AI Data Science & Analytics Jobs

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About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the TeamThe Agent Engineering team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleOn the Agent Engineering team, you’ll have complete ownership and autonomy in building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You’ll work directly with leaders across industries like finance, healthcare and hospitality, solving their users’ needs with reliable and intuitive AI agents.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges and builds elegant solutions that scale to millions of users.In this role, you willDesign and build AI agents that outperform human agents in managing complex customer interactions and driving customer retentionIdentify cross-customer trends that guide the evolution of Decagon’s agent building platform and research effortsExperiment with and run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customersYour background looks something like thisHave 2+ years of industry experience in software engineeringProficiency with Python, Typescript and asynchronous programmingA high degree of comfort digging into system failures within deep technology stacks using any tool necessaryEven betterPrior experience working with multi-modal modelsBenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$220K – $300K + Offers Equity

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Why you should join usTandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have:Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every day, is doubling doctor users every quarter, and is working with the largest biopharma companies in the world.An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time.Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators.Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.About the roleAs Strategic Legal Counsel at Tandem, you will help define and build our legal function — owning key areas of regulatory, commercial, and corporate risk while serving as a business-aligned leader driving company strategy. This is not a traditional legal role. You’ll bring high judgment, fast execution, and deep curiosity — constantly scanning for areas where legal strategy can accelerate growth, build defensibility, or eliminate friction.You’ll manage legal operations across the company, serve as the point of coordination for multiple outside counsel relationships, and help guide core decisions. You will be expected to use legal tools not just to protect the business, but to unlock new capabilities, accelerate execution, and influence how we grow.This is a demanding role, with a high level of autonomy and responsibility. You will be expected to “act like an owner” and commit yourself to Tandem’s success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.If you join, you will:Own and operationalize Tandem’s legal infrastructure — including contracting, compliance, regulatory posture, and corporate structureServe as the internal lead across a network of outside counsel, synthesizing input and driving high-confidence decisionsBuild scalable legal workflows that support commercial velocity and cross-functional execution across provider, pharma, vendor, and data relationshipsStay ahead of regulatory developments and industry shifts, turning risk into opportunity where possibleIdentify and help implement legal or structural changes that expand Tandem’s capabilities or unlock strategic advantagesLead company-critical projects where legal is only part of the equation — such as launching new services, structuring external partnerships, or building out new functionsPartner closely with our CEO and leadership team on company-wide priorities, including strategic initiatives, GTM support, and product expansionWe’ll be most excited if you have:6–15 years of legal experience, ideally with time spent both at a top-tier law firm and in-house at a high-growth companyFluency across commercial and regulatory domains — ideally including exposure to healthcare, life sciences, or similarly regulated sectorsA track record of navigating ambiguity, balancing risk with speed, and providing clear decision-making frameworksFamiliarity with managing outside counsel and distilling legal complexity into actionable recommendationsOperator mindset — you enjoy building, problem-solving, and contributing to business decisions directlyStrong written and verbal communication that allows you to be an effective participant in both internal debates and external relationshipsHigh NPS with your former teammatesThis is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.Working with usTandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:Commit to audacity. "Whether you think you can, or you think you can't – you're right.”Do the math. Be rigorous, assume nothing.Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose.Spit it out. Be direct, invite critique, avoid equivocation – we want right answers.Be demanding and supportive. Expect excellence from everyone and offer help to achieve it.Do what it takes to be number 1. We work hard to make sure we win.We provide competitive compensation with meaningful equity. Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay.We also provide rich benefits to ensure you can focus on creating impact:Fully covered medical, vision, and dental insurance.Memberships for One Medical, Talkspace, Teladoc, and Kindbody.Unlimited paid time off (PTO) and 16 weeks of parental leave.401K plan setup, FSA option, commuter benefits, and DashPass.Lunch at the office every day and Dinner at the office after 7 pm.Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Tandem 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.

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Why you should join usTandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have:Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every day, is doubling doctor users every quarter, and is working with the largest biopharma companies in the world.An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time.Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators.Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.About the roleAs Provider Growth Lead on our team, you will lead our go-to-market strategy with health systems, physician groups, and other provider organizations — and be ultimately accountable for network expansion. This role is critical to establishing Tandem as a core infrastructure partner to providers nationwide. You will architect and own our provider-facing sales motion, driving both near-term adoption and long-term strategic alignment. You will be responsible for high-priority relationships, enterprise sales execution, and building the foundation for a scalable team and repeatable playbook.We expect you to successfully onboard dozens of large provider organizations over the next 12 months and lay the groundwork for even faster growth beyond.This is a demanding role, with a high level of autonomy and responsibility. You will be expected to “act like an owner” and commit yourself to Tandem’s success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.If you join, you will:Become an expert in both Tandem’s full surface area and the structure, incentives, and dynamics of provider organizationsOwn our provider enterprise strategy — from market segmentation and GTM design to execution, team-building, and network activationPersonally lead high-stakes enterprise sales efforts, navigating multi-stakeholder decisions and setting the tone for long-term relationshipsPartner closely with product, legal, and compliance to align our offering with enterprise provider needs and ensure operational fitRecruit and lead a high-performance team, while continuing to personally close strategic dealsExplore, evaluate, and execute on new opportunities for the company, including strategic partnerships and new products and servicesWork closely with the rest of our team and CEO to make business decisions as we balance speed of growth and long-term profitabilityWe’ll be most excited if you have:5-10 years of experience in enterprise sales, BD, or partnerships with a proven track record of owning and closing complex dealsStrong familiarity with provider orgs — ideally having sold into them or worked in environments requiring clinical, IT, and legal navigationPrevious success building or scaling GTM teams at early-stage or high-growth companiesExecutive presence and fluency — able to engage senior leaders across functions and drive alignment in ambiguous environmentsStrong written and verbal communication that allows you to be an effective participant in both internal debates and external relationshipsTrack record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goalsHigh NPS with your former teammatesThis is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.Working with usTandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:Commit to audacity. "Whether you think you can, or you think you can't – you're right.”Do the math. Be rigorous, assume nothing.Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose.Spit it out. Be direct, invite critique, avoid equivocation – we want right answers.Be demanding and supportive. Expect excellence from everyone and offer help to achieve it.Do what it takes to be number 1. We work hard to make sure we win.We provide competitive compensation with meaningful equity. Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay.We also provide rich benefits to ensure you can focus on creating impact:Fully covered medical, vision, and dental insurance.Memberships for One Medical, Talkspace, Teladoc, and Kindbody.Unlimited paid time off (PTO) and 16 weeks of parental leave.401K plan setup, FSA option, commuter benefits, and DashPass.Lunch at the office every day and Dinner at the office after 7 pm.Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Tandem 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.

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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 Aligner, 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 As Senior Engineering Manager for the Perception engineering team at Labelbox, you will lead a team that builds easy-to-use and efficient tools that support the development of cutting-edge AI systems like those for generative AI and computer vision. In this role, you will manage the team’s daily operations, including sprint planning, daily standups, and one-on-one meetings, ensuring smooth execution and continuous progress. You will also contribute technical expertise in full-stack development, guiding the team in building robust and efficient systems. Collaboration is key—you will work closely with other engineering teams to align on architecture, share best practices, and drive cross-functional initiatives. This role requires a strong foundation in full-stack frameworks. Your Impact Drive engineering excellence by providing technical leadership and guidance, ensuring the team delivers high-quality, scalable, and reliable systems. Foster a high-performing team by recruiting top talent, mentoring engineers, and supporting career growth through skill development and progression plans. Ensure efficient execution by leading sprint planning, prioritizing tasks, and maintaining alignment with business objectives while meeting deadlines and quality standards. Shape system architecture by collaborating with engineers to design robust, scalable infrastructure that meets evolving business and technical needs. Enable cross-functional success by working closely with other engineering teams to align priorities and translate stakeholder needs into impactful deliverables. Improve developer productivity by ensuring infrastructure, tools, and processes support efficient development while maintaining security, reliability, and scalability. Stay at the forefront of technology by keeping up with industry trends, integrating new insights into engineering practices, and contributing to technical documentation to support knowledge sharing. What You Bring Bachelor’s degree in Computer Science or a related field (Advanced degree preferred). Proven technical leadership with 4+ years of experience in full-stack development and 2+ years managing highly technical engineering teams. Strong software design and architecture skills, with experience in API development, schema design, etc. Expertise in programming languages such as TypeScript and Python, with a disciplined approach to software development focused on testing and quality. Hands-on experience with front-end frameworks like React. Project management expertise, including experience with agile methodologies and tools like Jira, demonstrating ownership of end-to-end project delivery. Exceptional communication and collaboration skills, enabling effective teamwork across engineering, product, and design teams. Ability to thrive in fast-paced environments, with a proactive, problem-solving mindset and a willingness to dive deep to drive results. Bonus: Experience with leveraging large language models (e.g., GPT-4, Gemini) for product development, and working with AI service APIs (e.g., text-to-speech, speech-to-text, translation, transcription). Engineering at Labelbox At Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems. Our Technology Stack Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency: Frontend: React.js with Redux, TypeScript Backend: Node.js, TypeScript, Python, some Java & Kotlin APIs: GraphQL Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes Databases: MySQL, Spanner, PostgreSQL Queueing / Streaming: Kafka, PubSub 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$220,000—$250,000 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility 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.

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About Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation. We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.We are setting the norms for compliance processes at the largest institutions in the world. Our client base includes firms with a combined $17 Trillion in AUM, and growing quickly.Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have raised $85 million over the past 18 months from top VCs and global institutions, including Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, and Marc Benioff.This RoleAs a Legal Engineer- Agent Deployment at Norm Ai, you will occupy a pivotal role at the intersection of law, technology, and client success. Your primary responsibility will be to act as a legal subject matter expert by deeply engaging with clients as they navigate complex compliance and regulatory challenges using the Norm Ai platform. You will guide client onboarding and lifecycle engagement, ensuring clients maximize the platform's value while aligning their business objectives.In this role, you will collaborate closely with internal teams—including Client Engagement, Sales, Legal Engineering and AI Engineering—to ensure seamless client experiences and proactive solutions. You will translate legal, compliance, and business issues into actionable insights, becoming a trusted partner to our clients by surfacing client feedback and identifying opportunities to enhance the platform. You will also leverage our internal tools to further develop automated analysis of regulations.You will need to be comfortable presenting and navigating nuanced discussions on regulatory and compliance topics, and wherever possible, you will seek to go above and beyond to meet their needs and demonstrate the value of Norm Ai. Whether it's preparing insights, conducting in-person, on-site client sessions, or dissecting complex documentation, your work will underscore Norm Ai’s value proposition. You will connect the dots between regulatory landscapes, clients' operational contexts, and Norm Ai’s technology, driving success for both our clients and our company.Beyond client interactions, you will contribute to strategic initiatives, producing thoughtful, metrics-driven materials that help tell Norm Ai’s story and advance its mission.Responsibilities:Drive Client Success: Actively participate in and help lead client onboardings, ensuring a smooth adoption of the Norm Ai platform. Serve as the regulatory and compliance expert in client engagements, providing personalized support and ensuring clients derive maximum value from the platform.Regulatory Expertise and Analysis: Offer sophisticated insights on regulatory and compliance matters, connecting these insights to the platform’s capabilities and the client’s unique needs. Leverage our internal tools to further tailor our automated analysis of regulations to our clients' needs.Strategic Advocacy: Capture, organize, and present feedback that shapes product enhancements and improves client outcomes.Build Client Trust: Cultivate long-term relationships with clients, becoming a trusted advisor by proactively addressing challenges and identifying opportunities to add value.Custom Solutions: Develop tailored solutions, including preparing collateral, reviewing regulatory documents, and providing clients with actionable advice specific to their industry and organizational goals.Proactive Problem-Solving: Identify and resolve potential client issues, coordinating with internal teams to ensure timely and successful outcomes. Resolve any issues in a timely manner, engaging other internal resources as needed. Leave no stone unturned and always strive for excellence.Communications & Presentations: Craft compelling presentations, demos, and legal collateral to communicate complex ideas in an accessible, professional manner.Skills & Experience - CoreJuris Doctor (JD) required, with strong legal acumen and 1-2 years of experience in legal or compliance roles.Significant experience working with legal professionals, compliance officers, or in highly regulated industries (e.g., financial services, insurance).Exceptional communication skills with a proven ability to convey complex legal and regulatory concepts in a client-friendly manner.Demonstrated ability to manage complex client relationships. Highly independent and comfortable operating as an individual contributor.Detail-oriented with strong organizational and project management skills.Willingness to adapt, taking on both leadership and supportive roles as needed.Skills & Experience - PlusesPrior experience in compliance consulting or regulatory advisory roles.Background in AI-powered technologies or legal technology platforms.Experience at a venture-backed company.Familiarity with compliance and regulatory frameworks applicable to financial services or similar sectors.$175,000 - $225,000 a yearPlus equity.We embrace a flexible hybrid model, typically in-office 3–4 days per week.What Success Looks Like30 DaysMaster the Norm Ai platform and client onboarding processes.Gain a strong understanding of the compliance and regulatory frameworks Norm Ai supports.Confidently articulate Norm Ai’s value proposition and deliver client demos.60 DaysIndependently manage client onboarding and provide regular updates.Establish meaningful relationships with clients, understanding their unique legal and compliance needs.Surface actionable feedback to the product team, enhancing platform functionality.90 DaysLead the entire client engagement lifecycle, from onboarding through renewal.Be regarded as a trusted legal and compliance advisor by clients.Drive client renewals and upsells by consistently demonstrating Norm Ai’s value.Navigate complex client discussions with minimal preparation, effectively aligning their needs with Norm Ai’s offerings.

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About Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation.We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.We are setting the norms for compliance processes at the largest institutions in the world. Our client base includes firms with a combined $17 Trillion in assets under management, and growing quickly.Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have raised $85 million over the past 18 months from top VCs and global institutions, including Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, and Marc Benioff.This RoleAs a Full Stack Engineer at Norm AI, you will be integral to the development of our AI-driven compliance solutions. You will work directly with all aspects of our code stack.You Will:Improve the product–both our client facing enterprise product and in support of our internal legal engineering tools team. Work on scaling problems–ensure our customers get top-notch availability and reliability on a particularly bursty system.Remain on pace with emerging AI use cases-constantly push the boundaries of what is possibleBring product intuition–iterate and obsess over the customer's experienceSkills & Experience - CoreBachelors or Masters in computer science or an equivalent field, or equivalent practical experience2+ years experience writing Python, TypeScript, or similar for production useExperience working with a Postgres database or similarExperience writing APIs using a framework such as FastAPI or similar for production useInterest or experience in working with a complex AI-driven product, (i.e. streamed outputs, dynamic agentic site navigation, etc)Interest or experience in working with PDFs, excel, or file-driven productsSkills & Experience - PlusesExperience dealing with database scaling problemsExperience building highly configured or abstracted UIs tied to editable schemas stored in a databaseExperience working with AWS infrastructure or similarExperience working at an early-stage startupExcited to work on product and work/iterate with customersWhat Success Looks Like After 30 DaysRapid Acclimation: Quickly adapt to Norm Ai's technology stack and the regulatory landscape it operates withinCollaborative Integration: Establish strong collaborative relationships with the team to understand the intricate balance of innovation and regulationInitial Contributions: Make meaningful contributions to our existing system, demonstrating an understanding of Norm Ai's unique approach to software developmentWhat Success Looks Like After 60 DaysInnovative Design Implementation: Successfully implement and deploy significant features that enhance the AI-forward experience for Norm Ai’s clientsUser-Centric Development: Show a deep understanding of customer needs and feedback, translating these insights into tangible improvements in the productHigh Agency Ownership: Begin to own initiatives internally as we drive our product forwardComp & BenefitsThe base salary range for this full-time position is $150,000-$225,000 + employee equity + benefits. The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits.-Competitive salary and equity-401(k) with the highest match legally allowed-Top-tier health, dental, hospital, accident and vision insurance-Relocation reimbursement to move to NYC-Fast-paced learning environmentWe embrace a flexible hybrid model, typically in-office 3–4 days per week.If you're interested in the role but aren't sure whether you're a good fit, we'd still like to hear from you.

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About Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation. We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.By building and deploying Government-Grade Regulatory AI, we are setting the norms for compliance processes at the largest institutions in the world, and laying the groundwork for the deployment of AI agents more broadly in highly regulated workflows. Our client base includes firms with a combined $17 Trillion in AUM, and growing quickly. Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have raised capital over the past 18 months from Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, Larry Summers, and Marc Benioff.This RoleAs an Applied AI Research Engineer at Norm Ai, you will take a methodical and holistic approach to increasing the coverage and capabilities of our automation platform. You will collaborate closely with and act as a bridge between our software engineering, legal engineering, and product teams to design and refine our AI-driven compliance solutions.You Will:Design and build AI-powered, enterprise-grade software to meet rapidly increasing demands.Regularly contribute performant and high-quality code to our production codebase that conforms to the high standards of our software engineering team. Autonomously prioritize between development velocity and long-term robustness of proposed solutions, always with a ruthless propensity for action.Run experiments with new LLM techniques and technologies across our AI infrastructure, content processing, and regulatory workflows.Write prompts, iterate on them, and design systems for continuous improvement.Develop regulatory expertise that can be used as part of our LLM workflows.Skills & Experience - Core4+ years of experience as a Software Engineer, ML engineer, or Data Scientist.Strong programming skills in Python, proficiency in Docker and data storage technologies such as Postgres and Redis.Willingness to work with frontend technologies (Typescript, react, etc) when required.Experience in AI/ML infrastructure and tooling.Interest in becoming a regulatory domain expert and working closely with legal and regulatory professionals.Strong reading and writing skills.Strong quantitative skills that can enable a data-driven approach to problem solving.Skills & Experience - PlusesExperience deriving insights from PDFs and/or other unstructured or semi-structured data typesFamiliarity with the latest research in LLMs and an eagerness to adopt new model capabilities as they become availableBackground working on complex compliance or regulatory systems.What Success Looks Like - 30 DaysNorm Ai Integration: Rapidly familiarize yourself with Norm Ai's existing codebase, architecture, and the unique challenges of our AI-driven compliance solutions. Within the first two weeks, we expect meaningful contributions to our production codebases.AI Engineering: Rapidly familiarize yourself with the data flows in Norm Ai’s compliance systems and enhance the accuracy or robustness of one of our core modules.Domain Expertise: Develop familiarity with the underlying regulations with which Norm works.What Success Looks Like - 60 DaysNorm Ai Integration: Successfully optimize, implement, and deploy significant features that improve the accuracy and coverage of our automation platform.AI Engineering: Effectively lead large-scale improvements to our AI system, including runtime optimizations and accuracy improvements.Domain Expertise: Leverage regulatory expertise to effectively collaborate with the legal engineers and improve new and existing LLM workflows$200,000 - $250,000 a yearThe range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with the maximum legally permitted employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.We embrace a flexible hybrid model, typically in-office 3–4 days per week. If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.

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About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role:Anyscale is growing its Sales Team! We're looking for an Enterprise Account Executive to build out our enterprise-level client relationships. This is a Hunter role, so you will be prospecting, developing, and closing new business while focusing on the clients’ requirements. The Enterprise AE’s must have the confidence and ability to negotiate and close agreements with clients and support new customers. This role is a unique opportunity to contribute in a meaningful way to high visibility, high impact projects at a very exciting time for the company. Anyscale is an innovative, high-growth, customer-focused company in a large and growing market. If you are an energetic, self-managed professional with experience managing a complex sales process and possess excellent presentation and listening skills, organization and contact management capabilities, we’d love to hear from you. As part of this role, you will:Achieve sales quotas for named accounts on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target prospect list, and a regional sales planDevelop marketing plans with the marketing team to drive revenue growthBe the trusted advisor to the customer by understanding their existing and future roadmap to drive the Anyscale solution within the marketplaceProspect qualification and the development of new sales opportunities and ongoing revenue streamsArrange and conduct initial Executive and CxO discussions and positioning meetingsSales process management and opportunity closureOngoing account management to ensure customer satisfaction and drive additional revenue streams.Be familiar with solution-based approach to selling, have experience managing a complex sales process and possess excellent presentation and listening skills, organization and contact management capabilitiesSome understanding of the data, compute, ML space and an ability to carry a technical conversation on these topicsWe'd love to hear from you if you have:5+ years of full cycle sales experience selling software or cloud based applicationsEmphasis on ML, cloud, and SaaS is desiredA track record of success in driving consistent activity, pipeline development and quota achievementExperience determining customer requirements and presenting appropriate solutionsProactive, independent thinker with high energy/positive attitudeExcellent verbal and written communication, presentation, and relationship management skillsAbility to thrive in fast-paced startup environment Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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About the TeamOpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. A key part of achieving that mission is training models that deeply understand and reflect human preferences — the Human Data team is at the heart of that effort.The Human Data engineering team creates the systems that enable scalable, high-quality human feedback. These systems are essential to how OpenAI trains and improves its most advanced models. Engineers on this team collaborate closely with world-class researchers to bring alignment techniques to life — from experimental ideas to production-ready feedback loops. About the RoleWe’re looking for software engineers to join the Human Data team and build the platforms, prototypes, tools, and infrastructure that power how our AI models are trained, aligned, and evaluated. You’ll partner with researchers and cross-functional teams to bring alignment ideas to life, influence future model training, and shape how models interact with the real world.We’re looking for people who are excited by technical ownership, enjoy working across the stack, and are eager to solve ambiguous problems in a high-impact, fast-paced environment.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Build and maintain robust full-stack systems for feedback collection, data labeling, and evaluation pipelines, while maintaining high levels of security.Translate experimental alignment research into scalable production infrastructure, including inference and model training stacks.Design and iterate on user-facing tools and backend services to support high-quality data workflowsPartner with researchers, engineers, and program leads to shape feedback loops and model interaction paradigmsDrive infrastructure improvements that enable faster iteration and scaling across OpenAI’s frontier models, from internal research tooling all the way to production ChatGPT. You might thrive in this role if you:Have strong software engineering fundamentals and experience building production systems at scaleEnjoy full-stack development with end-to-end ownership — from backend pipelines to user interfacesAre motivated by high-impact collaboration with research teams and solving novel, ambiguous problemsAre excited to shape how AI systems learn from human preferences and reflect a broad range of human valuesCare deeply about inclusive tooling and building systems that enhance model safety, reliability, and usefulnessAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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