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Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As an Analytics Engineer at OnePay, you'll own the analytics foundation (dbt models, testing, and Databricks BI) so the business can move fast on trusted data. We build for humans and AI, so you’ll use AI tools (Claude Code, Cursor) daily to move faster and design models, metrics, and documentation that agents and analysts can both rely on.   WHAT YOU’LL DO - Design and build production dbt models on Databricks that the organization uses as the source of truth for what’s happening in the business - Support external reporting with accurate, governed data that stakeholders and partners can trust - Own data quality: testing, CI/CD, documentation, and patterns the team follows - Build and evolve Databricks dashboards and semantic metrics for self-service across the business - Partner with Data Engineering, Analytics Engineering, and analytics stakeholders to turn messy business problems into durable data products - Drive AI-native workflows: Cursor/Claude (or equivalent) in daily development; model and doc design that works for LLM consumers   YOU BRING - 3+ years in analytics engineering or equivalent: you’ve owned production models end-to-end, not just ad hoc analysis - Expert SQL and deep dbt experience (architecture, incremental models, tests, macros, CI/CD) - Strong Databricks BI (or equivalent semantic layer) delivery - AI-savvy in practice: you already use AI coding tools daily, validate outputs rigorously, and design data for both humans and agents - Proven ability to execute in ambiguity: startup pace, incomplete specs, bias toward shipping - Clear communicator across technical and non-technical audiences - Owner mentality: you see what’s broken, fix it, and raise the bar for others   TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly.     WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's New Markets and Monetization team exists to bring transformational AI to every business. Model capabilities are compounding, and the Claude Platform is how businesses build with our models. Our job within the Claude Platform is to make sure that every industry, not just software, can build on frontier AI with our APIs and that everyone who builds on Claude prospers by it. The work falls into two pillars that reinforce each other. Verticals: identifying and building for the next API markets. Monetization: the commercial machinery that lets the platform do business anywhere, with anyone: a single way for usage that flows through partners, resellers, and other platforms. We're hiring the founding product managers onto this team, and this posting covers all of them. You will own one of the areas below outright, work day to day with a dedicated engineering lead and designer, and be measured on numbers that are company-level goals for the half. Almost none of this exists yet, so most weeks you will be the person defining the problem rather than receiving it. Key responsibilities Partner and platform billing. How usage that reaches Claude through a partner, reseller, or another platform is metered, attributed, and billed, and the program terms that go with it, so indirect volume can grow without our risk growing with it. Spend observability and controls. Giving enterprise buyers a precise view of what they spend and where, and turning that into limits and controls they can enforce, including programmatically. One account, and the startup path built on it. One login and one wallet across the API and Claude's subscriptions, so a builder's first commit, first production call, and first invoice are on a single plan. A vertical. The platform strategy for a particular industry: what builders there need that the platform doesn't yet do, which bets to make, and shipping them with the vertical's own product and go-to-market partners. Whatever your focus, you will: Build on primitives owned by the Billing Platform and Auth & Identity teams, and ship with Growth, Go-to-Market and Startups, Legal, Finance, and Data Science Structure the commercial terms yourself, whether that's pricing, revenue attribution, or partner and startup program terms, with Finance, Legal, and Business Development Talk to every side of the ecosystem, from enterprise buyers and startup builders to the partners that resell or embed Claude and the industry customers we're building for, and turn it into a roadmap where each new participant makes the platform more valuable to the rest Own the team's outcome metrics: the share of the platform's business outside coding, new startup revenue, volume unified across the API and Claude's subscriptions, and the volume partners book on Claude, and make sure the instrumentation exists to know whether what you shipped moved them Write the strategy, the specs, and the analysis yourself Minimum qualifications Have owned a developer platform, API, billing or money-movement product, or self-serve growth product end to end, and were the person accountable for its revenue or activation number (for most people this means five or more years as a PM, but we care about the ownership, not the years) Have built with or shipped on top of large language models, and have a view on what changes about billing, identity, or distribution when the customer is sometimes an agent Are technically fluent: you read API docs, work through a billing, identity, or attribution design with engineers, and make calls on platform primitives yourself Pull your own data: SQL or equivalent, to define a metric, build a funnel, or size a market Have negotiated pricing, revenue share, or program terms with Finance, Legal, or Business Development counterparts Write clearly enough that an engineer, an executive, and an external partner can each see the tradeoff you're making Care about Anthropic's mission, and specifically about growing this platform in a way where the people building on it share in the upside Preferred qualifications 8+ years of product management experience Worked on metering, usage attribution, reseller or cloud-marketplace channels, or enterprise spend management Taken a developer platform into a new industry, or built product in healthcare, life sciences, financial services, or another regulated industry Grown a developer product's self-serve or startup business, including its pricing and packaging Built account, identity, or subscription systems that span more than one product Taken a product from zero to one, where the users, the product, and the economics all had to be worked out at once 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: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Washington DC Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We are looking for a Regional Director of Sales to lead revenue growth across a defined region within the Americas. This is a critical frontline leadership role for someone who has managed high-performing enterprise Account Executives, understands complex technical sales cycles, and is excited to help build the go-to-market motion for one of the most important categories in software. As Regional Director, Sales, you will own regional revenue execution, pipeline development, forecast accuracy, and team performance. You will lead a team of quota-carrying Account Executives selling to technical, product, and business stakeholders at high-growth startups and large enterprises. This role is ideal for a hands-on sales leader who combines strong operating discipline with curiosity about AI, developer platforms, and emerging infrastructure markets. You should be comfortable staying close to deals, coaching sellers through complex cycles, and helping customers understand both immediate use cases and long-term strategic value.   WHAT YOU’LL DO - Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution. - Lead, coach, and develop a team of enterprise Account Executives. - Build a culture of accountability, customer obsession, strong qualification, and consistent execution. - Partner closely with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes. - Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions. - Stay deeply engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing. - Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders. - Inspect pipeline rigorously, identify risks early, and ensure clear next steps across priority opportunities. - Develop a clear view of market demand, buyer personas, competitive dynamics, and customer pain points across your region. - Help refine LangChain’s enterprise sales motion as we scale from early GTM into a more repeatable, predictable sales organization. - Recruit, onboard, and retain high-performing sales talent as the region grows. WHAT WE’RE LOOKING FOR - 7+ years of enterprise software sales experience, including 2+ years leading quota-carrying sales teams. - Proven track record managing teams that sell complex technical products to enterprise customers. - Experience hiring, coaching, and developing high-performing Account Executives. - Strong command of enterprise sales fundamentals: qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement. - Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams. - Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built. - Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success. - Excellent communication skills, with the ability to simplify complex technical concepts for different audiences. - High ownership, low ego, and a willingness to be hands-on with customers, deals, and team development. NICE TO HAVE - Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products. - Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development. - Experience helping scale a regional sales function at a company moving from founder-led or early GTM to a more repeatable enterprise sales motion. - Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies. - Prior success selling into both digital-native and large enterprise accounts. - Experience working in a highly technical, product-led, or open-source-influenced sales environment. WHY JOIN US AI is changing how software is built, deployed, and operated. LangChain is at the center of that shift. This is an opportunity to help build the sales organization for a category-defining company, work with highly technical and ambitious customers, and shape how enterprises adopt production-grade AI systems. You’ll join a team that values ownership, clarity, curiosity, and pace — and you’ll have the opportunity to make a meaningful impact on the company’s growth trajectory.   Compensation: $350,000 - $400,000 OTE + Equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York, NY Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We are looking for a Regional Director of Sales to lead revenue growth across a defined region within the Americas. This is a critical frontline leadership role for someone who has managed high-performing enterprise Account Executives, understands complex technical sales cycles, and is excited to help build the go-to-market motion for one of the most important categories in software. As Regional Director, Sales, you will own regional revenue execution, pipeline development, forecast accuracy, and team performance. You will lead a team of quota-carrying Account Executives selling to technical, product, and business stakeholders at high-growth startups and large enterprises. This role is ideal for a hands-on sales leader who combines strong operating discipline with curiosity about AI, developer platforms, and emerging infrastructure markets. You should be comfortable staying close to deals, coaching sellers through complex cycles, and helping customers understand both immediate use cases and long-term strategic value. WHAT YOU’LL DO - Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution. - Lead, coach, and develop a team of enterprise Account Executives. - Build a culture of accountability, customer obsession, strong qualification, and consistent execution. - Partner closely with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes. - Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions. - Stay deeply engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing. - Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders. - Inspect pipeline rigorously, identify risks early, and ensure clear next steps across priority opportunities. - Develop a clear view of market demand, buyer personas, competitive dynamics, and customer pain points across your region. - Help refine LangChain’s enterprise sales motion as we scale from early GTM into a more repeatable, predictable sales organization. - Recruit, onboard, and retain high-performing sales talent as the region grows. WHAT WE’RE LOOKING FOR - 7+ years of enterprise software sales experience, including 2+ years leading quota-carrying sales teams. - Proven track record managing teams that sell complex technical products to enterprise customers. - Experience hiring, coaching, and developing high-performing Account Executives. - Strong command of enterprise sales fundamentals: qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement. - Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams. - Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built. - Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success. - Excellent communication skills, with the ability to simplify complex technical concepts for different audiences. - High ownership, low ego, and a willingness to be hands-on with customers, deals, and team development. NICE TO HAVE - Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products. - Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development. - Experience helping scale a regional sales function at a company moving from founder-led or early GTM to a more repeatable enterprise sales motion. - Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies. - Prior success selling into both digital-native and large enterprise accounts. - Experience working in a highly technical, product-led, or open-source-influenced sales environment. WHY JOIN US AI is changing how software is built, deployed, and operated. LangChain is at the center of that shift. This is an opportunity to help build the sales organization for a category-defining company, work with highly technical and ambitious customers, and shape how enterprises adopt production-grade AI systems. You’ll join a team that values ownership, clarity, curiosity, and pace — and you’ll have the opportunity to make a meaningful impact on the company’s growth trajectory. Compensation: $350,000 - $400,000 OTE + Equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As an Enterprise Account Manager, you will oversee a book of 60–70 Enterprise customers (750+ employees) and own the long-term relationship, overall account health, and commercial outcomes for your portfolio. You will be responsible for maintaining and growing revenue, driving adoption across Ramp’s product suite, and ensuring customers achieve meaningful business outcomes. You will build strong relationships at all levels of your customers’ organizations — including operators, directors, VPs, and C-suite leaders — and be skilled at managing evolving needs and product configurations. Internally, you’ll work closely with cross-functional teams to support customer initiatives, coordinate efforts, and contribute insights that help shape Ramp’s product and operational processes. WHAT YOU’LL DO - Own a portfolio of ~60-70 Enterprise customers, with a clear responsibility to develop strategies for expansion, driving revenue for Ramp - Lead customer conversations across all seniority levels, including operators, finance leadership, and C-suite executives, to ensure alignment and drive strong business outcomes - Manage renewals end-to-end, from identifying the need to solution design, positioning, and negotiation - Create and execute scalable account plans, highlighting areas of risk, opportunity, and long-term strategy - Run regular touchpoints — status calls, optimization reviews, roadmap conversations, and QBRs — to keep customers engaged and successful - Collaborate cross-functionally with Product, Sales, Support, CSMs, and Solutions teams to deliver a cohesive and high-quality customer experience - Travel occasionally for customer on-sites, events, and internal summits WHAT YOU NEED - Minimum 6 years of quota-carrying SaaS sales experience in a closing role with strong prospecting, qualifying, negotiating, and closing skills - Experience managing Enterprise or large Mid-Market accounts (500+ employees), ideally in a scaled book model - Strong familiarity with Fintech, Payments, Finance/Accounting, or B2B SaaS - Comfortable explaining product workflows, integrations, and technical requirements to both financial and technical stakeholders - Ability to articulate financial value — ROI, cost savings, operational efficiency, and modernization impacts - Strong communication and relationship-building skills, including comfort working with senior leadership and the C-suite - Track record of meeting or exceeding revenue or growth targets in a fast-paced, evolving environment - High level of ownership, adaptability, and comfort working through ambiguity - Willingness to travel as needed NICE TO HAVES - Experience in financial services sales or selling to finance teams (e.g., Office of the CFO, controllers, accounting, or expense management) - Experience at a high-growth startup BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: New York City Office COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, "They'll be in touch soon." So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting. ROLE DESCRIPTION As Manager of Channel Partnerships at Tennr, you will own pipeline generation through the activation of our signed partners. Tennr's business development team signs partners; you take the handoff and build the enablement, incentives, cadence, and systems that turn a contract into a qualified pipeline. You will build and scale partnerships in phases, starting with the most established base and expanding across additional channels over time. We're looking for a builder who has activated a channel before at a healthcare company and is energized by a partner base that is signed but not yet producing. RESPONSIBILITIES - Be the primary relationship owner with a growing book of signed partners. - Map partner networks to Tennr's ICP and identified target accounts so partners can effectively hunt in the verticals we care about, segmented by specialty and geography. - Partner with sales enablement and marketing to build playbooks and high-impact collateral for partners to use in market. - Run the cadence that keeps partners producing between deals: reviews, check-ins, communications, and the incentive programs behind them. - Stand up partner tooling and reporting, feed insight back to BD on which partners to sign more of, and extend the motion to new channels as we sign it. QUALIFICATIONS - Experience activating and scaling a signed partner or channel base at a growth-stage company. - Demonstrated success generating pipeline through partners, with clear ownership of a number. - Experience activating channels for a company selling into healthcare, with fluency in MSOs, GPOs, and EMRs. - Track record of designing or rebuilding a partner incentive program. - Proven expertise with key CRM/PRM tooling (SFDC, Crossbeam, etc.) - Strong executive presence across both startup and enterprise audiences - Entrepreneurial self-starter who operates with a high ownership mentality WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure. - Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week. - Free lunch! Plus a pantry full of snacks. BENEFITS - Beautiful new office at 345 Hudson Street - Unlimited PTO - 100% paid employee health benefit options - Employer funded 401(k) match - Competitive parental leave

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten's engineers want to work in an AI-first way. What's missing isn't enthusiasm — it's the platform underneath it. Today everyone assembles their own agent config, context files, and MCP servers, so the good patterns stay trapped in individual setups instead of becoming defaults everyone inherits. You'll build that platform: the agent configurations tuned to our monorepo, the context and tooling layer that makes agents competent in our codebase, the evals that tell us which approaches actually work, and the rollout mechanics that get a new engineer productive with agents in week one. You are not here to mandate how engineers use AI — you're here to make the good path the easy path. Success looks like teams adopting what you build because it beats what they'd cobble together themselves, not because a policy requires it. Platform engineer, not AI evangelist. Ship infrastructure, measure it, kill what doesn't work, let adoption be the referee. The playbook for AI-first SDLC doesn't exist at any company yet. You'll write ours. EXAMPLE INITIATIVES Agent substrate — Repo-level context infrastructure that makes agents competent in our codebase (CLAUDE.md/AGENTS.md http://CLAUDE.md/AGENTS.md conventions, architecture and domain context, and the tooling to keep it accurate as code moves). Internal MCP servers giving agents scoped access to CI, observability, incident tooling, deployment state, and docs. Shared skills, subagents, and hooks that encode Baseten workflows. Sandboxed environments where agents can build and test safely. The golden path — Project templates and onboarding that ship with AI tooling configured and working. Self-serve infrastructure so teams build their own agents without you as the bottleneck. Gateway, auth, cost controls, and audit logging for internal model access. The feedback loop — Eval harnesses that answer "is this config better than that one" against real Baseten tasks, not vibes. Instrumentation of AI tool usage and its downstream effects on cycle time, review latency, and change failure rate. Honest reporting, including on what you built that didn't pan out. Agents in the SDLC — Automation where agents earn their keep: PR review triage, test gap-filling, incident context assembly, migrations and refactors, codebase Q&A. Integrating agents into CI/CD with guardrails that make it trustworthy. RESPONSIBILITIES - Own the internal AI developer platform end to end — architecture, build, rollout, operation, measurement. - Evaluate and integrate third-party AI coding tools (Claude Code, Cursor, Codex, and whatever ships next quarter), and build the context layer that makes them work against our monorepo. - Build frameworks that let other engineers create their own agents without deep LLM expertise. - Establish the evaluation practice for AI-assisted development at Baseten, and use it to drive investment decisions. - Drive adoption through developer experience — good defaults, clear docs, low friction — not mandate. - Embed with teams to find where AI genuinely unblocks them, then generalize those wins into platform capabilities. - Own the safety layer: permissions, secrets handling, audit trails, cost management. REQUIREMENTS - Have 4+ years of relevant industry experience building and enabling AI native SDLC - Strong proficiency in Python and/or Go, building tools other engineers depend on daily. - Hands-on experience with LLMs and agent frameworks — tool calling, MCP, context management, orchestration, failure handling. You've shipped something agentic that real people used, not just prototyped. - Deep personal fluency with AI coding tools and well-formed opinions about where they break down. - Platform mindset: you build for adoption and self-service, treat internal engineers as customers, and would rather ship a good default than write a style guide. - Developer tooling, CI/CD, and Kubernetes/Docker fundamentals. - Comfort with ambiguity — this space invalidates its own best practices every few months. - Excellent written communication. Much of your leverage is docs, templates, and examples that scale beyond conversations you're in. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten is seeking talented and experienced Software Engineers to join our Platform team within the Infrastructure organization. As a member of Baseten's Platform Team, you will own the systems that let every engineer at Baseten prove their code works before it reaches production. Our product runs mission-critical AI inference for customers who measure downtime in dollars per second, which means our internal bar for correctness, performance, and failure tolerance has to be exceptional. Your focus is the full testing stack: fast and reliable unit test tooling, integration harnesses that spin up realistic environments on demand, load and performance testing for GPU-backed inference workloads, and resilience testing that deliberately breaks things so our customers never have to find out what happens when a node dies mid-request. This is a builder role with org-wide leverage. You won't be writing tests for other teams — you'll be building the frameworks, harnesses, and feedback loops that make writing good tests the path of least resistance, and you'll set the standards for what "well-tested" means at Baseten. RESPONSIBILITIES - Own Baseten's testing strategy end to end — define the standards, the tiers, and the tooling that engineering teams build against. - Build and maintain unit, integration, load and performance testing frameworks - Design end to end test infrastructure that provisions realistic dependencies on demand — ephemeral Kubernetes namespaces, containerized service dependencies, etc. - Build resilience and chaos testing capabilities: fault injection, network partition and latency simulation, pod and node failure scenarios, dependency degradation, and automated verification that our systems degrade gracefully and recover. - Attack test suite reliability head-on — flake detection and quarantine, test impact analysis and selective execution, parallelization, and aggressive reduction of end-to-end CI wall time. - Build observability into the testing layer itself: coverage reporting, test health dashboards, failure triage tooling, and clear signals about which areas of the codebase are under-tested. - Create project templates and shared libraries so new services start with a complete testing setup on day one. - Partner directly with product and infrastructure teams — embed where needed, understand their hardest testing problems, and turn one-off solutions into platform capabilities. - Mentor engineers across the org on testing practice and raise the collective bar through code review, documentation, and internal advocacy. REQUIREMENTS - Strong proficiency in Go and/or Python, with hands-on experience building test tooling and libraries used by other engineers. - Deep experience with testing frameworks and their internals — pytest, Go's testing package, testify, testcontainers, or equivalents — including the ability to extend them, not just use them. - Experience designing integration test infrastructure for distributed systems, including ephemeral environment provisioning and dependency management. - Practical experience with load and performance testing tools (k6, Locust, Vegeta, JMeter, Gatling, or similar) and the judgment to interpret results and drive action from them. - Solid Kubernetes and Docker fundamentals — you can build test infrastructure that runs on and tests against real cluster environments. - Advanced understanding of CI/CD, including how to keep large test suites fast, deterministic, and trustworthy at scale. - A track record of measurably improving testing culture on an engineering team — you have opinions on what to test, what not to test, and where the ROI actually is. - Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Manager, Infrastructure Capex Accounting to join our Infrastructure Accounting team. In this role, you will execute day-to-day accounting for Anthropic's owned infrastructure assets — the GPUs, networking equipment, and data center buildouts underpinning our recently announced $50bn investment in American computing infrastructure. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing fixed asset base is accounted for and understood across the business. You will own end-to-end accounting for Anthropic's capex and fixed asset portfolio, working closely with cross-functional partners across Data Center Operations, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 360, and help build the processes, controls, and systems that let this function scale. Responsibilities Own end-to-end accounting for Anthropic's AI infrastructure capex and fixed asset portfolio, including monthly close, construction-in-progress (CIP) tracking, reconciliations, roll-forwards, and flux analysis Apply technical accounting expertise to complex infrastructure arrangements under ASC 360 (capitalization, useful lives, impairment, disposals, and asset retirement obligations) Partner with Data Center Operations, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems, particularly around asset receipt, deployment, and in-service dates Help design and scale systems, processes, and controls to support a rapidly growing fixed asset portfolio Collaborate with and mentor junior accounting professionals across the Infrastructure Accounting team Serve as a key point of contact with external auditors on fixed asset and capex accounting matters Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting You may be a good fit if you Have 7+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred Possess strong technical accounting knowledge of ASC 360, particularly as applied to infrastructure, data center, or compute-related assets Have hands-on experience with a significant fixed asset portfolio in a high-growth environment Demonstrate strong analytical abilities and comfort working with large, complex datasets Have a track record of improving scalable financial processes in fast-moving environments Have experience mentoring junior accounting professionals Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders Communicate clearly and influence effectively across cross-functional partners Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Strong candidates may have Experience at hyperscalers, large compute consumers, or data center operators with exposure to infrastructure asset structures (including GPU clusters, networking equipment, and data center buildouts) Experience with fixed asset subledger systems at scale SQL proficiency for querying and analyzing large infrastructure and accounting datasets Background in Big 4 accounting or advisory services combined with industry experience Experience with complex data center buildouts or hybrid cloud / on-premise environments Knowledge of AI/ML infrastructure and associated cost structures Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation Proven ability to navigate ambiguity and drive results in rapidly changing environments 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: $160,000 — $190,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io. Why This Role Is Important to Arcadia Teams across Arcadia already put agents to work enabling clients' clinical, analytics, and operations teams. We use them heavily for our own work, too. Much of the platform foundation is in place. Now it has to handle longer-running workflows, client-facing agents, and PHI at scale. You'll join the team that owns the platform underneath these agent workflows. This isn't a solo mandate. Your influence comes from what you ship and what other teams build on top of it. How We Build Engineers at Arcadia own outcomes end to end: the problem, the design, the code, the rollout, and the result in production. We build alongside AI without handing it our judgment; our automation is governed and transparent, built to strengthen human expertise, not replace it. We have few layers, high agency, deep ownership. We adopt new tools and practices quickly, which lets us move faster than many startups while keeping the discipline a regulated environment demands. Our agent platform sits on top of governed access to AWS-based petabyte-scale lakehouse data with open table formats, distributed Spark processing, and Kubernetes services. The current implementation has an OSS agent harness and a gateway/router across model providers, all built on a third-party agent framework. What Success Looks Like Arcadia product teams should be able to spin up an agent quickly, ship it with confidence, and evolve it over time safely and cost-effectively. The platform provides the building blocks: persistence, workflows, memory, and identity-aware, compliant connectivity to tools. The platform also takes care of the quality attributes: caching, compaction, evals, guardrails, observability, resiliency, and safe handling of PHI. Teams adopt it because it's the fastest safe path, not because they're told to. You treat it as a product and can show the impact in numbers. Next: customers bring their own agents to Arcadia, and eventually assemble them from our building blocks. What You'll Be Doing Evolve and run our agent platform for both internal and client-facing use cases: the runtime, SDKs, templates, and paved paths that let teams ship agents on Arcadia's data. You write a meaningful share of the code. Stand up and harden the infrastructure underneath it: IaC, network topology, security controls, and the operational tooling that keeps it running, in close partnership with SRE. Make quality attributes platform defaults, not per-team projects: evaluation harnesses and regression gates, guardrails and policy enforcement, tracing and telemetry, and resiliency patterns for model, tool, and data failures, plus the inevitable provider churn. Design for a regulated industry: PHI isolation, least-privilege identity for agents, audit trails, and human review. Run the platform as an internal product: work with the teams building on it every week, and measure adoption and developer experience. Partner with domain teams on their hardest agent use cases, and turn what you learn into platform capability. Own it in production: SLOs, on-call, incident response, and postmortems. Set the technical bar for how engineers build with AI at Arcadia, and coach Senior Engineers through design partnership and review. Their trajectory is part of your impact. What You'll Bring Platforms you've built and run that other engineering teams adopted, from ambiguous beginnings through years of operation, with results you can show. Deep foundations in cloud-native distributed systems, data infrastructure, and service architecture. You reason from first principles. Hands-on infrastructure depth: IaC, cloud, security architecture, and running production systems. You can go deep with SRE, not just hand work off to them. Current, hands-on production coding, and the desire to keep doing it. Passion for developer experience (DevEx/DevProd) as a discipline. Writing clear enough to set standards beyond your own work, and influence that comes from credibility, not title. No healthcare background required. We hire builders from fintech, infrastructure, and consumer scale, and teach the domain. Would Love for You to Have Scars from production LLM/agent deployments beyond glossy demos (but we won't ask for 20 years of LLM experience). Pragmatism about the LLM ecosystem: excited by it, not distracted by it. Regulated-data experience (HIPAA, PHI, SOC 2 or HITRUST environments). A public voice through talks, writing, or open source. What You'll Get The opportunity to own one of Arcadia's most consequential platform domains and to set its direction for years. Direct influence on how Arcadia's engineering org adopts AI; your tooling, patterns, and standards become examples others build on. Remote-first across the US, with in-person hubs growing in Boston, DC, and NYC. A flexible culture with personality and heart, named a Built In 2026 Best Place to Work. Work that shows up in patients' lives. About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Manager, Product Applied Science to build and lead a team at the core of Garner's product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is a hands-on management role. You are responsible for the overall technical direction of your squad, building alongside your team of Applied Scientists to solve some of the hardest problems at the company. This is not a dashboards or descriptive-analytics team. Your team owns production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is leading a research pod at a top hedge fund. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Lead a team of 4-6 — hire, coach, and develop them, hold the bar on both rigor and speed, and help raise that bar across Applied Science Own the Population Health team and their outputs as a core responsibility Own your team's roadmap and delivery: what gets built, in what order, and whether it ships Set technical direction, and get in the weeds to do it — stay close enough to the code and the data to call the approach yourself, whether that's machine learning, optimization, a heuristic, or a simple rule, and set the standard for how your team makes that call Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship Put your own hands on the problems where your judgment matters most — the highest-stakes, least-defined work — and deliver the algorithmic step-changes that move metrics like total-cost-of-care savings, steerage, and member engagement Turn ambiguous business goals into a clear problem set alongside Research, Product, Engineering, and business stakeholders, and represent your team's work to senior leadership Set the quality bar: review your team's work with rigor, and define the metrics that decide whether a solution is working Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions. AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely. Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care. The ideal candidate has: 6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred Deep technical credibility, with the range and judgment to lead scientists who are experts in their own right, and the willingness to stay hands-on Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them A bias toward action, quickly translating ideas into working prototypes to test approaches Strong communication skills, including at the executive level, with a track record of driving alignment across teams and functions A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback Technologies we use: Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. This is a unique opportunity to build and lead the team behind Garner's algorithmic systems — shaping how members find better care, and how applied science gets done at Garner, while staying close to the work yourself. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target base comp range for this position is $300,000-$390,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. 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. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Staff Applied Scientist to join our Applied Science team. Garner is hiring Applied Scientists to design and ship the algorithmic systems at the core of our product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund. This is a player-coach role. You will be a hands-on-keys Applied Scientist, while also leading a small team that helps you deliver on your roadmap. Your time will be split between your own technical work and working with your team to shape how they approach their problems. This role is a good fit for someone who wants to develop their management toolkit while continuing to work closely on their own technical work, and it can lead either towards management or a deeper senior IC track. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own the most ambiguous, high-stakes problems facing the company end-to-end, and set how the team frames and approaches them Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, and set the standard for how the team selects and applies these approaches Deliver algorithmic breakthroughs that move the company's most important metrics, pioneering approaches that become how applied science is done at Garner Lead a small team — set their technical direction, unblock them when they're stuck, and share accountability for their growth and the quality of what they ship Review Applied Science work at the highest level across the company, ensuring the methods used across teams are sound and correctly applied Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions. AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely. Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care. The ideal candidate has: 6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred A bias toward action, quickly translating ideas into working prototypes to test approaches Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them Recognized technical authority, with the judgment to ensure the techniques used across an organization are sound Strong interest in mentoring or technically leading other Scientists — formal management experience is welcome, but not required Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem Strong communication skills, including at the executive level, with a track record of driving alignment across an organization A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. This is a unique opportunity to work on high-impact problems in healthcare — shaping how members find better care through algorithmic systems that directly influence healthcare outcomes, and helping the scientists around you do the same. Compensation Transparency: The target base comp range for this position is $300,000-$390,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. 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. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Bogota, Colombia; Mexico; Honduras; Paraguay About the Role Ready to take ownership of complex searches and partner directly with U.S.-based leaders? At H!KINEX, our Executive Recruiters support U.S. companies across multiple industries by running high-quality, end-to-end recruitment processes. This role is for recruiters who like to move fast, think strategically, and stay hands-on. You'll lead omnichannel headhunting through direct calls, LinkedIn, and targeted outreach, while working closely with executives in a high-performance, results-driven environment. You'll own your searches, build strong pipelines, and play an active role in delivering talent that makes a real business impact. Why You'll Love Working Here Direct exposure to U.S. executives and hiring leaders Ownership over searches, not just task-based recruiting Remote, full-time stability with clear expectations A performance-focused environment that values execution and quality Room to grow your scope as you consistently deliver results Collaborative team culture without micromanagement What You'll Be Doing Partner with U.S. client recruiting teams to source and pre-qualify candidates for active requisitions (Medical, Engineering, Technical, Construction, and Legal) Generate candidate interest through email outreach, LinkedIn messaging, job postings, and targeted sourcing strategies Conduct initial candidate screens to assess experience, interest, and overall fit Coordinate interviews between candidates and U.S. clients, ensuring clear communication and smooth scheduling Maintain accurate and up-to-date candidate records in ATS, LinkedIn Projects, and internal databases Continuously explore new sourcing approaches to reach diverse and high-quality talent pools Build and maintain strong candidate pipelines to support ongoing searches Conduct candidate interviews and provide clear, structured feedback Create, edit, and post job descriptions tailored to U.S. market requirements Support recruiting operations through timely documentation and follow-ups What We're Looking For At least 1 year of recruiting experience (agency or corporate) Strong English communication skills, both written and verbal Comfortable using LinkedIn, job boards, ATS platforms, and sourcing tools Willing to work graveyard or early morning shifts aligned with U.S. time zones (weekends off) Organized, proactive, and able to manage multiple searches at once Ready to Apply? If you're an experienced recruiter who enjoys proactive sourcing, direct candidate engagement, and working closely with executives, we'd love to hear from you. At H!KINEX, recruiting isn't one-size-fits-all. We grow recruiters across different levels-expanding scope, responsibility, and impact as you develop. You'll work in a remote-first, high-performance environment where strong execution is recognized and long-term growth is supported. Salary: Up to $1,000 / month

Location: New York WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. WorldQuant  is seeking a Full Stack Developer to build and enhance internal analytical tools and dashboard applications supporting product, platform, and business workflows. This role combines business analysis, data analytics, and web development, with a focus on creating scalable, user-friendly internal applications. Key Responsibilities: Design, develop, and maintain internal analytical tools and dashboards for users and stakeholders. Build single-page applications (SPAs) using frameworks such as React and component libraries such as Tailwind, Material UI, or similar. Translate business requirements into technical solutions and intuitive workflows. Use SQL and/or Polars to support reporting, analysis, and application data needs. Support testing, deployment, and CI/CD processes for reliable delivery. Improve existing dashboards and tools for usability, performance, scalability, and maintainability. Partner with stakeholders to improve workflows, reporting, and operational visibility. Qualifications: 2–5+ years of experience in web development, analytics, or related technical roles. Experience with web development frameworks such as React, HTML, CSS and the JavaScript language. Expertise in constructing and processing complex SQL queries. Working knowledge of relational databases. (SQL Server, MySQL, PostgreSQL) Excellent debugging and problem solving skills. Clear communication and presentation skills. Proficiency in at least one general purpose programming language from Python, Java, and C++. Understanding of database design, index structures and stored procedures. Experience with building middleware services (REST/JSON), caching tools, data visualization, log collection and aggregation, search, queuing systems. A solid background in Unix/Linux environment and Shell scripting. Experience in DevOps: thorough knowledge in one webserver (Apache/NGINX/Tomcat), monitoring and load balancing tools. Experience with job schedulers (i.e. airflow, cron). Finance Experience is not required. Pay Transparency: WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.  We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations.  When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package. The Base Pay Range For This Position Is $150,000 – $200,000 USD. At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws.  If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com , and we will address your concerns promptly. #LI-RS1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Salt Lake City, Utah, United States About the Role iCapital is seeking a Cyber Case Manager to join the Global Information Security team within Cyber Security Operations. As the Security Operations Center (SOC) continues to grow, dedicated ownership of the case lifecycle has become essential to ensuring incidents and investigations are consistently tracked and driven to closure. The Cyber Case Manager serves as the single point of accountability for that lifecycle – from intake through resolution – ensuring every case is owned, prioritized, progressing, and documented. This individual-contributor will report to the Security Operations leader. Responsibilities Own the end-to-end lifecycle of security cases including intake, ownership assignment, progress tracking, and driving cases to resolution and closure. Serve as the single point of accountability for case status across the SOC, maintaining an accurate, prioritized, real-time view of all open incidents and investigations. Exercise authority to assign, reprioritize, and escalate cases across SOC Analysts, Threat Detection Engineering, and Incident Response to keep work moving and eliminate stalled cases. Enforce case-handling SLAs and quality standards; proactively identify aging, blocked, or at-risk cases and escalate to the Security Operations Leader. Coordinate cross-functional workstreams spanning incident response, DFIR, insider-threat cases, vulnerability-remediation tracking, audit and GRC findings, and eDiscovery and legal-hold requests. Manage case documentation and evidence integrity – ensuring timelines, actions, decisions, and artifacts are captured consistently and remain audit-ready. Integrate case workflows with SIEM/SOAR so alerts, enrichment, and automated actions flow into and out of the case record without manual re-keying. Produce case metrics and leadership reporting, including MTTD, MTTR, backlog, aging, closure rates, and SLA adherence for SOC leadership and stakeholders. Build and continuously improve case-management processes, intake criteria, and runbooks to increase throughput and reduce manager overhead. Facilitate case reviews, shift and regional handoffs, and post-incident lessons-learned, ensuring action items are tracked to completion. Leverage the SOC’s SIEM and SOAR platforms, with Jira and Confluence as the system of record. Collaborate with Legal, Compliance, Human Resources, SOC Analysts, Security Engineering, Cloud Security, Incident Response, and business stakeholders to support sensitive investigations, maintain confidentiality and chain of custody, and strengthen iCapital’s overall cyber resiliency. Participate in incident-driven after-hours coordination as needed to keep high-priority cases moving. Qualifications 3–6 years of experience in cyber security operations, incident response, or security case and program management Bachelor’s degree in information security, computer science, or information technology is preferred Experience in a regulated industry; financial services or fintech is preferred Hands-on experience managing incident or case queues in a SOC or incident response environment Working knowledge of SIEM and SOAR platforms and how alerts and cases flow through them Proficiency with Jira and Confluence for workflow management, tracking, and documentation Strong understanding of the incident response lifecycle and frameworks such as NIST and MITRE ATT&CK Demonstrated ability to coordinate across teams and drive work to closure through influence and follow-through, without direct reporting authority over those teams Familiar with handling sensitive investigations, evidence handling, and chain-of-custody principles Exceptional organization, prioritization, and attention to detail while managing many concurrent cases Excellent written and verbal communication skills, with the ability to report status clearly to both technical and executive audiences Relevant certifications (i.e. GCIH, GCFE, PMP, ITIL, or Splunk and SOAR) are preferred Experience with dedicated case-management or SOAR platforms (i.e. ServiceNow SIR, TheHive, Splunk SOAR and Phantom) Exposure to insider-threat, DFIR, eDiscovery, legal-hold, or GRC and audit workflows Familiar with cloud environments, AWS is preferred and knowledge of Agile frameworks is preferred Benefits The base salary range for this role is $100,000 to $130,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Remote Workplace: remote We're looking for a Senior Backend Engineer to join our backend team at Zerion. This team builds and evolves the backend systems at the core of our products and customer-facing solutions. In this role, you'll design and operate distributed systems, work with Web3 infrastructure, and collaborate closely with product, support, and the clients building on our API to deliver reliable, scalable solutions. We value strong ownership, thoughtful system design, and a high bar for code quality. If you enjoy building solid systems, moving fast without cutting corners, and using AI as a core part of how you work, you'll feel right at home with us. What You’ll Do Design, build, and maintain scalable distributed backend systems powering platform and product capabilities. Own backend services end-to-end : from architecture and implementation to monitoring and long-term reliability. Work closely with product and engineering peers to actively shape product decisions — not just execute specs. Scope solutions with the clients building on our API: turn a vague request into a concrete proposal, and the proposal into a plan the team can build. Build and evolve Web3 platform backend components , including protocol integrations, support for newly emerging blockchain networks, and reliable interactions with smart contracts. Ensure high standards of code quality , performance, security, and observability. Operate comfortably in a fast-paced startup environment , balancing speed and correctness. Use AI as a core part of your engineering workflow — designing, reviewing, debugging and shipping with it. This is how the team works day to day, not an experiment we're running. Contribute to technical discussions , reviews, and mentorship within the engineering team. What We’re Looking For 5+ years of experience designing and building distributed backend systems . Strong knowledge of algorithms, data structures, and software design patterns . Comfortable working in a fast-paced startup environment . Strong desire to actively contribute to product evolution , not just implementation. Comfortable working directly with customers — hearing a vague problem and coming back with a concrete proposal. Hands-on, daily use of AI in your engineering work . You should be able to talk concretely about where it has changed how you build, and where you've learned not to trust it. High standards for code quality, system reliability, and user experience — you care about getting it right, not just getting it done. Strong ownership mindset — you take responsibility for outcomes, not just tasks. Clear and proactive communication in a distributed team. Pragmatic decision-making: knowing when to move fast vs. go deep . Ability to learn quickly and adapt . Technical Skill Set Excellent knowledge of Golang is a plus, not a blocker. Experience with containerized systems : Docker & Kubernetes. Experience with databases : SQL: Postgres NoSQL: MongoDB, Cassandra Experience with monitoring and observability tools : Sentry, Prometheus, Grafana. Hands-on experience with AWS (Amazon Web Services) . Experience with Python 3 . Comfort experimenting with and integrating AI-assisted workflows into daily engineering work. Bonus Points Hands-on Web3 experience: Blockchain systems, dApps, Smart contracts. Prior experience in a startup environment that emphasizes trust and autonomy . Located in time zones close to Europe for smoother collaboration. Collaborative mindset and respect for different perspectives. Curiosity and willingness to challenge existing solutions when better ones exist. Interview Process Screening Call – 30 minutes Hiring Manager Interview – 45 minutes Technical Interview – 90 minutes (includes a real-world challenge where you'll work with AI tools directly) System Design Interview – 90 minutes Team Interview – 60 minutes Founders Call – up to 60 minutes Reference Check Why You Should Join   Company Overview   Zerion API Trusted by 50+ top crypto and fintech brands Powering 2k+ active clients monthly Over 10B total requests processed A lean, senior AI-native team shipping at outsized scale   Zerion Wallet 1.7M+ active funded wallets 27.6M+ transactions 2.5B+ transaction volume 416K+ unique holders of Zerion DNA NFT     Culture: Our culture shines through in our strong team engagement and impressive retention, showing just how much we value creating a workplace where people truly want to stay and thrive. People: Collaborate with some of the most driven and intelligent individuals in the crypto space. Salary & Benefits: Receive a competitive salary, medical insurance, coworking membership, and additional benefits. Unlimited Days Off and Flexible Work Schedule: Recharge and explore life outside the office with our flexible time-off policy and work schedule. Remote Work Essentials: We provide all the necessary software and equipment to ensure you're fully equipped to work from home comfortably and efficiently. Stock Options: Contribute to Zerion's success and watch your stock options become valuable. Travel: Connect with your teammates around the world at industry events and our annual team offsite. Distributed Team: Zerion is a fully remote team with members worldwide. Embrace asynchronous collaboration, find your own work rhythm, and enjoy a healthy work-life balance.   To ALL recruitment agencies and individual recruiters: Zerion only accepts resumes from its partners, with whom Zerion has contractual relations. Zerion is not responsible for any fees or charges associated with unsolicited resumes.   We read every application in full before moving forward - as part of that, please include the word WATERMELON somewhere in your answer to the application question below

Location: San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As a member of Ramp’s Strategic Account Executive team, you’ll work closely with our Head of Strategic Sales and senior leaders to drive net-new revenue and expand Ramp’s presence within the Fortune 1000. This is a new logo acquisition role focused on hunting, closing, and activating large, global Enterprise customers. You’ll play a key role in shaping Ramp’s up-market strategy, partnering cross-functionally to help modernize how the world’s largest organizations manage spend. WHAT YOU'LL DO - Own the entire Enterprise sales cycle from prospecting through close, with a focus on new logo acquisition - Self-source pipeline through outbound prospecting, warm introductions, and strategic partnerships, with clarity on pipeline origin and conversion - Lead complex, multi-stakeholder sales cycles involving Finance, IT, Legal, and Procurement teams - Build and maintain strong relationships with C-suite executives, clearly articulating ROI, payback period, and business outcomes - Collaborate cross-functionally with Solutions, SEs, CSMs, Channel Partner, Marketing, and Product teams to drive alignment and customer success - Deliver accurate forecasting, manage multiple opportunities, and consistently achieve quota - Represent Ramp with professionalism and executive presence in customer meetings, QBRs, and boardroom settings WHAT YOU NEED - 5–7+ years of experience selling SaaS or Financial Technology products into Enterprise accounts, with a proven track record of 6- to 7-figure ACV wins - Demonstrated success selling complex software; Fintech experience is a plus - Proven ability to sell into large, global organizations (6,000+ employees / Fortune 1000) - Strong technical fluency — able to demo, discuss integrations, and map workflows with technical and finance stakeholders - Deep financial acumen — able to quantify ROI, articulate payback period, and drive financial outcomes - Self-starter with clear evidence of pipeline generation and territory ownership - Gritty operator who thrives in fast-paced, high-growth, and sometimes ambiguous environments - Coachability, intelligence, and drive as core success traits - Stable career tenure with a history of progressing up-market — no frequent job changes - Experience running structured sales processes using MEDDICC, CoM, or similar frameworks NICE TO HAVE - Familiarity with finance transformation, ERP ecosystems, expense automation, or payments - Experience selling a fast-evolving product into Enterprise organizations - Background in financial services or hyper-growth startups - Comfortable traveling and meeting customers onsite to drive Enterprise engagement 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: 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 We're looking for a Capabilities Researcher to join the team building Claude Security. In this role, you'll identify which security capabilities in frontier models are ready to build on, measure how well they perform, and work out how to make them useful to customers who are not security experts. Frontier models have become substantially more capable at security work over recent generations, and they continue to improve with each release. That progress creates a set of practical questions: which capabilities are reliable enough to depend on, how they perform in realistic conditions, how they behave when an adversary is involved, and where their limits are. You'll be responsible for answering those questions through fast prototyping and rigorous evaluation, and your findings will shape what the team decides to build. You'll also work on making those capabilities usable. Together with engineers on the team, you'll design the scaffolding, tooling, and defaults that let a strong model capability do useful work for a non-expert, and you'll stay involved as it becomes a product. This is a research role on a product team, with a broad charge and real latitude in what you investigate. It suits someone who already has ideas about what AI should be able to do for security teams and wants the models, the time, and the engineering support to pursue them. Responsibilities Prototype rapidly to find define the AI frontier for cybersecurity work Design evaluations that measure model performance on the work security teams actually do Build the datasets, harnesses, and scoring those evaluations depend on Engage with the cybersecurity community to help define where AI can make the most impact Work with engineers and researchers to operationalize promising capabilities into something customers can rely on Track how model capabilities for security are changing, and what that means for what we build next Share findings that inform product direction, and partner with product leadership on priorities You may be a good fit if you: Have deep expertise in one or more security domains, such as vulnerability research, exploit development, reverse engineering, malware analysis, incident response, or offensive security Have built AI-powered tools or capabilities for security work Can get from an idea to a working prototype quickly, and abandon the ones that don't hold up Are comfortable designing rigorous evaluations and interpreting the results honestly Can write and communicate clearly about technical findings Have 7+ years of experience in security research, security engineering, or a closely related field Strong candidates may also have: Published research, CTF results, CVEs, or open source security tooling Experience with model evaluation, benchmarking, or red teaming Experience building agentic applications Familiarity with the safety considerations of AI in security contexts Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.