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Security Engineer
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. About the Role Lambda Security protects some of the world's most valuable digital assets: training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best-of-breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence. As a Security Engineer at Lambda, you'll touch many areas across the security program such as building detections, hardening infrastructure, reviewing designs, automating toil, and responding to incidents. Reporting to the Head of Security and partnering closely with Product Engineering, Data Center Operations and Engineering, IT, and embedded Technical Program Managers, your work shapes the security posture customers rely on. Security at Lambda directly enables customer trust and unlocks enterprise revenue. Our customers run billion-dollar training jobs and irreplaceable model weights on our infrastructure; our job is to make Lambda the safest place to build with AI. Over the next 12-18 months, you'll help deliver our 2026 security roadmap, expand detection coverage for AI-specific threats, help mature our incident response program, and ship security automation that other engineering teams adopt voluntarily. You'll also have direct access to LLMs hosted on Lambda's own infrastructure to push security operations beyond what's possible elsewhere. Security is a broad field, and we don't expect you to be an expert in everything our team does, but we do expect you to learn quickly, ship across domains, and support the specialists around you. If you enjoy moving between detection, architecture, and platform work and want to build security alongside the engineers you're protecting rather than from the outside then we'd love to talk. We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role. Your application is not a waste of our time. What You'll Do - Build and Tune Detections: Develop and refine detection content across our SIEM and EDR to catch threats targeting customer data, model weights, and infrastructure. - Respond to Incidents: Participate in on-call, lead investigations end-to-end, and turn each incident into automation, playbooks, or controls that prevent the next one. - Harden Systems Directly: Remediate vulnerabilities and security findings in production, partnering with engineering teams when fixes cross team boundaries. - Review Architectures and Code: Provide actionable security feedback on high-level designs and individual changes, and turn recurring review patterns into reusable standards. - Build Security Tooling: Ship Python or Go services that automate evidence collection, vulnerability triage, and other toil, using Lambda's hosted LLMs where they meaningfully accelerate the work. - Partner Across Engineering: Work with Product Engineering, Data Center Operations and Engineering, IT, and Legal to land security improvements at the moments they're cheapest to adopt. - Balance Strategic and Tactical: Recognize when to invest in a long-term fix versus when "good enough" is exactly that, and bias toward measurable forward progress. What We Think a Candidate Needs to Demonstrate to Succeed - 5+ years of demonstrated security engineering experience, either directly as a security engineer or as an engineer driving security outcomes. We also welcome equivalent backgrounds: significant formal security training paired with strong engineering experience. - A track record of working across security domains; for example, shipping detection work in one role and architecture, platform, or vulnerability management work in another. We don't expect mastery of every domain; we do expect demonstrated breadth and eagerness to learn. - Thrives in high-speed, high-ambiguity startup environments where priorities shift regularly and structure must be built while executing. - Strong hands-on Linux experience that showcases your ability to protect both our applications and the cloud we build underneath them. - Comfortable solving problems in Python, Go, or a similar language, with the discipline to ship production-grade tooling rather than only one-off scripts. - Excellent collaboration with technical teams both with and without authority (we're all on the same team!). Nice to Have - You've led or developed a meaningful component of a security program (detection & response, security architecture, platform/tooling, vulnerability management, GRC operations, etc.). - Experience driving or providing significant evidence for compliance audits such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP. - Significant experience operating large-scale production services (e.g., SRE across thousands of hosts) or with virtualization at scale (KVM, Hyper-V, Xen). - You've built or deployed critical security infrastructure such as SIEM, SOAR, EDR, IDS/IPS, or canary/honeypot systems. - Experience with AI/ML infrastructure security, model security, or protecting high-value computational workloads. - Enthusiasm about leveraging direct access to state-of-the-art LLMs to push security operations beyond the status quo, including through automated triage, intelligent alert correlation, AI-assisted code review. Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda - Founded in 2012, with 500+ employees, and growing fast - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG - Our values are publicly available: https://lambda.ai/careers - We offer generous cash & equity compensation - Health, dental, and vision coverage for you and your dependents - Wellness and commuter stipends for select roles - 401k Plan with 2% company match (USA employees) - Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Managing Partner
Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: - Enterprise Platform & Tools : Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale - Frontier Data Labeling Service : Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models - Expert Marketplace : Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us - High-Impact Environment : We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. - Technical Excellence : Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. - Innovation at Speed : We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. - Continuous Growth : Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. - Clear Ownership : You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview About the Role The Managing Partner owns the successful delivery of complex customer programs from initial scoping through steady-state execution — on time, to the quality bar, and at margin. This is a senior, customer-facing role for operators who can translate a customer's technical and business requirements into clear execution plans, coordinate multiple internal workstreams, own the economics of the deployment, and ensure projects meet their throughput, quality, delivery, and margin commitments. Managing Partner sit at the intersection of customer relationship management, technical program management, and operational and financial execution. They must understand the underlying technical requirements of each program well enough to pressure-test implementation plans and communicate tradeoffs clearly with the customer — and own the unit economics well enough to protect margin while they do it. The Managing Partner is the operations-and-margin leg of the customer team: they own delivery and the deployment's economics, partnering with the General Manager, who owns the broader customer relationship and growth. They are the primary point of accountability for the delivery of a major customer or portfolio of projects, and the customer's point of contact when timelines, requirements, or operational performance are in play. They coordinate Technical Program Managers and Forward Deployed Engineers across the account, ensuring each workstream is staffed from the pools, technically sound, and aligned with the broader customer objective. This role is equivalent in seniority to a TPM Manager, but with a stronger emphasis on customer ownership, deployment success, and margin. It is a senior destination on the TPM track and a pathway toward a General Manager role. General Managers own the broader account end-to-end, including the overall customer and researcher relationships, proposal development, account strategy, operating cadence, and the portfolio of deployments delivered for that customer. What You'll Do - Own the end-to-end deployment of projects for one or more major customers, from initial scoping and technical design through launch and ongoing execution — accountable for throughput, quality, delivery, and margin. - Own the economics of your deployments: instrument margin live, manage the cost-to-revenue picture across the account's projects, and make the in-flight calls (comp structure, staffing, project structure) that protect it, the level where TPMs escalate margin-structure decisions. - Serve as the customer's primary point of contact for delivery — timelines, technical requirements, risks, and operational performance. - Develop a detailed understanding of each customer's technical requirements: system constraints, integrations, data flows, workflows, and acceptance criteria. - Translate customer requirements into clear project plans, milestones, owners, success metrics, and a margin model. - Ensure the account's projects move through their gates — calibration before scaling, staged ramp, delivery acceptance — so quality and margin hold across the portfolio. - Work closely with FDEs, TPMs, and FDRs to validate implementation plans, manage dependencies, and ensure technical decisions support the customer's goals and the deployment's economics. - Coordinate TPMs and FDEs across multiple concurrent projects, maintaining a clear view of progress, staffing, risk, margin, and cross-project dependencies — and ensure projects are staffed from the pools and the data-trainer workforce is sized and productive via TPMs and Pod Leads. - Communicate technical and economic tradeoffs and implementation risks clearly to customer stakeholders and internal teams. - Identify risks early, establish mitigation plans, and escalate when timelines, technical feasibility, quality, or margin are at risk. - Partner with FDEs, FDRs, the Talent/Crowd team, the GM, and platform teams to unblock execution. - Establish the operating cadence, dashboards, and escalation paths that create visibility and accountability — and improve deployment playbooks as the organization scales. What You'll Own - Delivery of your customer's portfolio — on time, to the quality bar, and at or above target margin. - The deployment's economics: live margin, the cost-to-revenue picture, and the in-flight decisions that protect it. - The customer's trust on delivery and operational performance. - A clear operating cadence and a live view of progress, staffing, risk, and margin across projects. What We're Looking For - Significant experience owning complex, cross-functional programs in a customer-facing environment — as an operator who has run things, not advised on them. - Financial and commercial numeracy: comfort owning margin, building and reading the unit economics of a program, and making the call to protect it. - Strong technical fluency and the ability to quickly understand complex systems, workflows, and implementation requirements. - Ability to communicate credibly with technical customer stakeholders while translating technical detail into clear decisions for non-technical audiences. - A track record of partnering effectively with engineers, program managers, and cross-functional operators. - Excellent judgment: you can distinguish technical issues from execution issues from customer-management issues, and find the right path to resolution. - A strong track record of delivering against ambitious timelines while holding a high bar for quality. - Comfort operating in ambiguous environments where requirements evolve and processes are still being built. - Strong operational instincts, a bias toward action, and attention to detail across multiple projects at once. Nice to Have - Background in consulting, banking, private equity/VC, or an operating role where you owned a P&L or a hard number. - Experience deploying technical products, services, or data-intensive programs. - Familiarity with AI, machine learning, data pipelines, or RL/evaluation work. - Experience working directly with forward-deployed engineers, solutions engineers, or implementation teams. - Experience managing strategic accounts with multiple parallel workstreams. - Experience building repeatable operating systems for a rapidly scaling organization. What Success Looks Like In your first several months, you'll take ownership of a major customer deployment, develop a strong understanding of its technical and operational requirements, stand up a clear operating cadence, and bring real visibility to delivery risk and margin. You'll build strong working relationships with the TPM, FDE, and FDR teams and the GM, keep the technical and operational workstreams coordinated, hold your projects to their gates, and become the customer's trusted point of contact when implementation decisions, timelines, or margins are at risk. Over time, you'll help define how the organization deploys complex technical programs at scale. Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location. Annual base salary range $200,000 - $230,000 USD Life at Labelbox - Environment : Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making - Growth : Career advancement opportunities directly tied to your impact - Vision : Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy : Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice . Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.
Product Engineer
ABOUT KREA At Krea, we are building next-generation AI creative tools. We're dedicated to making AI intuitive and controllable for creatives - our mission is to build tools that empower human creativity, not replace it. We believe AI is a new medium that allows us to express ourselves through various formats - text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. We recently took this a step forward with the launch of Krea 2 https://www.krea.ai/blog/krea-2-image-model, our first foundation model, built completely from scratch for aesthetic diversity and stylistic control. We've raised over $83M and are backed by world-class investors such as a16z, Bain Capital, and Abstract. We work full-time and in-person at our waterfront office in San Francisco. We care about creativity: our team includes musicians, designers, visual artists, and engineers. THIS ROLE We're looking for a product engineer to help take sub-products already driving significant revenue and make them more robust, while shipping new product surfaces for our creative users. You'd work primarily in SvelteKit (React experience also fine), touching Postgres/Redis/ClickHouse, with occasional reach into Python ML inference on GPU clusters and our multi-cloud k8s setup as needed. WHAT YOU'LL DO - Build real-time collaboration and canvas tooling (e.g. WebGL2/WebGPU for our node-based tools & CRDTs) - Ship durable execution for long-running workflows and public APIs (OpenAPI docs auto-generated from Zod schemas) - Reach into Python ML inference on GPU clusters and our multi-cloud k8s setup as features require it - Own cross-service metrics, tracing, and observability for the features you ship WHAT WE'RE LOOKING FOR - 4+ years of experience, ideally with 1+ years contributing to a product with millions of users - Real, significant Svelte or React experience - this isn't a pure-backend role - Strong first-principles thinking and product sense over attachment to any specific framework - Comfort owning things end-to-end, from idea to shipped, measured impact - Clear written and verbal communication - Taste - a strong, well-developed point of view on what good creative work looks like Nice to have - Python/PyTorch or GPU-backed ML inference experience - A creative background (design, art, architecture, or similar) OUR STACK - SvelteKit, TypeScript, Python, Postgres (AWS Aurora), Redis, ClickHouse, Docker, Kubernetes, FluxCD WHAT WE OFFER - Team: Work alongside a world-class team building the future of AI creative tooling - Impact: Significant scope and company-wide impact - Competitive compensation: generous salary & equity packages - Health & wellness: 100% health & 99% dental/vision insurance premiums covered for employees, health FSA accounts, & long-term disability coverage - Time off: Flexible PTO policy - Financial planning: 401k with a 4% company-sponsored match - Meals in the office: breakfast, lunch, dinner - you name it, we'll cover it - Transit: Ubers covered to & from the office - Sponsorship: We're open to sponsoring international visas where we can (e.g., STEM OPT, OPT, H-1B, O-1, E-3). - And more! Please note the above benefits & perks are for full-time employees
Senior Security Engineer
Jasper is the marketing agents platform, built to help enterprises orchestrate AI agents that execute marketing work at scale. Purpose-built for marketing teams, Jasper enables faster, more consistent execution across campaigns, personalization, localization, and compliance—while maintaining enterprise-grade control and governance. Jasper is trusted by hundreds of enterprises worldwide, including Prudential, Cushman & Wakefield, and nearly 20% of the Fortune 500. Founded in 2021, Jasper has team members across the U.S., Australia, and France. ABOUT THE ROLE As a Senior Security Engineer at Jasper, you'll be the first true generalist on our Security Engineering team—someone equally comfortable securing and building AI agents and platforms as they are automating GRC controls or hardening cloud infrastructure. This role sits at the center of a fast-moving security function, partnering closely with Engineering, GRC, Product, and IT to protect the systems and AI products Jasper builds. You'll set technical direction on AI security while still being hands-on across infrastructure, product security, and compliance engineering—a true jack-of-all-trades role that flexes across the full security spectrum as priorities shift. This is a force-multiplier position on a small team where your work will have outsized impact on how Jasper builds securely at scale. This fully remote role reports to the Director, Security and is open to candidates located anywhere in the US. WHAT YOU WILL DO AT JASPER - Lead the security design, implementation, and controls for Jasper’s AI infrastructure and AI-powered internal workflows—building the guardrails that govern how AI systems access, process, and handle sensitive data at every layer - Own threat modeling for AI-specific risks, including the attack surfaces that don’t map cleanly onto traditional application security, and design controls for validating, logging, and auditing AI outputs where accuracy and data protection are non-negotiable - Build security tooling and automated checks that let internal teams adopt AI capabilities without slowing down - Collaborate, design, and influence the direction of the Security program at Jasper - Work with the GRC team to build and maintain GRC-related engineering—automating evidence collection, control monitoring, and compliance workflows (ie. via Vanta or similar) so the team spends less time on manual audit prep - Strengthen infrastructure security across GCP and AWS: identity and access management, network segmentation, secrets management, and secure-by-default infrastructure patterns - Own and improve GitHub security controls—branch protection, required reviews, secret scanning, dependency/SCA policies, and CI/CD pipeline security - Operate and tune Wiz (or equivalent CSPM/CNAPP tooling) to continuously identify and drive remediation of cloud misconfigurations and vulnerabilities - Use AI tools heavily in your own workflow (code review, triage, detection engineering, documentation) and help the broader security and engineering org do the same safely, while partnering cross-functionally with Engineering, Legal, Product, IT, and GRC to translate security and compliance requirements into practical, low-friction engineering solutions WHAT YOU WILL BRING TO JASPER - AI fluency—a working understanding of core AI concepts (LLMs, agents, copilots, tokens, credits, context windows, RAG, data governance, etc.), applied in the context of security engineering, with demonstrated enthusiasm for using AI tools to work faster and more effectively day to day - 8+ years in security engineering, with hands-on experience across at least two of: AI/ML security, cloud infrastructure security, and/or GRC compliance engineering - Practical experience securing AI systems—LLM applications, agents, or ML pipelines—including familiarity with common AI-specific threats (prompt injection, data leakage, model abuse, insecure tool use) - Deep understanding of security principles, best practices, and common vulnerabilities, including strong security judgment under ambiguity - A proactive mindset, with the ability to identify, prioritize, and address security gaps or inefficiencies through automation and tooling - Expertise and curiosity about using frontier models and agents to effectively solve security challenges - Demonstrated ability to build security programs, processes, or standards from scratch rather than inheriting a mature playbook - Strong working knowledge of GCP and AWS security services and IAM models - Experience with GitHub security controls (branch protection, secret scanning, Actions/CI security) and secure software supply chain practices - Hands-on experience with Wiz or a comparable CSPM/CNAPP platform - Comfort building automation and tooling (scripting, APIs, infrastructure-as-code) rather than relying solely on point-and-click console work - Strong cross-functional collaborator who can communicate security and compliance tradeoffs clearly to both engineers and non-technical stakeholders - Direct experience building or securing AI agent frameworks, agent tool-calling systems, or internal AI platforms - Experience supporting SOC 2 / ISO 27001 or similar compliance frameworks and working with GRC platforms (e.g., Vanta, Drata) - Background in detection engineering or building internal security tooling - Experience being an early or first specialized hire on a small security team, comfortable with ambiguity and shifting priorities - Experience working in AI infrastructure platforms (e.g., Modal, CoreWeave, etc.) COMPENSATION RANGE At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range offered for this role is $174,250 - $205,000. Compensation may vary based on relevant experience, skills, competencies, and certifications. BENEFITS & PERKS - Comprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families - 401(k) program with up to 2% company matching - Equity grant participation - Flexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from work - FlexWellness program ($1,800 annually) to help support your personal health goals - Generous budget for home office set up - $1,500 annual learning and development stipend - 16 weeks of paid parental leave Our goal is to be a diverse workforce that is representative at all job levels as we know the more inclusive we are, the better our product will be. We are committed to celebrating and supporting our differences and that diversity is essential to innovation and makes us better able to serve our customers. We hire people of all levels and backgrounds who are excited to learn and develop their skills. We are an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state or federal laws. By submitting this application, you acknowledge that you have reviewed and agree to Jasper's CCPA Notice to Candidates, available at legal.jasper.ai/#ccpa http://legal.jasper.ai/#ccpa.
Senior Manager, Engineering
Jasper is the marketing agents platform, built to help enterprises orchestrate AI agents that execute marketing work at scale. Purpose-built for marketing teams, Jasper enables faster, more consistent execution across campaigns, personalization, localization, and compliance—while maintaining enterprise-grade control and governance. Jasper is trusted by hundreds of enterprises worldwide, including Prudential, Cushman & Wakefield, and nearly 20% of the Fortune 500. Founded in 2021, Jasper has team members across the U.S., Australia, and France. ABOUT THE ROLE As a Senior Manager, Engineering on the IQ Platform team, you'll lead the vision and architecture behind the context layer that powers everything our AI agents do. Our agents run end-to-end marketing workflows with high quality and reliability because of the IQ layer. This is one of the most important technical areas of our product: the IQ Platform helps agents understand business context, deliver high-value intelligence, and execute complex marketing workflows. This is a player-coach role: you'll lead a team of engineers while staying close to the architecture and code, acting as both a people leader and a hands-on technical contributor. You'll partner with Staff-level engineers to cut through ambiguity and drive technical strategy forward. Your guidance will shape the roadmap for our knowledge management and RAG systems, and drive the evolution of a context layer that learns and improves over time. This fully remote role reports to the Senior Director, Engineering and is open to candidates located anywhere in the US. WHAT YOU WILL DO AT JASPER - Lead the IQ Platform team—set technical direction, coach engineers, and own delivery of major platform initiatives end-to-end - Chart and communicate the vision for our context layer, aligning engineering investments with business impact and product strategy - Build and scale our knowledge management system, including external integrations and RAG pipelines that feed high-quality context to our agents - Design and implement the architecture that makes our context layer self-improving—learning from usage, feedback, and new data to continuously raise quality - Act as a player-coach: write and review code alongside the team while mentoring engineers and raising the bar on technical excellence - Partner with Staff-level and senior engineers across the org as a strategic thinking partner on complex, ambiguous problems - Balance velocity and quality in a startup environment—shipping major systems pragmatically while keeping the architecture extensible - Collaborate cross-functionally with Product, Design, and other Engineering teams to ensure the IQ Platform powers real-world agent workflows at scale WHAT YOU WILL BRING TO JASPER - AI fluency—a working understanding of core AI concepts (LLMs, agents, copilots, tokens, credits, context windows, RAG, data governance, etc.), applied in the context of building and leading an AI platform engineering team - 10+ years of hands-on software engineering experience, with demonstrated people leadership and technical architecture ownership - Proven leadership at a company focused on business impact—you develop engineers, build healthy teams, and connect technical work to business outcomes - Flexibility to ship major systems in a startup environment—scrappy, velocity-oriented, and comfortable with ambiguity and evolving requirements - Ability to work effectively with Staff-level engineers as a true thinking partner on hard architectural and systems-design problems - Strong systems design and architecture skills, with experience building production platforms or infrastructure at scale - Nice to have: Hands-on experience with LLMs and applied LLM systems - Nice to have: RAG expertise, including retrieval pipelines, embedding strategies, and evaluation - Nice to have: Familiarity with LLM frameworks such as LangChain COMPENSATION RANGE At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range offered for this role is $238,000 - $280,000. Compensation may vary based on relevant experience, skills, competencies, and certifications. BENEFITS & PERKS - Comprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families - 401(k) program with up to 2% company matching - Equity grant participation - Flexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from work - FlexWellness program ($1,800 annually) to help support your personal health goals - Generous budget for home office set up - $1,500 annual learning and development stipend - 16 weeks of paid parental leave Our goal is to be a diverse workforce that is representative at all job levels as we know the more inclusive we are, the better our product will be. We are committed to celebrating and supporting our differences and that diversity is essential to innovation and makes us better able to serve our customers. We hire people of all levels and backgrounds who are excited to learn and develop their skills. We are an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state or federal laws. By submitting this application, you acknowledge that you have reviewed and agree to Jasper's CCPA Notice to Candidates, available at legal.jasper.ai/#ccpa http://legal.jasper.ai/#ccpa.
Senior Technical Program Manager (InfoSec), London
Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you. About Iso Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI. Your impact As InfoSec Technical Program Manager, you will translate Isolabs’ security strategy into engineering reality. Reporting to the CISO, with a strong functional tie to the TPM Discipline Lead, you will operate at the critical intersection of risk management and research velocity. You will steer the InfoSec Roadmap, driving complex security initiatives—from protecting proprietary AI models to embedding Zero Trust architecture—across a fast-moving, highly regulated landscape. Going beyond traditional project management, you are a technical enabler who partners directly with engineering and ML teams. You will navigate architectural roadblocks, secure sensitive drug discovery pipelines, and ensure leadership has the data-driven, operational visibility needed to protect a pioneer in digital biology. What you will do - Structure and drive multi-quarter security project roadmap, balancing long-term strategic initiatives (e.g., Cloud Security, Platform IAM, Secure SDLC) with immediate business needs. - Lead ad-hoc initiatives and high-priority business requests, such as securing sensitive regulated data transfers for drug discovery to architecting guardrails for novel Agentic AI workflows. - Drive the end-to-end delivery of security projects by working hand-in-hand with engineers, navigating the complex Alphabet/Google Ecosystem, and ensuring high-quality execution. - Educate and advocate for InfoSec across the business, acting as a “product manager” regarding InfoSec’s capabilities, assets, responsibilities, and SLAs. - Build extensive and trusting relationships with engineers, researchers and leaders across the company. Act as the bridge between the business and security in order to provide balanced recommendations to the CISO and the TPM Lead. - Design automated, data-driven dashboards that provide the CISO and engineering leaders with clear visibility into program health, operational KPIs, and risk reduction metrics. Skills and qualifications Essential: - Technical Credibility: Deep fluency across Security, Tech, and AI, allowing you to partner effectively with senior engineers and researchers. - Strategic Execution: Proven track record of driving complex roadmaps from concept to delivery. You excel at navigating ambiguity and taking decisive action when scientific and financial stakes are high. - Pragmatic Risk Management: Ability to make calculated trade-offs between security posture, technical debt, and research velocity without stalling innovation. - Cross-Functional Influence: Exceptional ability to influence without formal authority, championing security as a core priority across engineering, ML, and business teams. - Proactive Problem Solving: You anticipate architectural bottlenecks, untangle cross-team dependencies, and turn complex organisational friction into clear, actionable project plans. - Translational Communication: Highly skilled at translating CISO’s objectives into technical requirements and condensing complex technical and organisational challenges into concise and actionable plans for leadership. Nice to have: - Domain expertise in highly regulated, data-intensive industries (Life Sciences, Pharma, Deep Tech). - Hands-on experience navigating GCP and the internal Alphabet/Google ecosystem (on-corp) - Engineering background with hands-on skill regarding Cloud Architecture, Zero Trust, IAM, and security observability. - Familiarity with InfoSec and AI Management Frameworks (ISO 27001, ISO 42001) and emerging AI security frameworks (e.g., OWASP Top 10 for LLMs, MITRE ATLAS). - Industry-standard security or program management certifications (e.g., CISSP, CISM, CCSP, or Agile/Scrum methodologies). Culture and values We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. Thoughtful Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. Determined Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we. Together Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere. Creating an extraordinary company We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Hybrid working It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. Please note that when you submit an application, your data will be processed in line with our privacy policy . >> Click to view other open roles at Isomorphic Labs
Research Leader / Senior Scientist (Computational...
Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you. About Iso Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI. About the Applied Computational Drug Design team We are a dynamic team of Computational Chemists transforming how drug discovery happens. By partnering deeply with our machine learning colleagues, we are doing more than just leveraging the Isomorphic Labs drug design engine - we are actively shaping it. We use our computational expertise to challenge and refine our algorithms, creating a powerful symbiotic relationship between data and computation that drives our internal and collaborative portfolios. Our team works closely together in a supportive environment, where everyone is valued for their computational chemistry expertise and the experience they bring to the group. We have a strong growth mindset and prioritise continued development and learning. Your impact We’re hiring at the Research Leader and Senior Scientist levels, and you can apply for either position using the application form below. These roles are ideal for experienced computational chemists who are eager to shape the future of drug discovery at the intersection of computational chemistry and artificial intelligence. Working as either a Program Lead or a Computational Chemistry Lead, you will provide scientific expertise and strategic direction for portfolio drug discovery projects, guiding them from initiation towards clinical candidate selection. Working alongside world-leading ML scientists, you will play a critical role in enhancing our AI platform through your technical expertise, and apply these improvements to drug design projects. You will have experience of working broadly across drug discovery projects, with the ability to think originally and critically, knowing when to apply innovative ideas, and think with a fresh approach. If you are a skilled Computational Chemist with a passion for applying cutting-edge technology to complex scientific challenges, this role offers an unparalleled opportunity for impact and growth. As part of this hiring, some roles will have people management responsibilities for building teams of 2-3 Computational Chemists. In this case, you will be responsible for line managing and mentoring a talented and high-performing team, encouraging their scientific growth and career development. You’ll champion our cross-disciplinary approach, fostering a supportive team culture where continuous learning and the adoption of next-generation tools are the standard, not the exception. What you will do - Apply AI-first approaches to provide technical and strategic directions, and execute drug design programs. Take ownership as either an overall Program Lead or Computational Chemistry Lead. - Collaborate cross-functionally to support the data-driven delivery of high quality scientific solutions to complex technical problems - Establish principles for embedding cutting-edge AI/ML into modern computational chemistry workflows, ensuring seamless integration across ML, Biology, and Chemistry teams. - Provide strategic input and technical direction to our ML platform teams. - If Program Leadership: Champion the drug discovery pipeline, overseeing external collaborations (with CROs) and leading programs to meet critical go/no-go milestones. Prepare detailed scientific proposals and reports to support new and ongoing programs. - Embrace and champion our culture of inclusion and continuous professional development. Skills and qualifications Essential: - PhD in Computational Chemistry, or a related scientific field, or equivalent industrial experience. - 8+ / 5+ years of professional experience in a Computational Drug Design role, operating within a biotech, pharma or CRO setting. - Proven track record of project leadership / leading computational chemistry efforts on drug discovery programs, demonstrating significant contributions to project progression (ideally from hit identification through to lead optimisation or candidate nomination). - Expertise in writing and implementing Python scripts for analysis and tool development, and/or utilising pipelining tools to support cheminformatics and design workflows. - A genuine passion for drug discovery and enthusiasm for the potential of ML to transform the field. - For a people / program management position: experience of leading a high-performing scientific team, mentoring and empowering them to thrive in their roles. - Strong track record of scientific achievements, evidenced by publications, patents, and presentations. - Excellent communication (written and verbal) and interpersonal skills, with an ability to work effectively in a cross-functional, collaborative team environment. - Track record of strategic thinking and creative problem solving with a strong growth mindset, adaptability, and eagerness to learn new concepts and techniques. Nice to have: - Prior experience leveraging machine learning and generative AI methods for hit finding (e.g. ultra-large virtual screening and active learning), molecular design and lead optimisation (e.g. REINVENT, cofolding and AI-powered ligand/pose scoring methods). - Knowledge of other specific drug discovery approaches like fragment-based drug design (FBDD), and alternative modalities like PROTACs, molecular glues, PPI inhibitors or stabilisers, peptides etc. - Understanding of drug metabolism and pharmacokinetics (ADME + DMPK) principles. - Fluency in Python with ability to write code for new tools. - Track record of authorship of relevant scientific manuscripts and/or inventorship of composition of matter patents. - Experience working with or managing activities at contract research organisations (CROs). Culture and values We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. Thoughtful Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. Determined Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we. Together Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere. Creating an extraordinary company We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Hybrid working It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. Please note that when you submit an application, your data will be processed in line with our privacy policy . >> Click to view other open roles at Isomorphic Labs
Senior Director, Project & Portfolio Management
THE OPPORTUNITY The unprecedented convergence of multi-modal data, advanced disease modeling, and computational power is revolutionizing drug discovery. insitro is harnessing this moment to redefine how medicines are developed for complex diseases. Our AI/ML-enabled platforms integrate and scale data to rapidly discover novel biological insights to redefine complex diseases and identify new targets and drugs. To enable this vision we are seeking a Senior Director of Project & Portfolio Management (PPM) who will build an AI-forward PPM organization that will partner with Therapeutic Area, Operations, Clinical and Business Development teams to discover and advance a high-value portfolio of exciting drug candidates into the clinic for neurological, ophthalmological and metabolic indications. Reporting into the CSO, you and your staff will partner with project team leaders in developing rightsized project strategies and create successful team environments to foster high performance and rapid advancement. You will develop and execute high quality integrated project plans with clear timelines spanning research, discovery, clinical development, software engineering, and data science/machine learning. As the leader of PPM you will partner with Compute, Operations and Finance colleagues in establishing agentic AI project management, decision and resource allocation tools and methodologies across our portfolio to support critical initiatives. This role will be hybrid, coming onsite to our South San Francisco headquarters with three days per week in the office. ABOUT YOU - BS degree required in a life science field, MS or PhD preferred - Minimum of 15 years of experience in biotech/pharmaceutical industry in the R&D and clinical development space, including 8+ years in project/portfolio leadership leading cross-functional matrix teams - Extensive knowledge of the drug development process and deliverables at each stage of the pipeline across at least one preferred drug modality (recombinant biologic, small molecule, oligonucleotide), with deep experience in translational stages, CMC workflows, early commercial assessment and clinical development (IND into Phase 2) - Highly skilled at conventional project management – driving execution while balancing speed, quality, and cost including proficiency with project management tools and software, e.g., critical path analyses, scenario planning, budget and resource management - Exposure to the design and implementation of agentic workflows in a pharma or biotech environment - Experience with setting up or leading decision making bodies (governance) and/or portfolio planning and reviews processes with appropriate decision tools - Solid understanding of metabolism, neuroscience or ophthalmology disease areas and its competitive environment with the ability to take part in strategic discussions - Previous experience in high visibility roles requiring the ability to think strategically and summarize complex information into important concepts for broader communication including executive leaders - Deep experience leading matrix team meetings to enable collaboration, decision-making, and alignment with internal and external customers while leading all aspects of project scope, deliverables, risks, and resources - Ability to resolve complex problems using strong interpersonal skills while building and maintaining positive working relationships with collaborators - Comfortable working in dynamic startup settings; adept at navigating ambiguity, evolving priorities, and time/resource constraints. - Self-directed and proactive with ability to exercise good judgment and respond quickly and effectively to changing environments NICE TO HAVE - Project Management Certification (PMP or equivalent) - Familiarity with Google Suite and Smartsheets strongly preferred - Prior use of generative AI tools / LLM technologies in day-to-day work (e.g., ChatGPT, Gemini, Claude) - Understanding of high-content human data modalities (e.g., genetics/genomics, histopathological imaging, spatial biology) and data generation technologies - Familiarity with and passion about machine learning enabled drug discovery YOUR WAYS OF WORKING AND ALIGNMENT WITH INSITRO VALUES - "Get Things Done": A self-starter, with a strong bias to action, who can prioritize and advance multiple projects under the resource, information and time constraints of an early stage startup - "Engage with Respect": Prioritize a compassionate understanding of the needs and perspectives of insitro teams and leaders in every interaction and analysis - “Create together”. We innovate through curiosity, collaboration, and learning from diverse perspectives - "Own the Outcome": Proactively take ownership of solving problems COMPENSATION & BENEFITS AT INSITRO Our target starting salary for successful US-based applicants for this role is $264,000 - $298,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies. In addition, insitro also provides our employees: - 401(k) plan with employer matching for contributions - Excellent medical, dental, and vision coverage as well as mental health and well-being support - Open, flexible vacation policy - Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc) - Quarterly budget for books and online courses for self-development - Support to attend professional conferences that are meaningful to your career growth and role's responsibilities - New hire stipend for home office setup - Monthly cell phone & internet stipend - Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid - Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process. Please be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com http://insitro.com, and if in doubt, contact us at info@insitro.com. #LI-Hybrid About insitro insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit www.insitro.com http://www.insitro.com.
Senior Data Scientist, CompBio
THE OPPORTUNITY State-of-the-art technologies that measure multiple cellular aspects of in vitro biology are at the heart of insitro's efforts to accelerate drug development. Computational biology is key to elucidating the relationship between these phenotypes and human disease and translating them into actionable outcomes. We are looking for a computational biologist with expertise across diverse data modalities, including deep experience in either omics or imaging readouts, a strong understanding of cell and disease biology, and fluency with state-of-the-art analysis techniques. Your expertise will help the team navigate the complexities of identifying therapeutic targets from diverse data, elucidating biological mechanisms, and championing a culture of statistical rigor and experimental design to ensure our analyses meet the highest scientific standards. In this role, you will directly impact target prioritization and drug development efforts, advance our understanding of diseases, and aid the development of new treatments. You will be part of a cross-functional team of life scientists, data scientists, bioengineers, software engineers, and machine learning scientists who strive to identify therapeutic targets and develop drugs of high efficacy and low toxicity. Based in South San Francisco, this position reports directly to the Head of Computational Biology and ML-Omics and offers an in-person hybrid schedule of three days per week. You will be joining a vibrant biotech startup with many opportunities for significant impact. You will work closely with a highly talented team, learn a broad range of skills, and help shape insitro's culture, strategic direction, and outcomes. Join us, and help make a difference to patients! RESPONSIBILITIES Multimodal Analysis & Target Discovery - Synthesize Multimodal Insights: Draw insights from multimodal analyses (microscopy, spatial proteomics, bulk/single-cell RNA-seq, human cohort data) to uncover disease mechanisms and generate therapeutic hypotheses - Identify Therapeutic Targets: Analyze diverse data from disease-relevant in vitro models to identify potential therapeutic targets from perturbation screens - Discover Biomarkers: Analyze data from diverse sources to identify and validate potential biomarkers for monitoring disease status and progression Experimental Partnership - Partner on Experimental Design: Work with experimental biologists to design, troubleshoot, and optimize experiments that generate and validate mechanistic and therapeutic hypotheses - Provide Domain Expertise: Bring statistical and computational expertise to guide assay development and the biological interpretation of results Analytical Rigor & Communication - Benchmark and Calibrate: Calibrate analysis tools and workflows, define performance metrics, and conduct benchmarking to select fit-for-purpose solutions - Communicate Findings: Share results with cross-functional stakeholders through reports, visualizations, presentations, and publications ABOUT YOU Experience & Qualifications - Education & Tenure: Ph.D. in computational biology, systems biology, bioengineering, computer science, machine learning, or a related discipline, with 3+ years of working experience post-graduation - Data Modality Depth: Hands-on experience with diverse data modalities, including at least one of the following: single-cell RNA-seq, fluorescence microscopy, spatial proteomics or transcriptomics, or label-free microscopy - Statistical Foundation: Deep understanding of statistical modeling and data analysis, with a demonstrated ability to rigorously interpret complex datasets and generate mechanistic hypotheses - Biological Grounding: An understanding of molecular biology or disease biology (e.g., neurological, cardiovascular, or metabolic disorders) - Programming Skills: Strong programming ability and proficiency with Python scientific packages such as NumPy and pandas - Publication Record: Meaningful contributions to high-quality work published in relevant computational biology, systems biology, life sciences, or biomedical venues Core Competencies - Collaborative Communicator: You communicate effectively and collaborate well with people of diverse backgrounds and job functions - Engineering Discipline: You write well-commented code and documentation and are familiar with coding best practices such as version control and code review COMPENSATION & BENEFITS AT INSITRO Our target starting salary for successful US-based applicants for this role is $183,000 - $194,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies. In addition, insitro also provides our employees: - 401(k) plan with employer matching for contributions - Excellent medical, dental, and vision coverage as well as mental health and well-being support - Open, flexible vacation policy - Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc) - Quarterly budget for books and online courses for self-development - New hire stipend for home office setup - Monthly cell phone & internet stipend - Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid - Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process. #LI-Hybrid Please be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com http://insitro.com, and if in doubt, contact us at info@insitro.com. About insitro insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit www.insitro.com http://www.insitro.com.
Enterprise Account Executive
ABOUT IDEOGRAM Ideogram’s mission is to make world-class design accessible to everyone, multiplying human creativity. We build proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google’s Imagen, and Imagen Video. We care about design, taste, and craft as much as research and engineering – shipping experiences that creatives actually love. We’ve raised nearly $100M, led by Andreessen Horowitz and Index Ventures. Headquartered in Toronto with a growing team in NYC, we're scaling fast, aiming to triple over the next year. We're a flat team with a culture of high ownership, collaboration, and mentorship. Try Ideogram at ideogram.ai http://ideogram.ai, and check out the following links to learn more about our work: Ideogram 4.0 https://ideogram.ai/models/4.0/, Enterprise https://ideogram.ai/enterprise/, and Custom Models https://ideogram.ai/features/custom-models/. THE OPPORTUNITY As an Enterprise Account Executive at Ideogram, you’ll be joining our early, expanding sales team and sit at the intersection of AI, creativity, and enterprise transformation. You’ll partner with some of the world’s most recognizable brands to rethink how design is created and scaled in an AI-native world, helping them unlock a new standard for quality, speed, and brand control. You'll work directly with leadership, product, and engineering to establish Ideogram as the defining product for quality-obsessed brands. You’ll lead complex enterprise sales cycles, partnering with senior stakeholders to navigate technical, legal, and organizational roadblocks while educating executive leadership on the value of custom branded AI models. Beyond closing deals, you’ll shape our commercial strategy, influence product direction, and help build the enterprise sales playbook as we scale. YOUR MISSION - Own the full enterprise motion: Independently manage the entire sales cycle from prospecting and lead generation through close and expansion. Source your own pipeline through strategic outbound, research target accounts, qualify inbound leads, and build a diverse book of enterprise businesses that drive Ideogram's revenue goals. - Identify and capture high-potential opportunities: Proactively identify new business opportunities where Ideogram's custom branded models and workflow integrations can drive competitive advantage across marketing, product, AI, and design teams. Build relationships with key decision-makers across diverse functions and navigate complex organizational structures to uncover strategic entry points. - Serve as a trusted strategic partner to potential and existing customers: Build deep, long-term relationships with new and existing enterprise customers across marketing/creative, product, AI/ML, and executive teams. Partner with them to envision how AI-native design workflows can elevate creative quality, accelerate product development, and maintain brand consistency at scale. - Design sales strategies across segments: Execute sales strategies across diverse use cases such as API integrations and custom branded model training. Navigate complex procurement processes and collaborate with legal, security, and technical teams to structure deals that haven't been done before. - Build scalable sales operations: Help define sales playbooks, pricing strategies, qualification frameworks, and sales processes as we scale. Identify gaps and implement systems that will grow with the team. Translate customer needs and market signals back to product and research teams to inform our roadmap. WHAT WE'RE LOOKING FOR - Enterprise sales excellence: 5+ years of quota-carrying enterprise sales experience in B2B SaaS or technology, with a proven track record closing six- and seven-figure deals and managing complex, multi-stakeholder sales cycles with enterprise companies. - Technical fluency: Experience with generative AI, creative tools, or a technical background that enables you to confidently discuss AI capabilities, integrations, and workflows with both technical and non-technical stakeholders. You can clearly translate complex technology into business value for executive audiences. - Strategic deal execution: Proven ability to navigate complex stakeholder environments across marketing, product, AI/ML, IT, procurement, legal, and the C-suite. Experience structuring and closing highly customized enterprise agreements and moving deals forward through complex buying processes. - Builder mindset: Comfort with ambiguity and fast-evolving environments. You thrive building from the ground up, creating new playbooks, defining processes, and operating with high ownership where perfect structure doesn't exist yet. - Curious problem solver: You're passionate about what customers are building. When someone describes their challenges, whether it's scaling creative operations or maintaining brand consistency, you're thinking about whether our models are the right fit, what blockers may arise, and how their needs will evolve. You balance revenue goals with authentic customer success. - Travel flexibility: Willingness and ability to travel throughout North America (US and Canada) 30-40% of the time to meet customers, attend industry events, and build strategic relationships in person. OUR CULTURE We’re a team of exceptionally talented, curious builders who love solving tough problems and turning bold ideas into reality. We move fast, collaborate deeply, and operate without unnecessary hierarchy, because we believe the best ideas can come from anyone. Everyone at Ideogram rolls up their sleeves to make our products and our customers successful. We thrive on curiosity, creativity, and shared ownership. We believe that small, dedicated teams working together with trust and purpose can move faster, think bigger, and create amazing things. Ideogram is committed to welcoming everyone — regardless of gender identity, orientation, or expression. Our mission is to create belonging and remove barriers so everyone can create boldly. WHAT WE OFFER 💸Competitive compensation and equity designed to recognize the value and impact of your contributions to Ideogram’s success. 🌴 4 weeks of vacation to recharge and explore. 🩺 Comprehensive health, vision, and dental coverage starting on day one. 💰 RRSP/401(k) with employer match up to 4% to invest in your future from the moment you join. 💻 Top-of-the-line tools and tech to fuel your creativity and productivity. 📍 Toronto HQ perks: Steps from Union Station and the PATH, with daily in-office lunches and dinners. 🔍 Autonomy to explore and experiment — whether you’re testing new ideas, running large-scale experiments, or diving into research, you’ll have access to compute/resources you need when there’s a clear business or creative use case. We encourage curiosity and bold thinking. 🌱 A culture of learning and growth, where curiosity is encouraged and mentorship is part of the journey.
Solutions Architect, Inbound AI Deployments
THE OPPORTUNITY This is a Solutions Architect, Inbound AI Deployments role. You're not executing deployments; you're defining how everyone else executes them. You're writing the playbook that our deployment strategists and engineers will follow for the next 50 customer engagements. You're designing the repeatable system that scales us from one-off successes to a replicable, differentiated offering. This role reports directly to the CPO. You'll split your time between health system partnerships (understanding what works in the real world), product engineering collaboration (ensuring what you design is buildable), and internal enablement (teaching your frameworks to the deployment team). WHAT SUCCESS LOOKS LIKE IN YEAR ONE - Inbound AI Methodology Defined: You've synthesized best practices from 5+ health system deployments into a clear, documented methodology for inbound AI in healthcare. This becomes the Hippocratic AI standard—how we approach every inbound deployment from discovery forward. - Repeatable Configuration Framework: You've designed the configuration architecture (decision tree patterns, IVR logic flows, provider directory mapping, escalation rules) that deployment strategists and FDEs will use repeatedly. It's documented, tested, and proven across 3+ customer deployments. - Deployment Playbook: You've codified the end-to-end deployment model: discovery, configuration, testing, go-live, iteration. This becomes the playbook that deployment teams execute on every inbound engagement. - Customer Learnings Synthesized: You've worked hands-on with 5-7 health systems and health plans on their inbound AI deployments. You've labeled decision trees, configured IVR logic, and validated configurations against real patient call patterns. You understand what works, what doesn't, and why. - Product Requirements Translated: You've translated patient access workflows into crisp product requirements and configuration standards. You've submitted 3-5 feature requests to the Front Door product team—each one addressing a scaling constraint you discovered in the field. - Engineering Partnership Established: You've built credibility with the Front Door product and engineering teams. They see you as the voice of inbound deployment reality. Product roadmap priorities reflect your input. - Enablement & Documentation: You've created the frameworks, decision trees, configuration templates, and documentation that deployment strategists and FDEs will use to execute inbound deployments without you. Training is documented. Patterns are replicable. - Competitive Differentiation: You've identified what makes Hippocratic AI's inbound approach different/better than Hyro, Orbita, Nuance, Notable, Fabric. You've articulated this in customer conversations and product strategy. - Scaling Signal: Your methodology and frameworks have been used by 3-4 other deployment team members. They're not coming back to you with "how do I...?" questions; they're following your playbook and executing successfully. YOUR CORE RESPONSIBILITIES - Inbound AI Methodology & Framework Design: Define the core methodology for inbound AI configuration, decision tree architecture, IVR logic, and provider directory setup. This becomes the standard the entire organization follows. Design repeatable patterns for call center workflows, patient access scenarios, and escalation logic that apply across different health systems and health plans. Document your methodology in clear, usable frameworks that deployment teams can execute without continuous guidance from you. Continuously refine the methodology based on learnings from new deployments and customer feedback. - Customer Implementation & Requirements Translation: Partner directly with 5-7 health system and health plan customers on inbound AI deployments. Spend significant time in configuration sessions, validation work, and go-live support. Translate patient access, call center, and inbound workflows into crisp product requirements and configuration standards that scale beyond individual deployments. Identify where your methodology breaks or needs refinement. Feed learnings back into the framework. Validate that configurations perform correctly against real patient call patterns and business metrics. - Product & Engineering Partnership: Work closely with the Front Door product and engineering teams to ensure the methodology you define is technically sound and buildable at scale. Identify product gaps, configuration constraints, and feature requests based on deployment learnings. Prioritize ruthlessly—what unlocks the most scaling? Influence product roadmap priorities based on deployment reality (not just customer requests). Collaborate on product design for inbound features; ensure they're built with deployment scalability in mind. - Deployment Team Enablement: Codify your methodology into frameworks, playbooks, decision tree templates, and training materials that deployment strategists and FDEs will rely on. Train deployment team members on your methodology, frameworks, and best practices. Create documentation that answers "how do I configure X?" so deployment teams can execute independently. Build a knowledge base and community of practice around inbound deployments. - Strategic Vision & Competitive Positioning: Define what makes Hippocratic AI's inbound approach differentiated vs. competitors (Hyro, Orbita, Nuance, Notable, Fabric). Articulate the strategic positioning of our inbound solutions to customers and internally. Identify white space and expansion opportunities in the inbound market (new use cases, new customer types). WHAT YOU BRING MUST-HAVE - BA/BS degree required. - Domain expertise in patient access, call center operations, or inbound workflows. You understand what makes a good call center configuration, what drives call routing decisions, how IVR impacts patient experience, why provider directories matter. - 8+ years in inbound/patient access technology or healthcare operations. You've spent significant time in or around call centers, patient access workflows, IVR systems, or inbound healthcare technology. You understand the pain. - Deep hands-on experience with inbound AI or contact center automation. You've personally configured IVR systems, designed decision trees, or deployed call center AI solutions. You've labeled data, tested configurations, validated performance. You know how to make it work in practice. - Proven track record building repeatable systems. You don't just execute one-off projects. You've built frameworks, playbooks, or methodologies that let other people execute consistently after you. People use your work; they don't reinvent it. - Full-lifecycle ownership mindset. You're comfortable owning the entire deployment lifecycle—from customer discovery through configuration, testing, go-live, and iteration. You don't hand off; you see it through. - Product thinking with operational execution. You think strategically about what should be built and how to scale. You also know how to get into the weeds—configuring systems, testing edge cases, debugging issues. - Communication and persuasion skills. You can explain complex inbound workflows to non-technical customers. You can articulate product requirements to engineers. You can align teams around a methodology. Nice-to-Have - Hands-on experience with inbound digital front door platforms (Hyro, Orbita, Nuance, Syllable, Notable, Fabric). - Background in healthcare operations, health plans, health systems, or patient access. - Experience building configuration tools or internal frameworks that enable others to execute consistently. Familiarity with healthcare data standards (FHIR, HL7) and EHR integration points relevant to inbound workflows. - Prior experience at healthcare AI/SaaS companies or forward-deployed organizations. - Track record of mentoring and enabling other operators to execute frameworks you've built. WHY JOIN HIPPOCRATIC AI Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation. Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative. EQUAL OPPORTUNITY Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com. Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.
Director, Product Marketing
ABOUT THE ROLE Hippocratic AI is seeking a Director, Product Marketing to own positioning, messaging, and go-to-market strategy for enterprise-grade agentic AI. You will translate complex technology into clear business value for healthcare buyers and customers, helping them understand how clinical safety, ambient automation, and workflow orchestration support their goals. You will connect Product, Sales, and Customer Success around compelling value narratives and coordinated GTM launches. This is a hands-on role for an exceptional writer and technically fluent marketer who uses AI to expand output, mine for insights across a number of tools (like Gong, databases, and dashboards) while maintaining rigorous editorial judgment, subject matter validation, and brand standards. WHAT YOU’LL DO POSITIONING AND MESSAGING - Define competitive positioning and core messaging for agentic AI platforms, with clear narratives around clinical safety, automation, and ROI. - Translate multi-agent systems, retrieval-augmented generation (RAG), and deterministic guardrails into value-driven stories for healthcare decision-makers. - Build and maintain buyer and user personas spanning CMOs, CIOs, COOs, clinical teams, and administrative teams. Refresh those personas using live customer calls, CRM insights, and win/loss findings. GO-TO-MARKET STRATEGY AND LAUNCHES - Lead end-to-end launches for new agentic modules, features, and platform updates, aligning Product, Sales, and Customer Success on messaging, readiness, enablement, training, and execution. - Produce white papers, case studies, ROI calculators, clinical validation summaries, and interactive product videos. - Build content workflows that combine AI-assisted drafting with subject matter expert validation, editorial review, and brand governance. SALES ENABLEMENT, CUSTOMER SUCCESS AND MARKET INTELLIGENCE - Equip enterprise sales and technical field teams with pitch decks, competitive intelligence, video demos, and objection-handling resources for complex sales cycles. - Enables customer success teams to help customers understand the value of their current products as well as new releases to help nurture adoption. - Monitor the healthcare AI landscape and market dynamics, including foundation models, point solutions, and established vendors. Use research agents to turn emerging developments into actionable insights within days. - Partner with Legal and Compliance to ensure messaging accurately represents HIPAA requirements, SOC 2 controls, clinical claims, and algorithmic safety standards. - Use feedback from customer conversations and field teams to continually improve positioning, content, and enablement. LOCATION This is a Menlo Park–based role expected to be in office five days a week to support fast collaboration and alignment across cross-functional teams. WHAT YOU’LL BRING REQUIRED - 8+ years of B2B SaaS product marketing experience, including 3+ years marketing AI or clinical platforms to health system, payor, or life sciences buyers. - Fluency in agentic AI architecture, including multi-agent systems, RAG, guardrails, and evaluations, with the ability to explain these concepts independently and accurately. - Hands-on experience using AI to scale marketing output, with concrete examples of the prompts, agents, and quality assurance processes behind your work. - Exceptional writing and editing skills, including the judgment to recognize when human insight and narrative should override model-generated output. - Experience marketing under HIPAA requirements, SOC 2 frameworks, and clinical-claims review processes. - The ability to align cross-functional partners and turn technical capabilities into compelling positioning, launch plans, and sales resources. - Analytically minded: leveraging data to ensure internal teams are effectively leveraging product marketing assets, joining trainings, and accurately portraying the value of Hippocratic AI’s value to customers and the market. - Experience working cross-functionally with Product, Sales, and Customer Success, minimum of 4 years experience. PREFERRED - Post-graduate degree WHAT SUCCESS LOOKS LIKE Healthcare buyers understand what differentiates the platform and why it matters to their organizations. Product launches are coordinated, and sales teams have clear, credible resources for complex buying conversations. Messaging evolves with customer and market evidence. AI enables faster research and greater content output, while human judgment, subject matter expertise, and disciplined review maintain accuracy and quality. WHY JOIN HIPPOCRATIC AI Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation. Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative. EQUAL OPPORTUNITY Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com. Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.
Clinical AI Solutions Specialist
CLINICAL AI SOLUTIONS SPECIALIST ABOUT THE ROLE Hippocratic AI is building safety-first generative intelligence for healthcare. As a Clinical AI Solutions Specialist, you're the clinical expert and patient advocate for our AI agent deployments. You ensure our agents are clinically safe, operationally efficient, and bring measurable value to patients and healthcare organizations. OUTCOMES YOU'LL DELIVER - Every deployment clinically validated and safe: agents provide appropriate responses; safety protocols implemented before go-live - Clinician adoption and confidence: healthcare providers understand and trust AI agents; adoption metrics exceed targets - Patient impact metrics: deployments improve care access, patient satisfaction, or operational efficiency as defined by the customer - Clinical innovation pipeline: identified new use cases and workflows where AI can transform care delivery - Cross-functional alignment: clinical, technical, and business teams aligned on safety, outcomes, and patient-centered design CORE COMPETENCIES - Deep clinical knowledge from nursing or healthcare delivery experience with strong understanding of workflows and patient communication - Prior hands-on experience with LLMs (prompting, text/voice interaction, conversational AI) and understanding of generative AI in healthcare - Excellent ability to explain complex medical and AI concepts to both clinical and non-clinical audiences - Experience managing clinical projects and coordinating across multiple stakeholders (clinicians, patients, technical teams) - Genuine passion for improving healthcare delivery with AI and willingness to challenge clinical care assumptions - Willingness to travel up to 30% of the time based on client and business needs. WHAT YOU BRING: MUST-HAVE: - Active, unrestricted Nursing License (RN) in your practicing state. - Clinical experience in acute, ambulatory, telehealth, or community settings; strong patient communication skills. - Excellent written & verbal communication—ability to explain complex medical concepts clearly to lay audiences and to technical teams. - Prior experience with prompting language models, interacting or working with LLMs via text or voice, conversational AI, or clinical NLP. - Commitment to safety and ethics; familiarity with HIPAA/PHI handling and privacy best practices. - Intellectual curiosity and a commitment to advance health delivery and increase access to all. - Willingness and ability to travel up to 30% of the time for customer deployments and on-site engagements. - BA or BS required NICE‑TO‑HAVE: - Experience in clinical informatics - Background in quality/safety or clinical education. - Experience with clinical guidelines and patient‑education best practices. - Domain expertise in clinical and care management workflows. Join us and help build the future of safe, life-changing AI in healthcare. There’s never been a more exciting moment to make an impact. WHY JOIN HIPPOCRATIC AI Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation. Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative. EQUAL OPPORTUNITY Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com. Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.
Software Engineer, GPU Performance
About HeyGen At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at www.heygen.com . Visit our Mission and Culture doc here . Position Summary HeyGen is building AI applications including Avatar IV, Photo Avatar, Interactive Avatar, and Video Translation. We’re looking for a Software Engineer focused on GPU performance to make the systems behind these experiences faster and more efficient. You will work across model execution and inference infrastructure, using profiling and measurement to improve latency, throughput, and GPU cost. This role is a fit for an engineer who enjoys understanding how software uses the hardware beneath it. Key Responsibilities - Use NVIDIA Nsight Systems, Nsight Compute, and PyTorch Profiler to investigate GPU utilization, kernel execution, memory bandwidth, and CPU–GPU data movement. - Identify bottlenecks across model execution, preprocessing, and inference serving, then measure the impact of each optimization. - Improve performance through batching, scheduling, memory management, and better GPU utilization. - Develop or integrate high-performance GPU kernels when existing implementations limit performance. - Build benchmarks and automated checks that catch performance regressions across representative video workloads. - Collaborate with AI researchers and infrastructure engineers to bring optimizations into production. - Measure the effect of changes on latency, throughput, cost, and output quality. Qualifications - Experience optimizing GPU-based AI workloads or high-performance computing systems. - Proficiency in Python and experience with PyTorch or a similar machine learning framework. - Strong curiosity about GPU hardware, including memory bandwidth, cache behavior, tensor cores, and data movement between CPU and GPU. - Experience using profiling tools to connect hardware behavior to application-level bottlenecks and validate improvements. - Ability to turn performance experiments into reliable production changes and communicate tradeoffs clearly. Preferred Qualifications - Experience with CUDA, Triton, or C++ GPU programming. - Experience optimizing video, image, audio, diffusion, or Transformer models. - Familiarity with multi-GPU inference, GPU interconnects, quantization, or large-scale model serving. - Experience building performance benchmarks or regression testing infrastructure. - Prior experience in a fast-paced technology environment. What HeyGen Offers - Competitive salary and benefits package. - Dynamic and inclusive work environment. - Opportunities for professional growth and advancement. - Collaborative culture that values innovation and creativity. - Access to the latest technologies and tools. HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Join us at HeyGen Help us make AI video faster and more accessible. We’d love to hear from you.
Data Infrastructure Engineer
About HeyGen At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at www.heygen.com . Visit our Mission and Culture doc here . Position Summary: At HeyGen, we are at the forefront of developing applications powered by our cutting-edge AI research. As a Data Infrastructure Engineer, you will lead the development of fundamental data systems and infrastructure. These systems are essential for powering our innovative applications, including Avatar IV , Photo Avatar , Instant Avatar , Interactive Avatar, and Video Translation. Your role will be crucial in enhancing the efficiency and scalability of these systems, which are vital to HeyGen's success. Key Responsibilities: - Design, build, and maintain the data infrastructure and systems needed to support our AI applications. Examples include - Large scale data acquisition - Multi-modal data processing framework and applications - Storage and computation efficiency - AI model evaluation and productionization infrastructure - Collaborate with data scientists and machine learning engineers to understand their computational and data needs and provide efficient solutions. - Stay up-to-date with the latest industry trends in data infrastructure technologies and advocate for best practices and continuous improvement. - Assist in budget planning and management of cloud resources and other infrastructure expenses. Qualifications: - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field - Proven experience in managing infrastructure for large-scale AI or machine learning projects - Excellent problem-solving skills and the ability to work independently or as part of a team. - Proficiency in Python - Experience optimizing computational workflows - Familiarity with AI and machine learning frameworks like TensorFlow or PyTorch. Preferred Qualifications: - Experience with GPU computing - Experience with distributed data processing system - Experience building large scale batch inference system - Prior experience in a startup or fast-paced tech environment. What HeyGen Offers - Competitive salary and benefits package. - Dynamic and inclusive work environment. - Opportunities for professional growth and advancement. - Collaborative culture that values innovation and creativity. - Access to the latest technologies and tools. HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Staff Software Engineer
Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. The role At Helsing, our engineering culture is defined by technical impact, first-principles thinking, and high-agency execution. We are looking for a hands-on Staff Software Engineer to serve as a primary technical anchor, driving architectural decisions and shipping code across our backend systems. Designed for a builder who thrives on complexity and wants to remain close to the metal, you will have the autonomy to own projects from zero to one prototyping through to deploying resilient software on physical hardware. Your impact is measured by your ability to design robust systems, write performance-optimised code, and act as a technical multiplier for our teams. You will architect solutions across highly resilient distributed systems built for network partitions, resource-constrained embedded hardware, secure networking protocols, and high-performance machine learning inference pipelines directly at the tactical edge. The day-to-day - Lead the review of complex code contributions, design proposals, and technical RFCs from colleagues. At Helsing we strongly believe that unblocking others and mentoring is the highest-leverage work you can do. - Architect, propose, and implement major new features, capabilities, algorithms, infrastructure, or full products across our stack. We expect our engineers to look beyond their immediate team, identify systemic opportunities, and champion the solutions. - Act as a key translator between engineering and the broader business. You will regularly interface with product managers, programme leads, and customers to translate deep technical designs and constraints into clear, actionable insights for non-technical stakeholders who depend on our technologies. - Actively mentor engineers, find mentees, and help drive and scale our technical interviewing pipeline. You will be a key driver in fostering, growing, and scaling the engineering organisation. - Share your extensive experience and technical know-how with other Helsingers. We host tech talks, run "let’s learn together" groups, and host topical office hours (e.g., on Rust) to help the entire engineering team get better with time. - Maintain and evolve our existing software stack, partnering with internal and external stakeholders to diagnose complex system issues, optimise operational reliability and performance, and systematically address technical debt. Our stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections. - Design and develop robust test architectures and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and building highly reliable, performance-tested systems is key to achieving that. - Present and celebrate your work at our weekly demo sessions. We host demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing. You should apply if you - Have a proven track record of writing highly legible, maintainable, and performance-optimised systems code. - Are a systems-level thinker capable of designing for the long term. You can ensure that a complex collection of independent, heterogeneous systems (including those outside your direct control) successfully integrate and function reliably end-to-end. - Communicate well in English, both verbally and in writing, with the ability to articulate complex architectural decisions to both technical and non-technical stakeholders. - Thrive in a collaborative, low-ego environment, with extensive experience running pair programming and peer code reviews. - Are highly comfortable working asynchronously (writing robust PRs, leading design RFCs, and having discussions by email). - Have seasoned, senior-to-staff level backend development experience, with expert-level mastery in a systems language like Rust, Java, Go, or C++. - Are a natural multiplier, striving to constantly improve yourself, your peers, and the engineering culture around you. - Feel like ethical considerations are an inherent part of software engineering. Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Nice to have - Production-grade Rust and Python specifically. - Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS). - Metrics and observability tooling (e.g., Prometheus, Grafana, ELK). - SQL and high-throughput streaming database systems. - Low-level routing protocols (e.g., IGP, BGP). - Cryptographic protocols (e.g., Signal, WireGuard). - Hardware interfaces (e.g., Arduino). - Robotics (e.g., control systems). - Production ML systems and model deployment. Join Helsing and work with world-leading experts in their fields - Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. - The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. - Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. - In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts. - We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. What we offer - A focus on outcomes, not time-tracking - Competitive compensation and VSOP options - Relocation support - Social and education allowances - Regular company events and all-hands to bring together employees as one team across Europe - A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation. Helsing's Candidate Privacy and Confidentiality Regime can be found here .
Software Engineer, Rust
Who we are Helsing develops artificial intelligence-enabled capabilities to protect and defend democracies. We build Altra, an AI-powered drone software platform, and HX-2, our autonomous drone. We are growing our US operations, cultivating an ambitious and committed team of mission-driven professionals to apply their skills to solve challenging problems. The role You will work on Altra, Helsing's drone software platform, primarily written in Rust. You will design and build systems-level software that powers autonomous capabilities in challenging operational environments. You don't need to be a drone expert — but you should be a strong systems programmer who thrives in low-latency, high-reliability environments and is excited to apply those skills to a mission-critical product. The day-to-day - Designing, building, and maintaining Rust services across the Altra platform - Collaborating with ML engineers to integrate AI/ML pipelines into the broader system - Working across the stack, from networking and protocol implementation to application-level services - Contributing to increasingly advanced autonomy features - Developing and testing software using simulation environments - Writing software that must perform reliably on resource-constrained platforms under real-world constraints You should apply if you - Have 5+ years of experience in systems-level software engineering - Have a Bachelor's degree in Computer Science, Engineering, or a related field - Are proficient in Rust, or have strong experience in C++ or another systems-level compiled language with a willingness to work in Rust daily - Have experience building distributed systems, particularly in unreliable or constrained network environments - Have worked with real-time or low-latency systems where performance and reliability are critical - Have experience with at least one or two areas relevant to our stack: video streaming, pub/sub messaging, sensor data processing, embedded systems, protocol design, or robotics - Have designed or built systems that interface with AI/ML pipelines — streaming data to models, handling inference outputs, managing pipeline orchestration - Are familiar with Python, particularly for interfacing with ML/AI components - U.S. citizenship required Nice to have - Direct experience with Rust in production systems - Background in robotics, autonomous vehicles, or drone systems - Experience with sensor fusion or multi-sensor data processing - Familiarity with swarming, multi-agent systems, or decentralized coordination algorithms - Experience with constrained or embedded platforms - Familiarity with Nix or NixOS for reproducible builds and development environments - Experience with SITL/HITL (Software/Hardware-In-The-Loop) simulation and testing frameworks for autonomous systems - Experience with RF communications, telemetry, or datalink systems - Background in defense or national security Join Helsing and work with world-leading experts in their fields - Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns - The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world - Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defense industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward - In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts - We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practice responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer - A focus on outcomes, not time-tracking - A generous compensation and benefits package (in addition to base salary) that includes, but may not be limited to, insurance coverage (medical and travel), flexible paid time off, paid holidays, and remote and/or hybrid work available depending on position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time. Helsing is an Equal Opportunity Employer. We will consider all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetics, or any other characteristic protected by applicable federal, state, or local law. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation. Helsing's Candidate Privacy and Confidentiality Regime can be found here .
Multimodal Sensing and Fusion Engineer
Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. The role Helsing builds software and AI that makes existing defence hardware up to ten times more capable. The sensing stack is where that capability begins. Without precise, synchronised, calibrated sensor data, the AI has nothing to work with. As Multimodal Sensing and Fusion Engineer, you will own that stack end to end. You will architect the multimodal perception front-end that combines electro-optical and long-wave infrared cameras, radar, LiDAR, and inertial sensing into a single, coherent input to Helsing's AI. You will translate mission requirements into concrete specifications for sensor selection, placement, synchronisation, and calibration, and you will define the safety concepts that ensure the system degrades gracefully and fails safe in the field. This is not a prototyping role. The systems you design go into operational environments. The quality of the data you deliver directly affects the decisions Helsing's AI supports in the field. You will sit at the intersection of hardware engineers, electrical engineers, and AI and computer-vision researchers, working out of Munich, Berlin or London. The day-to-day - Define the multimodal sensing architecture: select and integrate EO and LWIR cameras, radar, LiDAR, and IMUs, aligning requirements with the AI team to optimise algorithm performance and balance trade-offs across size, weight, power, cost, and robustness. - Own sensor synchronisation: design and implement time synchronisation across heterogeneous sensors using PTP/gPTP, PPS, and hardware triggers such as Hsync and Vsync, so all modalities share a common, precise time base. - Own sensor calibration: develop intrinsic, extrinsic, spatial, and temporal calibration procedures, including online and continuous recalibration, across cameras, radar, and IMU. - Define safety concepts: derive failure modes, fault detection, isolation, and recovery concepts for the sensing subsystem, drawing on both defence mission-safety thinking and automotive functional-safety practice (ISO 26262, SOTIF). - Drive system design and architecture: analyse the interplay of hardware, software, and algorithm architectures, and define the interfaces and data pipelines from sensor to AI. - Bring hardware to life: spend hands-on time in the lab bringing up prototypes, testing performance under varying conditions, and supporting integration into the software stack. - Tune data quality: analyse application-specific sensing performance and adjust designs and low-level algorithms to maximise the value sensor data provides to downstream AI applications. You should apply if you - A Ph.D. or M.Sc. in Electrical Engineering, Computer Engineering, Applied Physics, Robotics, or a related field, or equivalent professional experience. - A professional track record building multimodal sensing or sensor-fusion systems combining at least two of: cameras (EO and/or LWIR), radar, LiDAR, and IMU. - Demonstrated understanding of system-level synchronisation, including PTP/gPTP, PPS, and hardware triggers such as Hsync and Vsync. - Mastery of sensor calibration, intrinsic and extrinsic, spatial and temporal, including strategies for maintaining calibration across a multi-sensor rig over its operational lifetime. - The ability to derive safety concepts for a sensing or perception subsystem, from a defence or mission-critical background, an automotive functional-safety background (ISO 26262, SOTIF), or both. - Strong systems design instincts, comfortable reasoning about the interplay of hardware, software, and algorithms. - Proficiency in C/C++ or Rust for low-level firmware development and hardware-software interface debugging, plus Python. Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Nice to Have - Depth in one or more of the following sensor modalities: thermal imaging (LWIR design, calibration, and programming), FMCW radar signal processing (detection, clustering, and tracking), or LiDAR and point-cloud processing including cross-calibration with cameras and radar. - IMU and inertial navigation expertise, including GNSS/INS integration, bias and error modelling, and sensor alignment. - Sensor-fusion estimation experience: Kalman/EKF/UKF, particle filters, factor graphs, multi-object tracking, and data association. - Low-level hardware experience: FPGA development using Verilog, SystemVerilog, or VHDL, Linux kernel driver development, or experience with high-bandwidth sensor interfaces such as MIPI CSI-2 or LVDS. - A background in automotive, robotics, or aerospace sensor fusion, covering ADAS, AUTOSAR, ROS, or ISO 26262 and SOTIF, and familiarity with how sensor data feeds downstream computer-vision or AI pipelines. Join Helsing and work with world-leading experts in their fields - Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns - The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world - Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward - In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts - We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer - Competitive salary and VSOP options - Relocation support : up to €2,500 and 4 weeks temporary accommodation - Learning : €500/£450 yearly allowance - Health & wellness : gym membership and mental health support (Nilo.health) - Social : regular company events and monthly social allowances - Enhanced parental leave : 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers - Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work - A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation. Helsing's Candidate Privacy and Confidentiality Regime can be found here .
Front Office Coordinator / Guest Service Agent
Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. The role You will be the first person our visitors meet, and the person who keeps our office running from one day to the next. Working within the Workplace team, you will host guests, customers and candidates, manage visitor access and security passes, and make sure meetings begin on time and in the right room. You will look after post, deliveries and the company vehicle fleet, and support the wider team with the administrative work that keeps a busy site calm. It is a role with real ownership: the quality of a visitor's first hour at Helsing, and the smoothness of everyone else's working day, rests with you. The day-to-day - Welcome and host visitors, customers and candidates, handling check-in, registration and visitor badges so every guest is signed in, briefed and looked after within minutes of arrival - Coordinate meeting rooms, calendars and hospitality for interviews, customer visits and leadership sessions, resolving clashes before they reach the diary - Run the reception area as the front door of the site, keeping access procedures, sign-in records and security passes accurate and audit-ready - Manage incoming and outgoing post, couriers and deliveries, routing confidential and time-sensitive items to the right team the same day - Administer the company vehicle fleet, from bookings and servicing to documentation, so cars are available, compliant and roadworthy when colleagues need them You should apply if you - Have welcomed and looked after guests in a reception, hospitality or front-of-house setting - Communicate clearly and warmly in fluent German and English, in person, on the phone and in writing - Organise competing priorities calmly, from room bookings to deliveries, without losing track of the detail - Handle confidential information and access procedures with discretion and care - Take responsibility for your work and pick up new systems and processes quickly Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Nice to Have - Completed vocational training in a commercial field or hotel management, or equivalent practical grounding in hospitality - Familiarity with visitor management, access control or fleet administration tools in a security-conscious environment Join Helsing and work with world-leading experts in their fields - Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns - The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world - Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward - In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts - We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer - Competitive salary and stock options (ESOP) - Relocation support : up to €2,500 and 4 weeks temporary accommodation - Learning : €500/£450 yearly allowance - Health & wellness : gym membership and mental health support (Nilo.health) - Social : regularly company events and monthly social allowances - Enhanced parental leave : 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers. - Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work These are the core benefits across all locations, there may be additional benefits in certain locations. Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation. Helsing's Candidate Privacy and Confidentiality Regime can be found here .
Account Executive
THE ROLE As an Account Executive at Hedra, you'll drive growth by building relationships with the developers, technical founders, and enterprise teams building on our API and inference platform. You'll own the full sales cycle from prospecting to close, running a consultative process with technical buyers who care about latency, cost per deployment, model quality, and integration path. You'll work closely with our product and engineering teams to translate what customers need into where the platform goes next. Use cases span developer tooling and infrastructure, enterprise deployments, and media and creative workloads, so you'll be comfortable moving between a platform team integrating our API and a creative team pushing the limits of generation. Responsibilities - Drive the full enterprise sales cycle for both inbound and outbound opportunities, from prospecting through close. - Land and expand relationships with Fortune 100 brands, driving brand penetration across marquee enterprise accounts and turning early pilots into production deployments. - Sell a technical product to technical buyers, developers, ML and platform teams, and the leaders who sponsor them, and hold credible conversations about APIs, integration, latency, and deployment economics. - Develop account strategies and identify high-value use cases to grow customers beyond their initial deployment. - Track and measure the key metrics that drive engagement, expansion, and value creation. - Collaborate closely with product and engineering to win new business and surface unmet needs across existing and new customers. Qualifications - Minimum of 5 years securing new business in AI, developer tools, infrastructure, APIs, or a related technical field. - Proven track record of hitting sales goals and closing complex, multi-stakeholder deals, ideally including Fortune 100 or large-enterprise accounts. - Comfortable selling to developers and builders. You don't need to be an engineer, but you understand how technical teams evaluate and adopt an API or platform, and can earn their trust. - Excellent communication, presentation, and relationship-building skills. - Prior experience in startup environments spanning all aspects of the sales cycle. - Demonstrated curiosity about generative AI, world models, and the inference and infrastructure that make them usable. - BS or BA in business, marketing, a technical field, or equivalent experience. Who You Are - Self-motivated and independent: able to set ambitious (and yet accurate!) timelines and deliver on them. - Low ego, high patience, proactive communication. Strong opinions, weakly held. - Understand operational costs and overhead, short and long term, and how they show up in a customer's deployment economics. - And most importantly, treat Hedra as your own and help shape the vision with us. ABOUT HEDRA Hedra is a research and infrastructure lab building physical world models and the inference to deploy them at scale. Backed by top investors at Index, a16z, and Abstract Ventures, we've built the foundations for full-stack visual intelligence in the next era of AI. Today our API serves both first- and third-party models to production customers, and our agent works within a single workflow to create content from scratch, manipulate existing assets, critique its own outputs, and repurpose them on demand. We're scaling from frontier research into the infrastructure the rest of the industry will build on. We started by commercializing action-conditioned, real-time interactive video generation. We're now extending that foundation to the broader class of physical world models that perception, robotics, and media generation all run on. At Hedra, we're a team of hard-working, passionate individuals seeking to fundamentally change how visual intelligence gets built and deployed, and to build a generational company together. You should have startup experience and be a self-starter driven to build impactful products that change the status quo. The team is fully in-person in SF with a shared love of solving hard problems. About the Founder Michael Lingelbach (CEO) — Before taking a leave of absence to start Hedra, Michael was a PhD researcher in Stanford's Vision & Learning Lab, jointly advised by Fei-Fei Li and Jiajun Wu. He is co-first author on BEHAVIOR, a landmark embodied-AI benchmark, and has published at top conferences including CoRL, ICRA, and ICML (with a CoRL 2022 Best Paper nomination), with prior experience on NVIDIA robotics and simulation. He's a passionate cinephile, former thespian, and huge fan of Denis Villeneuve. Benefits - Competitive compensation and equity - Healthcare (Silver PPO Medical, Vision, Dental) - 401K - Lunch and snacks at the office We encourage you to apply even if you don't fully meet all the listed requirements; we value potential and diverse perspectives, and your unique skills could be a great asset to our team.
Forward Deployed Investor (AI Strategist)
About Hebbia The AI platform for investors and bankers that generates alpha and drives upside. Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock https://www.blackrock.com/us/individual/about-us/about-blackrock?cid=ppc:blk_us:corpaffairs_us_br_reputationmediamanagement_na_exact_ol:google:brand_nonprod:ol&gclsrc=aw.ds&gad_source=1&gad_campaignid=21584717446&gbraid=0AAAAACc6WDFbRb5bgB6zxVFLE_7yIy25I&gclid=CjwKCAiA9aPKBhBhEiwAyz82J2uDlcIPVsy0fhSZMS_rp_OsGerYzYFPFfLo4TlN8K4eCHWzPfvysRoC7oQQAvD_BwE, KKR https://www.kkr.com/, Carlyle https://www.carlyle.com/, Centerview https://www.centerviewpartners.com/, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally. We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets. Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership. About the AI Strategy Team Our AI Strategists are deep domain experts and problem-solvers who bridge product, commercial strategy, and customer impact. They understand deeply the manual drain of our users’ workflows and the myriad ways Hebbia provides value, and are focused on embedding and expanding Hebbia use cases within customer environments to maximize ROI and transform how work gets done. As we continue to scale in hypergrowth, our AI Strategists sit at the intersection of GTM, product, and post-sales - helping shape commercial strategy and expanding our footprint across the global financial industry landscape. The team owns deployment and early adoption, leads strategic growth initiatives post-sale, and partners cross-functionally to inform product roadmap, sales strategy, and executive account management. About the Role This is not a typical post-sales role: you’ll drive the strategic deployment and measurable value creation of Hebbia’s platform across top global financial institutions, shaping how AI transforms the enterprise. Our AI Strategists bring curiosity, critical thinking, commercial edge, and executive polish - they move seamlessly between strategic conversations and hands-on execution in a fast-moving environment. If you thrive on solving complex problems, building meaningful partnerships, and helping define how AI reshapes finance, we’d love to meet you. This role is based out of our New York City office (5 days per week). Responsibilities - Apply cutting-edge AI: Develop expertise with leading LLMs (Opus 4.6, GPT-5.2, Gemini 3, etc.), become a SME in Hebbia’s product and features, and apply to complex professional settings and workflows - Build domain expertise: Develop an intimate understanding of the complex banking, financial and legal workflows of our users (e.g., credit agreements, lease documents, etc.) - Become a core advisor: Deeply understand our customer stakeholders, drive value and growth as a trusted AI advisor - Drive value-backed growth: Identify and capture value with customers, serving as a key driver of our land-and-expand commercial strategy - Optimize processes for scale: Define and constantly enhance internal processes and workflows to shape the post-sales team and improve our customer experience - Own in ambiguity: Operate with autonomy and clarity in fast-moving, unstructured environments - quickly distill complex problems, learn on the fly, and drive toward actionable solutions across customer and product needs Who You Are - Bachelor’s degree, preferably in Finance, Economics, Computer Engineering, or Pre-Law - 1-5 years of client-facing experience in investment banking, institutional investments (private credit, private equity, hedge funds, asset management, investment research), professional services (accounting, consulting, insurance, corporate law), or Fortune 500 corporate finance roles with significant client-facing and leadership responsibilities.; relevant internship experience can be considered for recent grads - Strong ownership mindset with a demonstrated track record of outperformance, value creation, and expanded responsibilities - Experience and comfort with leading LLM models and tools; we want to hear about what you’ve built/tested/researched Bonus: - 5-10 years of client-facing experience with an emphasis on relationship-building - Strong commercial acumen and experience driving revenue expansion, particularly deploying AI/SaaS into enterprise organizations - Technical startup and/or founder experience, building systems and processes for scale - LLM technical knowledge and practical experience implementing into professional workflows Compensation The combined base + bonus compensation range (OTE) for this role is $90,000 - $160,000 + competitive equity. The OTE range for those who meet Bonus qualifications is $160,000 - $225,000. These ranges are inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. Life @ Hebbia PTO: Unlimited Insurance: Medical + Dental + Vision + 401K + Wellness Benefits Eats: Catered lunch daily + doordash dinner credit Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent Fertility benefits: $15k lifetime benefit New hire equity grant: competitive equity package with unmatched upside potential #LI-Onsite
Forward Deployed Banker (AI Strategist)
About Hebbia The AI platform for investors and bankers that generates alpha and drives upside. Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock https://www.blackrock.com/us/individual/about-us/about-blackrock?cid=ppc:blk_us:corpaffairs_us_br_reputationmediamanagement_na_exact_ol:google:brand_nonprod:ol&gclsrc=aw.ds&gad_source=1&gad_campaignid=21584717446&gbraid=0AAAAACc6WDFbRb5bgB6zxVFLE_7yIy25I&gclid=CjwKCAiA9aPKBhBhEiwAyz82J2uDlcIPVsy0fhSZMS_rp_OsGerYzYFPFfLo4TlN8K4eCHWzPfvysRoC7oQQAvD_BwE, KKR https://www.kkr.com/, Carlyle https://www.carlyle.com/, Centerview https://www.centerviewpartners.com/, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally. We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets. Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership. About the AI Strategy Team Our AI Strategists are deep domain experts and problem-solvers who bridge product, commercial strategy, and customer impact. They understand deeply the manual drain of our users’ workflows and the myriad ways Hebbia provides value, and are focused on embedding and expanding Hebbia use cases within customer environments to maximize ROI and transform how work gets done. As we continue to scale in hypergrowth, our AI Strategists sit at the intersection of GTM, product, and post-sales - helping shape commercial strategy and expanding our footprint across the global financial industry landscape. The team owns deployment and early adoption, leads strategic growth initiatives post-sale, and partners cross-functionally to inform product roadmap, sales strategy, and executive account management. About the Role This is not a typical post-sales role: you’ll drive the strategic deployment and measurable value creation of Hebbia’s platform across top global financial institutions, shaping how AI transforms the enterprise. Our AI Strategists bring curiosity, critical thinking, commercial edge, and executive polish - they move seamlessly between strategic conversations and hands-on execution in a fast-moving environment. If you thrive on solving complex problems, building meaningful partnerships, and helping define how AI reshapes finance, we’d love to meet you. This role is based out of our New York City office (5 days per week). Responsibilities - Apply cutting-edge AI: Develop expertise with leading LLMs (Opus 4.6, GPT-5.2, Gemini 3, etc.), become a SME in Hebbia’s product and features, and apply to complex professional settings and workflows - Build domain expertise: Develop an intimate understanding of the complex banking, financial and legal workflows of our users (e.g., credit agreements, lease documents, etc.) - Become a core advisor: Deeply understand our customer stakeholders, drive value and growth as a trusted AI advisor - Drive value-backed growth: Identify and capture value with customers, serving as a key driver of our land-and-expand commercial strategy - Optimize processes for scale: Define and constantly enhance internal processes and workflows to shape the post-sales team and improve our customer experience - Own in ambiguity: Operate with autonomy and clarity in fast-moving, unstructured environments - quickly distill complex problems, learn on the fly, and drive toward actionable solutions across customer and product needs Who You Are - Bachelor’s degree, preferably in Finance, Economics, Computer Engineering, or Pre-Law - 1-5 years of client-facing experience in investment banking, institutional investments (private credit, private equity, hedge funds, asset management, investment research), professional services (accounting, consulting, insurance, corporate law), or Fortune 500 corporate finance roles with significant client-facing and leadership responsibilities.; relevant internship experience can be considered for recent grads - Strong ownership mindset with a demonstrated track record of outperformance, value creation, and expanded responsibilities - Experience and comfort with leading LLM models and tools; we want to hear about what you’ve built/tested/researched Bonus: - 5-10 years of client-facing experience with an emphasis on relationship-building - Strong commercial acumen and experience driving revenue expansion, particularly deploying AI/SaaS into enterprise organizations - Technical startup and/or founder experience, building systems and processes for scale - LLM technical knowledge and practical experience implementing into professional workflows Compensation The combined base + bonus compensation range (OTE) for this role is $90,000 - $160,000 + competitive equity. The OTE range for those who meet Bonus qualifications is $160,000 - $225,000. These ranges are inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. Life @ Hebbia PTO: Unlimited Insurance: Medical + Dental + Vision + 401K + Wellness Benefits Eats: Catered lunch daily + doordash dinner credit Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent Fertility benefits: $15k lifetime benefit New hire equity grant: competitive equity package with unmatched upside potential #LI-Onsite
Backend Engineer, Agents
ABOUT HEBBIA The AI platform for investors and bankers that generates alpha and drives upside. Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock https://www.blackrock.com/us/individual/about-us/about-blackrock?cid=ppc:blk_us:corpaffairs_us_br_reputationmediamanagement_na_exact_ol:google:brand_nonprod:ol&gclsrc=aw.ds&gad_source=1&gad_campaignid=21584717446&gbraid=0AAAAACc6WDFbRb5bgB6zxVFLE_7yIy25I&gclid=CjwKCAiA9aPKBhBhEiwAyz82J2uDlcIPVsy0fhSZMS_rp_OsGerYzYFPFfLo4TlN8K4eCHWzPfvysRoC7oQQAvD_BwE, KKR https://www.kkr.com/, Carlyle https://www.carlyle.com/, Centerview https://www.centerviewpartners.com/, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally. We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets. Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership. THE TEAM Hebbia enables leading finance and legal firms with advanced reasoning, copiloting and retrieval capabilities - unlocking meaningful insights for meaningful use cases. The Agents team builds everything from core document understanding capabilities to co-piloting experiences for matrix and deep, multi-source research. We’ve built our own agentic frameworks powered by distributed systems built for scale. We don’t build for one-off success. We build steerable, reliable and explainable agentic systems. And we build these systems for the scale of data our customers bring to the table. Our goal is to unlock the unknowable unknown for customers all over the world. We want to build a product that becomes indisposable to our customers and as delightful as your favorite consumer product. We move fast and build first of their kind systems. WHAT WE’VE BUILT: 1. A custom multi-agent framework https://www.hebbia.com/blog/divide-and-conquer-hebbias-multi-agent-redesign powering everything from deep research capabilities to copiloting interfaces paired with distributed systems infrastructure for long running agentic tasks. 2. The world’s most powerful and scalable LLM inference engine - a distributed, asynchronous DAG orchestrator capable of incorporating live graph mutations, cooperating in tandem with our LLM throughput management capabilities. https://www.hebbia.com/blog/maximizer-hebbias-distributed-system-for-high-scale-llm-request-scheduling 3. Elastically scaling data representation and metadata generation → powering the most effective private data retrieval systems. 4. Industry leading agents https://www.hebbia.com/blog/goodbye-rag-how-hebbia-solved-information-retrieval-for-llmssolving problems from buy side company diligence to multi billion dollar M&A. THE ROLE A backend engineer at Hebbia blends expertise in systems, application layer software, and data modeling to build highly efficient software solutions. You will be responsible for leveraging the latest software and agentic solutions and integrating product experience with powerful distributed systems. You’ll help protect Hebbia’s technical edge via elegant software design, efficient data communication, and sophisticated integrations. We value engineers who move fast, hold themselves accountable to quality, and are detail-oriented. RESPONSIBILITIES 1. Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs. 2. Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume. 3. Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents. 4. Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth. WHO YOU ARE - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred. - 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on backend software engineering. - Proficiency in building backend and API systems using technologies such as Python, Java, or Go. - Extensive experience with cloud platforms (e.g., AWS) - Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis - Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders. - Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment. - Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies. - Embraces rapid prototyping with an emphasis on user feedback - Autonomous and excited about taking ownership over major initiatives - Bonuses: - Experience building agentic systems or LLM enabled products. - Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc). COMPENSATION The salary range for this role is $160,000 to $350,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. LIFE @ HEBBIA PTO: Unlimited Insurance: Medical + Dental + Vision + 401K Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent Fertility benefits: $15k lifetime benefit New hire equity grant: competitive equity package with unmatched upside potential #LI-Onsite
AI Strategist, Corporate Law
About Hebbia The AI platform for investors and bankers that generates alpha and drives upside. Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock https://www.blackrock.com/us/individual/about-us/about-blackrock?cid=ppc:blk_us:corpaffairs_us_br_reputationmediamanagement_na_exact_ol:google:brand_nonprod:ol&gclsrc=aw.ds&gad_source=1&gad_campaignid=21584717446&gbraid=0AAAAACc6WDFbRb5bgB6zxVFLE_7yIy25I&gclid=CjwKCAiA9aPKBhBhEiwAyz82J2uDlcIPVsy0fhSZMS_rp_OsGerYzYFPFfLo4TlN8K4eCHWzPfvysRoC7oQQAvD_BwE, KKR https://www.kkr.com/, Carlyle https://www.carlyle.com/, Centerview https://www.centerviewpartners.com/, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally. We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets. Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership. About the AI Strategy Team Our AI Strategists are deep domain experts and problem-solvers who bridge product, commercial strategy, and customer impact. They understand deeply the manual drain of our users’ workflows and the myriad ways Hebbia provides value, and are focused on embedding and expanding Hebbia use cases within customer environments to maximize ROI and transform how work gets done. As we continue to scale in hypergrowth, our AI Strategists sit at the intersection of GTM, product, and post-sales - helping shape commercial strategy and expanding our footprint across the global financial industry landscape. The team owns deployment and early adoption, leads strategic growth initiatives post-sale, and partners cross-functionally to inform product roadmap, sales strategy, and executive account management. About the Role This is not a typical post-sales role: you’ll drive the strategic deployment and measurable value creation of Hebbia’s platform across top global financial institutions, shaping how AI transforms the enterprise. Our AI Strategists bring curiosity, critical thinking, commercial edge, and executive polish - they move seamlessly between strategic conversations and hands-on execution in a fast-moving environment. If you thrive on solving complex problems, building meaningful partnerships, and helping define how AI reshapes finance, we’d love to meet you. This role is based out of our SoHo office (5 days per week). Responsibilities - Apply cutting-edge AI: Develop expertise with leading LLMs (Opus 4.6, GPT-5.2, Gemini 3, etc.), become a SME in Hebbia’s product and features, and apply to complex professional settings and workflows - Build domain expertise: Develop an intimate understanding of the complex banking, financial and legal workflows of our users (e.g., credit agreements, lease documents, etc.) - Become a core advisor: Deeply understand our customer stakeholders, drive value and growth as a trusted AI advisor - Drive value-backed growth: Identify and capture value with customers, serving as a key driver of our land-and-expand commercial strategy - Optimize processes for scale: Define and constantly enhance internal processes and workflows to shape the post-sales team and improve our customer experience - Own in ambiguity: Operate with autonomy and clarity in fast-moving, unstructured environments - quickly distill complex problems, learn on the fly, and drive toward actionable solutions across customer and product needs Who You Are - A law degree (LLB, JD, or equivalent) is required; professional legal qualification and practising status are not required, as the successful candidate will not act as a practising lawyer in this role - At least 5–7 years of commercial legal experience required, with a strong preference for candidates trained in private equity, M&A, leveraged finance, debt capital markets (DCM), investment funds, or comparable transactional practises at a leading law firm - Strong ownership mindset with a demonstrated track record of outperformance, value creation, and expanded responsibilities - Experience and comfort with leading LLM models and tools; we want to hear about what you’ve built/tested/researched Bonus: - 8+ years of client-facing experience with an emphasis on relationship-building - Strong commercial acumen and experience driving revenue expansion, particularly deploying AI/SaaS into enterprise organizations - Technical startup and/or founder experience, building systems and processes for scale - LLM technical knowledge and practical experience implementing into professional workflows Compensation The combined base + bonus compensation range (OTE) for this role is $160,000 - $225,000, with 80:20 split between base and performance bonus. This role is also eligible for a competitive equity package with unmatched upside potential. This range is inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. Life @ Hebbia PTO: Unlimited Insurance: Medical + Dental + Vision + 401K + Wellness Benefits Eats: Catered lunch daily + doordash dinner credit Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent Fertility benefits: $15k lifetime benefit New hire equity grant: competitive equity package with unmatched upside potential #LI-Onsite
AI Strategist
About Hebbia The AI platform for investors and bankers that generates alpha and drives upside. Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock https://www.blackrock.com/us/individual/about-us/about-blackrock?cid=ppc:blk_us:corpaffairs_us_br_reputationmediamanagement_na_exact_ol:google:brand_nonprod:ol&gclsrc=aw.ds&gad_source=1&gad_campaignid=21584717446&gbraid=0AAAAACc6WDFbRb5bgB6zxVFLE_7yIy25I&gclid=CjwKCAiA9aPKBhBhEiwAyz82J2uDlcIPVsy0fhSZMS_rp_OsGerYzYFPFfLo4TlN8K4eCHWzPfvysRoC7oQQAvD_BwE, KKR https://www.kkr.com/, Carlyle https://www.carlyle.com/, Centerview https://www.centerviewpartners.com/, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally. We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets. Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership. About the AI Strategy Team Our AI Strategists are deep domain experts and problem-solvers who bridge product, commercial strategy, and customer impact. They understand deeply the manual drain of our users’ workflows and the myriad ways Hebbia provides value, and are focused on embedding and expanding Hebbia use cases within customer environments to maximize ROI and transform how work gets done. As we continue to scale in hypergrowth, our AI Strategists sit at the intersection of GTM, product, and post-sales - helping shape commercial strategy and expanding our footprint across the global financial industry landscape. The team owns deployment and early adoption, leads strategic growth initiatives post-sale, and partners cross-functionally to inform product roadmap, sales strategy, and executive account management. About the Role This is not a typical post-sales role: you’ll drive the strategic deployment and measurable value creation of Hebbia’s platform across top global financial institutions, shaping how AI transforms the enterprise. Our AI Strategists bring curiosity, critical thinking, commercial edge, and executive polish - they move seamlessly between strategic conversations and hands-on execution in a fast-moving environment. If you thrive on solving complex problems, building meaningful partnerships, and helping define how AI reshapes finance, we’d love to meet you. This role is based out of our New York City office (5 days per week). Responsibilities - Apply cutting-edge AI: Develop expertise with leading LLMs (Opus 4.6, GPT-5.2, Gemini 3, etc.), become a SME in Hebbia’s product and features, and apply to complex professional settings and workflows - Build domain expertise: Develop an intimate understanding of the complex banking, financial and legal workflows of our users (e.g., credit agreements, lease documents, etc.) - Become a core advisor: Deeply understand our customer stakeholders, drive value and growth as a trusted AI advisor - Drive value-backed growth: Identify and capture value with customers, serving as a key driver of our land-and-expand commercial strategy - Optimize processes for scale: Define and constantly enhance internal processes and workflows to shape the post-sales team and improve our customer experience - Own in ambiguity: Operate with autonomy and clarity in fast-moving, unstructured environments - quickly distill complex problems, learn on the fly, and drive toward actionable solutions across customer and product needs Who You Are - Bachelor’s degree, preferably in Finance, Economics, Computer Engineering, or Pre-Law - 1-5 years of client-facing experience in investment banking, institutional investments (private credit, private equity, hedge funds, asset management, investment research), professional services (accounting, consulting, insurance, corporate law), or Fortune 500 corporate finance roles with significant client-facing and leadership responsibilities.; relevant internship experience can be considered for recent grads - Strong ownership mindset with a demonstrated track record of outperformance, value creation, and expanded responsibilities - Experience and comfort with leading LLM models and tools; we want to hear about what you’ve built/tested/researched Bonus: - 5-10 years of client-facing experience with an emphasis on relationship-building - Strong commercial acumen and experience driving revenue expansion, particularly deploying AI/SaaS into enterprise organizations - Technical startup and/or founder experience, building systems and processes for scale - LLM technical knowledge and practical experience implementing into professional workflows Compensation The combined base + bonus compensation range (OTE) for this role is $100,000 - $175,000 + competitive equity. The OTE range for those who meet Bonus qualifications is $160,000 - $225,000. These ranges are inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. Life @ Hebbia PTO: Unlimited Insurance: Medical + Dental + Vision + 401K + Wellness Benefits Eats: Catered lunch daily + doordash dinner credit Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent Fertility benefits: $15k lifetime benefit New hire equity grant: competitive equity package with unmatched upside potential #LI-Onsite
Staff Software Engineer, Agents
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 Software Engineer, Agents, you'll build the systems that make our AI agents indispensable to legal professionals. You will design environments and actions for agentic professional work, make model selection decisions, manage context windows, create optimal tools, and develop evals that enable faster iteration loops to unlock new capabilities. We're looking for engineers and researchers who are immersed in the space, driven to ship impactful products, and are experienced in using practical evaluations to drive task completion quality and customer delight. REPRESENTATIVE PROJECTS - Save weeks of effort on high pressure M&A deals by automating information requests and diligence checks across hundreds of thousands of files with retrieval and file editing agents. - Dramatically speed up deal turnaround speed by improving the latency and quality of agents on applying a standard legal "playbook" to contracts. - Ensure that our clients win their complex, data-hungry litigation cases by optimizing our multi-source retrieval agents. - Enable board-ready PowerPoint generation by tuning the harness and libraries for coding agents. WHAT YOU'LL DO - Partner with customers and PMs to understand legal workflows, design practical evaluations that capture what “excellent” means, and ship agents that get the job done. - Optimize agent performance through prompt engineering, model selection, tool design, skill writing, context window management, and eval harness development. - Work with our model infra team to design and implement infrastructure for low-latency agent execution, including caching strategies, parallel tool calls, or subagent patterns. - Improve our observability and instrumentation to profile agent behavior, identify bottlenecks, and drive optimization decisions. - Stay current on new developments in agentic systems and bring those learnings back to the products we build. WHAT YOU HAVE - Passion for building effective domain-specific agents. - Iterative mindset: you develop proof of concepts, make decisions quickly, and ship v0s. - Comfortable with when and how to use evaluations to drive quality. - Humble and adaptable about code and frameworks. We expect you to drive adoption of new best practices as they develop. - 8+ years (post-BS/MS) of software engineering experience. - We are hiring for this role across Mid, Senior, and Staff levels. - Proficiency in Python and experience working with LLM APIs and agent frameworks. - Experience with shipping user-facing products, either on the backend or full-stack. COMPENSATION RANGE $231,000 - $340,000 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-BB1 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
Senior Software Engineer, Agents
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 Software Engineer, Agents, you'll build the systems that make our AI agents indispensable to legal professionals. You will design environments and actions for agentic professional work, make model selection decisions, manage context windows, create optimal tools, and develop evals that enable faster iteration loops to unlock new capabilities. We're looking for engineers and researchers who are immersed in the space, driven to ship impactful products, and are experienced in using practical evaluations to drive task completion quality and customer delight. REPRESENTATIVE PROJECTS - Save weeks of effort on high pressure M&A deals by automating information requests and diligence checks across hundreds of thousands of files with retrieval and file editing agents. - Dramatically speed up deal turnaround speed by improving the latency and quality of agents on applying a standard legal "playbook" to contracts. - Ensure that our clients win their complex, data-hungry litigation cases by optimizing our multi-source retrieval agents. - Enable board-ready PowerPoint generation by tuning the harness and libraries for coding agents. WHAT YOU'LL DO - Partner with customers and PMs to understand legal workflows, design practical evaluations that capture what “excellent” means, and ship agents that get the job done. - Optimize agent performance through prompt engineering, model selection, tool design, skill writing, context window management, and eval harness development. - Work with our model infra team to design and implement infrastructure for low-latency agent execution, including caching strategies, parallel tool calls, or subagent patterns. - Improve our observability and instrumentation to profile agent behavior, identify bottlenecks, and drive optimization decisions. - Stay current on new developments in agentic systems and bring those learnings back to the products we build. WHAT YOU HAVE - Passion for building effective domain-specific agents. - Iterative mindset: you develop proof of concepts, make decisions quickly, and ship v0s. - Comfortable with when and how to use evaluations to drive quality. - Humble and adaptable about code and frameworks. We expect you to drive adoption of new best practices as they develop. - 5-8 years (post-BS/MS) of software engineering experience. - We are hiring for this role across Mid, Senior, and Staff levels. - Proficiency in Python and experience working with LLM APIs and agent frameworks. - Experience with shipping user-facing products, either on the backend or full-stack. COMPENSATION RANGE $193,400 - $290,000 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-BB1 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
Senior Manager, Engineering
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 Harvey is building the infrastructure foundation behind one of the most ambitious AI product companies in the world. Our Core Infrastructure team powers every user interaction across Harvey’s legal AI platform, which already processes billions of prompt tokens and millions of daily requests for leading law firms, enterprises, and other high-stakes customers. We are looking for an Engineering Manager to lead Core Infrastructure from Bengaluru as we scale the platform, the team, and the next generation of Harvey products. This is a high-leverage role for a builder-leader who can grow strong engineers, drive technical execution, and raise the bar on reliability, performance, security, and developer velocity. This is not a pure operations role. Core Infrastructure at Harvey is responsible for building new systems as well as hardening existing ones, with an emphasis on architecture, scale, and long-term platform leverage rather than reactive firefighting alone. Harvey is in a build era, not a maintenance era. New product surfaces ship rapidly, and India engineering is expected to play a foundational role in shaping the architecture, culture, and roadmap of Harvey’s next decade. At Harvey, we value Decisiveness, Simplicity, and the mindset that Job's Not Finished. We move fast, prioritize clarity, and are always striving for excellence. If this resonates with you, we'd love to hear from you. WHY THIS ROLE MATTERS: Core Infrastructure exists to “deliver core infrastructure that powers our products and teams,” and its current mission is operational excellence at scale. The team serves two critical user groups: external customers who need Harvey to be as reliable as the tools it replaces, and internal product engineering teams who need infrastructure they can build on without firefighting. The systems this team owns are directly tied to Harvey’s next wave of growth, including agent infrastructure, database resilience, site reliability, vector search, job execution, regional data residency, and multi-cloud scale. WHAT YOU'LL DO: - Lead, hire, and develop a high-agency infrastructure team in Bengaluru, creating a culture of accountability, technical excellence, and strong mentorship. - Own delivery for core infrastructure investments spanning cloud infrastructure, observability, container orchestration, reliability, and platform foundations. - Partner closely with Product Engineering, Security, and adjacent platform teams so infrastructure accelerates product delivery instead of constraining it. - Guide technical strategy across multi-cloud infrastructure, including Azure- and GCP-based systems, Kubernetes orchestration, networking, container management, and infrastructure as code. - Drive operational excellence through better observability, incident response, disaster recovery, runbooks, alerting, and recovery tooling. - Help the organization scale safely by improving system design quality, hardening critical paths, and pushing durable solutions to reliability bottlenecks before they become customer-facing failures. - Partner with AI and product teams to support Harvey’s next major product surfaces, including agent workflows, model infrastructure, and large-scale document processing systems. - Contribute as a hands-on technical leader when needed, especially in architecture reviews, incident leadership, prioritization, and high-stakes cross-functional programs. REPRESENTATIVE PROBLEMS YOU MAY LEAD: - Hardening the Agent Platform so product teams can ship AI agent experiences with resource isolation, authenticated sandbox access, and resilient execution. - Improving database resilience and recovery so incidents are mitigated quickly and the main database never becomes the bottleneck during critical events. - Raising site reliability through stronger alerting, failover strategy, autoscaling, and runbooks so customers are never the first to know Harvey is degraded. - Scaling vector and retrieval infrastructure that underpins document-heavy workflows and enterprise search, including migrations that improve reliability and unlock new capabilities. - Building a multi-region, enterprise-grade platform that meets strict data residency, security, and uptime expectations for global customers. WHAT WE’RE LOOKING FOR: - 4+ years of engineering management experience and 10+ years of hands-on infrastructure or platform engineering experience in production environments. - Deep technical strength across cloud infrastructure, Kubernetes, networking, observability, CI/CD, and infrastructure-as-code tooling such as Terraform or Pulumi. - A track record of designing and scaling reliable distributed systems, with strong judgment around performance, fault tolerance, and operational tradeoffs. - Experience leading complex cross-functional initiatives and translating ambiguous platform needs into clear execution plans and measurable outcomes. - Strong people leadership: hiring well, coaching engineers, creating accountability, and building a healthy, high-performing team culture. - Clear communication and calm execution during incidents, escalations, and high-stakes customer-impacting situations. - A systems mindset, bias for simplicity, and the ability to raise standards while keeping teams moving fast. NICE TO HAVE - Experience with AI/ML infrastructure, high-throughput inference systems, or model platform reliability. - Experience operating multi-tenant, security-sensitive platforms for enterprise or regulated customers. - Familiarity with Azure at scale; GCP or AWS experience also transfers well. - Experience supporting global, follow-the-sun operations or building teams across regions. ADDITIONAL INFORMATION - Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role. PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice. #LI-AS2 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
Data Scientist, Marketing
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 hiring a Marketing Data Scientist to partner closely with Harvey’s Marketing organization and build our marketing data science function from the ground up. In this role, you’ll serve as a trusted analytical partner to Marketing, GTM, and Finance - defining how we measure marketing success, understanding what drives channel and campaign performance, and informing where and how we invest to accelerate growth. As one of the earliest Marketing data science hires, you’ll own the development of core Marketing metrics, scalable dashboards, and analytical frameworks that enable data-driven decision-making across the business. WHAT YOU’LL DO - Embed deeply with the Marketing organization as a trusted partner, identifying opportunities to improve performance and drive growth. - Define, track, and evolve core metrics across marketing and business functions, building scalable dashboards and reporting frameworks that enable data-driven decision-making. - Design, implement, and evaluate models (multi-touch attribution, marketing mix modeling, incrementality) for comprehensive Marketing Channel and Campaign performance and contribution. - Apply statistical and machine learning techniques to model user behavior, forecast trends, and identify opportunities for growth and optimization. - Translate complex analyses into compelling stories, delivering clear recommendations to cross-functional partners and executives. - Partner with Marketing, RevOps and GTM System, to co-develop data infrastructure, ensuring robust pipelines, reliable data sources, and scalable systems that power analytics and modeling. - Lead cross-functional analytics initiatives that synthesize competitive dynamics, customer feedback, and market trends into actionable opportunities for the business. - Champion a data-informed culture by establishing best practices, mentoring peers, and shaping the strategic role of data science at Harvey. WHAT YOU HAVE - 5+ years of experience in quantitative roles operating in highly ambiguous environments, ideally as an early data scientist or Marketing analyst within a hyper-growth product company or research organization - Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows - Expertise working with Salesforce, Marketo and Ads spent data - Strong experience with modern data stack, such as DBT, Looker and Omni - Proficiency in quantitative programming languages, such as Python and R - Experience defining, implementing, and operationalizing Marketing campaign- and channel-level metrics from the ground up - Strong communication skills, with the ability to effectively partner with leaders across Marketing, GTM and Finance - Strategic mindset capable of generating insights that extend beyond traditional statistical significance testing to inform long-term product and business direction COMPENSATION $170,000 - $260,000 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-SB1 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
Staff Product Designer, Student Experience
About Handshake Handshake is the career network built for the AI economy. With 20 million knowledge workers, 1,600 educational institutions, 1 million employers—including 100% of the Fortune 50—and every major AI lab trusting Handshake to power career discovery, hiring, and upskilling, we sit at the intersection of talent and opportunity at a pivotal moment in history. From freelance AI training gigs to first internships to full-time careers, Handshake is where professional journeys begin and evolve. That unique position is driving extraordinary growth: in 2025, we tripled our ARR at scale. About the Role As a Staff Product Designer on the Student Experience team at Handshake, you'll shape how millions of students discover jobs, build careers, and navigate one of the most consequential transitions in their lives. You'll own the end-to-end experience across job discovery and matching, resume building, interview prep, and long-term career planning — with a growing part of that experience powered by an AI agent that acts on a student's behalf, not just responds to their queries. This team sits at the forefront of Handshake's product strategy. As a Staff Designer, you'll help define what great student career experiences look like at Handshake, bringing deep craft and systems thinking to everything from core flows to novel agentic interactions, while partnering closely with product, engineering, applied AI/research, data science, and career services experts to build products that millions of students rely on. Your Role - Partner closely with product, engineering, applied AI, data science, and content teams to define problems, shape product strategy, and deliver student experiences that feel genuinely helpful and trustworthy end to end. - Own design end-to-end, from early concept through post-launch iteration: user flows, interaction patterns, prototypes, high-fidelity mocks, and collaboration through implementation. - Design across the full arc of the student journey — job discovery, matching, application support, interview prep, and career pathing — including experiences where an AI agent takes meaningful action for students, not just surfaces information. - Tackle novel, ambiguous design problems, including those at the frontier of agentic UX: how to represent agent reasoning, build appropriate trust and control, handle uncertainty, and hand off between AI and human judgment at the right moments. - Rapidly iterate through wireframes, prototypes, and experiments to validate interaction models and optimize for real career outcomes — better job matches, stronger applications, faster placement. - Partner with cross-functional teams to design and refine how new capabilities, including agentic features, are introduced, explained, and trusted by students. - Obsess over craft, bringing a strong point of view on visual design, interaction design, and systems thinking while maintaining a relentless focus on student outcomes and wellbeing. Your Experience - 7+ years of product design experience, ideally building consumer-facing products at scale. - A track record of owning complex, end-to-end product experiences — not just individual features or flows. - Experience designing AI-powered or agentic products — systems that take action, make recommendations, or automate tasks on a user's behalf, not just conversational chat interfaces — is a strong plus. - Strong communicator who clearly articulates design decisions, tradeoffs, user insights, and the thinking behind them to partners and leadership. - Deep visual and interaction design expertise, with a proven track record of shipping high-quality experiences that drive measurable impact. - Experience designing for trust, transparency, and control — helping users understand what a system is doing and why, and feel confident acting on its recommendations. - Comfortable incorporating generative AI tools into the design process to accelerate ideation, prototyping, and iteration, while maintaining a high bar for product thinking, craft, and user experience. - Comfortable using qualitative and quantitative insights to inform design decisions, evaluate experiments, and iterate quickly on emerging patterns. - Highly collaborative. You value diverse perspectives and partner effectively across engineering, product, applied AI, data science, and career services experts. - Design-led thinker who raises the bar by embedding design thinking into product development and helping others grow. - Impact-driven. You prioritize ruthlessly and focus on the work that matters most for student career outcomes. - Gritty and hands-on. You're willing to roll up your sleeves and take ownership — nothing is "someone else's problem." - Deeply motivated by Handshake's mission and committed to helping students build meaningful careers in the AI economy. - Curious and always learning, with a growth mindset — especially about how agentic AI is reshaping product design. Bonus Points - Experience designing agent-based or copilot products (career coaching, personal assistants, autonomous task agents, etc.). - Familiarity with career services, higher education, recruiting, or early-career talent pipelines. - Background in designing for high-stakes decisions where trust, explainability, and error recovery matter (finance, health, hiring). - Passion for early-career professionals, the future of work, or the intersection of AI and human potential. We Offer Handshake delivers benefits that help you feel supported and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend 📚 Growth: $2,000 learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers http://joinhandshake.com/careers. http://joinhandshake.com/careers.Your
Staff Product Designer, Handshake AI
ABOUT HANDSHAKE Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. Your role - Partner with product, engineering, data, research, and operations to build and extend the tasking experience—the central platform to shape frontier AI models. - Develop strategic product visions and collaborate with partners to sequence them into pragmatic phases. - Collaborate closely with Quality, Coding, RLE, and Fellow Experience teams—your work enables theirs. - Partner with operations leaders and stay close to operators’ workflows. Run pilots, shadow users, uncover pain points, and translate insights into prioritized investments. - Tackle complex, ambiguous human-centered problems and translate them into clear, simple solutions. - Own design end-to-end—from concept through production—iterating quickly through research, user journeys, wireframes, prototypes, and high-fidelity designs with a strong point of view on craft. - Raise the bar for design culture and execution through systems thinking, product reasoning, pixel-level precision, facilitation, and mentoring. Your experience - 7+ years of product design experience, ideally working on highly complex, interactive products. - Strong communicator who clearly articulates design decisions, tradeoffs, and the thinking behind them to partners and leadership. - Deep visual and interaction design expertise, with a proven track record of shipped work and measurable impact. - Experience designing scalable systems, workflows, or platforms with many moving parts and stakeholders. - Highly collaborative, valuing diverse perspectives and incorporating them into the design process to achieve better outcomes. - Design-led thinker who raises the bar by embedding design thinking into day-to-day work and helping others grow. - Impact-driven, with the ability to prioritize ruthlessly and focus on the work that matters most. - Hands-on, willing to roll up your sleeves and take ownership—nothing is “someone else’s problem”. - Deeply motivated by Handshake’s mission. Humble, kind, and curious, with a desire to keep learning and help others grow. - Bonus if you have experience in model training, conversational AI, or task management systems at a high-growth company. We Offer Handshake delivers benefits that help you feel supported and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend 📚 Growth: $2,000 learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers http://joinhandshake.com/careers. http://joinhandshake.com/careers.Your
Staff Product Designer, Autonomous Recruiting
About Handshake Handshake is the career network built for the AI economy. With 20 million knowledge workers, 1,600 educational institutions, 1 million employers—including 100% of the Fortune 50—and every major AI lab trusting Handshake to power career discovery, hiring, and upskilling, we sit at the intersection of talent and opportunity at a pivotal moment in history. From freelance AI training gigs to first internships to full-time careers, Handshake is where professional journeys begin and evolve. That unique position is driving extraordinary growth: in 2025, we tripled our ARR at scale. About the Role We're building a new, AI-native product from the ground up—one that reimagines how recruiters and hiring managers source, engage, and manage talent from a blank slate. This is a rare opportunity to shape a product's foundational experience rather than iterate on an existing one, working closely with an AI recruiting assistant that sits at the center of the workflow. As a Staff Product Designer on this team, you'll help define what it means to design a consumer-grade, craft-forward experience for a complex B2B workflow, with a particular focus on how users move fluidly between conversational AI, agentic automation, and traditional structured tools. Things are moving quickly and the scope of this role will evolve, so we're looking for someone comfortable with ambiguity who can dive deep into complex workflows, simplify them, and bring a strong opinion on how people should collaborate with AI and agents day to day. Your Role - Partner closely with product, engineering, and data teams to define problems, set goals, and shape product strategy for a new, high-visibility product area. - Own design end-to-end, from early concept through post-launch iteration: user flows, interaction prototypes, high-fidelity mocks, and collaboration through build. - Tackle complex and ambiguous human-centered design problems, translating them into clear, simple, consumer-grade solutions. - Design core interaction patterns for working with AI and agents—particularly around chat, composer, and the movement between conversational and structured parts of the product. - Rapidly iterate through wireframes and prototypes to gather feedback early and often. - Obsess over craft, with a strong point of view on visual and interaction design. - Collaborate closely with designers working on adjacent parts of the broader employer experience to ensure a coherent, unified product. Your Experience - 7+ years of product design experience, ideally on enterprise or B2B products involving complex workflows. - Strong communicator who clearly articulates design decisions, tradeoffs, and the thinking behind them to partners and leadership. - Deep visual and interaction design expertise, with a proven track record of shipped work and measurable impact. - Comfortable incorporating generative AI tools into the design process to accelerate ideation, prototyping, and iteration, while maintaining a high bar for product thinking, craft, and user experience. - Highly collaborative. You value diverse perspectives and incorporate them into the design process to achieve better outcomes. - Design-led thinker who raises the bar by embedding design thinking into day-to-day work and helping others grow. - Comfortable with ambiguity and rapid change; excited to build something from scratch rather than optimize an existing system. - Gritty and hands-on. You're willing to roll up your sleeves and take ownership—nothing is "someone else's problem." - Curious and always learning, with a growth mindset. Nice to Have - Experience designing for an AI-native product with real thinking about chat, composer, and agent interaction patterns. We Offer Handshake delivers benefits that help you feel supported and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend 📚 Growth: $2,000 learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers http://joinhandshake.com/careers.
Senior Product Marketing Manager, Handshake AI
ABOUT HANDSHAKE Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Now, we are bringing the same capabilities to grow the Enterprise business. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue ABOUT HANDSHAKE AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. We're now bringing that same rigor to the enterprise. Handshake AI moves enterprise agents from pilot to production, in a repeatable way, through quality infrastructure such as evals and rubrics, simulations, safety and security testing, and model optimization that encodes an organization's own expertise into durable, sovereign IP the customer owns, at the optimal cost. We work with Fortune 500 leaders to close the gap between AI pilots and production-grade deployment. ABOUT THE ROLE You'll be the end-to-end product marketing owner for Handshake AI's frontier lab business, the connective tissue between research, product, sales, and the market. You'll translate deep technical work into positioning that lands with researchers and lab leadership, then arm sales with everything they need to close and grow those relationships. This is a build-from-scratch seat: you'll set the GTM playbook for a business growing faster than almost anything in AI. - Positioning & Strategy: Build end-to-end positioning, messaging, and competitive strategy for Handshake AI's frontier lab business, keeping it unified with Handshake's broader career-network story rather than siloed as a separate business. - Research Translation: Partner with the HAI research team to turn technical research outputs into market-ready content, building Handshake AI's credibility with researchers and the broader AI community. - Content & Website: Build the lab-facing content engine, including one-pagers, conference materials, and a Handshake AI website that is ready to be built out from scratch. - Data Catalog: Create and maintain a data gallery, a clear menu of the data types Handshake AI offers, so researchers can see at a glance what is possible. - White-Space Discovery: Spot where Handshake's expert human data can add the most value to lab research, and turn those insights into positioning and content. - Sales Ownership: Serve as the primary PMM point of contact and decision-maker for how Handshake AI shows up in lab-facing conversations — value props, proof points, pricing/packaging narratives, and objection handling. - Sales Enablement Materials: Build and maintain the playbooks, talk tracks, competitive one-pagers, and pitch assets the field runs on, iterating based on direct feedback from Sales. - GTM Strategy: Partner with HAI Product and Sales leadership to shape long-term product and GTM strategy — synthesizing customer, competitive, and market insight into clear executive recommendations — and codify the frameworks, launch templates, and messaging systems the broader team reuses. - Event & Field Marketing: Partner with the field marketing team to translate HAI positioning into compelling in-person and virtual experiences, owning messaging for executive dinners, field events, and conference activations. You'll also help stand up Handshake AI's newer Enterprise AI business, co-owning product marketing with a fellow AI product marketer: - Content & Thought Leadership: Create content and thought leadership pieces for external awareness, and figure out how to promote them across the website, social, and other channels. - Sales Enablement: Build the assets sales needs to sell Enterprise AI into Fortune 500 accounts such as competitive battlecards (backed by ongoing competitive analysis), pitch decks, use case examples, and other collateral. - Use Case Prioritization: Prioritize which enterprise use cases and industries to go after, in partnership with a teammate who also works on industry use cases, based on market and customer insight. - Event Marketing: Collaborate with the field marketing team (which has dedicated enterprise reps) on which enterprise-specific events to attend and how Handshake AI shows up there. YOU HAVE - 6+ years of experience in product marketing, content marketing, or a related B2B marketing discipline - Strong foundation in positioning, messaging, and content creation, including website and social - A track record of 0-to-1 program building — comfortable with ambiguity, working independently without a perfect brief, wearing multiple hats, prioritizing, and scaling based on data - Ability to influence at all levels, including executives - Strong project management skills, with experience coordinating complex, multi-stakeholder launches - Experience building sales enablement materials, including competitive positioning and technical demo content Bonus points: - Experience in the human data or AI training data field - AI/ML background or technical fluency, including experience partnering directly with researchers, scientists, or other technical stakeholders - Experience marketing to enterprise B2B buyers — ideally in AI/ML infrastructure, data, or a related technical category, with exposure to Fortune 500 sales cycles - Experience in demand generation, growth, partner marketing, or full-funnel marketing at a startup WE OFFER Handshake delivers benefits that help you feel supported and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend 📚 Growth: $2,000 learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers http://joinhandshake.com/careers.
Senior Data Engineer
ABOUT HANDSHAKE Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue ABOUT THE ROLE Handshake is hiring a Senior Data Platform Engineer to build and operate the infrastructure that moves data reliably across our career marketplace and AI products. On the Data and ML Platform team, you will own the systems that orchestrate batch workloads and deliver timely, trustworthy data to engineers, analysts, and product teams. This is a hands-on technical leadership role with the opportunity to shape Handshake's data infrastructure strategy. You will set the technical direction for our workflow orchestration platform (Airflow), data ingestion, data pipelines, our data warehouse (BigQuery) and streaming data infrastructure. You'll collaborate closely with ML engineers, data scientists, and other engineers to maximize velocity on our data platform. This infrastructure will also support Handshake's growing AI development, from model and agent workflows to evaluation and production data access. WHAT YOU'LL DO - Lead the technical direction and roadmap for our Airflow and Astronomer platform while owning its production operations: deployment, DAG packaging, scheduler and worker capacity, upgrades, observability, and incident response. - Build paved paths for authoring, testing, deploying, and operating workflows, including reusable operators, CI checks, local and staging environments, and clear runbooks. - Design and operate streaming and change data capture pipelines using tools such as Pub/Sub, Dataflow or Beam, and Datastream to serve analytics and product use cases. - Make data delivery resilient to retries, duplicates, schema changes, late events, backfills, and replay; define useful latency, freshness, and reliability targets. - Improve the cloud foundation behind data workloads with Kubernetes, Terraform, IAM, secrets, CI/CD, and cost-aware capacity management. - Lead cross-team design decisions on data contracts, interfaces, and operational ownership; mentor engineers and align application, analytics, ML, and cloud partners on scalable platform approaches. - Participate in on-call, troubleshoot production failures across systems, and turn incidents into durable improvements. - Build dependable data and orchestration foundations for AI workloads, including batch inference, evaluation datasets, and agent-facing data. DESIRED CAPABILITIES - Strong software engineering skills in Python and experience building and operating production data or distributed systems. - Deep hands-on Airflow experience beyond writing DAGs: scheduling and execution behavior, deployment, scaling, upgrades, monitoring, and debugging failures. - Experience with event-driven or streaming data infrastructure, including a message broker or managed event bus and a stream processing system. - Sound understanding of CDC, delivery guarantees, idempotency, ordering, schema evolution, and recovery or replay in production pipelines. - Experience with cloud infrastructure and infrastructure as code; comfortable working with containers, Kubernetes, CI/CD, access controls, and production observability. - A track record of leading ambiguous infrastructure initiatives: setting technical direction, making pragmatic architecture tradeoffs, and driving adoption across teams. - Clear communication and a track record of partnering across teams while owning systems through production support. EXTRA CREDIT - GCP services such as Pub/Sub, Dataflow, Datastream, BigQuery, GKE, and Cloud Storage. - Astronomer, Apache Beam, Terraform, Spacelift, Datadog, dbt, Spark or Dataproc. - Supporting both batch and low-latency consumers, including product-facing data services or ML features. - Experience supporting ML or AI workloads such as inference pipelines, reproducible evaluations, or governed data access. PERKS Handshake delivers benefits that help you feel supported — and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, & vision, mental health support, $500 wellness stipend 📚 Growth: $2,000 learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, & free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, & comprehensive US benefits at joinhandshake.com/careers http://joinhandshake.com/careers.
Senior Cloud Engineer, Agentic Infrastructure
ABOUT HANDSHAKE Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family & peers can see & feel - Work hand-in-hand with world-class AI labs, Fortune 500 partners & the world's top educational institutions - Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, & Palantir, among others - Build a massive, fast-growing business with billions in revenue THE ROLE At Handshake, we believe the infrastructure you build should be as thoughtful as the product it supports. We're looking for a Senior Cloud Engineer on the Agentic Infrastructure team who's excited to shape the foundation that our engineering teams build on — someone who sees infrastructure not as plumbing, but as a product in itself. As a Senior Cloud Engineer, you'll be at the center of how we design, deploy, and evolve our cloud infrastructure. You'll work closely with engineering, platform, and security teams to define patterns that scale — and make it genuinely easy for developers to do the right thing. You'll codify best practices, champion automation, and bring a modern, opinionated perspective on how cloud-native infrastructure should work. This isn't a "keep the lights on" role. You'll be architecting systems, writing the playbooks others follow, and pushing us toward a more intelligent, automated infrastructure future. WHAT YOU'LL DO - Architect and manage scalable, reliable cloud infrastructure across our production and development environments - Define and enforce best practices for cloud deployments, making it easy for teams to ship safely and confidently - Build and maintain CI/CD pipelines (we use Buildkite) and GitOps workflows with ArgoCD to streamline how code gets from commit to production - Own and evolve our Infrastructure as Code practices using Terraform, Crossplane, or similar IaC tooling - Drive platform improvements that reduce toil and increase developer velocity - Explore and implement AI-driven approaches to infrastructure automation, observability, and incident response - Partner with engineering teams to design systems that are cloud-native from the ground up - Mentor engineers across the organization on cloud best practices and patterns YOU HAVE - Deep hands-on experience with GCP (strongly preferred), AWS, or Azure — you've run production workloads at scale and know where the bodies are buried - Strong proficiency with Infrastructure as Code, particularly Terraform or experience with Crossplane or similar policy-driven IaC - Fluency with modern CI/CD tooling — Buildkite, GitHub Actions, or similar — and a strong GitOps mindset with tools like ArgoCD or Flux - Experience designing container-based and Kubernetes-native architectures - A genuine curiosity about applying AI and automation to infrastructure problems — whether that's smarter alerting, self-healing systems, or LLM-assisted runbooks - Strong communication skills — you can explain a complex architectural decision to an engineer and an executive alike - A collaborative spirit and a bias toward documentation, standards, and shared ownership Bonus Points - Familiarity with FinOps practices and cloud cost optimization - Background in platform engineering or developer experience (DX) - Exposure to Cloud Security practices, and experience with IAM, SIEM, scanning, etc. - Experience with service mesh architectures (Istio, Linkerd) WE OFFER Handshake delivers benefits that help you feel supported — and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, & vision, mental health support, $500 wellness stipend 📚 Growth: $2,000 learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, & free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, & comprehensive US benefits at joinhandshake.com/careers http://joinhandshake.com/careers.
GTM Engineer
ABOUT HANDSHAKE Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue ABOUT THE ROLE Our go-to-market team wins on three things: being with the right customers, at the right moment, and bringing the right data and story to the conversation. Most of the work that keeps them from it — assembling account context, chasing signals across systems, running the recurring mechanics of the business — is work AI can now do. It isn't being done today because our collective intelligence is fragmented: account context, market signal, product usage signal, and operating knowledge live scattered across systems and people, where AI cannot reach it. GTM Engineering is the build discipline that closes that gap. We centralize the intelligence and build the engines that run on it, so reps spend less time assembling context and doing tedious work, and more time with customers, with a sharper case in hand when they get there. The bet is if we centralize that intelligence and build reusable engines on top of it, we inflect growth. Every time we ship, it is a power-up to the whole GTM team — new business and customer, at once. As a GTM Engineer, you’ll sit at the intersection of business systems, data, and AI, building workflows that help Sales, Account Management, Customer Success, and RevOps move faster and operate more intelligently. You’ll own the execution of AI-driven automation across our GTM stack, using tools like Salesforce, Gainsight, Gong, Nooks, Clay, and BigQuery.This is the technical seat on the team, a senior individual contributor who treats GTM as a software problem and ships software that does the work a rep used to do. You will inherit a live portfolio of automations, own the technical end of the build, and shape a team that is being built. - Mine the prospect base for signals and feed the pipeline: Be our Clay power user. Build enrichment waterfalls and signal-detection workflows (job changes, hiring, funding, tech-stack, and product-usage triggers) that continuously mine our prospect and account base, then score, prioritize, and route the highest-fit qualified leads straight to our account executives. - Build AI-powered workflows and agents: Design, build, and maintain AI-driven workflows and agents using a mix of workflow tools (Salesforce Flows, Workato) and code (e.g., Python, SQL). - Turn fuzzy problems into shipped systems: Translate ambiguous business problems and high-effort manual workflows into reliable AI-powered automation, - Ship reliable, maintainable systems: Own your builds end-to-end. Develop the technical documentation, monitoring, and testing frameworks that keep GTM systems and AI workflows reliable, observable, and easy to adopt. - Champion AI across GTM: Spread AI best practices across the go-to-market teams, pitch plays unprompted, and help the whole org operate more intelligently. DESIRED CAPABILITIES You're a Senior IC and an opinionated builder who thinks in systems and in outcomes. You tinker until an unfamiliar tool works, and you solve problems analytically across functions to get there. - 3–5 years in GTM Engineering, RevOps, Marketing Ops, Sales Systems Engineering, or Growth Engineering, building software-grade automation for a B2B SaaS GTM organization - AI coding assistant fluency (Claude Code, Codex, or Cursor): you use one daily to scaffold, debug, and ship a working automation the same day you started it - Advanced Clay (or an equivalent enrichment + orchestration platform): you know when to reach for Clay and when to build something custom in Claude Code - SQL fluency: you can write and understand complex, multi-table queries, and you're comfortable in a warehouse layer (dbt, BigQuery) - Hands-on experience inside Salesforce (data model, Flows, formula fields — Apex is a plus): you understand how leads and accounts actually move through the system, and why data quality degrades over time - Ownership Mindset: you define scope with minimal direction and ship a good v1 in weeks over a perfect one that never ships. EXTRA CREDIT - 5+ years total experience - Production experience with LLM APIs (Claude, OpenAI): prompt design, eval loops, error handling, and the difference between a demo and something you’d trust in production - Agent tooling and Model Context Protocol (MCP) experience (Claude Agent SDK, MCP servers, a shared library of skills/prompts/plugins) - Project experience in AI/ML, advanced analytics - Background in early careers or marketplace SaaS PERKS Handshake delivers benefits that help you feel supported—and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, wellness stipend 📚 Growth: Learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers http://joinhandshake.com/careers.
AI Red Teamer, Cybersecurity (Remote)
CYBERSECURITY RED TEAMER Location: Seattle, WA, or Remote within the United States Work arrangement: Flexible, including part-time availability Handshake was founded on a simple belief: everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we support 25 million job seekers, more than 1 million employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with researchers at frontier AI labs to create evaluations, publish benchmarks, and push the boundaries of data. We have grown from $0 to approximately $1 billion in run rate and pay approximately $60 million to more than 30,000 individuals every month. WHY JOIN HANDSHAKE NOW - Shape how careers evolve in the AI economy at a global scale, with an impact your friends, family, and peers can see and feel - Partner closely with world-class AI labs, Fortune 500 companies, and leading educational institutions - Work with engineers, scientists, operators, and other professionals from organizations such as Palantir, Meta, and Scale AI, as well as former YC founders - Help build a massive, rapidly growing business with billions in revenue - Work from Seattle or remotely from anywhere within the United States ABOUT HANDSHAKE AI Human data is core infrastructure for AI advancement. Frontier AI labs currently improve model capabilities through data-intensive post-training techniques. We believe spending on AI training data will increase three to five times over the next few years and continue growing as models expand into new domains. Handshake AI supports frontier AI labs by working on their most complex data challenges at scale. ABOUT THE ROLE As a Cybersecurity Red Teamer, you will evaluate whether AI models can be manipulated into generating functional malware, viable exploit code, attack tooling, or step-by-step operational guidance that could give a threat actor meaningful assistance in carrying out cyberattacks. Your job is to find the gaps between what a model’s safety guardrails are intended to block and what a skilled adversary can actually extract. This role requires you to think like an attacker who has access to a highly capable AI assistant. You will craft adversarial prompts and multi-turn interaction chains that simulate how real threat actors, ranging from inexperienced attackers to advanced persistent threat operators, might use LLMs to accelerate reconnaissance, weaponization, exploitation, lateral movement, persistence, and exfiltration. You will then evaluate whether the model’s output is genuinely dangerous or merely surface-level noise. Deep cybersecurity expertise is essential. Your value will come from being able to examine a model-generated payload, exploit chain, or attack plan and determine whether it would actually work, how much refinement it would require, and what type of attacker it could meaningfully assist. This position may be performed from our Seattle location or remotely within the United States. Seattle-based and remote team members will collaborate closely through shared evaluation workflows, regular feedback, and virtual working sessions. WHAT YOU WILL DO - Design technically grounded adversarial prompts that test whether models provide meaningful assistance across the cyber kill chain, from reconnaissance through exfiltration and impact - Evaluate model-generated code and technical output for functional correctness, determining whether outputs represent real exploits, plausible attack tooling, or nonfunctional noise - Test model behavior across offensive categories, including malware generation, vulnerability exploitation, social engineering, credential harvesting, privilege escalation, command-and-control infrastructure, and data exfiltration - Probe dual-use boundaries by testing how models respond to queries that combine legitimate security research, penetration testing, and defensive operations with offensive applications - Simulate attacker personas at varying skill levels, including opportunistic, intermediate, and advanced or APT-level actors - Test multi-step and multi-turn attack chains, including scenarios in which early turns establish benign context before pivoting to malicious requests - Score model responses using structured harm taxonomies and severity rubrics calibrated to real-world exploitability - Document findings with clear technical reasoning, including what a response gets right, what it gets wrong, and what level of attacker it could realistically assist - Contribute to the development and refinement of cybersecurity-specific evaluation frameworks and threat models - Collaborate with red teamers, AI researchers, and policy teams to translate findings into actionable model improvements - Stay current on evolving tactics, techniques, and procedures, CVEs, jailbreak techniques, and the intersection of AI and offensive security CORE QUALIFICATIONS - Professional experience in offensive security, penetration testing, red teaming, vulnerability research, malware analysis, threat intelligence, or incident response - Ability to read, write, and evaluate code in languages commonly used for offensive tooling, such as Python, PowerShell, Bash, C/C++, or JavaScript - Understanding of common attack frameworks, techniques, and procedures, including MITRE ATT&CK and OWASP - Ability to assess the functional correctness and real-world exploitability of model-generated technical output - Strong hands-on experience using multiple LLMs, such as ChatGPT, Claude, Gemini, or open-source models - Creative and adversarial problem-solving skills - Clear and precise written communication, including the ability to explain technical risk to nonspecialist audiences - Strong ethical judgment and the ability to separate adversarial thinking from personal values - Ability to work independently while collaborating effectively in a feedback-heavy, distributed environment NICE TO HAVE - Relevant certifications, such as OSCP, OSCE, GPEN, GXPN, CRTO, CRTL, CEH, or similar - Active or previous security clearance - Experience with exploit development, reverse engineering, or binary analysis - Background in cloud security, container security, or infrastructure-as-code attack surfaces - Familiarity with AI and machine-learning attack surfaces, including prompt injection, model extraction, training-data poisoning, and adversarial examples - Experience building or operating command-and-control frameworks, custom implants, or offensive tooling - A bug-bounty track record or published CVEs - Previous work in trust and safety, content moderation, or AI evaluation - Familiarity with LLM APIs or evaluation tooling YOU MAY BE A STRONG FIT IF - You have spent years breaking into systems and want to apply that mindset to testing AI models - You can examine a model-generated reverse shell, phishing template, or privilege-escalation script and quickly determine whether it would work in a real environment - You think in kill chains and attack graphs, not just individual prompts - You understand that the difference between a useful coding assistant and a dangerous one often comes down to context, specificity, and operational detail - You closely follow the offensive-security community and stay current when new techniques emerge - You care about AI safety because you understand what can happen when powerful tools are used irresponsibly - You can collaborate effectively with a team whether you are working from Seattle or remotely CONTENT NOTICE This role involves regular and deliberate engagement with offensive cybersecurity content. You will create and evaluate scenarios involving malware, exploit code, social engineering, network-intrusion techniques, and other attack methodologies. All work is conducted within a structured evaluation framework with strict ethical guidelines. Candidates must be able to engage with this material professionally, responsibly, and sustainably.
AI Red Teamer, CBRNE (Remote)
ABOUT HANDSHAKE Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. ABOUT THE ROLE As a CBRNE Red Teamer, you will evaluate whether AI models appropriately handle queries related to chemical, biological, radiological, nuclear, and explosive threats. Your job is to probe models for dangerous knowledge gaps in their safety guardrails, testing whether they can be manipulated into providing meaningful uplift toward the creation, acquisition, or deployment of weapons or hazardous materials. This work sits at the intersection of AI safety and national security. You will use your domain expertise to craft realistic, technically grounded adversarial scenarios that stress-test model defenses far beyond what a non-expert could attempt. The goal is not to generate harmful content, but to find and document the places where models fail to refuse, hedge, or redirect appropriately so that labs can fix them before those failures reach the real world. This role requires deep subject matter expertise in at least one CBRNE domain, strong ethical judgment, and the ability to think like a sophisticated threat actor while operating within a structured evaluation framework. DAY-TO-DAY RESPONSIBILITIES - Design technically grounded adversarial prompts that test whether models provide meaningful uplift toward CBRNE threats - Evaluate model outputs for technical accuracy, assessing whether responses contain genuinely dangerous information versus superficial or publicly available knowledge - Probe dual-use knowledge boundaries, testing how models handle queries that blend legitimate scientific, medical, or industrial use cases with potential weapons applications - Test multi-step and multi-turn attack chains that simulate how a motivated actor might extract dangerous information incrementally - Score model responses against structured harm taxonomies and severity rubrics calibrated to real-world risk - Document findings with clear technical reasoning, including what a response gets right, what it gets wrong, and why the failure matters - Identify and articulate the difference between information that is freely available in open literature and information that constitutes genuine uplift beyond baseline - Contribute to the development and refinement of CBRNE-specific evaluation frameworks and threat models - Collaborate with other red teamers, AI researchers, and policy teams to translate findings into actionable model improvements - Stay current on evolving model capabilities, jailbreak techniques, and relevant developments in your domain DESIRED CAPABILITIES Core - Graduate-level education or equivalent professional experience in a relevant CBRNE field (chemistry, biochemistry, microbiology, virology, nuclear physics, radiochemistry, materials science, munitions/ordnance, chemical engineering, or closely related disciplines) - Ability to evaluate the technical accuracy and real-world consequence of model outputs in your domain - Understanding of dual-use research concerns and the distinction between open-source knowledge and operationally significant uplift - Strong hands-on experience using multiple LLMs (ChatGPT, Claude, Gemini, open-source models, etc.) - Creative, adversarial problem-solving skills - Clear and precise written communication, including the ability to explain technical risk to non-specialist audiences - Strong ethical judgment and the ability to separate adversarial thinking from personal values - Self-directed, collaborative, and comfortable in feedback-heavy environments Nice to Have - Active or prior security clearance (Secret, Top Secret, or SCI) - Experience in threat assessment, WMD analysis, intelligence analysis, or arms control verification - Background in biosafety/biosecurity, chemical safety, nuclear nonproliferation, or explosive ordnance disposal - Familiarity with relevant regulatory frameworks (CWC, BWC, IAEA safeguards, ATF regulations, Export Administration Regulations) - Experience in red teaming, penetration testing, or structured adversarial evaluation in any context - Familiarity with Python or scripting languages, LLM APIs, or evaluation tooling - Published research or professional presentations in a relevant CBRNE domain - Prior work in trust and safety, content moderation, or AI evaluation YOU WILL THRIVE HERE IF - You have spent years building deep expertise in a CBRNE-relevant field and want to apply that knowledge to AI safety - You can look at a model response about synthesis routes, enrichment processes, or dispersal mechanisms and immediately assess whether it crosses the line from textbook to actionable - You think in attack trees and threat models, not just individual prompts - You are comfortable working at the boundary between helpful scientific information and genuinely dangerous knowledge - You care about getting this right because you understand what the consequences of getting it wrong look like CONTENT WARNING This role involves regular and deliberate engagement with sensitive CBRNE-related content. You will craft and evaluate scenarios involving weapons of mass destruction, toxic industrial chemicals, biological agents, radiological and nuclear materials, and explosive devices. All work is conducted within a structured evaluation framework with strict ethical guidelines and operational security protocols. Candidates must be able to engage with this material professionally and sustainably.
AI Red Teamer (Seattle)
AI RED TEAMER (LLM GENERALIST) Location: Seattle, WA (candidates must reside in the Seattle metro area or be willing to relocate prior to start) Employment type: W-2, hourly, employed through TCWGlobal Hours: 40 hours per week ABOUT THE ROLE As an AI Red Teamer, you will stress-test large language models by intentionally trying to break them. Rather than checking whether an answer is correct, you will design creative, adversarial prompts that expose vulnerabilities: unsafe content, bias, broken guardrails, hallucinations, prompt injection weaknesses, and unexpected behaviors. Your work directly supports AI safety and model robustness for leading research labs. This is a generalist red teaming role. You will probe models across the full spectrum of risk categories, including content safety, CBRN (chemical, biological, radiological, nuclear), cybersecurity, persuasion and influence operations, child safety, self-harm, over-companionship, and regulatory compliance. Red teaming may span text, image, voice, and agentic model capabilities depending on project needs. This role requires creativity, curiosity, and an ability to think like an adversary while operating with strong ethical judgment. DAY-TO-DAY RESPONSIBILITIES - Craft creative prompts and multi-turn scenarios to stress-test AI guardrails across diverse risk categories - Discover ways around safety filters, restrictions, and defenses using jailbreak, evasion, and prompt injection techniques - Explore edge cases to provoke disallowed, harmful, or incorrect outputs - Evaluate and score model responses against structured harm taxonomies and severity rubrics - Document experiments clearly, including what you tried, why you tried it, and what it revealed - Review and refine adversarial prompts generated by other team members - Contribute to harm taxonomy development, calibration exercises, and inter-rater reliability work - Collaborate with engineers, data scientists, and researchers to share findings and strengthen defenses - Work with potentially disturbing content on a regular basis (see Content Warning below) - Stay current on jailbreaks, attack methods, and evolving model behaviors DESIRED CAPABILITIES Core - Strong hands-on experience using multiple LLMs (ChatGPT, Claude, Gemini, open-source models, etc.) - Intuition for crafting adversarial prompts; familiarity with jailbreak or evasion techniques is a strong plus - Creative, adversarial problem-solving skills - Clear and thoughtful written communication - Strong ethical judgment and the ability to separate adversarial thinking from personal values - Self-directed, collaborative, and comfortable in feedback-heavy environments - Curiosity, persistence, and comfort with frequent failure in experimentation Nice to Have - Familiarity with Python or other scripting languages - Experience working with LLM APIs or evaluation tooling - Comfort with structured data annotation and rubric-based scoring - Prior work in trust and safety, content moderation, QA, or security research - Subject matter expertise in any high-risk domain (cybersecurity, chemistry, biology, medicine, law, finance, etc.) YOU WILL THRIVE HERE IF - You treat every model response as a hypothesis to challenge - You can switch between creative free-association and rigorous documentation in the same session - You go deep into unusual interests (fandoms, niche internet cultures, gaming exploits, Wikipedia rabbit holes, etc.) - You come from a creative background: writing, visual art, improv, puzzle design, or similar - You are energized by finding the thing nobody else thought to try - You are genuinely passionate about AI and follow the space closely CONTENT WARNING This role involves regular and deliberate exposure to harmful content. You will encounter and intentionally generate content involving violence, self-harm, hate speech, sexually explicit material, child safety scenarios, and other categories of harmful output as part of structured adversarial testing. Candidates must be able to engage with this material professionally and sustainably. Support resources are available. ABOUT HANDSHAKE AI Handshake AI partners with leading AI research labs to make models safer and more robust. Our red teaming operations help identify vulnerabilities before they reach users, contributing directly to the responsible development of frontier AI systems.
AI Red Teamer (Remote)
AI RED TEAMER (LLM GENERALIST) Location: Remote (USA) Employment type: W-2, hourly, employed through TCWGlobal Hours: 40 hours per week ABOUT THE ROLE As an AI Red Teamer, you will stress-test large language models by intentionally trying to break them. Rather than checking whether an answer is correct, you will design creative, adversarial prompts that expose vulnerabilities: unsafe content, bias, broken guardrails, hallucinations, prompt injection weaknesses, and unexpected behaviors. Your work directly supports AI safety and model robustness for leading research labs. This is a generalist red teaming role. You will probe models across the full spectrum of risk categories, including content safety, CBRN (chemical, biological, radiological, nuclear), cybersecurity, persuasion and influence operations, child safety, self-harm, over-companionship, and regulatory compliance. Red teaming may span text, image, voice, and agentic model capabilities depending on project needs. This role requires creativity, curiosity, and an ability to think like an adversary while operating with strong ethical judgment. DAY-TO-DAY RESPONSIBILITIES - Craft creative prompts and multi-turn scenarios to stress-test AI guardrails across diverse risk categories - Discover ways around safety filters, restrictions, and defenses using jailbreak, evasion, and prompt injection techniques - Explore edge cases to provoke disallowed, harmful, or incorrect outputs - Evaluate and score model responses against structured harm taxonomies and severity rubrics - Document experiments clearly, including what you tried, why you tried it, and what it revealed - Review and refine adversarial prompts generated by other team members - Contribute to harm taxonomy development, calibration exercises, and inter-rater reliability work - Collaborate with engineers, data scientists, and researchers to share findings and strengthen defenses - Work with potentially disturbing content on a regular basis (see Content Warning below) - Stay current on jailbreaks, attack methods, and evolving model behaviors DESIRED CAPABILITIES Core - Strong hands-on experience using multiple LLMs (ChatGPT, Claude, Gemini, open-source models, etc.) - Intuition for crafting adversarial prompts; familiarity with jailbreak or evasion techniques is a strong plus - Creative, adversarial problem-solving skills - Clear and thoughtful written communication - Strong ethical judgment and the ability to separate adversarial thinking from personal values - Self-directed, collaborative, and comfortable in feedback-heavy environments - Curiosity, persistence, and comfort with frequent failure in experimentation Nice to Have - Familiarity with Python or other scripting languages - Experience working with LLM APIs or evaluation tooling - Comfort with structured data annotation and rubric-based scoring - Prior work in trust and safety, content moderation, QA, or security research - Subject matter expertise in any high-risk domain (cybersecurity, chemistry, biology, medicine, law, finance, etc.) YOU WILL THRIVE HERE IF - You treat every model response as a hypothesis to challenge - You can switch between creative free-association and rigorous documentation in the same session - You go deep into unusual interests (fandoms, niche internet cultures, gaming exploits, Wikipedia rabbit holes, etc.) - You come from a creative background: writing, visual art, improv, puzzle design, or similar - You are energized by finding the thing nobody else thought to try - You are genuinely passionate about AI and follow the space closely CONTENT WARNING This role involves regular and deliberate exposure to harmful content. You will encounter and intentionally generate content involving violence, self-harm, hate speech, sexually explicit material, child safety scenarios, and other categories of harmful output as part of structured adversarial testing. Candidates must be able to engage with this material professionally and sustainably. Support resources are available. ABOUT HANDSHAKE AI Handshake AI partners with leading AI research labs to make models safer and more robust. Our red teaming operations help identify vulnerabilities before they reach users, contributing directly to the responsible development of frontier AI systems. California eligibility: We are unable to hire candidates residing in California for this role.
Infrastructure Engineer (Platform) - Paris
About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential. H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Team: The Infrastructure team aims to make it seamless for our researchers and engineers to access and use the infrastructure they need to do their job. The team also ensures the underlying infrastructure for our public services is robust, reliable and scalable. Members of the Infra team are uniquely positioned to impact all areas of H, from building everything from our foundational models to our agents, all the way to our public services. Key Responsibilities: - Designing and managing the infrastructure to support - Research efforts in Model and Agent development incl. training infrastructure, data pipelines and inference. - Product Engineering efforts on H Company’s agent platform including client-facing APIs and agent runtimes within various deployment scenarios (multi-tenant and on-prem). - Setup and maintain observability and monitoring strategies. Requirements: - MUST HAVE - Observability and monitoring (Datadog, Prometheus, Grafana, …) - Good knowledge of a modern programming language (ideally Python or JS/Typescript) - NICE TO HAVE - ML Ops or Data Engineering - Experience architecting and deploying distributed systems on public cloud (AWS, Azure, GCP) - Containerization and orchestration tools (Docker, Kubernetes, …) - Infrastructure as code (CDK, Terraform, ...) - CICD management experience (Github Actions, Gitlab CI, TeamCity, ...). Location: - Paris or London. - This role is hybrid, and you are expected to be in the office 3 days a week on average. What We Offer: - Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups - Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment - Enjoy a competitive salary - Unlock opportunities for professional growth, continuous learning, and career development If you want to change the status quo in AI, join us.
Infrastructure Engineer (Platform) - London
About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential. H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Team: The Infrastructure team aims to make it seamless for our researchers and engineers to access and use the infrastructure they need to do their job. The team also ensures the underlying infrastructure for our public services is robust, reliable and scalable. Members of the Infra team are uniquely positioned to impact all areas of H, from building everything from our foundational models to our agents, all the way to our public services. Key Responsibilities: - Designing and managing the infrastructure to support - Research efforts in Model and Agent development incl. training infrastructure, data pipelines and inference. - Product Engineering efforts on H Company’s agent platform including client-facing APIs and agent runtimes within various deployment scenarios (multi-tenant and on-prem). - Setup and maintain observability and monitoring strategies. Requirements: - MUST HAVE - Observability and monitoring (Datadog, Prometheus, Grafana, …) - Good knowledge of a modern programming language (ideally Python or JS/Typescript) - NICE TO HAVE - ML Ops or Data Engineering - Experience architecting and deploying distributed systems on public cloud (AWS, Azure, GCP) - Containerization and orchestration tools (Docker, Kubernetes, …) - Infrastructure as code (CDK, Terraform, ...) - CICD management experience (Github Actions, Gitlab CI, TeamCity, ...). Location: - Paris or London. - This role is hybrid, and you are expected to be in the office 3 days a week on average. What We Offer: - Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups - Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment - Enjoy a competitive salary - Unlock opportunities for professional growth, continuous learning, and career development If you want to change the status quo in AI, join us.
Research Engineer
RESEARCH ENGINEER Greptile is an AI code reviewer that catches bugs and anti-patterns in pull requests with complete context of the codebase. Hundreds of top software companies, from YC startups to big tech, and teams in finance, healthcare, and defense, use Greptile to merge PRs faster and catch more bugs. Greptile reviews 5B lines of code every month for 22,000+ customers. A new repo starts using Greptile every 2 minutes. We also uniquely offer self-hosted, air-gapped deployments for enterprises across defense, financial services, and healthcare. We care more about hiring great people than filling specific slots, and everyone here wears multiple hats. The day-to-day for any given person tends to span more than one area. PROBLEMS WE’RE EXCITED ABOUT - Coding standards can be idiosyncratic and are often poorly documented; can we build agents that learn them through osmosis like a new hire might? - Can we identify for each customer what types of PR feedback they do and don’t care about, perhaps using some sample efficient RL, in order to increase signal-to-noise ratio? - Some bugs are best caught by running the code, potentially against discerning AI-generated E2E tests. Can we autonomously deploy feature branches and use agents to parallel try to break the application to detect bugs? TRAJECTORY - 22,000+ customers - 5B lines of code reviewed every month - Scaled from $0 to eight figures in ARR - Raised $30M from Benchmark, Y Combinator, Paul Graham, and Initialized TEAM - We have assembled a small, talent dense team who have scaled critical functions at companies like Stripe, Google, Figma, etc. RESPONSIBILITIES - Experiment with and apply the latest advances in agents and language models to push the performance and capabilities of our products - Design and build the multi-agent systems, harnesses, models, and evals that power code validation - Example: you might study multi-agent architectures, prototype and evaluate a multi-agent code review workflow, and then work with a team to integrate successful prototypes into production systems - Stay on top of the latest research across LLMs, information retrieval, and developer tooling QUALIFICATIONS - B.S. in Computer Science or equivalent - Research experience in math, computer science, or physics - Strong programming skills and sharp product intuition - Bonus: research experience with ML, language models, or agents; papers accepted at top ML conferences; your own harnesses and evals for technical applications; experience post-training models; or a research master’s or PhD YOU’LL LIKE WORKING HERE IF - You want to work on a product that thousands of developers rely on - The chaos of high growth and things breaking is exciting to you - You like being in an office every day around other smart people building hard things - You love solving hard problems and shipping things that real users feel - You’re AI-enthusiastic, you hack on side projects, you write a blog (technical or not), and you’re excited about what you’re building.
Sourcing Manager - AI Infrastructure
About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Sourcing Manager – AI Infrastructure to lead strategic sourcing activities across key infrastructure technologies supporting Graphcore’s AI compute platforms. Reporting into the Global Sourcing Management team, this role will partner closely with Engineering, Product, Operations, Manufacturing, and Supply Chain teams to develop sourcing strategies, manage supplier relationships, negotiate commercial agreements, and ensure resilient supply for critical infrastructure components. The successful candidate will combine strong commercial acumen with a solid understanding of AI infrastructure technologies, enabling effective engagement with suppliers and technical stakeholders while balancing cost, quality, delivery, scalability, and risk objectives. This role draws upon leading practices from AI infrastructure sourcing environments while aligning with Graphcore’s strategic sourcing model. The Team The Global Sourcing Management (GSM) team defines and executes supplier strategies across Graphcore’s hardware and infrastructure ecosystem. The team works closely with Engineering, Product Management, Operations, Manufacturing, and Supply Chain functions to establish strategic supplier partnerships that support technology development, infrastructure deployment, operational excellence, and long-term business growth. The team is responsible for ensuring Graphcore has access to the technologies, manufacturing capabilities, and supply capacity required to support current and future business needs. Responsibilities and Duties - Own sourcing strategy development and execution for assigned AI infrastructure commodities and suppliers. - Lead end-to-end sourcing activities including supplier identification, qualification, RFQ/RFP management, commercial evaluation, supplier selection, and contract negotiation. - Develop and maintain strong supplier relationships, driving performance across cost, quality, delivery, capacity, and responsiveness. - Partner closely with Engineering and Product teams to understand technical requirements and align sourcing decisions with product and infrastructure objectives. - Evaluate supplier capabilities, technology roadmaps, manufacturing readiness, and scalability to support business growth. - Lead commercial negotiations for pricing, supply agreements, capacity reservations, development activities, and long-term strategic partnerships. - Build and maintain cost models, benchmark analyses, and total cost of ownership assessments to support sourcing decisions. - Drive supplier performance management through regular business reviews, scorecards, corrective action plans, and continuous improvement initiatives. - Identify and mitigate supply chain risks through market intelligence, supplier diversification, contingency planning, and business continuity strategies. - Monitor industry trends, supplier landscapes, component availability, and market dynamics to inform sourcing strategies and procurement decisions. - Collaborate with Legal, Finance, Quality, Operations, and Manufacturing teams to ensure sourcing activities support business objectives and compliance requirements. - Provide regular reporting and recommendations to leadership regarding supplier performance, commercial opportunities, sourcing risks, and mitigation plans. Candidate Profile Essential - Bachelor’s degree or equivalent experience in Engineering, Supply Chain, Operations, Business, or a related subject area. - Experience in strategic sourcing, procurement, supplier management, or supply chain roles within technology, infrastructure, electronics, or hardware-focused environments. - Knowledge of AI infrastructure, high-performance computing, servers, networking, storage technologies, or related hardware ecosystems. - Demonstrated experience leading supplier negotiations, commercial agreements, and sourcing projects. - Strong analytical and commercial skills, including cost modelling, pricing analysis, and total cost of ownership methodologies. - Experience managing supplier performance and driving measurable improvements in cost, quality, delivery, and supply continuity. - Ability to assess technical requirements and collaborate effectively with engineering and product development teams. - Strong project management skills with the ability to manage multiple priorities in a fast-paced environment. - Excellent communication, stakeholder management, and influencing skills. - Proficiency with Microsoft Office applications, including Excel and PowerPoint. Desirable - Experience sourcing infrastructure hardware, compute platforms, servers, networking equipment, storage systems, PCBAs, or related technologies. - Familiarity with global supplier ecosystems across North America, Europe, and Asia. - Experience supporting data center, cloud infrastructure, AI infrastructure, or high-performance computing deployments. - Understanding of manufacturing processes, supplier industrialization, and new product introduction activities. - Experience developing supplier risk management, resiliency, and business continuity programmes. - Knowledge of responsible sourcing and sustainability considerations within technology supply chains. In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Senior Software Engineer - AI Compute Libraries &...
About the job Build the compute kernels that make next-generation AI hardware perform at its limit. As a Senior Software Engineer, you will create high-performance AI compute libraries for Graphcore’s next-generation hardware. Your work will sit close to the hardware, where every design choice matters. You will own kernels for linear algebra and tensor operations, including GEMM, convolutions, reductions and fused operations. You will improve performance, correctness and numerical reliability across critical AI workloads. This role is for engineers who enjoy hard performance problems and care deeply about quality. You will help shape software that enables customers to get more from AI hardware. The team and culture You will join the ML Kernels and Runtime team, an expanding group focused on high-performance compute libraries. The team works close to the hardware and close to the product. Work happens through clear ownership, practical decision-making and fast technical feedback. Engineers profile, test, debug and improve the product with accountability for real outcomes. You will be expected to speak up, share knowledge and help others raise the bar. Mentoring, technical judgement and all-round leadership matter here Responsibilities and Duties - Design and implement kernels for linear algebra and tensor ops (GEMM, batched GEMM, convolutions, reductions, elementwise and fused operations) in C++ - Own performance and correctness - add microbenchmarks, regression tests, numerics validation - Profile and optimise across for next generation of AI hardware - threading, cache locality, memory layout, and kernel launch efficiency. - Debug issues, resolve bugs and generally improve the quality and functionality of the product - Actively engage in and support Agile ways of working within the team - Mentor colleagues within the team, sharing knowledge and providing guidance where appropriate Candidate Profile Essential - Excellent programming and scripting skills using C++ and Python - Understanding of processor architectures and profiling on Linux - Possess excellent written and oral communication skills, good work ethics, high sense of team-work - Love to produce quality work and be a team player Desirable - Strong command of algorithmic performance - vectorisation, memory hierarchy, threading, lock-free patterns - Hands-on with at least one BLAS/DNN stack and able to read/extend kernels - Comfort with CPU micro-optimisations and numerical stability/trade-offs across FP32/FP16/BF16/FP8 - Experience integrating native code into PyTorch or similar (custom ops, extensions, dispatch keys) - ABI/API stability and packaging for Linux system ( manylinux , wheels) Benefits · Unlimited annual leave · Up to 5% matched pension · Phantom equity – share in Graphcore’s success · True flexibility in how and where you work · Office spaces designed for collaboration · Free food and an on-site barista · Health cash plan · Income protection · Life assurance · Along with other benefits you can choose from (private medical insurance, dental plan etc) We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Join the team at Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. If you want to shape the compute libraries behind next-generation AI hardware, we’d love to hear from you. Apply now to help build what comes next.
Infrastructure and MLOps Engineer
About Graphcore At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence . Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems The Team The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. Responsibilities and Duties - Develop, own, and maintain tools and services to support AI research and engineering teams - Deploy and maintain services with Kubernetes and Docker - Manage our Cloud Infrastructure using tools such as Terraform Candidate Profile Essential: - Knowledge of Python - Familiarity with cloud services (e.g. AWS) - Experience managing or developing in Linux environments - Understanding of CI/CD principles - Experience using Kubernetes (k8s) - Experience of one of the following: - maintaining machine learning applications. - deploying ML orchestration tools (e.g. NV Ray, KFP, SkyPilot). - managing ML accelerator hardware (e.g. DCGM). Desirable - Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) - Experience with GitHub Actions - Experience with modern observability tooling (e.g. Prometheus) - Experience with Grafana - Knowledge of Go/Java/C++ (or similar language) Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
AI Engineer
Hey! We're team Granola 👋 If you haven't already, you should check out what we're building https://www.granola.ai/, and why you should work here https://www.granola.ai/jobs. We are looking for a self-starting engineer, passionate about applying the latest advancements in LLMs to create user-centric products. In this role, you will stay on top of the latest LLM trends, build evaluation frameworks for AI features, and apply your knowledge with a product-oriented focus. You will be an integral part of the founding team, interacting directly with users to understand their needs and rapidly developing features that deliver significant value. Your work will be pivotal in scaling Granola to its next 100x growth milestone. In this role, you will: - Own the development and application of LLM-based features end-to-end - Build and maintain evaluation frameworks for prompt iteration and semantic retrieval - Optimize embeddings and vector stores for performance and scalability - Interact with users to understand their problems and design solutions - Stay up-to-date with the latest trends in LLMs and applied AI practices - Collaborate with a cross-functional team of engineers, product managers, designers, and other members to create a cutting-edge product Your background looks something like: - Engineering experience at tech and product-driven companies - Shipping multi-provider LLM-based solutions to production (using e.g. OpenAI, Anthropic, Google, etc.) - Proficiency with LLM infra platforms (prompt management, logging/tracing, evals) - Experience designing large-context LLM systems (RAG, knowledge graphs, hybrid search, memory) - Building features end-to-end with TypeScript, React.js, and Node.js As a person, you… - Are first and foremost a builder. - Are excited to work in-person from our office in London (most of the time) - Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase) - Want to be at the cutting edge of building world-class products on top of language models - Are fascinated by LLMs. You love to play with them, figure out what makes them tick and get them to do what you want. You scour the web and reddit for others doing the same (you probably follow @goodside on twitter) - Value working with people who are kind, ambitious and pragmatic About the opportunity We are living in the most exciting time for tool builders since Engelbart's demo https://en.wikipedia.org/wiki/The_Mother_of_All_Demos in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity. We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us. Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.
VP, Growth Marketing
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is seeking a strategic, data-driven, and execution-oriented VP of Growth Marketing to lead our global growth engine across Demand Generation, Digital, Field Marketing, and Partner Marketing—and to shape the future of demand generation for an AI-native company navigating an ever-evolving market. You will own how Marketing turns spend, programs, and team execution into measurable pipeline and revenue outcomes for Glean’s Enterprise AI platform, partnering closely with Sales, SDRs, Product Marketing, Corp Marketing, Customer Marketing, RevOps, and Executive leadership to set growth priorities, allocate investment, improve conversion, and scale what works. This is a highly visible leadership role for a leader who can operate strategically while remaining close to execution—setting the annual growth plan, designing the operating model for pipeline creation and conversion, rigorously evaluating performance, coaching a high-performing team, and stepping in directly when a launch, funnel challenge, or major growth initiative requires hands-on leadership. You will sit at the center of Glean’s go-to-market motion, helping establish Glean as the category-defining AI platform by building a predictable, AI-first demand engine that fuels new-logo growth and expansion across our customer base. You will: - Own Glean's growth marketing strategy and execution, leading demand generation, digital, ABM, field marketing, partner marketing, and integrated campaigns with accountability for pipeline, revenue, and ARR growth. - Serve as a core member of the executive go-to-market leadership team, partnering closely with Sales, SDR, Product, Partnerships, Customer Success, Finance, and RevOps to shape GTM strategy and accelerate company growth. - Build and scale a world-class growth engine that consistently delivers predictable, efficient pipeline across Enterprise, Commercial, and Global markets. - Translate company growth objectives into marketing strategy, investment priorities, operating plans, and measurable business outcomes across segments, regions, and channels. - Lead, coach, and inspire a high-performing team across demand generation, digital marketing, ABM, field marketing, partner marketing, and campaign strategy, fostering a culture of ownership, experimentation, and operational excellence. - Architect integrated go-to-market programs that connect product launches, thought leadership, digital, events, field marketing, partner ecosystems, and ABM into a scalable growth engine. - Champion an AI-first marketing organization by embedding AI into campaign planning, content creation, experimentation, personalization, reporting, and operational workflows—making Glean the showcase for modern AI-powered marketing. - Build the operating cadence that aligns executive leadership around pipeline health, forecast accuracy, investment decisions, campaign performance, and continuous optimization. About you: - 12+ years of B2B SaaS or enterprise technology marketing experience, with leadership responsibility for growth, demand generation, or revenue marketing supporting enterprise sales. - Proven track record of building and scaling growth engines that deliver predictable pipeline, revenue, and ROI through integrated digital, ABM, field, partner, and lifecycle marketing. - Strong business and analytical acumen, with expertise in forecasting, attribution, funnel optimization, investment planning, and marketing performance measurement. - Experienced people leader who has built and developed high-performing teams and leaders, creating a culture of accountability, experimentation, and operational excellence. - Executive-level communicator with the ability to influence cross-functional stakeholders, translate data into strategic decisions, and align teams around shared business goals. - Thrives in fast-paced, high-growth environments, bringing structure to ambiguity while balancing speed, rigor, and continuous experimentation. - AI-first mindset, with hands-on experience leveraging AI to improve marketing execution, personalization, analytics, and team productivity. Location: - This role is hybrid (4 days a week in our Mountain View office) Compensation & Benefits: The standard base salary range for this position is $311,000 - $355,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.
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