
Legora · New York City
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 exce...
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.
1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and
Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through
acquisitions including Qura, Walter AI and Graceview.
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.
Mission before ego. Everyone contributes. No one coasts.
If you’re driven by impact, pace, and raising the bar. This is the place.
When an issue is too deep for any other tier, it comes to you. You are Legora's final technical authority on how the platform
behaves in the real world, not just how it is specced to behave. In legal AI, that gap matters: a platform that behaves
differently than promised is not just a bug report, it is a risk to a client's matter, their deadline, or their trust in the
product. Your edge is investigative judgment and platform mastery, not writing code: you close the gap between what the product
promises and what customers experience, before and after it ships. This is a parallel technical-authority seat working hand in
hand with Product Operations, without the software development scope of an engineer.
rigorous log, data, and system-level analysis.
diverges from the spec, pressure-test workflows under real conditions, and deliver findings to Product Operations with clear
reproduction steps before they become customer-facing incidents.
response before volume makes the pattern undeniable. Own the signal that turns a cluster of cases into a declared Sev1 or Sev2
incident.
quality, document processing, and anomalous output.
reviews, release planning, and engineering discussions. Surface what the support tiers see that Product Operations does not,
and advocate for the diagnostic tooling, observability improvements, and platform fixes that make the function faster and the
product more reliable.
events, owning real-time diagnosis, Engineering liaison, and the technical path to resolution while the PPA holds customer
coordination. Hand confirmed defects to Product Operations with clean reproduction steps and impact assessment.
escalation trends back into product and process improvements, partnering with Product Operations to close the loop.
requirements outside the standard schedule. We will communicate any such requirements as early as practicable.
conversations and translate field patterns into product arguments that land.
losing rigor on the technical investigation.
names first.
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.
MongoDB is seeking a Senior Software Engineer to join the Atlas Clusters Platform team in NYC. The team is responsible for building MongoDB Atlas, our database-as-a-service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. The team develops software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all MongoDB customers. We are looking to speak to candidates who are based in the NYC area and would like a hybrid or in-office working model. WHAT YOU’LL DO * Build and design new features for MongoDB Atlas * Contribute to and lead complex technical projects * Work with stakeholders throughout MongoDB to build our roadmap and product offerings * Work with customers and support engineers to fix issues and become part of our on-call rotation * Collaborate with team members to develop our codebase, best practices, and design principles * Foster an inclusive and respectful work environment according to MongoDB's Core Values WE’RE LOOKING FOR SOMEONE WHO * Has at least 6 years of professional software development experience * Is skilled at writing large-scale, distributed backend systems in a compiled language (Go, Java, C#, etc.) * Has experience with at least one major cloud provider technology (AWS, Azure, GCP) * Has led the launch of a new module and maintained it in production * Is eager to solve tough problems * Has excellent communication skills * Is curious, collaborative, and motivated SUCCESS MEASURES * In 3 months, you'll have shipped code into production and collaborated with the team to solve tough problems * In 6 months, you'll have contributed to a large project and joined our on-call rotation * In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. REQ ID: 2273430494 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $126,000—$248,000 USD
P-1607 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks. The impact you'll have: * Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency * Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth * Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences * Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities * Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers * Define and drive the strategy for building end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant. What we look for: * 10+ years of experience with HTML, CSS, and JavaScript * Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback. * You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app * High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption. * Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives. * Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember) * 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go) * Proven experience building and shipping end-to-end generative AI products, ideally with a significant UI/UX component * Proven experience building and shipping end-to-end generative AI products * Deep familiarity with LLMs and generative AI, including hands-on experience with techniques like retrieval-augmented generation (RAG), prompt design, evaluation, and monitoring AI quality and safety in production. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $190,900—$253,750 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
P-1980 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks. The impact you’ll have: * Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency * Partner closely with product management, design and other engineering teams to build intuitive and extensible products that drive user & business growth * Lead by example with hands-on front-end and full-stack software development while working with customers directly to create dynamic, user-centric experiences * Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities * Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers What we look for: * 10 years of experience with HTML, CSS, and JavaScript or similar technologies * Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback. * You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app * High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption. * Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives. * Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember) * Familiarity with server-side web technologies (eg Node.js or similar), SQL and Spark Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $190,900—$253,750 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.