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Location: Remote - Global Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: As a Site Reliability Engineer at Alpaca, you'll help keep our brokerage platform reliable, observable, and operable as we grow - working across our cloud infrastructure, Kubernetes platform, observability stack, messaging layer, and data layer. We're especially interested in candidates with strong PostgreSQL fundamentals who'd like to grow into deeper ownership of our database reliability posture: PostgreSQL sits on the trading-critical path, and we want this person to spend a meaningful share of their time leveling it up while still being a well-rounded SRE the rest of the week. Things You Get To Do Operate production day-to-day - oncall, incident response, postmortems, and the follow-ups that actually close the loop. Own reliability practice - define and refine SLIs/SLOs and error budgets, and help product teams live within them. Strengthen our observability across metrics, logs, traces, and alerting. Ship infrastructure through code in a GitOps workflow - cloud resources and Kubernetes workloads alike. Look after PostgreSQL : performance tuning, schema and migration review, online migrations on large tables, HA/DR, and CDC pipelines. Mentor engineers on reliability and database fundamentals through code review, design review, and pairing. Who You Are (must-haves) 4+ years in SRE, DevOps, Platform/Infrastructure, or backend engineering with significant production operations ownership. Hands-on experience operating production services on Kubernetes , and shipping infrastructure as code in a GitOps workflow. Solid working knowledge of PostgreSQL in production — query plans, pg_stat_*, indexing and schema trade-offs, and what a safe online migration looks like on a non-trivial table. Cloud networking fundamentals (VPCs, routing, L4/L7 load balancing, DNS, TLS) and comfort debugging cross-service connectivity. Comfortable with a modern observability stack and proficient with Linux at the operator level. Practiced in incident response - calm under pressure, structured debugging, postmortems that drive change. At least working proficiency in Go or Python , plus strong written and verbal communication. Genuine interest in databases and in growing your PostgreSQL/DBA expertise. Who You Might Be (Nice-to-Haves): Deeper PostgreSQL experience: large clusters at OLTP load, online migrations on big tables, HA/DR ownership, connection pooling at scale, or change-data-capture pipelines. Experience with typed SQL access layers in Go (e.g. pgx, gorm, sqlc). Production experience with messaging systems at scale (e.g. RabbitMQ, Kafka, Redpanda). Security & compliance experience in a regulated environment (SOC 2, secrets management, audit logging). Familiarity with trading, brokerage, or other regulated fintech domains. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

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 runs some of the largest AI training and inference workloads in the world, across multiple hardware platforms. We work from the chip level up with our silicon partners, and we are now deepening that investment by building a custom silicon team. You will be one of a small number of people covering a large surface. We are opening searches across the key domains below, and we are interested in candidates whose center of gravity sits in any of them: Front-end design Pre-silicon verification Physical design Design for test Analog and mixed-signal Technology and foundry CAD and design infrastructure Packaging, signal integrity, and power integrity This is a role for someone who has shipped silicon, has a realistic relationship with schedules, and is comfortable making consequential calls without a large organization behind them. Key responsibilities Take part in end to end activities for the program: strategy, specification, execution and the technical bar. Write the specifications and interface definitions that others design against and keep them coherent as the architecture converges Make and own directional calls: technology and IP selection, where we build versus buy versus license, and where we take design authority versus rely on partners Build and share AI-assisted approaches to the code-like parts of your domain, and help the team learn what Claude can genuinely accelerate Contribute to the architecture and micro-architecture discussion from your domain's perspective, including the tradeoffs your area imposes on the rest of the chip Partner with Anthropic's inference, performance, kernels, and infrastructure teams on hardware-software co-design, and with our hardware systems team on bring-up and integration Support first-silicon bring-up and debug when it arrives, regardless of which domain you came in through Minimum qualifications Deep, hands-on expertise in at least one silicon domain: front-end design, pre-silicon verification, physical design, design for test, analog and mixed-signal, technology and foundry, design infrastructure, or packaging and signal/power integrity Direct personal contribution to silicon that taped out and shipped, with ownership you can speak to in detail Working fluency in the domains adjacent to your own, sufficient to reason about chip-level tradeoffs outside your specialty Experience working with external partners — ASIC houses, IP vendors, foundries, or test partners — including reviewing their work and holding a technical bar Track record of owning directional technical decisions and their consequences, not only making recommendations Practical experience using AI coding tools in your own work, and clear ideas about where they help and where they do not Clear written and verbal communication, and experience driving alignment across teams and organizations Comfort operating with high autonomy and little scaffolding on a highly dynamic program Preferred qualifications Experience on machine learning accelerators, high-performance compute, or other large, high-bandwidth designs Experience on a founding or early-stage silicon team, including standing up flows, methodology, or tooling from nothing Experience with both partner-executed and fully in-house programs, and a view on the tradeoffs between them Familiarity with the chip-package-system interface and the tradeoffs that cross it Experience with hardware-software co-design and working directly with compiler, kernel, or runtime teams Experience building or extending AI-assisted design, verification, or physical design flows Depth in memory subsystems, on-die interconnect, numerics, or low-power design Representative projects Writing the specification for a compute datapath and defending its numeric format strategy against the alternatives Standing up front-end flows and release management from scratch, then handing releases to an ASIC partner on a fixed cadence Running fast in-house place-and-route loops on a critical block and feeding PPA reality back into the architecture Selecting and qualifying PHY IP, then validating it on first silicon Building a formal verification methodology for a new block and deciding where formal earns its keep versus simulation Defining test strategy and the automated-test-equipment handoff interface with our partner Prototyping a Claude-assisted workflow for RTL review, coverage triage, or specification consistency checking, and reporting honestly on what it did and did not do Debugging a first-silicon failure that crosses your domain and someone else's The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic trains and serves frontier AI models on some of the largest and most diverse accelerator fleets in the world, and the hardware those models run on is one of the most direct levers we have on capability, cost, and reliability. Our Hardware Systems team owns the system-level architecture of that compute — from the package boundary out through boards, racks, interconnect, power, cooling, and the datacenter interface. We're hiring senior hardware systems architects and technical leads who can work broadly across the hardware stack and go deep where it's needed, and who have the judgment to make and own directional calls — what to build, what to buy, what to co-design with a partner. You'll set architecture, write the specs that partners and internal teams build against, and own the validation and qualification strategy that proves the result. The skillsets we need span power, cooling, mechanical, interconnect, signal integrity, data and control plane, system management, reliability and serviceability — applied across networking, compute, storage, and accelerator systems. You'll work closely with our ML performance, infrastructure software, supply chain, and datacenter teams, and directly with hardware vendors and partners across the stack. And because this is Anthropic, you'll have Claude as a genuine collaborator — we expect this team to push on what AI-assisted hardware design and review can look like. Key responsibilities Own system path-finding and architecture for your domain across the breadth of compute Anthropic deploys — from concept and requirements through spec, design review, and deployment — and act as a reviewer and thought partner across the others. Write and own high-level requirements and specifications — system, board, interface, rack — that partners and internal teams build against. Review partner and vendor designs against our requirements, make the build / buy / co-design calls with supply chain and partnership teams, and surface misalignment or schedule risk early enough to act on it. Drive the interconnect and networking architecture that ties our systems together — scale-up and scale-out fabrics, NICs and switches, optics, and topology. Drive board-, chassis-, and system-level architecture with our partners — major component placement, PCB architecture, connector and cable design, and power and thermal budgeting — at the chassis, rack, and data-hall level. Develop performance simulations, hardware models, and "what-if" scenarios to evaluate and choose between candidate hardware architectures. Define validation, bring-up, and qualification strategy for new platforms — including the telemetry and reliability targets they need to hit in the fleet — and track the technology roadmaps and vendor landscape that shape what we deploy in the short and long term. Partner with ML performance and infrastructure software teams so hardware decisions land well for the workloads that actually run on them. Help shape how hardware engineering operates at Anthropic — develop and apply AI-assisted approaches to design, spec review, and validation; establish review forums, spec standards, and partner engagement. Minimum qualifications Deep, hands-on expertise in at least one core hardware-systems domain (e.g., interconnect, power, thermal) for large-scale compute or networking systems. Experience owning hardware system architecture at scale — machine, rack, row, and cluster — and authoring specifications and requirements. Experience taking hardware from architecture through bring-up and high-volume production deployment. Experience working with external hardware vendors and partners — reviewing their designs and holding them to a specification. Ability to reason about trade-offs across adjacent hardware domains (e.g., interconnect ↔ power ↔ thermal ↔ mechanical) rather than within a single one. Track record of technical leadership — owning directional decisions and their consequences, and driving alignment across teams and partners. Comfort operating with high autonomy and limited process in a fast-moving, ambiguous environment. Strong written communication — you'll write specs and reviews that many teams depend on. Preferred qualifications 8+ years in hardware systems architecture or engineering for hyperscale, HPC, AI/ML, or high-end networking platforms. Experience with AI accelerator systems (GPU, TPU, or other custom ASIC platforms) and their scale-up / scale-out fabrics. Familiarity with the chip-package-system interface and co-design. Experience establishing a new function, program, or engineering practice. Comfort working with — and curiosity about pushing — AI tools as part of an engineering workflow. Degree in EE, CE, ME, CS, or a related field, or equivalent experience. Depth in one or more of: High-speed SerDes, PCIe/CXL, Ethernet/InfiniBand, and optical interconnect. BMC and platform firmware, hardware root of trust, and secure boot. 48V/HVDC power delivery and direct liquid cooling. Fleet-scale reliability engineering and RAS architecture. Signal and power integrity. Representative projects Define the scale-up and scale-out interconnect architecture for a next-generation training platform, from link budget and topology through switch / NIC / optics selection and the bring-up and validation plan. Architect the management and control plane for a new hardware system: BMC and host control, power / reset sequencing, secure boot and attestation, and the telemetry surface the fleet needs. Own the rack-level power and thermal architecture for a liquid-cooled accelerator rack, and the interface spec between that rack and the datacenter that hosts it. Build the reliability model and RAS strategy for a multi-thousand-node fleet — failure budgets, derating policy, telemetry requirements, and serviceability targets — and drive the design changes that hit them. Run the technical evaluation of a partner's proposed system design against our requirements, write up where it falls short, and drive the changes end to end. Prototype an AI-assisted workflow for partner design review and spec consistency checking, and put it to work on a live platform. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO - Drive high-impact security and infrastructure initiatives end-to-end. Lead complex, cross-functional programs spanning cloud infrastructure, platform security, identity and access management, detection and response, vulnerability management, and secure software delivery from problem definition through execution and sustained outcomes. - Own execution, planning, and program health. Be accountable for sequencing work, managing dependencies, tracking risk, and ensuring delivery of Sierra’s most critical security programs, with clear milestones and outcomes. - Help shape Sierra’s security strategy. Partner with security and engineering leadership to define priorities, investment areas, and execution plans that align risk reduction with platform growth, customer trust, and long-term scalability. - Build and strengthen security foundations. Drive programs that establish durable security primitives such as identity boundaries, access controls, logging and detection baselines, incident readiness, and secure defaults that future teams and features can confidently build on. - Translate ambiguity into clear execution. Decompose loosely defined security, risk, and compliance challenges particularly in emerging AI domains into structured programs, prioritized workstreams, and measurable outcomes. - Lead communication and alignment. Provide clear updates to leadership on program health, risks, dependencies, and tradeoffs; surface issues early and drive cross-functional alignment. WHO YOU'LL WORK WITH - Engineering: Infrastructure, Data Platform and Agent SDK engineers to shape technical requirements, manage dependencies, and deliver resilient systems. - Security & GRC: Security engineering, risk, compliance, and privacy partners to align on threat models, control strategy, audits, and risk management in a rapidly evolving AI landscape. - Product and GTM: Product, Agent Development, and Sales to operationalize security commitments and respond to sophisticated customer and regulator expectations. - Legal: On security terms, third-party risk, and contractual obligations. - Executive Leadership: Senior leaders who rely on you for clarity, prioritization, and confidence in Sierra’s security strategy and execution. WHAT YOU'LL BRING - Experience running security-focused technical programs in fast-growing SaaS or platform environments. - Strong technical fluency across cloud infrastructure, IAM, infrastructure as code, observability, secure CI/CD, and incident response. - Ability to execute through ambiguity, prioritize effectively, and keep teams moving. - Comfort operating in environments where things aren’t fully built yet and helping decide what needs to be built first. - Clear, concise communication with senior technical and business leaders. - A collaborative, pragmatic style with high ownership and high agency. EVEN BETTER... - Experience scaling security programs globally in AI-first or data-intensive SaaS environments. - Exposure to emerging AI risk, data governance, or agent and model-related security considerations. - Experience supporting security initiatives in public-sector, regulated and/or multi-cloud environments (AWS, GCP, Azure). - Relevant security, cloud, AI or technical program management certifications. - Familiarity with regulatory and compliance frameworks (ISO 27001, PCI DSS, FedRAMP, HIPAA) OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: San Francisco, CA Workplace: OnSite 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: LangChain has strong technical credibility, a large developer community, and a lot worth saying. What we need now is someone to make sure we're saying it — consistently, strategically, and in ways that land. We're looking for a Head of Narratives to own how LangChain shows up in the world across communications, brand, social, and design. This is a role for someone who thinks like a media company operator: always-on publishing, sharp editorial judgment, a clear point of view on the themes that matter, and a relentless focus on getting great narratives in front of the right people at the right time. You'll lead an existing team of rockstars across brand, social, and design — each with deep expertise. Your job is to give the team a shared narrative direction, keep the output sharp and consistent, and make sure LangChain is building an audience that wants to hear from us. This is a player-coach role. You'll set the direction but you'll also be in the work — shaping editorial, giving creative feedback, and reviewing and writing. The right person is opinionated about what good looks like and hands-on enough to help get there.   WHAT YOU'LL DO: Communications - Define the themes and narratives LangChain is hitting. Spearhead the direction on what LangChain should be known for and translate that into a rolling communications strategy the whole team is working from. This is the backbone of everything else. - Own press and media relations. Kickstart our comms efforts, building and managing relationships with key journalists and outlets, drive proactive press coverage, and act as the point of contact for inbound media inquiries. - Shape executive visibility and thought leadership. Identify the moments, platforms, and formats where LangChain's leaders should have a voice, and help them show up with a clear, consistent point of view. - Lead announcement strategy. Plan and execute communications around major launches, funding, partnerships, and company milestones, working cross-functionally to make sure the story lands with the right audiences at the right time. - Set and uphold the communications standard. Define LangChain's voice in the outside world and the quality bar for anything that goes out under its name. Brand - Shape brand direction in close partnership with the brand lead. The brand lead focuses on brand voice, visual identity, and standards. You'll work closely together to align on where the brand is headed, what it stands for, and how it shows up — with narrative and brand informing each other rather than operating separately. - Stay close to major brand moments. Bring a point of view on concept and messaging for out-of-home, awareness campaigns, and other brand initiatives. Work with the brand lead to make sure what we're saying and how we're showing up are pulling in the same direction. - Make sure brand and narrative feel like one thing. The brand should feel like a natural extension of the editorial point of view, and vice versa. Social & Rich Media - Partner with the social lead on strategy, themes, and goals. The social lead focuses on growing LangChain's social channels and ways to amplify our content and messaging. Work together to ensure social is amplifying the themes and narratives the broader team is driving. - Shape LangChain's rich media approach together. Work with the social lead to develop a shared point of view on how video, audio, and other formats fit into the content mix — where they build audience, where they deepen credibility, and how to build the right execution muscle over time. - Track what's working, what's not, and use it to sharpen direction. Stay close to performance across content, comms, brand, and social to have a better sense on where to focus, what narratives are resonating, and where to double down. Brand Design - Lead the creative direction for brand design in close partnership with our brand designer. Own the visual vision for how LangChain looks and feels — and work day-to-day with our brand designer to translate that into execution across campaigns, content, comms, social, and brand moments. - Be a strong creative partner. Have a real point of view on what looks right, what earns trust with a technical audience, and where the work needs to go further. Give clear direction and help the designer do their best work. - Keep visual identity consistent across every channel. A media company looks like itself everywhere it shows up. Make sure LangChain does too. Team Leadership - Lead by being in it. Develop your team by being close to the work — giving useful feedback, shaping output, and raising the bar through example. - Build the operating rhythm. Establish the rituals and shared workflows — editorial planning, cross-functional reviews, publishing cadences — that help brand, social, comms, and design operate as a unit. - Connect narrative to the rest of the business. Translate what marketing, sales, product, and leadership need into a narrative strategy your team can execute — and keep everyone aligned as priorities shift.   WHAT WE'RE LOOKING FOR: - Ability to work like a media company operator. You think in publishing cadences, audience development, and narrative arcs — not just campaigns. You know what it takes to build an always-on narrative engine and keep it running at a high standard. - Player-coach. You've led creative, comms, or content teams and know how to develop people — but you stay close to the work and make it better by being in it. - Strong narrative instincts. You have a clear point of view on what makes a brand story work and can translate that into real direction across comms, brand, social, and design. - Analytically grounded. You track what's working, form a view on why, and use that to make better decisions about where to focus. You connect creative work to business outcomes. - Developer audience instincts. You understand what earns trust with technical audiences and can orient a creative team around that bar. - Collaborative and clear. You work well with strong practitioners who own their domains — building alignment without stepping on what they own. Nice to Have - Experience leading narrative, brand, or comms teams at a developer-focused company - Background in technical or developer marketing - Familiarity with the AI/ML ecosystem and the tools developers use to build - Track record running brand campaigns, including out-of-home or awareness programs Salary Range: $200K-$240K 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: 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 As an AV Production Specialist, you'll own the day-to-day operation of the event technology behind how Anthropic communicates — the all-hands, the executive presentations, the live broadcasts. You are the owner of these productions: accountable for their technical outcome from the moment a request arrives through to the follow-up after the room clears, and the technical partner our executives, events team, and communications partners rely on to make them land. This is an operations role with engineering depth behind it. You'll work across the same technology stack as our broadcast engineering practice with your center of gravity in execution and service. You'll keep our event spaces in a state of readiness through preventative maintenance, and be the calm, capable presence that executives, comms partners, and event producers learn to trust. Your work directly enables the collaboration and transparency that advance our AI safety mission. Responsibilities Live Event Production & Run-of-Show Own the technical execution of live and hybrid events, from small executive presentations to company-wide all-hands broadcasts reaching thousands of participants Serve as technical director for live productions across the full range, up to and including executive presentations and company-wide broadcasts Operate production systems during live events including video switchers, audio consoles, camera systems, playback, and streaming encoders Build and run the technical run-of-show: cue sheets, source lists, rehearsal schedules, and backup plans Direct contractors and onsite technicians during productions, delegating clearly under time pressure Troubleshoot and escalate complex production issues with clear diagnostic context Communicate status, risk, and resolution to non-technical stakeholders in clear, calm, jargon-free language Handle confidentiality and access requirements for sensitive sessions, including recording and streaming controls Event Intake, Scoping & Scheduling Own the event technology intake process end-to-end: request triage, technical scoping conversations, and staffing Right-size production approach to event type, translating stakeholder goals into an equipment and staffing plan that fits the constraints and scope of our team’s SLA Take on genuinely novel events and leave a repeatable standard behind — a template, runbook, or gear list that makes the next one easier than the first and repeatable by the team Maintain the event technology calendar and coordinate coverage across the AV Operations team Partner with Events, Internal Communications, and Workplace teams on lead times, expectations, and readiness Support Operations & Room Health Execute preventative maintenance programs and recurring room sweeps across event spaces and conference rooms Maintain and test inventory of equipment including wireless microphones, cameras, and portable production gear pre event, following event production framework Contribute to runbooks, standard operating procedures, and knowledge base documentation Surface recurring operational pain points to AV Engineering as candidates for systemic fixes You May Be a Good Fit If You: Have 8+ years of hands-on experience in AV operations, live event production, or technical event support Have owned the technical side of live productions end-to-end — not just operated a single position Bring working fluency across event audio, video, camera, and streaming systems, with enough depth to diagnose problems rather than only report them Are energized rather than drained by being the front-facing technical partner to executives and event producers Bring structure to ambiguity by building systems for repeatable events Strong Candidates May Also Have: Technical direction for corporate broadcasts, conferences, or multi-camera productions Q-SYS DSP platform, including reading and reasoning about existing audio/video routing and control designs PTZ and professional camera systems, camera control units, and multi-camera workflows Video conferencing platforms and hardware including Google Meet, Zoom Rooms, and hybrid meeting technologies Live streaming workflows including encoders and encoding settings, contribution and delivery protocols (RTMP, SRT, HLS) Network fundamentals for AV-over-IP including multicast, VLANs, QoS, and bandwidth management Ticketing and workflow systems such as Jira, and building intake or request workflows within them Coordinating AV contractors, integrators, and labor for event coverage Role Specific Location Policy: This role will be based in our San Francisco HQ This role is expected to be in office 5 days per week Occasional evening and early-morning coverage is expected around major events 4-6 weeks of travel annually will be expected for this role for distributed event support as needed Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - US About the Job: As a Senior Enterprise Account Executive, you will play a pivotal role in nurturing and expanding relationships with large enterprise accounts within your designated territory. You should possess exceptional business acumen, a customer-centric approach, and the self-motivation to thrive with minimal supervision. Moreover, you must be adaptable and proficient in wearing multiple hats as you take on this crucial responsibility. We have full confidence in your ability to make the right decisions and drive results autonomously. LaunchDarkly is a rapidly evolving software company with a strong mission and vision, powered by a diverse and talented team. Our mission is to accelerate software development by empowering teams. Joining our dynamic and fast-growing team, you will make an immediate impact on our product and customer success. Responsibilities: Ownership of Large Enterprise Accounts: You will be the primary point of contact and relationship owner for large enterprise accounts within your territory. Territory and Account Planning: Develop comprehensive territory and account plans, proactively drive outbound pipeline generation independently, and collaborate effectively with Business Development Representatives. Ensure Successful Adoption: Ensure the seamless adoption of LaunchDarkly within these large enterprises through robust account management. Coordinate closely with pre-and-post sales engineering, customer success, and support teams to guarantee client satisfaction. Elevate LaunchDarkly's Visibility: Increase LaunchDarkly's visibility and communicate our value proposition effectively to Vice Presidents and C-Suite executives within these large enterprises. Collaboration with Solutions Engineers: Work closely with your solutions engineer counterpart to deliver both business and technical value to prospects and customers. Cross-functional Collaboration: Collaborate with internal teams, including product support, developer relations, marketing, and revenue operations, to align our offerings with customer business needs effectively. About You: Entrepreneurial and Self-Motivated: You are driven and proactive, taking ownership of your role and responsibilities. Passion for Learning and Growth: You are enthusiastic about continuous learning and personal development at LaunchDarkly. Intellectual Curiosity and Ambition: You have a hunger for knowledge and strive for ambitious goals. Excellent Communication: Your written and spoken communication skills are outstanding. Highly Organized & Autonomous: You are capable of efficiently managing your workload and thrive in an environment that encourages autonomy. Adaptability: You excel in a fast-paced and dynamic organizational setting. Qualifications: 7+ years of Enterprise (closing) Sales Experience Experience selling DevOps products or a strong technical understanding of developer workflows and pain points, with the ability to communicate how solutions address these challenges. You have a demonstrable track record of consistently meeting or exceeding quota expectations. You possess the expertise to navigate consultative sales cycles with Executive-level stakeholders at Fortune 500 companies. You have experience implementing and succeeding with a Land & Expand SaaS Sales strategy, effectively expanding business within large enterprise accounts. Recent experience working for an emerging technology software company is a significant plus. Familiarity with and experience using the MEDDPIC sales methodology is advantageous. Travel: expected range of 25% to 50% as needed Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $269,400 - $370,480** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $242,500 - $333,410** Zone 3: All other US locations - $229,000 - $314,930** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We’re looking for a senior operator to own the quality bar behind Harvey’s human evaluations. As we scale globally, the volume of eval work is growing 10x, but volume only matters if the output is trusted. This role makes Human Data’s signal decision-grade: rigorous, calibrated, and reproducible enough that Product, Engineering, and AI Research act on it to ship. As a member of our Evaluation Operations team, you’ll work alongside our Evaluation Operations Manager (who runs throughput and coordination) and partner closely with Applied Legal Researchers, Product, Engineering, and AI Research. You'll set the standard for what "good" looks like across eval data and methodology, and own the data analyses to make conclusions that teams will rely on, building the stakeholder trust that lets EPD act on the signal. WHAT YOU'LL DO - Own the quality bar for Harvey’s human evaluations: define what “good” looks like for eval methodology and data analysis, and produce decision-grade outputs for EPD - Author and maintain the evaluation guidelines, instructions, and databases that contract attorneys work from - Standardize and streamline rubric and evaluation design into repeatable templates and one documented methodology, partnering with Applied Legal Research (ALR), who supplies feature-specific legal depth - Own contract-attorney quality: onboarding, calibration training, inter-rater reliability, and the feedback loop (including benchmarks and gold references) that keeps judgment consistent across attorneys and over time - Conducting quantitative and qualitative statistical analyses, diagnosing error states, investigating root causes, and turning raw eval results into a structured, prioritized signal Product and ALR can act on - Run QA on vendor and contract-attorney deliverables against a defined bar before results inform a launch decision - Ensure the quality bar holds across jurisdictions and non-English geographies as coverage expands - Establish one standard, documented way to analyze eval results, and build lightweight operational dashboards to track rater capability and eval-program health - Support ALR in a review step that certifies an evaluation is sound before it scales to contract attorneys - Partner with ALR and Analytics to determine where human eval aligns with online signal and where it can provide expanded insights WHAT YOU HAVE - 6+ years in product operations, research operations, evaluation/QA operations, or quality program management - A track record of owning quality inputs (guidelines, instructions, benchmarks, QA procedures) for complex, expert-driven or human-in-the-loop work - Experience onboarding, training, and calibrating a distributed pool of expert raters, annotators, or reviewers, and running the feedback loop that improves their quality over time - Enough grounding in measurement concepts (calibration, inter-rater reliability, sampling, rubric design) to independently set up and own the quality of our evaluation loop yourself - Experience with running quantitative and qualitative data analyses, interpreting and running statistical tests on evaluation data (natively or with AI tool support), and communicating conclusions to various stakeholders - A record of scaling and streamlining evaluation quality processes under shipping pressure, with a bias toward documentation and reproducibility over one-off analysis - Ability to work deeply with domain experts (e.g., ALR / lawyers) and translate nuanced judgment into repeatable, documented standards - Strong cross-functional coordination across Product, Engineering, Research, ALR, and data providers/vendors - Clear communicator who can build credibility and trust with stakeholders - Bias to action and high ownership, from writing the guideline to auditing a vendor batch line by line BONUS POINTS - Experience in legal tech or working with domain experts in regulated industries - Experience owning quality across multiple markets, languages, or jurisdictions - Built calibration, inter-rater reliability, or capability-tracking systems for annotation or evaluation pipelines - Experience transitioning evaluation work in-house or otherwise improving evaluation ROI - Familiarity with LLM-as-judge / automated evaluation used alongside human eval - Early employee at a hyper-growth startup, or experience at a world-class product or platform operations org COMPENSATION $155,400 - $233,200 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-CD1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Program Manager for the Legal Engineering organization, you will be joining Harvey's Legal Engineering organization to drive the operational infrastructure that enables one of the company's fastest-growing GTM functions to scale effectively. The Legal Engineering team partners directly with the world's leading law firms and professional services providers to deploy AI-powered solutions, and this role ensures that the programs, processes, and systems underpinning the team operate with rigor and consistency. You will partner with Legal Engineering managers, Sales Operations, Product, and leadership to translate strategic priorities into executable programs that drive measurable outcomes. It is a rare opportunity to build program management from the ground up within a high-growth function at the intersection of AI and legal services. WHAT YOU'LL DO - Design and execute end-to-end programs that support the Legal Engineering team's operational rhythm. - Build and maintain the processes, tooling, and documentation that enable Legal Engineering managers to operate consistently across regions (US, EMEA, APAC). - Drive change management initiatives as the Legal Engineering organization scales, ensuring smooth adoption of new processes and tools. WHAT YOU HAVE - 4–7 years of experience in program management, operations, or enablement within a high-growth technology or professional services environment. - Demonstrated ability to design and deliver cross-functional programs from concept through execution, managing multiple stakeholders and competing priorities. - Strong communication and facilitation skills with the ability to influence without authority across a distributed organization. - Experience with change management, process design, and operational scaling in fast-paced environments. - Comfort with ambiguity and a bias toward action—able to build structure where none exists and iterate quickly. - Familiarity with GTM functions, legal technology, or AI products is a strong plus. COMPENSATION $155,100-$232,700 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-LS1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. About the Role We're looking for a Senior Product Manager to join our Platform Product team, working on mission-critical systems that power our global infrastructure. Depending on your background and strengths, you'll focus on one or more of the following areas: Compliance & Regulatory Products — Translating global regulatory frameworks (MiCA, VASP, MAS) into scalable product solutions; KYC/AML systems; market launch and business migration User Account & Identity — Account architecture, authentication, security & risk control, user lifecycle management Fund & Asset Infrastructure — Deposit/withdrawal systems, unified trading accounts, multi-chain asset management, RWA integration AI-Powered Products — LLM/RAG/Agent applications for customer-facing and internal efficiency use cases Key Responsibilities Define product strategy and roadmap for platform-level systems serving millions of global users Translate complex business, regulatory, or technical requirements into clear product specifications Drive cross-functional execution across engineering, design, compliance, and operations Own end-to-end product delivery from discovery through launch and iteration Build scalable product frameworks that balance user experience, security, and regulatory requirements Requirements 7+ years of product management experience, with 3+ years in relevant domains (compliance, account systems, payments/funds, or AI products) Background in crypto exchanges, fintech, brokerage, or large-scale internet platforms Strong systems thinking — comfortable with architecture-level product design Proven ability to ship complex, cross-functional products in fast-moving environments Excellent English communication skills for global stakeholder engagement Data-driven decision making with strong analytical skills Preferred Qualifications Experience at leading crypto platforms or top-tier fintech/brokerage firms Track record of 0-to-1 product launches in regulated or high-security environments Understanding of blockchain infrastructure, multi-chain architecture, or on-chain asset management Experience with LLM/AI product development and deployment at scale Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Remote - USA Workplace: Remote The R&D team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate. Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream. Chainalysis data has helped solve some of the world’s highest-profile criminal and national-security cases and made it safer for people everywhere to access crypto. The Global Intelligence Team produces the attribution at the heart of that data — connecting on-chain activity to the real-world entities behind it, across the global crypto ecosystem. It’s the intelligence data moat beneath every Chainalysis product, and what investigators, sanctions authorities, and national-security agencies rely on to follow the money and disrupt threats. Few threats test that mission harder than North Korea and China. Through Lazarus Group, the DPRK has stolen billions in crypto — via exchange and DeFi hacks and IT-worker schemes — to fund its weapons program, then laundered it through mixers, cross-chain bridges, and Chinese OTC networks. China, in turn, sits at the center of global crypto money laundering — from guarantee marketplaces and underground banking to scam compounds, fentanyl vendors, and cartel-linked laundering. The two are deeply intertwined, and making that activity visible on-chain is one of the most consequential problems in crypto intelligence today. As our DPRK- and China-focused intelligence analyst — the team’s subject-matter expert on North Korea and China — you’ll own that problem end to end. This is a depth role: while our analysts cover the breadth of the crypto-services ecosystem, you’ll go deep on a single, high-stakes domain — becoming the person, inside Chainalysis and increasingly across the industry, who understands how DPRK and Chinese actors use crypto and can prove it on-chain. You’ll own the attribution for their crypto footprint, map how these networks actually operate, turn that into finished intelligence customers act on, and be the expert voice representing Chainalysis on DPRK and China crypto threats. Who you’ll work with You’ll join a fast-moving, globally distributed team — analysts, threat-domain SMEs, data scientists, and engineers — collaborating across time zones, async and in real time. We move fast, hold each other to a high bar, and back each other up across regions. As the DPRK & China SME, you’ll be the single point of depth for the domain and a force multiplier for everyone working adjacent to it. In this role, you’ll: - Own DPRK & China attribution end to end — the threat-actor entities, their definitions, and the accounts, addresses, and infrastructure they operate: Lazarus Group and DPRK state-sponsored theft and laundering, DPRK IT-worker networks, Chinese-language OTC and underground-banking networks, guarantee marketplaces (e.g., Huione-style platforms), scam-compound and pig-butchering laundering infrastructure, fentanyl and precursor vendors, and Chinese money-laundering organizations. - Lead the attribution response to DPRK- and China-related sanctions events — when OFAC or allied authorities designate DPRK actors, exchange-hacking units, or Chinese laundering networks, drive the rapid, high-visibility on-chain attribution that turns those designations into coverage in our data, often against the clock. - Map the networks on-chain — trace how stolen and illicit funds move through mixers, cross-chain bridges, no-KYC swaps, OTC brokers, and off-ramps, following DPRK hack proceeds into and through Chinese laundering infrastructure, and keep that picture current as they adapt to pressure. - Produce finished intelligence — advisory notes, customer and partner briefings, and contributions to flagship publications (the Crypto Crime Report and beyond) that make DPRK theft/laundering and Chinese money laundering legible and actionable. - Be the named external expert — represent Chainalysis on DPRK and China crypto threats at conferences, on panels, with the press, and in briefings to public- and private-sector partners. - Help set the DPRK & China collection agenda — surface what data we need on these networks and feed those requirements into our collection process and priority intelligence requirements; you direct collection for the domain, but it runs through the team’s apparatus and prioritization, not you alone. - Translate typologies into detection — turn what you learn about DPRK and Chinese methods into guidance that our products and our customers can operationalize. - Build with AI — design and tune the automation that scales your analysis and the team’s, and handle the hard cases automation can’t. - Level up the team — raise the bar on DPRK, China, and money-laundering tradecraft broadly, and partner closely with analysts, other SMEs, data science, and engineering. We’re looking for candidates who have: - Deep, demonstrable DPRK and/or China expertise — real command of DPRK state-sponsored crypto operations (Lazarus Group, exchange and bridge hacks, IT-worker schemes) and/or Chinese-language money laundering, OTC and underground banking, guarantee marketplaces, and organized-crime finance. This is the core of the role, and we’ll expect you to show it. - On-chain tracing ability against DPRK/China targets — direct experience following DPRK hack laundering or Chinese OTC/laundering networks on-chain, or deep DPRK/China threat-finance expertise paired with proven blockchain-tracing skill you can bring to bear here from day one. - A national-security or threat-finance background — intelligence, sanctions, counter-threat-finance, or investigations, from the IC, Treasury/OFAC, law enforcement, the military, a think tank or research institution, or private-sector CTF/sanctions work. - Regional fluency — a strong grasp of the DPRK and Chinese illicit-finance ecosystems and regional money-laundering flows. Mandarin and/or Korean language ability is a significant plus. - Elite potential and a proven track record — exceptional aptitude, judgment, and work ethic; you’ve led hard problems end to end and you raise everyone around you. - Excellent writing and communication — this is an outward-facing expert role; your intelligence has to land with analysts, customers, and senior audiences alike. - AI-forward instincts — you build automation to scale your work and others’, not just use it. - Comfort working with data; blockchain forensics experience strongly preferred. - 5+ years of relevant analytic, intelligence, or threat-finance experience for a Senior hire; 8+ years and recognized domain authority for a Staff hire. You might also have: - Mandarin and/or Korean language ability. - Direct experience with OFAC sanctions, designations, or the designation process — especially involving DPRK or Chinese entities. - A record of published research or public speaking on DPRK crypto theft, Lazarus Group, or Chinese money laundering. - Familiarity with cross-chain bridge and mixer laundering, guarantee marketplaces (e.g., Huione-style platforms), or Chinese OTC and underground-banking networks. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

We are a global algorithmic trading firm with an advanced technology stack, driving the full trading cycle — from market research and strategy design to algorithm development and software engineering. Our strength lies in deep market expertise and the continuous evolution of our infrastructure to stay ahead of the industry. Responsibilities: — Work through high-level business and technical requirements with the product, trading, and engineering teams, then build the resulting platform features. — Design, build, and maintain core platform components in Rust: exchange and broker gateways, data pipelines, monitoring tools, and algo trading infrastructure. — Optimize latency, throughput, and stability based on measurements and load testing. Low latency, reliability, and determinism are hard requirements. — Add observability to new components (metrics, logs, tracing, alerts, dashboards) so execution issues get caught early. — Diagnose incidents in the trading loop, find the root cause, write up the analysis, and fix the problem so it does not recur. — Ensure quality through automated (unit, integration, performance) and manual testing with QA, and maintain the test harnesses and integration suites that validate scenarios before production. — Document modules, service contracts, integration rules, and operational runbooks. — Help design and decompose features and epics, taking the product and trading side and operational risk into account. Qualifications: — 5+ years of relevant experience building low-latency, high-reliability systems. — Extensive experience in Rust. — Good understanding of computer systems and software architecture: Linux, networking, data structures and algorithms, concurrent and parallel programming, distributed computing, and performance optimization. — Strong engineering fundamentals and a preference for readable, maintainable code and sensible testing. — Takes ownership of tasks through to production and works to clear blockers, including pushing peers when needed. — Higher technical education or equivalent professional experience. Nice to have: — Familiarity with a trading domain: market data, trading protocols, operational risk. What we offer: — Remote-first: work from anywhere. — Tech-driven environment: no bureaucracy, legacy systems, or tech debt. — Growth & development: work with top talent in a fast-paced, innovation-driven culture. — Perks: medical insurance, sports benefits, home office setup, and educational support.

Location: Warsaw Workplace: Hybrid - Job title: Senior Accountant - Location: Warsaw, Poland - Team: Group Accounting - Employment Type: Permanent - Working Arrangement: Hybrid (3 days per week on-site) - Employment is subject to applicable security screening (incl. SUPO)   Who are we?   ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy - day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.   As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience.   ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, India, Portugal, the Netherlands, Germany and the US. The company has more than 1600 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation.   About the role As ICEYE continues its rapid global expansion, our Finance organization is scaling to match the pace and ambition of the company. We are now seeking a Senior Accountant to join our Group Accounting team and play a central role in ensuring the accuracy, integrity, and efficiency of our financial operations. Based in Warsaw or Espoo, and reporting to the Group Accounting Senior Manager, you will be a key contributor in our monthly group closing and consolidation process, taking ownership of journal entries, accruals, reconciliations, and subsidiary oversight. In this role, you will work at the heart of a fast-moving, international environment where accounting plays a critical role in enabling confident decision-making and supporting ICEYE’s growth trajectory. The position offers significant opportunities for professional development, exposure to complex and evolving accounting topics, and the ability to help shape and optimize our financial processes as the company scales. You will join a motivated and collaborative team that values continuous improvement, ownership, and a proactive mindset. What you will do Execute day-to-day general ledger and controlling activities, including timely and accurate booking of journal entries, accruals, and balance sheet reconciliations. In addition, you will: - Identify potential for and apply AI and automation tools to scale output and drive efficiency. - Support the monthly group closing, ensuring the completeness, accuracy, and consistency of group and subsidiary financial data. - Oversight of subsidiaries, acting as a point of contact to ensure adherence to group policies, reporting timelines, and quality requirements. - Contribute to the preparation of financial reporting deliverables, including IFRS footnotes for consolidated statements and FAS reporting for the parent. - Collaborate closely with Business Finance, Engineering, Global Manufacturing, and other teams to ensure accurate financial data, alignment on business activities, and timely information flow. - Drive standardisation and scalability of general ledger processes in a rapidly expanding multinational environment, promoting consistency, efficiency, and quality across entities. - Identify, recommend, and implement process improvements that enhance efficiency, strengthen controls, and mitigate risks before they materialise. - Support the development and optimisation of NetSuite by contributing to design requirements, configuration improvements, workflow enhancements, and testing activities. - Assist with year-end audit activities, providing accurate documentation and timely explanations. Role-specific Competences - You have at least 4-5 years of experience in general ledger accounting, ideally in a high-growth, multinational environment. - Minimum of bachelor’s degree in accounting or finance. - Tangible, hands-on experience with AI and automation, demonstrated through concrete examples (beyond prompting). - Strong knowledge of financial reporting, including IFRS, and tax compliance. - Exposure to and experience in financial transformation, including process and ERP development initiatives. - Self-motivated, proactive, with the ability to see the bigger picture. - Demonstrated proficiency in Microsoft Office and Google Suite tools and infrastructure. - You have excellent analytical and problem-solving abilities with attention to detail. - Excellent communication skills in English (written and verbal). - You are based in Warsaw, Poland In addition to the above, the following are considered advantageous: - In the process of obtaining or in possession of a professional accounting qualification e.g. CA, ACCA, CPA, or similar. - Experience working within the Big 4 . - Knowledge of Finnish Accounting Standards APPLICATION PROCESS - TA screening - Hiring Manager Interview - Take-home assignment (1 week to complete) - Assignment review with VP of Global Corporate Controlling and Accounting Manager - Final interview with CFO   WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.   HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.   BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location.   OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Hong Kong/ Shenzhen Workplace: remote Role Overview CertiK is the global leader in Web3 and blockchain security. We are seeking a high-energy, target-driven Business Development Manager based in Hong Kong to accelerate our growth across the APAC region. In this role, you will lead end-to-end sales cycles—from proactive outbound lead generation to closing deals for our suite of security solutions, including smart contract audits, penetration testing, formal verification, Skynet threat monitoring, and compliance services . You will serve as a bridge between traditional financial institutions entering the digital asset space (Web2) and crypto-native projects (Web3), leveraging your regional market understanding and language capabilities to secure high-value security partnerships. Key Responsibilities Pipeline Generation & Outbound BD: Actively identify, prospect, and engage decision-makers (CTOs, Founders, Head of Web3/Digital Assets) across blockchain protocols, DeFi projects, RWA tokenization platforms, exchanges, and Web2 institutional entrants. Full Sales Cycle Execution: Drive complex, multi-stakeholder sales cycles from initial outreach and technical discovery to proposal creation, price negotiation, and contract execution. Enterprise & Institutional Sales: Engage traditional financial institutions, asset managers, family offices, and tech enterprises seeking institutional-grade security for their Web3 initiatives. Cross-Functional Collaboration: Work closely with CertiK’s global security engineering, solutions architecture, delivery, and marketing teams to ensure smooth deal execution and client onboarding. Account Expansion & Networking: Build long-term relationships with key accounts to drive renewals, audit add-ons, and monitoring subscriptions. Represent CertiK at local industry events, conferences, and ecosystem meetups. Key Requirements & Qualifications Experience: 2–5 years of successful B2B sales or business development experience in Web3, blockchain security, cybersecurity, SaaS, or institutional fintech. Domain Knowledge: Strong familiarity with Web3 native ecosystems (EVM chains, Layer 1/Layer 2 protocols, DeFi, tokenomics, smart contract architectures). Good understanding of Web2 cybersecurity fundamentals (e.g., penetration testing, code review, risk assessments). Core Languages: Professional working proficiency (written and spoken) in English and Mandarin for regional collaboration and global client management. Track Record: Proven ability to meet or exceed quarterly sales quotas through structured outbound outreach and consultative deal closing. Language & Skills Bonuses (Highly Preferred) Cantonese Advantage (Bonus): Native or full professional fluency in Cantonese is a strong advantage for localized Hong Kong institutional coverage, government/regulatory networks, and local Web3 builders. Regional Asian Languages (Bonus): Proficiency in additional regional languages—such as Japanese, Korean, or Vietnamese, —is a significant bonus for driving APAC cross-border expansion or local market expansion. Security & Audit Familiarity: Direct experience selling smart contract audits, penetration tests, or bug bounty services. Regulatory Context: Understanding of Hong Kong’s digital asset licensing landscape (e.g., SFC VASP regulations, HKMA stablecoin frameworks). Education: Bachelor’s degree in Computer Science, Cybersecurity, Finance, Business Administration, or a related field. This role must be performed outside the United States. We are unable to consider candidates who will work from within the U.S.

Location: San Francisco; New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We’re looking for a versatile Senior Analytics Engineer focusing on Product to architect event data models that power decision-making at Harvey. With product-market fit already proven and demand surging across diverse customer segments, you’ll design clean, reliable pipelines and semantic data models that turn raw events into usable insights. As an Analytics Engineer on our team, you’ll help evolve our data stack, champion best practices in testing and documentation, and collaborate closely with product, GTM, and leadership to ensure every team can answer its own questions with confidence. If you combine engineering rigor with a love of storytelling through data we’d love to meet you. WHAT YOU'LL DO - Design and build scalable data models and pipelines using dbt to transform raw data into clean, reliable assets that power company-wide analytics and decision-making. - Define and implement a robust semantic layer (e.g. LookML/Omni/Other) that standardizes key business metrics, dimensions, and data products, ensuring self-serve capabilities for stakeholders across teams. - Partner cross-functionally with Product, GTM, Finance, and the Exec Team to deliver intuitive, consistent dashboards and analytical tools that surface business health metrics. - Establish and champion data modeling standards and best practices, guiding the organization in how to model data for accuracy, performance, usability, and long-term maintainability. - Partner with Product Managers, Engineers, and Data teams to design tracking plans for new product surfaces, ensuring events are implemented accurately, consistently, and with downstream analytics use cases in mind. - Own the product event tracking strategy, including event naming conventions, property schemas, identity resolution, sessionization, versioning, deprecation, and documentation standards. - Empower stakeholders with data by making analytical assets easily discoverable, reliable, and well-documented – turning complex datasets into actionable insights for the business. - You’ll define the structure, taxonomy, governance, and modeling patterns for product event data, ensuring that user behavior, product usage, and customer journeys are captured consistently from instrumentation through analytics-ready models. WHAT YOU HAVE - 5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field. - Deep expertise in SQL, dbt, Python, Snowflake. - Experience with modern BI tools like (Looker/Omni, or similar). - Skilled at defining core business and product metrics, uncovering insights, and resolving data inconsistencies across complex systems. - Strong familiarity with version control (GitHub), CI/CD, and modern development workflows. - Bias for action – you prefer launching usable, iterative data models that deliver immediate value over waiting for perfect solutions. - Strong communicator who can build trusted partnerships across Product, GTM, Finance, and Exec stakeholders. Comfortable working through ambiguity in fast-moving, cross-functional environments. - Balances big-picture thinking with precision in execution – knowing when to sweat the details and when to move quickly. - Experience modeling high-volume, semi-structured product event data, including JSON payloads, nested properties, user/account identifiers, sessions, funnels, cohorts, and behavioral metrics. - Experience with product analytics tools (Mixpanel, Segment, Amplitude) BONUS - Early employee at a hyper-growth startup - Experience with or knowledge of AI and LLMs - Data Engineering Experience - Experience managing data warehouse (preferably Snowflake) - Experience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir) COMPENSATION $155,800 - $233,600 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-CD1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Ho Chi Minh City, Vietnam Insurance is one of the world's largest industries and one of the most painful to interact with . Paper forms. Sluggish call centres. Three-week underwriting cycles. Claims that vanish into queues. We are rebuilding all of it on top of a modern platform and AI agents that actually do the work, not pretend to. You will not be picking up tickets. You will be deciding what to build, prototyping it on Monday, shipping a draft to a real customer by Friday, and improving it from real usage. We expect you to push the product, the codebase, and the way we work. Why This Role Exists We are looking for someone who treats AI as a creative material, not a feature on a roadmap. The next year of insurance is being defined right now. What gets automated, what gets reimagined, what gets thrown out. We want builders who want to be in that room and ship the answer. The team is small. The mandate is large. If your highest-energy work has historically come from solving real problems end to end, this is the seat. What You Will Do Own outcomes, not tickets. Pick the biggest lever for our customers each sprint and drive it to live. Surface the next one yourself. Build with AI as a primary tool, not a chatbot bolt-on. OCR, document understanding, generation, agent loops, evaluation harnesses. You decide where each fits. Ship prototypes fast, then make them production-grade. A working demo on day three beats a perfect plan on day ten. Work directly with customers. You will see real claims, real underwriting screens, real broker workflows. You will watch users hit dead ends and decide what to fix. Raise the bar on the codebase. Reviews, refactors, testability, observability. Not as policy, as habit. Push the team forward. Skills, agents, internal tools, engineering standards. Propose them, build them, get them adopted. Who You Are You ship. Ideas without execution do not count for you. High agency. You do not wait for a card to be assigned. You see what is worth doing and you start. Strong opinions, loosely held. You make calls with incomplete information and change your mind when the evidence shifts. Curious about the domain. Insurance is messy and full of weird incentives. That intrigues you, not annoys you. Fluent with AI. You have shipped something real with LLMs or agents. You know where the magic ends and where you have to engineer carefully. Care about humans on the other end. Insurance done right gives people peace of mind in their worst weeks. That is the point. Your Toolbox We use Node.js + TypeScript + Nest.js on the back end, Vue (and some React) on the front end, GraphQL, MongoDB, Docker, AWS. AI work spans OpenAI, Anthropic, Google, plus a growing set of in-house skills and agents. You do not need to have used every piece. You do need to be the kind of engineer who picks up a new tool and is shipping with it within the week. What We Expect at This Level 6+ years building production systems. Track record of complex, customer-facing software shipped, not just maintained. Real AI experience. You have built and shipped at least one substantive AI-driven feature. POCs that died in a notebook do not count here. Strong fundamentals. OO, design patterns, testing, web security, performance. You do not need a refresher. Cloud comfort. AWS, Azure, or GCP. At least one in depth, the rest enough to hold a conversation. Communication. You can explain a tradeoff to a non-technical stakeholder in two minutes and to an engineer in one. Not Suitable for the Role If… You prefer tickets assigned to you over choosing what to build. You measure your work in lines of code, not outcomes. You see AI as a buzzword to put on your CV rather than a tool you have actually used in anger. You want a process-heavy environment with detailed specs handed down from product. You are looking for a maintenance role on a finished platform. Why CoverGo Insurance is the rare industry where AI can save people hours of their worst weeks. We are already shipping AI-powered claims, underwriting, distribution, and document automation to enterprise carriers across five continents. The platform is real. The customers are real. The next chapter is yours to help write. Why You'll Love Working Here 13th-Month Pay Annual Performance Bonus 15 Days of Annual Leave Anniversary Bonus Health Insurance Company Activities and Events Learning and Development Plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Dammam, Saudi Arabia The Enterprise Communications Architect is responsible for defining, designing, and governing the enterprise communications architecture strategy across data networks, transmission networks, and satellite communication domains. The role provides architectural leadership to ensure the development of scalable, secure, and future-ready communication solutions aligned with enterprise business objectives and technology strategies. Key Responsibilities: Develop and maintain enterprise communications architecture frameworks, standards, and reference designs. Define target-state architectures and strategic roadmaps for enterprise data networks, transmission networks, and satellite communication platforms. Provide architecture governance and review solution designs to ensure alignment with enterprise standards and best practices. Lead the evaluation, selection, and adoption of communication technologies and architectural solutions. Ensure communication architectures support scalability, reliability, security, and operational efficiency. Collaborate with enterprise architects, infrastructure teams, cybersecurity teams, and business stakeholders to align technology solutions with organizational goals. Provide technical guidance and architectural recommendations for complex communication initiatives. Assess current communication environments and identify opportunities for modernization and optimization. Establish design principles, patterns, and governance processes for enterprise communication solutions. Qualifications: Bachelor’s degree in Computer Engineering, Telecommunications Engineering, Information Technology, or a related discipline. Master’s degree preferred. Professional certifications in enterprise architecture, networking, or telecommunications are preferred. Experience: 15+ years of experience in enterprise communications architecture, network architecture, or related technology domains. Extensive experience designing and governing enterprise-scale communication networks. Strong knowledge of data networks, transmission networks, and satellite communication technologies. Proven experience developing architecture standards, reference models, and technology roadmaps.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team Foragers is a new Field Services team within our physical infrastructure organization. We're the boots on the ground for Anthropic's physical infrastructure: the people who get hardware into racks, gear commissioned, and sites handed over. The team is being stood up now, so early hires shape how we operate. This role is the lab-focused counterpart to our traveling field engineers. Instead of covering sites across the country, you own our Bay Area hardware labs from end to end. About the Role Your mission is to ensure our hardware labs are functional, useful, and ready to support the growing number of teams and projects that need access to physical hardware. You’d own what shows up, how it’s powered, cooled, cabled, tracked, set up, and made functional. This includes both standard hardware (think typical accelerator setups) and more specialized ones like ensuring our security teams have access to all the right headers and other hardware instrumentation on the machines. Understanding and anticipating the needs of the various teams that rely on the labs will be another critical part of this role. You’ll be expected to take a lot of ownership and initiative over the lab and what’s in it, including reaching out to partner teams to figure out what they’d need in the future and making sure it’s there before it starts to block them. This will require you to collaborate closely with those partner teams, so a breadth of knowledge around hardware is extremely useful. You’d be the first dedicated lab manager, so part of this role will include shaping it to scale from our current lab to much larger ones. What You’ll Do Run the physical lab across both sites: receiving and staging, rack-and-stack, cabling, power distribution and load planning, cooling, floor layout Bring up new server and accelerator platforms as they arrive, from crate to a machine someone can SSH into: firmware and BIOS/UEFI setup, out-of-band management, OS install, network provisioning Own hardware procurement for the lab: work with teams on what's coming, order ahead of need, chase quotes and lead times, keep receiving and inventory in order Own RMA processes end-to-end for lab hardware: triage, swap, ship, track, close; drive vendor escalations Build the one-off setups engineers ask for: debug and programming harnesses (JTAG/SWD/UART), remote power switching, console and KVM access, and the occasional improvised fix for hardware running outside the conditions it was designed for Oversee smarthands and contractor work on-site (electricians, cabling crews, riggers, integrators, OEM field engineers): scope it, dispatch it, validate the quality Handle physical access, asset auditing, and lifecycle tracking for hardware that is expensive and sometimes pre-release Write it down: build the playbooks and lightweight tooling (inventory, remote power, console access) so remote teams can use the lab without pinging you for every step Who You Are Hands-on experience running a hardware, systems, or datacenter lab, or a similar physical compute environment: rack-and-stack, copper and fiber cabling, power distribution (PDUs, circuits, phase balancing) Working knowledge of server hardware and its management plane: BMC/IPMI/Redfish, BIOS/UEFI configuration, serial console, PXE/network boot, firmware updates Enough Linux and networking (VLANs, DHCP, DNS, basic switch config) to take a bare machine to a state a remote engineer can use Have managed vendors, contractors, quotes, and freight for physical equipment Comfortable and safe with power tools, bench power supplies, and a wiring or rack elevation diagram Work independently with minimal supervision , and know when to ask Bias toward action and comfort with ambiguity: you'd rather move and adjust than wait for perfect information Communicate clearly and directly, especially when flagging risks or blockers Strong Candidates May Also Have Stood up a lab or datacenter room from empty: layout, power and cooling budget, first round of purchasing Time around high-density accelerator systems (GPU/TPU-class racks), liquid cooling, or pre-release/NPI hardware bring-up Electronics bench skills: soldering and rework, scope and multimeter, custom cable and debug harnesses, JTAG probes, light fabrication (3D printing, drilling, mounting) Supported hardware security, firmware, or platform bring-up work Experience with DCIM or asset-management tooling (NetBox, ServiceNow, etc.) Bought hard-to-source or specialty hardware and dealt with the compliance and logistics that come with it Location This role is based in our San Francisco office (500 Howard St). Travel to nearby lab spaces is required so expect to be in-office more frequently than Anthropic's standard 25% hybrid baseline. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.