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Corporate Security Engineer
ABOUT US Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 2,100+ customers across 80+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $200M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI, Graceview, Cadastral, and Wexler. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. - We lean in: ownership over titles, outcomes over intentions. - We fight for excellence: high standards, direct, ego-free feedback. - We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. ABOUT THE TEAM The IT and AI Enablement function exists to make Legora itself run as well as the product we sell: secure, automated, and compounding over time. Legora builds AI that law firms trust with their most sensitive work, which makes us a target for capable, well-resourced adversaries. Information Security keeps that trust intact, builders-first and AI-first: we ship controls as software and let agents take the first pass, so the human work is the judgment layer. We are not looking for someone to administer consoles and work a compliance checklist. The Corporate Security Engineer owns the security of Legora’s own environment — the identities, devices, SaaS, and AI tools every employee depends on — the operating root of trust the rest of the company connects through. WHAT YOU’LL BE DOING - Own non-human identity — the service accounts, agents, and workloads that scale faster than headcount. Keep them inventoried and owned, scoped tightly, running on short-lived and secretless credentials, with a path to revoke at scale. - Set the authorization model for agents — scoped, revocable, and auditable: least-privilege at each MCP call, no token passthrough, and delegated authority rather than standing access. - Secure how Legora uses AI — govern employee use of LLMs and agents, keep client data on sanctioned paths, and make the safe path the fast one as teams adopt AI. - Advance identity for people — phishing-resistant MFA (passkeys / FIDO2), SSO, SCIM lifecycle, and least-privilege / just-in-time access across Google Workspace, Slack, Notion, and the SaaS estate — and cover the attack classes that defeat MFA alone — session / token theft, adversary-in-the-middle phishing, OAuth consent abuse — with continuous access evaluation to revoke live sessions on risk. - Raise the bar on SaaS security posture (SSPM) — configurations held to clear benchmarks, and risky OAuth grants, over-permissioned or stale admins, shadow SaaS / AI, and config drift surfaced continuously — the technical lens on the portfolio the SaaS Enablement & Governance Lead holds the system of record for. - Own endpoint and device trust — an Apple-first fleet on MDM and EDR, with access gated on device health via zero-trust / conditional access, partnering with IT Systems and Workplace Technology, who run the fleet and network. - Own data-protection controls (DLP) across endpoint, SaaS, browser, and AI-egress, run access reviews, and surface insider-risk signals to Detection & Response for investigation with People and Legal. - Build controls and guardrails as code (Python + Terraform / IaC) so security scales, tracked against agent-identity and MFA coverage, risky OAuth grants closed, and mean time to remediate and revoke. WHO YOU ARE - 4+ years in corporate, enterprise, or IT security, with full ownership of security decisions and scope end to end. - A builder first — you write production-grade code (Python at least) and treat controls, automations, and detections as software you own, not tickets you close. - AI-first by conviction — you already reach for agents and LLMs (Claude Code and the like) to compress toil, and you have a clear view on where they’re trustworthy and where a human owns the call. Show us something you automated that used to eat your week. - Identity-, SaaS-, and AI-centric in how you think about security — the modern attack surface (identity as the new perimeter, the SaaS estate, endpoints, and the AI tools employees use), not network-perimeter or compliance-checklist. - Fluent with modern identity — an enterprise IdP (Okta and/or Microsoft Entra ID) and Google Workspace, SSO and SCIM lifecycle, phishing-resistant MFA, and the protocols underneath (SAML, OAuth 2.0, OIDC). - Energised by the threat model — you find it motivating, not daunting, that securing an AI company law firms trust with their most sensitive work means well-resourced adversaries and novel attack surface. NICE TO HAVE - Securing AI systems — prompt-injection and exfiltration detection, agent / tool-use telemetry, and the OWASP LLM Top 10. - Identity threat detection (ITDR) and SaaS-identity tooling — Okta / Microsoft Entra ID Protection and e.g. Push Security. - Non-human identity and secrets — service-account governance, workload identity, and secrets management (e.g. 1Password, HashiCorp Vault). - Agent authorization — delegated authority and short-lived, narrowly-scoped tokens (OAuth token exchange / identity chaining), and MCP enterprise-managed authorization. - Endpoint at scale — Jamf (Apple) and Intune (Windows), with modern EDR. - Security automation and guardrails-as-code — deterministic workflows and SOAR (e.g. Tines, Torq). - DLP and insider-risk tooling — modern data-loss prevention and UEBA. - SOC 2 / ISO 27001 control implementation and compliance-as-code alongside engineering — GRC owns the certifications, you build and evidence the technical controls. - Experience with Okta, Microsoft Entra ID, 1Password, CrowdStrike, Jamf, Lumos, and our AI-native ITSM (Serval). WHAT’S IN IT FOR YOU - Global collaboration: Partner with teams and clients across Europe, APAC, and North America. - Competitive package: Comprehensive salary, benefits, and tools for success. - Meaningful work: Your efforts shape how thousands of lawyers use AI daily. - In-person environment: Union Square office designed for ambitious builders and company provided lunch daily. - Benefits & Perks: We invest in our people with a comprehensive, thoughtfully designed benefits package: Medical, Dental & Vision - Multiple medical plan options through Aetna and Kaiser Permanente - HSA or Healthcare FSA (based on plan selection) - Dental plans via MetLife - Vision plans via Vision Care Family Support - Generous parental leave - Free access to Maven Clinic - Dependent Care FSA - Free One Medical membership for employees and dependents Additional Perks - Pre-tax commuter benefits - Life Insurance + STD/LTD - 401(K) with generous company match - Unlimited PTO - Robust voluntary benefits, including identity protection (via Aura), legal coverage via MetLife, pet savings programs, and more Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.
SaaS Enablement & Governance Lead
ABOUT US Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 2,100+ customers across 80+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $200M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI, Graceview, Cadastral, and Wexler. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. - We lean in: ownership over titles, outcomes over intentions. - We fight for excellence: high standards, direct, ego-free feedback. - We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. THE ROLE We are hiring our first SaaS Enablement & Governance Lead to own the lifecycle of Legora's entire SaaS and AI portfolio, from enterprise platforms down to the tail of team-level and expensed purchases: intake, renewal, decommissioning, and everything between. You'll be based in our New York office, reporting to the Head of IT. Procurement works the strategic head of spend. This role is the oversight layer across all of it: the ~90% of applications that never reach a sourcing process are where risk and sprawl accumulate, and they are yours. We build AI for lawyers, and we hold our own software estate to the bar our customers hold us to. You'll partner with FP&A, Procurement, and Security, and run the function the way an AI-native company should: agents and automation do the repetitive work, your time goes to judgment. Whether that runs on a commercial platform or tooling you build with LLMs and agents is your call to make and defend. What You'll Do Software & AI asset management - Own the single source of truth for every SaaS and AI application: licenses, entitlements, owners, integrations, and dependencies, kept current by automated discovery. Security's supply-chain-risk program builds its dependency and criticality map from this record, one inventory, two lenses. - Track utilization against entitlements, reclaim inactive and duplicate licenses, and rightsize the portfolio against explicit cost-avoidance targets. - Hunt down shadow IT and shadow AI, expense-report purchases, self-serve signups, free-tier tools, and bring each one under management with an owner, a risk posture, and a renewal date. - Manage usage- and token-based pricing, and forecast the volatile AI spend that per-seat license counts miss. AI tool governance - Own the commercial and governance substrate for AI tools, the sanctioned-vs-restricted catalog, licensing, and spend. AI Enablement drives adoption and training; Corporate Security enforces the technical guardrails. - Enforce AI vendor terms commercially, training-on-data, data retention, confidentiality, and model-change clauses in contracts and renewals, with risk and compliance review owned by Security and Legal. - Build agentic workflows for the function itself (discovery, license reclamation, renewal tracking, provisioning), with a human in the loop where judgment demands it. Anything manual twice a quarter gets automated. Vendor management - Own software and SaaS vendor relationships as an engineering-level partner: roadmap input, escalations, SLAs, and performance reviews. (Hardware, AV, and physical-site vendors sit with Workplace Technology.) - Build and run a single front door for software and AI requests: paved paths that encode security, privacy, and spend policy, so the sanctioned route is also the fastest one. Risk assessment routes to Security's supply-chain-risk program, whose requirements gate adoption. Renewals, cost optimization & FinOps - Own the renewals calendar across the full portfolio; forecast and surface renewals well ahead of deadlines so nothing auto-renews by default. - Partner with Procurement on strategic, high-spend negotiations; own commercial terms and true-ups across the long tail yourself. - Run FinOps for software and AI spend: consolidate overlapping tools, retire what isn't used, and execute decommissioning, contract wind-down, license teardown, access removal, with Security verifying risk closure on critical vendors. Configuration, integration & identity - Manage SaaS configuration as code where possible, auditable and version-controlled, remediating operational drift, with security posture findings owned by Corporate Security. - Build integrations against SaaS APIs where they serve the governance loop: discovery, utilization data, reclamation, and provisioning. - Onboard every application to SSO and SCIM as part of intake, and drive license reclamation from joiner/mover/leaver signals, on the identity platform Corporate Security owns, supplying the data for access reviews that Security runs. Governance, security, compliance & reporting - Own SaaS-related SOC 2 evidence and third-party application governance as the system owner. - Report utilization, savings, renewal pipeline, AI spend, and compliance to IT leadership and Finance, one number set that FP&A, Procurement, and Security all work from. What You Bring - 5+ years in software/SaaS asset management, IT vendor management, business systems, IT/enterprise applications, or IT procurement, with clear ownership of license and vendor work. - Cost optimization: a track record of license rightsizing, renewal negotiation, tool consolidation, and measurable savings. - Commercial fluency: comfortable owning negotiations and reading licensing models, including consumption/usage-based and AI pricing, true-ups, and contract terms. - Portfolio tooling: has run SaaS discovery, utilization, and license management at scale (commercial platform, pipelines they built, or both), with grounded opinions on when to buy and when to build. - Automation & integration: builds with LLM/agent workflows, iPaaS, and scripts against SaaS APIs (e.g., Python), and uses AI tools daily in their own work. - Identity governance: SSO/SAML/OIDC and SCIM (Okta or Entra) and how access drives license consumption. - AI-era judgment: has evaluated and governed AI tools and can read AI-vendor data terms. - Analytical & cross-functional: builds utilization and forecast models, and partners credibly with Finance, Procurement, Security, and tool owners. Nice to have - Experience at a legal, financial, or otherwise regulated / high-trust company. - Has stood up a FinOps practice; exposure to procurement and finance systems (Zip, Coupa, NetSuite, Workday/Adaptive). - Built process and tooling from scratch at a fast-scaling company. - Certifications: ITIL, FinOps Certified Practitioner, or ServiceNow CIS-SAM. WHAT’S IN IT FOR YOU - Global collaboration: Partner with teams and clients across Europe, APAC, and North America. - Competitive package: Comprehensive salary, benefits, and tools for success. - Meaningful work: Your efforts shape how thousands of lawyers use AI daily. - In-person environment: Union Square office designed for ambitious builders and company provided lunch daily. - Benefits & Perks: We invest in our people with a comprehensive, thoughtfully designed benefits package: Medical, Dental & Vision - Multiple medical plan options through Aetna and Kaiser Permanente - HSA or Healthcare FSA (based on plan selection) - Dental plans via MetLife - Vision plans via Vision Care Family Support - Generous parental leave - Free access to Maven Clinic - Dependent Care FSA - Free One Medical membership for employees and dependents Additional Perks - Pre-tax commuter benefits - Life Insurance + STD/LTD - 401(K) with generous company match - Unlimited PTO - Robust voluntary benefits, including identity protection (via Aura), legal coverage via MetLife, pet savings programs, and more Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.
GRC Engineer
ABOUT US Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 2,100+ customers across 80+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $200M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI, Graceview, Cadastral, and Wexler. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. - We lean in: ownership over titles, outcomes over intentions. - We fight for excellence: high standards, direct, ego-free feedback. - We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. ABOUT THE ROLE You will build the platform Legora’s assurance program runs on: pipelines that collect evidence continuously, checks that enforce policy in CI/CD, and agents that test controls and draft audit responses. The GRC Lead owns the program and the judgment calls; you own the machinery that turns certifications into an output of normal operations. You will sit in the Security organization and work daily with the GRC Lead, Engineering, and Corporate Security. This is an engineering seat with a compliance domain, and it exists because we sell AI agents to law firms: proving how our systems behave is part of the product. WHAT YOU’LL DO Evidence & controls platform - Build the pipelines and integrations that aggregate control, asset, and identity data across our stack (cloud, IdP, HRIS, source control, CI/CD) and turn it into automated checks, live dashboards, and audit evidence. - Implement the unified controls library so one control satisfies many frameworks, with evidence collected once and mapped everywhere. - Ingest from what partners already own — Corporate Security’s technical controls, the SaaS portfolio’s system of record — rather than building parallel collectors; system owners keep their evidence, your platform makes it audit-ready. - Build the technical evidence base for our AI certifications (ISO/IEC 42001 and emerging AI-agent assurance standards): agent action logging, evaluation evidence, tool-call restrictions, and failure-mode documentation, working with Product and Engineering. Continuous assurance & agentic workflows - Translate written policies and regulatory requirements into enforceable rules: automated checks in CI/CD and infrastructure deployment, continuous controls monitoring, and drift alerts routed to owners. - Instrument control effectiveness so the GRC Lead reports risk posture from live data. - Design and run agentic workflows for evidence analysis, control testing, and audit response preparation, with a human in the loop where assurance demands it. Anything manual twice a quarter gets automated. WHAT WE’RE LOOKING FOR - 6-8+ years spanning software or automation engineering and security compliance — an engineer who learned GRC, or a GRC operator who became a builder. - Production-grade scripting (Python or similar) against APIs — code you ship and own. - Hands-on experience building LLM/agent workflows and daily use of AI in your own work, with grounded judgment on what to delegate to agents, what needs a human, and how to evidence both to an auditor. - Enough GRC domain fluency to work inside SOC 2 / ISO 27001 control language and know what an auditor will accept as evidence. - Clear technical writing — your evidence and documentation will be read by auditors and customer security teams. NICE TO HAVE - Experience with compliance platform APIs and when to build past them. - OSCAL or other machine-readable control/catalog formats. - Infrastructure-as-code (Terraform or similar) and CI/CD pipeline engineering. - Prior work on AI product assurance: evals, red-teaming evidence, or model/agent documentation. WHAT'S IN IT FOR YOU - Global collaboration: Partner with teams and clients across Europe, APAC, and North America. - Competitive package: Comprehensive salary, benefits, and tools for success. - Meaningful work: Your efforts shape how thousands of lawyers use AI daily. - In-person environment: Union Square office designed for ambitious builders and company provided lunch daily. - Benefits & Perks: We invest in our people with a comprehensive, thoughtfully designed benefits package: Medical, Dental & Vision - Multiple medical plan options through Aetna and Kaiser Permanente - HSA or Healthcare FSA (based on plan selection) - Dental plans via MetLife - Vision plans via Vision Care Family Support - Generous parental leave - Free access to Maven Clinic - Dependent Care FSA - Free One Medical membership for employees and dependents Additional Perks - Pre-tax commuter benefits - Life Insurance + STD/LTD - 401(K) with generous company match - Unlimited PTO - Robust voluntary benefits, including identity protection (via Aura), legal coverage via MetLife, pet savings programs, and more Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.
Senior Data Scientist - Product
ABOUT US Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 2,100+ customers across 80+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $200M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI, Graceview, Cadastral, and Wexler. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. - We lean in: ownership over titles, outcomes over intentions. - We fight for excellence: high standards, direct, ego-free feedback. - We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The role As a Senior Data Scientist for Product at Legora you will turn data into decisions. You'll sit close to the business, taking questions end-to-end: shaping the metric, modelling the data in dbt, running the analysis, and making the recommendation. You'll pull in new data sources when you need to. Insights are useful; impact is what we hire for. We're an AI-first data team. We believe the data function should be redesigned around what AI now makes possible, not retrofitted with it, and we want someone excited to help define what that looks like in practice. There's no single profile we hire for. Some of us are strongest at data modelling and analytics engineering, some at experimentation and causal inference, some at machine learning, some at stakeholder influence. You'll likely be excellent at one or two of these and competent across the rest. That's the bar. We're a small, centralised team supporting the whole company, hiring for the person, not the seat. Depending on your strengths and where we have the biggest gap when you join, you could be embedded primarily with: - Product: instrumentation, feature adoption, user behaviour, A/B testing, shaping the roadmap with PMs and designers. - Finance & RevOps: ARR, NRR, forecasting, board reporting, pricing analytics across a 40-country footprint, and unit economics for an AI-native product. - Growth & Marketing: acquisition funnels, attribution, campaign measurement, lifecycle analytics, and what actually moves enterprise legal buyers. - GTM & Customer Success: pipeline analytics, customer health, expansion signals, and retention drivers in a category that didn't exist three years ago. You'll partner directly with leaders across Product, Engineering, Finance, and GTM, most of whom are unusually data-fluent and will happily open a SQL editor with you. Your work will directly influence how we prioritise, how we sell, how we price, and how we build. What you will be doing - Partner with stakeholders across Product, Finance, GTM, Growth, and beyond to translate ambiguous questions into structured analyses and clear recommendations. - Define the metrics that matter, design the experiments or analyses that test them, and measure the impact of what we ship. - Conduct deep-dive analyses on the questions that move the business, and proactively surface the questions nobody is asking yet. - Model the data you need for your work in dbt, pulling in new sources when necessary, and partner closely with data engineering on anything that needs to scale beyond your immediate use case. - Build dashboards and reporting that scale beyond you, so the company can answer its own questions where possible. - Help shape how the data team operates as we scale: standards, tooling, ways of working. What you'll need - Strong proficiency in SQL and Python. - Solid grasp of data modelling and what it takes to build analytical work that is reliable and trusted. - Excellent communication skills and the confidence to influence decisions through data storytelling, including pushing back when the data doesn't support what someone wants to do. - Genuine depth in at least one of the following, with competence across the rest and curiosity to grow: - Data modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service) - Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour) - Machine learning and applied data science (forecasting, prediction, segmentation, evaluation) - Product analytics and metric design (funnels, cohorts, adoption frameworks, North Star metrics) Nice to have - Experience in a product-led or SaaS environment, ideally B2B. - Hands-on experience with our stack: Snowflake, dbt, Hex, Dagster. - Prior experience as an early data hire at a fast-growing company, i.e. you've built the muscle, not inherited it. Most importantly, you are someone who - "Gets stuff done" and understands building a $10bn company isn't always glamorous and takes hard work and long hours. - Thrives in a fast-paced environment where the answers aren't always clear and processes are few. - Is genuinely domain-curious. You don't need to have worked on every part of a business, but you should be excited to. Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.
AI Engineer
ABOUT US Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 2,100+ customers across 80+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $200M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI, Graceview, Cadastral, and Wexler. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. - We lean in: ownership over titles, outcomes over intentions. - We fight for excellence: high standards, direct, ego-free feedback. - We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. THE TEAM AI Enablement makes Legora AI-native by default. We work across three streams in parallel: building internal agents and tools, equipping teams to build their own, and owning the standards, access and guardrails that let everyone move fast safely. We own the AI platforms and the internal products built on them. So far that includes Leya, an internal knowledge agent live in Slack that answers questions about Legora with cited sources and automates parts of our RFP and security questionnaire work. A structured, agent-readable knowledge base assembled from knowledge each domain continues to own, where agents propose changes and humans approve them. Leyf, a platform for internally built apps that lands anyone's app on shared infrastructure with guardrails scaled to how much damage it could do. And a Skills Hub, so that something one person works out becomes something the whole company can use rather than staying on their laptop. The team is small and the mandate is large. That is the job. WHAT MAKES THIS HARD Legora is an AI company of around a thousand people, most already fluent and on current tools. Internal AI here is not an adoption problem. Nobody needs convincing, which means there is nowhere to hide behind change management or training. If something we build is not used, it is because it was not good enough. Our colleagues know what good looks like and will not use something worse than what they think they could build themselves in an afternoon. So we ship things people genuinely want, and the foundations arrive with them. That constraint does not go away. The mandate is also larger than the team. The part no individual can do for themselves is the infrastructure, the access model and the architecture underneath, and getting that right across a company this size is the actual work. It does not come with a specification. WHAT YOU WILL DO You will take broad ownership of how AI works inside Legora and of the platforms we build to make it work. - Build internal agents, tools and platforms, and treat them as products rather than projects. Quality, reliability and whether they actually serve the business are yours, not someone else's - Take a broad goal, work out what is actually required, and break it into the work yourself - Own what you build end to end, from the architecture through to whether people use it and it holds up in production - Shape what we should build and in what order, and argue for it - Design the foundations: knowledge architecture, access and permissions, evaluation and monitoring, the guardrails that scale with risk - Work directly with the people who will use what you build, across the whole company, including the parts furthest from engineering WHO WE ARE LOOKING FOR - Strong engineering fundamentals. You build production systems, not prototypes that need someone else to finish them - Real depth with LLM-based systems. Agents, retrieval, evaluation, tool use. You know where these systems break and you design for it - Ownership by instinct. You do not wait for a specification. When the requirement is unclear or wrong, you say so and propose something better - Three kinds of understanding at once. Technical, domain and business. You can hold a conversation about architecture and a conversation about what the business actually needs, and connect them - Openness. You take feedback, build on other people's ideas, change your mind when the evidence moves, and push for the strongest outcome rather than the one you proposed first - Comfort with ambiguity. New team, fast growth, decisions that get revisited as we learn. That should sound appealing rather than annoying - TypeScript. It's what we work in, and where our shared patterns live - No aversion to infrastructure. We own ours, so Terraform and cloud providers are part of the work rather than someone else's problem - You work with code agents daily. Not as an experiment, as how you build Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.
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