainty and model assumptions Strong communication skills and ability to work cross-functionally with traders, product and engineering teams Familiarity with CFTC-regulated markets, exchanges, or clearing houses Interest in sports and event-driven markets Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $132,000 — $165,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Atlanta, GA, United States; Austin, TX, United States; Baltimore, MD, United States; Charlotte, NC, United States; Chicago, IL, United States; Denver, CO, United States; Miami, FL, United States; New York, NY, United States; San Francisco, CA, United States; Seattle, WA, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the role Fanatics Markets is Fanatics' prediction market platform, letting users trade contracts across sports, finance, economics, culture, and crypto. We're building out our trading desk to provide liquidity, manage risk, and ensure tight, fair markets across our contract slate. We're looking for a QuantTrader with hands-on market making experience to help scale this function as we expand into new states and asset classes. What you'll do Make markets and manage risk across sports and financial prediction contracts Design and develop pricing models to generate real-time fair values for event-driven outcomes Partner with product and engineering to productionize models for live trading Monitor, validate, and iterate on production models, continuously improving predictive accuracy and trading outcomes while ensuring robustness and operational stability of pricing models Identify and execute market-take opportunities arising from model insights and prediction-market dynamics Design & implement trading strategies to maximise volume and revenue while scaling automated decision-making Partner with product, quant, engineering, and compliance teams to launch new markets and contract types What you'll bring Bachelor’s degree or higher in a technical or quantitative discipline (e.g., Mathematics, Statistics, Computer Science, Physics, Economics). 2+ years of professional trading or modeling experience in fast moving competitive environments such as  market making, options/derivatives, prop trading, or sports betting trading Experience integrating data and models into production Strong grasp of trading concepts, with the ability to think critically about uncertainty and model assumptions Python proficiency, including strong experience with data manipulation, statistical analysis, and automation. Passion for and strong understanding of sports and event-driven markets Flexibility with working hours to align with global sporting schedules. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $105,600 — $132,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Worldwide Workplace: Remote Veda builds vault infrastructure for DeFi at scale. We manage Billions in total value locked across 15+ blockchain networks, powering yield strategies for partners including Kraken, Etherfi, MetaMask and Plasma. Our protocol turns complex multi-chain DeFi positions into simple vault interfaces that institutional and retail users can actually trust. We seek individuals with high agency to join us in defining the next phase of DeFi growth and adoption. The ideal candidate takes ownership, thrives in a fast-paced environment, and adapts swiftly to evolving demands. THE ROLE As a Backend Engineer focused on Solana, you will help build secure DeFi products across on-chain programs and the backend systems that support them. You will work on protocol integrations, transaction infrastructure, product APIs, and production operations. This is a hands-on role combining smart contract engineering, backend development, and applied security for systems that manage real assets. RESPONSIBILITIES - Design, build, and maintain Solana programs and backend services that power Veda’s DeFi products. - Own features end to end, from technical design and implementation through testing, deployment, monitoring, and ongoing improvement. - Integrate third-party DeFi protocols and infrastructure, evaluating technical and economic risks and maintaining those integrations as external systems evolve. - Build reliable APIs, data pipelines, SDKs, and internal tools that connect on-chain functionality with user-facing products and operational workflows. - Design for security and financial correctness, including clear trust boundaries, safe state transitions, access control, precision, reconciliation, and recovery from partial failures. - Improve the scalability, reliability, performance, and developer experience of our Solana platform. - Develop comprehensive automated tests, participate in security reviews and audits, and drive findings through remediation and production verification. - Collaborate closely with product, engineering, research, and external partners while documenting important technical decisions and operational procedures. YOU HAVE - Strong professional experience with Rust and the ability to reason about security-critical systems code. - Deep knowledge of Solana and the SVM, including its account model, transaction lifecycle, token standards, performance constraints, and common security considerations. - Experience building Solana programs and the backend services or SDKs that configure, invoke, index, or operate them. - Experience designing and operating production APIs and distributed services in a language such as Python or TypeScript. - Strong DeFi fundamentals, including vaults, lending, trading, liquidity, fees, pricing, and cross-chain systems. - A security mindset and experience building systems that handle real money, with careful attention to correctness, auditability, and incident response. - Strong testing practices across unit, integration, and end-to-end environments, including working with real external dependencies. - High agency and clear communication. You can turn an ambiguous problem into a reviewed design, incremental implementation, production rollout, and durable handoff. EVEN BETTER IF YOU HAVE - Production experience with Anchor, native Solana development, and the Solana token ecosystem. - A track record of deploying, auditing, or maintaining smart contracts that secure meaningful value. - Experience integrating with major Solana DeFi protocols or building vault, lending, trading, staking, or bridge products. - Knowledge of EVM smart contracts or cross-chain systems. - Experience with secure key management, multisig or custody workflows, and institutional blockchain infrastructure. - Experience with cloud-native services, event-driven systems, containers, deployment pipelines, and production observability. - Contributions to open-source blockchain infrastructure or comfort using modern agentic development tools without weakening engineering judgment. WHAT YOU’LL WALK INTO We’re a 35-person team that has raised $18M at Series A. Veda’s infrastructure is already running in production and supporting billions in TVL, and Solana is an important area of continued investment. You’ll help expand our capabilities, strengthen reliability and security, and make the platform easier for the team to extend as the business grows. The work is highly collaborative, ownership-focused, and close to both product and protocol design. COMPENSATION Competitive base salary plus equity. We’re a Series A company heading toward Series B, early enough that your equity is meaningful, late enough that the business is real. Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

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: Remote Workplace: remote 🌎 About Us TeamSnap is made up of innovators, technologists, builders, and problem-solvers shaping the future of youth sports. We’ve been setting the standard in youth sports technology since we were founded in 2009.  We hire for big ideas and tiny egos — which is part of how we landed on Outside Magazine's Best Places to Work, Built In's 100 Best Remote-First Places to Work and, for several years running, Sports Business Journal’s Best Places to Work in Sports.   TeamSnap is seeking a Senior Software Engineer (Backend) interested in working across the stack to join our fully distributed engineering team to help us continue our impressive growth from 2+ million daily active users to beyond! Our stack primarily includes Node.js, TypeScript, and SQL.  As an engineering team, we design and build scalable systems using a service-oriented and event-driven architecture that serve millions of daily users and some of the largest youth and amateur sports organizations in the world. Our team values collaboration in a remote culture, so we regularly participate in pair sessions and virtual team swarms to stay connected and improve the team and company. What You'll Do: Develop engaging experiences for our millions of users across our mobile and web applications. Design and implement scalable apps and services, integrating these into an evolving unified product and system architecture. Brainstorm and evaluate new product features in collaboration with the product and UX team. Collaborate and pair with other developers to develop solutions and teach technical skills. Contribute to our development standards within the team and across engineering to ensure code quality, adherence to standards, and identify opportunities for improvement Champion and implement automated testing practices to uphold the dependability and stability of backend systems, while also taking ownership of the overall reliability of the team's services. Actively engage in on-call responsibilities and contribute to incident management efforts. Evaluate and test new technologies to help TeamSnap move faster or serve our users more effectively. Help teammates overcome obstacles, resolve blockers, and complete work tasks. What Will Set You Up for Success: 5+ years of relevant experience, leading large projects on high-scale, distributed software systems as a software engineer Proficient in backend development with Node, Python, Golang, Ruby or similar. Experience with direct usage of SQL and relational databases such as MySQL / GCP Cloud SQL along with migrations, profiling, and optimization of such databases. Hands-on experience developing APIs, services for mobile applications and web clients at scale. Successfully delivered complex projects including debugging problems that may span a number of systems. Experience working with and architecting APIs, event streams, webhooks , etc. Experience working within and towards a distributed system. Extra points if you’ve built services for livestreaming, advertising, or subscriptions. Got cold feet? If you’re thinking you don’t meet 100% of the above qualifications, you should still seriously consider applying. We’re all humans with special talents that go beyond what’s listed here.   Compensation We’re committed to equitable compensation for all TeamSnappers. The minimum starting point for this role is $150,000, inclusive of base and bonus, with comp updated based on multiple factors. Our comp is highly competitive in our space and we adjust overall comp based on relevant experience, skills, certifications, and geographic location.  🖥 Location TeamSnap is a fully remote company, so you'll need to be comfortable working with people in other time zones. We're always expanding, but we can't currently hire in Alabama, Alaska, Delaware, District of Columbia, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Rhode Island, South Dakota, West Virginia, or Utah. We can only hire permanent US residents at this time. 🚀 Opportunities to Grow We work hard on a culture built on trust, accountability, and inclusion — one where you can take on more, make a lasting impact, and have some fun doing it. 🎩 Total Rewards Remote-first since 2009 Flexible PTO and parental leave 100% premium coverage of medical, dental, and vision for you and your family 401(k) to invest in your future $1,500 annual learning and development reimbursement Travel to all-company meetings and team events Generous home office allowance TeamSnap swag when you start, plus a $50 store credit on every work anniversary Monthly health and wellness reimbursement, and more TeamSnap Total Rewards 🏆  Award-winning Culture At TeamSnap, you're not a culture fit – you're a culture add. Read our Culture Playbook to see how we play, what we ask of each other, and what drives us. 🧡 Inclusion and Diversity Creativity and innovation don't come from cookie-cutter teams. We hold ourselves accountable for building a culture where everyone is valued. Need any accommodations during the interview process? Just ask. We are an Equal Employment Opportunity Employer. AI Notice We may use AI tools to support parts of the hiring process, such as reviewing applications and resumes or assessing responses. These tools assist our recruitment team; they don't replace human judgment, and final hiring decisions are made by people. Contact us if you'd like more information about how your data is processed.

Location: Germany - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. Partner Sales Engineer (PSE) About Chainguard Chainguard is building the future of secure software supply chains by delivering secure-by-default container images, helm charts and language libraries alongside developer tools that eliminate vulnerabilities before software reaches production. We partner with cloud providers, VARs/SIs, and technology platforms to help organizations adopt secure software development practices at scale. We are looking for a Partner Solutions Engineer (PSE) to help enable and scale our partner ecosystem by building technical champions, developing integrations, and accelerating partner-led adoption of Chainguard solutions. This role combines technical depth, partner enablement, and go-to-market collaboration. Our partner engagement model follows the BEPIC framework: Belief – Build technical conviction in Chainguard Executive Sponsorship – Align with partner leadership Propensity to Embed – Integrate Chainguard into partner architectures Integrated Value Proposition – Deliver compelling joint solutions Cadence – Maintain consistent partner engagement What You'll Do Build Partner Technical Champions Enable technical teams across cloud providers, VARs/SIs, and technology partners through workshops, training programs and paths, and hands-on labs. Develop reusable partner assets including reference architectures, demos, and solution playbooks. Drive Integrations and Architecture Work with partners and internal teams to design secure cloud-native architectures that incorporate Chainguard into DevOps, platform engineering, and security workflows. Collaborate with product and engineering teams to bring partner integrations to life. Develop Joint Partner Solutions Co-create partner-led services and offerings that help customers adopt Chainguard solutions. Partner closely with Sales and Partner Managers to identify deals, accelerate the sales cycle, help with adoption, and grow partner-influenced revenue across the company. Support Strategic Partner Relationships Engage with partner technical leaders and executives to align on technical roadmaps and solution strategies. Broadcast partners' progress to field teams internally and encourage the close collaboration of Chainguard - Partner SEs for maximum joint value proposition and have a strong influence over product direction. Maintain Strong Partner Engagement Run ongoing enablement sessions, workshops, and joint technical activities to ensure partners remain engaged and capable of delivering Chainguard solutions.  Initiatives to cultivate strong bonds with new and existing partners. What We're Looking For 5+ years in Solutions Engineering, Partner Solutions Architecture, or Sales Engineering Experience with cloud platforms (AWS, Azure, or GCP) Hands-on experience with containers, Kubernetes, or cloud-native infrastructure Familiarity with DevSecOps, platform engineering, or cloud security Experience enabling partners through technical training or solution development Strong ability to communicate complex technical topics to both engineers and business stakeholders Ability to travel up to 50% Nice to Have Technical evangelism and storytelling — able to inspire partner technical teams and clearly communicate complex concepts to both engineers and business stakeholders High emotional intelligence and relationship building — able to build trust, read partner dynamics, and engage effectively with stakeholders from engineers to executives Collaborative leadership — skilled at aligning cross-functional teams and partners to drive joint solutions and shared outcomes If you're passionate about cloud-native technology, open source, security, and partner ecosystems, we'd love to hear from you. About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

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 .