Find AI Work That Works for You

true

This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.About ElevenLabs ElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create AI agents for support, sales, and education.ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.ElevenLabs is only 2 years old and scaling rapidly. We are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location. We are remote first with optional in-person offices in London, New York, San Francisco, Tokyo, and Warsaw.What we offerLearning & development: Annual discretionary stipend towards professional development. Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: We bring the entire company together at a new location every year.Coworking: If you’re not located near one of our main hubs, we offer a monthly coworking stipend.About the roleAs a Forward Deployed Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams.As a Forward Deployed Engineer, you can expect to:Take full ownership of end-to-end execution of major projects for our most strategic partners, working hands-on to deliver high-impact solutions.Collaborate strategically with Account Executives to enhance the technical aspects of the sales process.Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions.Craft compelling technical demonstrations that clearly communicate our product's value proposition.Create technical enablement resources that amplify our sales team's effectiveness and technical fluency.Build self-service tools and documentation that empower customers to implement solutions independently.Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real!RequirementsWe're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you:Are passionate about AI, technology and ElevenLabs products.Enjoy working directly with customers, iterating on solutions and providing tailored supportHave a talent for identifying patterns that can be standardized and scaled.Have strong empathy for customers, sales and product teams.Have a strong technical background in order to help customers architect integration between our solutions and their existing solutionsExperience working with customers. It’s ok if you only worked with customers in student clubs or side projects, as long as you are interested in working closely with them on a technical capacityProficiency in Python, inclusive of a deep understanding of software development, software architecture, and common integration patterns.Excellent communication skills with the ability to adapt messaging to different audiences.[Bonus] Recently completed degree in the following subjects: Maths, Engineering, Physics, Stats, Science#LI-Remote

false

Job Description: Shield AI’s mission is to protect the lives of service members and civilians with intelligent systems. The Mission Systems Engineering team contributes to this effort by specifying, designing, integrating, and flight testing both in-house and off-the-shelf hardware on both V-BAT and our next-generation aircraft. This team works cross-functionally, both in the office and at our flight testing facilities, to specify, integrate, and flight test avionics packages that enhance the mission capabilities of our aircraft. As Senior Manager of the Mission Systems Engineering team, you will be responsible for the success of multiple engineers and leaders that report to you, in addition to your own engineering and design tasks. You will work with electrical, mechanical, software, and program management engineers on both the V-BAT and next-generation aircraft programs. You will perform some individual contributor work in addition to holding 1:1 meetings, writing reviews, and providing career guidance to your team. While leadership is an important part of this role, you are still expected to spend approximately 50% of your time as an individual contributor in your respective field. Your contributions will directly impact the success of Shield AI in addition to influencing the future of the Aircraft Engineering organization. Help us save lives as we strive to deliver the most highly reliable aerospace hardware in the industry. 

false

Are you a passionate and innovative engineer looking to help develop state-of-the-art AI and robotics products? Are you eager to make a positive difference in the world? Do you want to work alongside mission driven and values focused teammates? Shield AI is just the place for you! The Hivemind Test team is on mission to build a complete and robust testing infrastructure that supports the development and integration of the world’s best AI pilot. Hivemind Test is dedicated to ensuring the highest level of quality, reliability, and performance in our Hivemind ecosystem. This ecosystem includes software systems for autonomy behaviors, ground-embedded devices, test frameworks, and more. Our group is charged with control systems, multi-network communications, operating systems, validating and verifying that the entire Hivemind software ecosystem is operationally ready to meet mission objectives and reliability standards. This is achieved via a cross-functional team, with skills ranging from autonomy system engineering, robotics integration, software development, test engineering, and quality-assurance. We are seeking an expert Software Engineer that is motivated to join us on our mission, someone who has experience designing and implementing innovative software solutions for hardware deployment, test automation, and data analysis. This engineer will play a critical role in architecting and building software systems, collaborating with testers and developers to identify and root cause bugs, and help define the best approaches to software API test coverage. 

false

Job Description:Shield AI’s mission is to protect the lives of service members and civilians with intelligent systems. The Hardware Test Engineering team contributes to this effort by designing test solutions that drive high hardware reliability on our V-BAT vehicle. These solutions are in-house designed electrical and mechanical equipment used to perform component and system-level testing, both at ambient and in simulated harsh environmental conditions. In this role, you will take ownership of software that automates critical hardware testing processes, integrates results into our broader production systems, and enables scalability across dozens of test stands. You will work closely with engineers across electrical, mechanical, and software disciplines to ensure that our test infrastructure is robust, efficient, and deeply integrated with our development and manufacturing workflows. We are looking for someone with at least 3 years of industry experience who thrives in a fast-paced environment and is passionate about developing clean, maintainable, and impactful code that directly affects the reliability of cutting-edge aerospace systems.

true

Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year. Every business is powered by contracts, but managing them can slow companies down and cost millions of dollars. Global innovators like L’Oréal, OpenAI, and Salesforce trust Ironclad to transform contracting into a strategic advantage - accelerating revenue, reducing risk, and driving efficiency. It’s the only platform that manages every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA. We’re building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth. Forrester Wave and Gartner Magic Quadrant have consistently recognized Ironclad as a leader in our category. We’ve also been named one of Fortune’s Great Places to Work six years running, featured on Glassdoor’s Best Places to Work, and recognized by Forbes’ 50 Most Promising AI Companies. We’re backed by leading investors like Accel, Sequoia, Y Combinator, and BOND. We’d love for you to join us! Ironclad is the #1 contract lifecycle management platform for innovative companies.  Every company, in every country, in every industry runs on contracts, but managing these contracts slows companies down and costs them millions of dollars. L’Oréal, Staples, Mastercard, and other leading innovators use Ironclad to collaborate and negotiate on contracts, accelerate contracting while maintaining compliance, and turn contracts into critical carriers of operational business intelligence. It’s the only platform flexible enough to handle every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA.  Ironclad is writing the narrative that shows how beautiful and functional contracting will change business. We’re a leader in the Forrester Wave for Contract Lifecycle Management. We have been recognized as a Fortune Great Place to Work for four consecutive years. Our innovation and work culture have been recognized by Glassdoor's Best Places to Work 2023, Forbes’ 50 Most Promising AI Companies, Wing Venture Capital's Enterprise Tech 30, and Gartner's Magic Quadrant. We work in a highly collaborative environment, and strive to foster a positive, inclusive culture.  We’re backed by leading investors like Accel, Y Combinator, Sequoia, and BOND. For more information, visit www.ironcladapp.com or follow us on LinkedIn and Twitter. Role Description:We are seeking an experienced Manager, Legal Engineering to lead our team of Legal Engineers, who are services consultants responsible for delivering Ironclad implementations to our customers. Legal Engineers are responsible for the design and configuration of Ironclad’s platform to meet customer’s needs, developing workflows and automation that drive adoption and business impact.As a Manager, Legal Engineering, you’ll oversee a team of 6-8 Legal Engineers, providing hands-on support for complex or at-risk projects, and continuously improving the delivery processes. You’ll partner closely with cross-functional teams to ensure seamless transitions across the customer lifecycle and customer advocacy with our product.This is a people-first, customer-centric leadership role. You’ll be responsible for coaching and developing Legal Engineers, providing clear guidance, and fostering an inclusive, high-performing team culture. You’ll also interface regularly with customers, helping ensure our most strategic implementations are successful and drive long-term value.In this role, you will:Lead, mentor, and grow a high-performing team of Legal EngineersSet clear performance expectations, provide regular feedback, and support career developmentOversee delivery of packaged service offerings, custom SOW delivery, and investment projectsAdvise on staffing, resource planning, and forecasting to ensure smooth project deliveryProvide hands-on support for escalations and serve as executive sponsor on key engagementsCollaborate cross-functionally with Sales, Customer Success, Product, and Engineering to improve the end-to-end customer experienceWork with the Director of Professional Services on annual planning, team strategy, and risk managementAnalyze implementation data and feedback to improve delivery quality and operational efficiencyBuild scalable processes and tooling that support a growing customer base and enable consistent delivery excellenceBe accountable for team KPIs, including billable utilization, revenue delivery, gross margin, implementation CSAT, and project healthSkills & Requirements:Demonstrated experience managing or mentoring an implementation teamExperience in a Professional Services delivery role, with strong results in CSAT, project delivery and risk mitigationStrong communication and interpersonal skills; ability to inspire and grow a diverse team6 to 8 years of experience working with a SaaS/Technology company; experience with CLM or workflow automation tools a plusFamiliarity with the Ironclad platform or other CLM systems preferredProven ability to build scalable systems and improve operational efficiencyComfortable working directly with enterprise customers and managing stakeholder expectationsAbility and willingness to travel up to 10% of the time Benefits:Health, dental, and vision insurance401kWellness reimbursementTake what you need vacation policyGenerous parental leave for both primary and secondary caregiversBase Salary Range: $150,000 - $180,000 The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

false

Ema, a Series A startup founded by serial entrepreneurs and ex-Google, Coinbase, and Okta executives, is revolutionizing the AI landscape to empower employees across enterprises, unlocking their creativity and productivity. Backed by top investors and angels, we are transforming the way businesses operate. Currently in stealth mode in Silicon Valley, Ema is seeking a highly talented and experienced Full Stack Engineer with a focus on front-end development to join our founding team. The ideal candidate will have a passion for building captivating user experiences while also contributing to back-end architecture and API integrations. This is a unique opportunity to make a substantial impact on a cutting-edge product.In this role, You Will:Design, develop, and implement exceptional user interfaces for web applications using modern web technologies such as HTML, CSS, and JavaScript.Collaborate closely with product managers, UX designers, and other stakeholders to gather requirements, own the user experience, develop wireframes, and create high-fidelity prototypes.Develop and maintain API integrations, ensuring seamless communication between front-end and back-end systems using React and gRPC.Contribute to back-end development with a focus on creating robust APIs and ensuring smooth communication between the front-end and server using technologies like Node.js or Python.Build, test, and deploy full-stack web applications using React and gRPC, while ensuring responsiveness, performance, and scalability.Optimize web applications for performance, accessibility, and SEO best practices.Troubleshoot and resolve UI and back-end related issues, ensuring a consistent and optimal user experience across multiple platforms and devices.Write clean, maintainable, and well-documented code adhering to established coding standards, and deploy/debug using platforms like Vercel.Ideally You'd Have:Bachelor's degree in Computer Science, Web Development, or a related field, or equivalent work experience.A minimum of 4 years of professional experience in full-stack development, with a focus on front-end engineering and API integration.Strong proficiency in HTML, CSS, and JavaScript, with extensive experience in React.Experience with gRPC for client-server communication, and familiarity with RESTful APIs, JSON, XML, and OAuth.Solid understanding of back-end technologies such as Node.js or Python, and experience working with server-side frameworks (e.g., FastAPI, Express).Familiarity with version control systems like Git and build/deploy platforms such as Vercel.Excellent problem-solving and analytical skills, with a strong commitment to delivering high-quality user experiences across both front-end and back-end.Strong communication and collaboration skills, with the ability to work effectively both independently and as part of a team.For California based candidates: The standard base salary for this position is $135,000-$300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

false

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Team Safeguards, Dangerous Asymmetric Harms is a team responsible for developing comprehensive safety systems and policy boundaries across CBRNE (Chemical, Biological, Radiological, Nuclear, and Explosive), Cyber, and Dangerous Asymmetric Advanced Technologies—addressing threats from everyday trust and safety risks to catastrophic AI scenarios. We blend domain expertise in CBRNE and Cyber with ML engineering to create classifiers, evaluation infrastructure, threat models, and conduct RL experiments. The team also performs AI capability uplift testing through partnerships with government laboratories and national security agencies, leveraging real-world cross-functional experience. We are looking for a Research Scientist, CBRN (Rad/Nuke), ML, who can execute rapidly, maintain high throughput, and bring a strong builder mindset to solving complex problems. The ideal candidate will combine deep nuclear/radiological domain expertise with advanced ML capabilities to build systems that evaluate and prevent dangerous capability development. You'll be designing novel approaches to detect threats spanning from nuclear proliferation to AI-enabled radiological risks, requiring both technical sophistication and strategic thinking. This role primarily focuses on building advanced ML systems for Nuclear and Radiological threat detection. You will use your deep technical expertise in nuclear security to inform ML solutions that prevent real-world catastrophic harm. Responsibilities Apply ML/AI research to build evaluation systems for nuclear and radiological safety, with focus on proliferation detection and threat assessment Develop novel AI techniques to detect and prevent nuclear weapons development, including capabilities-based analysis and investment optimization Design and train specialized AI models for nuclear material detection, leveraging sensor data, technical signatures, and open-source intelligence Research and implement state-of-the-art ML approaches for identifying illicit nuclear activities and proliferation networks Build systems that detect nuclear technology transfers and prevent proliferation through advanced pattern recognition Create and implement technical systems for monitoring nuclear fuel cycle activities and detecting anomalies Develop classifiers that can distinguish between civilian nuclear programs and weapons development Build sophisticated evaluation infrastructure for measuring AI capability uplift in nuclear domains Design adversarial testing frameworks that probe model capabilities in nuclear security contexts Integrate multi-source intelligence data with ML training pipelines to improve detection accuracy Develop and maintain nuclear threat datasets and benchmarks while ensuring appropriate classification handling Create tools that allow nuclear security experts to quickly develop and deploy new detection evaluations Write production-quality Python code for high-throughput nuclear data processing and evaluation systems Contribute to nuclear risk assessments that directly inform AI model release decisions and policy development Work cross-functionally with nuclear policy experts, national laboratory researchers, and ML engineering teams Apply capability-based investment frameworks to optimize nuclear detection R&D portfolios You may be a good fit if you Have deep domain expertise in nuclear physics, nuclear engineering, or nuclear security Possess experience with nuclear weapons effects, nuclear fuel cycles, or radiological detection systems Have worked with nuclear threat assessment, proliferation detection, or nuclear security policy development Demonstrate experience with capability-based investment planning for nuclear security programs Have familiarity with NNSA programs, particularly in proliferation detection and R&D Possess experience with nuclear detection technologies and sensor systems Can bridge technical nuclear knowledge with ML/AI applications for security purposes Have experience managing large-scale nuclear security programs or R&D portfolios Understand the intersection of emerging technologies and nuclear proliferation risks Possess strong foundation in both nuclear physics/engineering and modern ML frameworks Have experience translating complex technical nuclear findings into strategic recommendations Demonstrate ability to work with classified information and maintain appropriate security protocols Show experience with government nuclear security programs or military CWMD operations Can operate effectively in interagency environments while maintaining program focus Have led or contributed to nuclear security R&D initiatives Do not rule yourself out if you do not fit every qualification - we recognize that the intersection of nuclear security and ML for threat detection is a rare combination. If you have deep expertise in nuclear threats and are eager to apply ML to prevent catastrophic risks, please consider applying. What makes this role unique Strategic impact: Your work will directly prevent nuclear proliferation and shape global nuclear security architecture Unique technical intersection: Combine cutting-edge ML with deep nuclear domain expertise in unprecedented ways National security influence: Your technical assessments will directly inform nuclear deterrence and counter-proliferation strategies Novel problem space: Design evaluations for AI-enabled nuclear capabilities that could fundamentally change strategic stability Interagency leadership: Apply military and government experience to coordinate across national laboratories, NNSA, and DoD Investment optimization: Use capability-based frameworks to maximize impact of limited nuclear security resources Classification challenges: Navigate the unique ML challenges of working with highly classified nuclear data The expected salary range for this position is:Annual Salary:$280,000—$340,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

false

Job Description:Shield AI is looking for early-career engineers who are excited to grow their skills while working on impactful technologies. As an Engineer II, you will contribute to the development of several core perception capabilities that will advance the state of the art in GPS-denied navigation, object detection, multi-target tracking, and global mapping for applications related to aircraft autonomy. You’ll work on real-world problems in areas like robotics, computer vision, and infrastructure gaining exposure to how advanced technology makes it from prototype to production. This role is ideal for someone early in their career who wants to grow as a developer while collaborating with experienced teammates in a fast-paced, mission-driven environment.

false

About Metropolis Metropolis is an artificial intelligence company pioneering the future of checkout-free, frictionless experiences in the real world. Using cutting-edge computer vision technology, we are transforming everyday activities—starting with parking—into seamless, time-saving interactions. Today, millions of consumers simply “drive in and drive out” of parking facilities powered by Metropolis. Tomorrow, we’ll enable checkout-free transactions wherever people live, work, and play—delivering unmatched speed, ease, and convenience in the physical world. The Role We are seeking a dynamic, results-oriented Vice President of Operations to lead parking operations across a designated region. This executive-level role is responsible for driving operational excellence, maximizing financial performance, and delivering exceptional customer experiences across multiple locations. The Vice President will serve as a strategic leader, overseeing a team of regional and operations managers while partnering with cross-functional leaders to scale and optimize the business. Key Responsibilities Strategic Leadership & Growth Develop and execute regional strategies to drive growth, operational efficiency, and profitability. Identify new business opportunities and lead expansion initiatives within the region. Collaborate with executive leadership to align regional plans with corporate goals and vision. Operational Excellence Oversee day-to-day operations of parking facilities, ensuring high performance, safety, and compliance. Define and monitor key performance indicators (KPIs) to drive continuous improvement. Lead technology adoption across locations to streamline operations and enhance customer experience. Financial Management Manage regional budgets, including revenue forecasting, cost control, and margin optimization. Conduct financial analyses to uncover opportunities and mitigate risks. Ensure regional financial targets are met or exceeded. Team Leadership & Culture Lead, mentor, and develop a high-performing team of regional and operations managers. Foster a culture of accountability, service excellence, and innovation. Conduct regular performance reviews and create development plans for team growth and retention. Customer Experience & Compliance Champion a customer-first mindset, ensuring rapid issue resolution and continuous service improvement. Enforce service standards and customer satisfaction metrics across all sites. Ensure full compliance with ADA, safety, and all applicable local, state, and federal regulations. Stakeholder Engagement Build strong relationships with clients, community leaders, and local officials. Represent Metropolis at industry events and in community engagement efforts. Support sales and marketing efforts through strategic partnerships and local market insights. Qualifications Bachelor’s degree in Business, Operations Management, Urban Planning, or a related field; MBA or advanced degree strongly preferred. 10+ years of experience in multi-site operations, parking management, or facilities management, with at least 5 years in a senior leadership role. Proven ability to drive revenue growth, manage P&L, and lead large operational teams. Deep understanding of parking industry regulations, customer experience best practices, and operational metrics. Excellent leadership, communication, and stakeholder management skills. Familiarity with parking technology platforms and data-driven decision making is a plus. Working Conditions Frequent travel within the assigned region. Flexibility to work evenings or weekends based on business needs. Mix of office, remote, and on-site facility work; occasional exposure to outdoor environments. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

false

Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewAs a Customer Success Manager you’ll play a critical role in guiding our clients through their journey with Harvey, and help define the future of work at both law firms and in-house teams. This position is pivotal in ensuring our clients not only adopt but also derive maximum value from our technology. You'll act as a trusted advisor, deeply integrating Harvey into their business processes and workflows. This individual will also have a chance to design and deploy scalable 1:many solutions that will impact how we serve our broad mid-market customer base in a highly efficient manner at scale.What You'll DoStrategic Implementation: Lead the integration of Harvey into client workflows, ensuring seamless adoption and optimal use of our AI solutions.Training & Enablement: Evangelize the power of LLMs as you meet with and enable end users to adopt Harvey on a daily-basis as it becomes a “must have” product.Client Relationship Management: Serve as the primary contact for 40+ mid-market clients with a prescriptive and consultative approach and delivering a superior customer experience.Process Creation: Drive scalability in the way we operate through documentation, designing playbooks, self-help materials, email cadences, and automation to ensure we drive efficiency in our long term mid-market strategy.Success Metrics Management: Utilize adoption rates, benchmarks, and other key metrics to drive strategies ensuring client satisfaction and high ROI.Advocacy and Engagement: Encourage user and stakeholder engagement, transforming them into Harvey advocates within their organizations.Customer Health Monitoring: Use analytics and feedback to maintain customer satisfaction, ensuring readiness for renewal and expansion opportunities.Feedback Loop: Relay client insights back to our internal teams, aiding in the continuous improvement of our product and services.What You HaveExperienced professionals from legal firms or SaaS organizations, with direct experience managing a high volume of client cases and/or customers.Individuals with excellent communication and strategic planning skills, capable of influencing stakeholders at various levels.Results driven candidates who are able to ruthlessly prioritize competing tasks and demanding customers seamlessly.Team players described as empathetic, committed, structured, motivated, and collaborative with a team-first mentality.Experience with Salesforce and Catalyst, are preferred, but not required.What We OfferA chance to be at the forefront of AI technology and innovation, directly impacting how our clients' businesses operate and thrive.An opportunity to contribute to the growth and direction of our Customer Success program, building out best-in-class playbooks and processes.A collaborative work environment that promotes growth, learning, and development.Please find our CA applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are in the early innings of a generational company. Joining early at a hypergrowth startup has proven to lead to exponential growth in responsibility, access, and ability. Apply here today!

true

Founding EngineerRemote (Global) | Full-Time | Competitive Salary + Meaningful EquityWebsite: withradiance.comPlease apply using the provided form, candidates who directly email will not be considered.Meet RadianceThe Source® of all your creative collateralRadiance is a digital design agency powered by The SOURCE® — a Creative OS that learns and evolves with your brand. As you work, it works: streamlining operations, accelerating creative, and scaling your entire brand system.We combine human-crafted design with intelligent systems to help modern brands grow with clarity, creativity, and impact.Every project is crafted for long-term value — not just assets, but infrastructure. Radiance delivers bold creative backed by strategic insight, made to perform across media, commerce, and customer experience.At the center of it all is The SOURCE® — a proprietary platform that powers everything we do. It brings together design, AI, and automation into a single, adaptive system that grows with you.Why This Role ExistsWe’re looking for a sharp, systems-minded full-stack engineer who builds with urgency, curiosity, and care. You’ll partner directly with the founders to translate ideas, client feedback, and strategic needs into real, production-grade tools.This isn’t just a role for implementing specs — it’s for someone who thrives in ambiguity, sees the edge of a fuzzy idea, talks to users, and ships features that stick.As an early hire, you'll also help shape our foundational engineering principles and how we build as a team.What You’ll DoArchitect and scale RAG pipelines, agent-based systems, and LLM-powered workflowsFine-tune large language models for structured data extraction and automationBuild developer-friendly APIs and interfaces for web automationShip product features fast — with real usage and feedbackWork closely with the team and customers to build what mattersStay ahead of the curve on LLM tools, embeddings, orchestration, and trainingCreate elegant, resilient systems that just workWhat You BringStrong full-stack engineering experience (Python backend + Vue or equivalent frontend)A systems mindset — architecture, UX, and scalability are one conversation to youHands-on familiarity with production level AI tooling: prompt design, agents, vector DBs, etc.Clear, proactive communication — you explain not just what you’re doing, but whyAutonomy — you move quickly and make things realPragmatism — you build what works, not just what’s elegantBonus PointsBuilt LLM-based agents, fine-tuned models, or designed RAG pipelines in productionContributed to open-source projects in AI, ML, or developer infrastructureExperience with AWS, Postgres, and scalable backend systemsTrained or fine-tuned foundation models from scratch or with custom dataWorked on web automation, scraping, or structured data extraction workflowsWhy Join Radiance?Founding seat. Help define the product and shape how we build from the ground upFast feedback loop. Internal users are power users — what you ship gets usedDesign-forward culture. Work alongside world-class strategists and brand thinkersRemote-first, async-friendly. High trust, low overheadMomentum. We ship features in days — not quartersCompetitive salary + meaningful equityBacked by invisible.co, and founded by repeat entrepreneursOur Interview ProcessWe keep things human, clear, and practical. The process includes a few conversations to get to know each other and either:A short project (done on your own time, then discussed in a review call)Or a collaborative working session, where we build something togetherWe’ll align on the format that works best for you.Radiance Is for You If:You think in systems and love building from zeroYou care about clean UX, smart architecture, and long-term impactYou want to work closely with founders and users to shape the productYou’re excited by creative tools, AI workflows, and fast iterationYou thrive in autonomy, take initiative, and move with purposeRadiance Is Not for You If:You need detailed specs and tightly scoped tasksYou prefer to stay in your lane and avoid user conversationsYou’re not interested in design systems or GenAIYou’re optimizing for predictability over ownership

false

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s mission is big: enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more. But it’s not just about technology and processes; at Dataiku, we also believe that people (including our people!) are a critical piece of the equation. Dataiku’s value proposition is unique on the market as it allows people with very different types of expertise & technical skills to collaborate on a single platform, from no-code/business people to the most advanced Data Scientists, and develop end-to-end Analytics, Predictive and Gen AI projects, from exploration to deployment. Mission Description We're looking for a Senior Solutions Manager specialized in Financial Services & Insurance (FSI) to join Dataiku’s Business Solutions team. The Senior Solution Manager owns two essential missions to accelerate Dataiku’s development in the FSI space:  (1) Be a Subject Matter Specialist for FSI, including specific subdomains (e.g., Risk Management, Finance, Pricing, Underwriting). The Senior Solution Manager is a gap bridger between precise industry needs, AI and Dataiku as a product. They directly support  clients and prospects as a trusted thoughtpartner and lead the development of high impact supporting assets to accelerate Dataiku’s growth in the FSI market.  (2) Own the identification, scoping, and successful roll out of Dataiku Solutions aligned to industry trends and market research, with the goal of maximizing Dataiku’s value delivery within priority subdomains. Your mission will be undertaken in close partnership with Dataiku’s broader Business Solutions team, including the Solution Director for FSI and the FSI Solution Data Scientists, as well as with Dataiku’s core teams: Sales, Customer, Partnership, Product and R&D. How you’ll make an impact :  Subject Matter Expert for FSI: Leverage your expertise with the challenges, objectives, types of roles, and tangible data and AI use cases to support the development of Dataiku in the FSI market: Effectively articulate Dataiku’s value proposition for distinct business and functional teams within FSI. Dive deeply into the specific needs of business, functional and operational domains within FSI firms, including in areas you are not currently familiar with, to do a clear mapping of key personas, use cases and Dataiku’s unique value prop.  Directly support sales and customer activities targeting FSI firms or priority domains: help field teams understand the specific dynamics of different teams and divisions within these complex organizations, and act as a key expert with FSI prospects, customers, partners and at events. Develop relevant materials to grow Dataiku’s internal knowledge, drive internal sales team community focused activities, and support client engagements. Solutions Development: As a key member of Dataiku’s Business Solutions team, you will play an instrumental role in the development of Dataiku Solutions: compelling analytic and AI use-cases that showcase how Dataiku solves real-world problems and directly addresses the domain specific needs of FSI teams:  Design compelling and competitive Solutions that address real industry team needs, including the necessary inputs, outputs, processes and features. Act as business lead for the creation and launch of these Solutions with responsibility for effective, efficient and impactful results, in close collaboration with the broader Solutions team: Product, R&D, UX, Partnerships, and Data Science. Define success metrics and track KPIs to concretely evaluate the rollout of Solutions and identify opportunities for changes or enhancements.  Fuel and qualify the Solutions development pipeline through business experience, client workshops, co-building motions, market research, and partnership discussions.  Support the global push for existing and new Solutions by enabling internal teams, leading customer interactions, and building go-to-market material. What you need to be successful  7-10 years hands-on experience and deep understanding of analytics and transformational projects directly impacting one or more business lines or functions within FSI firms. Experience quickly developing familiarity with the needs and experiences of teams working on topics about which you are not already familiar, via self-driven research and insight. Comfortable describing the continuum of ways in which data, analytics and AI can add value, from automation, pipelines and dashboards to machine learning and Generative AI. Experience successfully engaging diverse audiences on complex and specialized topics, in particular communicating the value and constraints of technological solutions.  Experience partnering with varied stakeholders, across different organizational positions (e.g., C-Suite, Front Office, Back Office, Technology), different working styles (e.g., visionaries, practitioners, stewards), and different countries and cultures. Business development mindset, comfortable supporting technology sales cycles. Product management experience, with the capacity to outline precise user journeys, scope use-cases, and support development end-to-end including organizing customer co-builds, testing and reviews.  Based in EMEA and able to travel both within that region and to other continents (10% of the time). Fluent in English & French #LI-Hybrid   What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

true

This role is remote and can be executed globally. About ElevenLabs ElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create AI agents for support, sales, and education.ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.ElevenLabs is only 2 years old and scaling rapidly. We are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location. We are remote first with optional in-person offices in San Francisco, New York, Dublin, London, Tokyo, and Warsaw.About the roleWe are looking for freelance Dubbing Specialists to join our fast-growing Productions team. Productions is a new marketplace that brings together our AI audio tools and a network of human experts to unlock high-quality, human-edited transcripts, subtitles, dubs, audiobooks, and more at scale for our users and customers. While Productions is just getting started, we already manage content workflows for some of the world's top YouTube channels, book publishers, and media & entertainment businesses. Here's what you can expect in our team:Optimizing translations for dubbed contentProducing natural sounding dubbed audio using a combination of toolsVoice casting to ensure content sounds natural in your languageCollaborating with our audio engineering and mixing teams on editsCompetitive task-based compensationFlexible workload and scheduling - claim and complete jobs directly on our platformRequirements:Native or near-native fluency in one or more supported languagesPrior experience in dubbing and translating audiovisual contentStrong attention to detail and commitment to linguistic accuracyAbility to work independently and deliver high-quality work on timeBonus:Previous work with language service providers, localization teams, or media companiesExperience using the ElevenLabs DubbingStudio and/or other AI-assisted dubbing tools#LI-Remote

true

About P-1 AI:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world—helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry-level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in model-based engineering, deep learning, and industries that are our customers. We just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries. We invite you to join our team of the world’s best engineers and AI researchers, building AI’s most impactful use case.About the Role:As the Infrastructure Engineer on our Customer Engineering Team, you'll build the custom integrations for Archie to transform engineering design workflows globally. You’ll own the infrastructure that brings Archie into the live engineering environments of major industrial OEMs from pilot to production. Your work sets the standard for how Archie specializes to each customer, with your code and configurations reused across deployments. This is a high-impact, high-visibility opportunity with potential to scale into a technical leadership role.Responsibilities:Deploy Archie into customer environments: configure secure, robust solutions across diverse customer systems (VPNs, VPCs, Windows/Linux, containerized platforms).Develop user-facing tools: build MCP/API interfaces and robust back-end integrations linking Archie to customer systems like CAD software, simulation servers, and ERP databases.Collaborate closely with engineering teams: partner with modeling and AI specialists to continuously refine Archie's integration and enhance product capabilities based on customer feedback.Resolve critical infrastructure issues: coordinate troubleshooting, drive root-cause analysis, and implement lasting resolutions alongside customer IT teams.Document scalable solutions: produce clear and reusable infrastructure blueprints, guidelines, and technical documentation for future implementations.Qualifications:Required:You've built enterprise-grade tooling in Python or C# within large-scale Windows/Linux environments.You've managed deployments within secure enterprise IT infrastructures involving containers, CI/CD pipelines, infrastructure-as-code, and authentication/security protocols.You've maintained hybrid infrastructure setups including VPN configurations, firewall management, and cloud-to-on-prem connectivity.You're skilled at rapid troubleshooting in live production scenarios and experienced in collaborating with customers during incident response.You're comfortable and effective interacting directly with customer engineers and IT leaders to align on technical objectives.Desirable:You have familiarity integrating systems within CAD/CAE ecosystems (e.g., Siemens Teamcenter, PTC Windchill) and enterprise resource planning systems like SAP.You have experience operating Kubernetes-based infrastructure, with monitoring and observability tools (Prometheus, Grafana).You have exposure to compliance and regulatory frameworks typical in safety-critical hardware sectors.Interview Process:Initial screening: Head of Talent (30 min)Technical manager interview: Head of Customer Engineering (45 min)System design session: build production infra using your own setup (60 min)Culture fit & mission: with co-founder & CEO (30 min)

true

About P-1 AI:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world—helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry-level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).About the Role:We’re seeking an exceptional AI Research Scientist to help us push the boundaries of AI applied to the physical world. This role blends cutting-edge AI research with hands-on engineering, and is ideal for someone who thrives at the intersection of ideas and implementation. You’ll be leading projects that develop agentic AI systems designed to solve real-world mechanical, electrical, and aerospace engineering problems—systems that think, remember, act, and adapt.This is not a “pure research” position: we’re looking for a hacker-scientist hybrid—someone who’s published in top venues but is not afraid of any layer in the tech stack.What You’ll Do:Design and implement agentic systems that autonomously solve physical engineering tasks.Develop advanced memory, retrieval, and planning architectures for LLM-based agents.Apply (or invent) reinforcement learning strategies for reasoning, planning, and online adaptation.Contribute to both research strategy and technical implementation—this is a hands-on role.Collaborate with a small, elite team of researchers and engineers across domains.Stay on the edge of what’s possible and bring promising ideas into reality.About you:Have experience at the frontier of AI research (e.g., LLMs, RL, memory systems, agent architectures).Are passionate about applied problems—especially in mechanical, aerospace, or electrical engineering domains.Are fluent in Python and major ML/AI frameworks (PyTorch, JAX, etc.).Thrive in fast-moving environments and feel comfortable working towards underspecified goals.Have a “whatever it takes” mindset: you’re the kind of person who makes things work.Can go from whiteboard to working prototype without waiting for someone else to “engineer” it. Preferred Qualifications:PhD in Computer Science, Robotics, Engineering, Math, or a related technical field (or equivalent experience).Relevant publications in top-tier venues of your field.Experience with physical engineering domains a plus.Familiarity with agent tool-use, retrieval-augmented generation, or long-term memory systems.Deep knowledge of reinforcement learning algorithms and practical challenges.Interview process:Initial screening - Head of Talent (30 mins)Hiring manager interview - Head of AI (45 mins)Technical Interview - AI Chief Scientist (45 mins)Culture fit / Q&A (maybe in person) - with co-founder & CEO (45 mins)

false

Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work-from-home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. Most people are aware that the AI revolution is driven by data. What most people don’t know is that this data is hosted on large, high-performance storage arrays measured in petabytes. At Lambda, the Infrastructure Storage Team’s job is to ensure that the data powering AI is fast, performant, and available.The Storage team is a multidisciplinary group of Storage Engineers, Software Engineers, and SREs. This close-knit team is motivated by a shared passion for delivering top-tier storage solutions to our customers. As both a product and operations team, we collaborate closely to accelerate development, deployment, and, most importantly, build resilient storage offerings.We are looking for a Ceph subject matter expert to support our latest Storage initiative. Starting with Object Storage, Ceph will form the backbone of our next-generation, differentiated storage solutions. The ideal candidate will train current Storage Engineers, advise on key Ceph decisions, and drive strategic Ceph initiatives.What You’ll Do:Design, deploy, and maintain highly available 40PB+ Ceph clustersPerform cluster upgrades, expansions, and performance optimizationsConfigure and optimize RBD, CephFS, and RadosGW servicesMonitor cluster health, performance metrics, and capacity utilizationDevelop capacity planning models and growth projectionsTrain others on CephYou Have:Bachelor's degree in Computer Science, Engineering, or equivalent experience5+ years of experience in storage engineering or distributed systems5+ years of hands-on experience with Ceph administration and troubleshootingStrong understanding of storage protocols (NFS, iSCSI, S3, Swift)Proficiency with Linux system administration and storage subsystemsExperience with storage hardware (SSDs, HDDs, NVMe) and networking technologiesKnowledge of monitoring tools (Prometheus, Grafana, Nagios) and log analysisUnderstanding of data protection concepts, backup strategies, and disaster recoveryNice to HaveCeph Certified Professional or equivalent certificationExperience with other distributed storage systems (GlusterFS, HDFS, MinIO)Experience with public cloud storage services (AWS S3, Azure Blob, GCP)Familiarity with storage benchmarking tools (fio, rados bench, COSBench)Experience with programming in Go is strongly preferred.Experience with configuration management tools (Ansible, Puppet, Chef)Understanding of network protocols and storage networking (RDMA, iSER)Salary Range InformationBased on market data and other factors, the annual salary range for this position is $380,000-$460,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

false

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Senior Full Stack Back End Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.Responsibilities Back End Focused - Design, develop, and maintain scalable and high-performing web applications using modern technologies and frameworks. Collaborate with cross-functional teams to gather and analyze user requirements and translate them into technical specifications. Develop and implement front-end user interfaces and intuitive user experiences. Write clean, secure, and efficient code to ensure high-quality software development. Conduct thorough testing and debugging to ensure software functionality and reliability. Participate in code reviews and provide constructive feedback to improve code quality and maintainability. Keep up to date with industry trends and emerging technologies to continuously enhance the software development process. Completes all technical tasks assigned in each sprint Understands and improves all code bases currently under development Keep products up to date with new technology Assist in product releases, revisions, patches and code reviews Support and troubleshooting issues with existing code Collaborate closely with other teams within the organization Researches new technology and best solutions for each problem Be transparent in sprint planning/retrospectives Requirements Proven experience as a Full Stack/ with heavy back end experience designing and developing web applications. Proficiency in programming languages such as JavaScript, Python, Node.js Strong knowledge of front-end technologies including JavaScript frameworks (e.g., React/Typescript). Experience with back-end technologies like Node.js, Express.js, and relational databases (e.g., MySQL, PostgreSQL). Familiarity with cloud technologies (e.g., AWS, Azure) and containerization (e.g., Docker, Kubernetes, Argo CD, Kafka) Knowledge of version control systems (e.g., Git) and software development methodologies (e.g., Agile, Scrum). Superb verbal and electronic communication skills Experience with DevOps - prefer AWS Security principles and architecture Prior experience in Risk, Underwriting and/or Payments Industry is preferred Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Vacation Work From Home Free Food & Snacks (in office) Wellness Resources

true

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Senior Data Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.As a Senior Data Engineer, you will lead the design and development of data services and platforms that power our AI-driven products. You'll focus on creating well-structured, validated APIs and event-driven pipelines, enabling scalable, secure, and maintainable data workflows. This is a backend-heavy role ideal for engineers who thrive on clean architecture, automation, and cross-functional delivery.Responsibilities Design and build production-grade **FastAPI services** to serve, validate, and enrich data for ML and analytics use cases Create and maintain **asynchronous event-driven pipelines** using  *Apache Kafka**, ensuring reliable and scalable communication across microservices Define and enforce structured data contracts using **Pydantic** and OpenAPI standards Develop robust, containerized data services with **Docker** and deploy them using modern cloud-native tooling Build and optimize analytical models and data flows in **Amazon Redshift** for business-critical reporting and data science consumption Collaborate with data scientists, ML engineers, and backend developers to streamline data sourcing, transformation, and model inference Own the lifecycle of data services — including monitoring, observability, testing, and deployment pipelines Maintain rigorous standards around data privacy, schema governance, and system performance Design, build, code and maintain large-scale data processing systems and architectures that support AI initiatives. Develop and implement data pipelines and ETL processes to ingest, transform, and load data from various sources. Design and optimize databases and data storage solutions for high performance and scalability. Collaborate with cross-functional teams to understand data requirements and ensure data quality and integrity. Implement data governance and data security measures to protect sensitive data. Monitor and troubleshoot data infrastructure and pipeline issues in a timely manner. Stay up-to-date with the latest trends and technologies in data engineering and recommend improvements to enhance the company's data capabilities. Requirements 7+ years of professional experience in backend-focused data engineering or platform development Strong proficiency in **Python**, with hands-on experience using **FastAPI**, **Pydantic**, and asynchronous programming patterns Deep understanding of **event-driven architectures** and experience with **Kafka** (producers, consumers, schema evolution, retries, etc.) Experience designing and deploying **containerized services** with **Docker** (Kubernetes or Fargate experience is a plus) Proficiency in SQL and experience with modern cloud data warehouses, preferably **Amazon Redshift** Familiarity with cloud services (preferably AWS), including CI/CD, infrastructure-as-code, and observability tooling Experience integrating third-party APIs and working with versioned schema contracts Strong communication and collaboration skills, especially in cross-functional and agile teams Experience working with ML engineers to operationalize models (e.g., batch scoring, online inference, data validation at model boundaries) In-depth knowledge of data modeling, data warehousing, and database design principles. Strong programming skills in Python, SQL, and other relevant languages. Experience with relational and NoSQL databases, such as PostgreSQL, MySQL, MongoDB Proficiency in data integration and ETL tools, such as Apache Kafka, Apache Airflow, or Informatica. Familiarity with big data processing frameworks, such as Hadoop, Spark, or Flink. Knowledge of cloud platforms, such as AWS, Azure, or GCP, and experience with data storage and processing services in the cloud. Understanding of data governance, data privacy, and data security best practices. Strong problem-solving and troubleshooting skills, with a focus on data quality and system performance. Excellent communication and collaboration skills to work effectively with cross-functional teams. Prior collaborative work with data scientists or machine learning professionals with respect to sourcing, processing and scaling both input and output data Comfortable going through documentation of third-party API’s and identifying best procedures for integrating data from API’s into broader ETL processes  Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off 9 paid Holidays Family Leave Work From Home Free Food & Snacks (Access to Industrious Co-working Membership!) Wellness Resources

true

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Data Infrastructure Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.Worth is looking for a Data Infrastructure Engineer to build and maintain the foundational systems that power our data platform. In this role, you will design, implement, and optimize scalable, reliable, and secure data infrastructure that supports analytics, data science, and product applications across the company.The ideal candidate is deeply experienced with modern data architectures, cloud platforms, and data orchestration tools. You are passionate about automation, performance tuning, and ensuring high availability of data services. This is a critical role on our data team and offers the opportunity to shape the long-term data strategy of the organization.Responsibilities Design, build, and maintain scalable and resilient data infrastructure in a cloud environment (AWS, Azure, or GCP). Develop and maintain ETL/ELT pipelines using orchestration tools such as Airflow, Dagster, or dbt. Optimize data workflows for reliability, performance, and cost efficiency across structured and unstructured datasets. Manage data lake and data warehouse environments (e.g., Snowflake, BigQuery, Redshift, Delta Lake). Ensure data security, privacy, and compliance, including role-based access control, data encryption, and audit logging. Collaborate with data scientists, analysts, and product teams to ensure data accessibility, accuracy, and availability. Support real-time and batch data processing frameworks, including Kafka, Spark, Flink, or similar tools. Monitor, troubleshoot, and improve the observability and performance of data systems using tools like Prometheus, Grafana, or Datadog. Maintain CI/CD pipelines for data infrastructure using Terraform, GitHub Actions, or similar tools. Requirements 5+ years of experience in data engineering, infrastructure engineering, or a related field. Strong programming skills in Python, Node.js. Proficient in SQL and experience with distributed query engines (e.g., Trino, Presto). Experience with cloud-native data platforms such as AWS Glue Hands-on experience with infrastructure-as-code tools (Terraform, Pulumi, CloudFormation). Familiarity with containerization and orchestration tools such as Kafka and Kubernetes. Solid understanding of data governance, quality frameworks, and data lifecycle management. Ability to work in a fast-paced, collaborative environment with a focus on impact and delivery. Experience in streaming data architecture and tools like Apache Kafka, Kinesis, or Pub/Sub. Background in supporting machine learning or analytics platforms. Exposure to data mesh, data contracts, or modern data stack concepts. Knowledge of DevOps principles applied to data systems. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off 9 paid Holidays Family Leave Work From Home Free Food & Snacks (Access to Industrious Co-working Membership!) Wellness Resources

true

Worth AI, a leader in the computer software industry, is looking for a talented and experienced VP of Data, Analytics and AI to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.Worth AI is seeking a strategic and hands on and execution-oriented Vice President of Data to lead our data function as we scale. This role is central to shaping how data is acquired, structured, commercialized, and governed across the company. The ideal candidate brings deep experience in data strategy, monetization opportunities, and operational excellence—transforming data into a key business asset that drives commercial value, innovation, and competitive advantage. Our Vice President of Data will have distinct expertise in credit modeling and experience collaborating with third-party data providers. This role requires a dynamic leader to drive our data strategy, combining innovative risk solutions with top-tier data science, machine learning, and AI methodologies.ResponsibilitiesHands-On Leadership & Team Management Lead a growing team of approximately five data professionals across engineering, analytics, data science, and governance. Be a hands-on leader who actively engages in code reviews, model reviews, and technical deep dives to stay connected to the day-to-day realities of engineering and data science work. Set a high technical bar while mentoring and developing team members, fostering a culture of innovation, ownership, and collaboration. Data Acquisition & Partnerships Lead the end-to-end strategy for acquiring first-party, second-party, and third-party data sources aligned to business priorities. Evaluate and negotiate data licensing agreements and strategic partnerships to grow our data asset portfolio. Design robust, scalable, and compliant ingestion pipelines for efficient data integration and enrichment. Risk, Fraud, and Credit Model Development Utilize data science, machine learning, and AI techniques to design, test, and deploy advanced risk, fraud, and credit scoring models.Commercial Applications of Data Identify, define, and execute on opportunities to monetize data assets—both directly and through data-enabled products and services. Partner closely with Product, Sales, Marketing, Strategy, and Customer Success to integrate data insights into go-to-market initiatives and client-facing solutions. Translate data into actionable business intelligence that informs strategy and drives measurable business growth. Scalability & Operational Excellence Build scalable, repeatable processes for data management—spanning integration, transformation, quality assurance, and delivery. Champion the adoption of modern data platforms and tools (e.g., Snowflake, Databricks, dbt) to support real-time decision-making and automation. Develop and lead a high-performing data team across engineering, analytics, data science, and governance, fostering a culture of innovation, collaboration, and accountability. Data Governance & Compliance Own and evolve data governance frameworks to ensure integrity, quality, security, and compliance with global regulations (e.g., GDPR, CCPA). Establish clear data ownership and stewardship models, along with standardized policies for access, lineage, and privacy. Proactively manage data risk and embed ethical practices into all aspects of data use and monetization. Cross-Functional Collaboration Partner with engineering, product, finance, and other internal teams to ensure alignment on data initiatives. Serve as the internal advocate for data as a strategic asset, ensuring organizational alignment around data value and strategy. Requirements Bachelor’s or Master’s  in Data Science, Computer Science, Statistics, or a related discipline 10+ years in data leadership roles, including at least 5 years leading large-scale data initiatives in fast-paced, data-driven environments. Experience with risk technology or credit modeling in enterprise contexts is a strong plus. Proven expertise in monetizing data assets and building governance structures at scale. Strong understanding of data platforms (e.g., Snowflake, Databricks), cloud architecture, data pipelines, and modern analytics tooling. Demonstrated ability to lead multidisciplinary teams, craft vision and strategy, and drive tactical execution. Outstanding communication and stakeholder management skills, with the ability to convey complex data concepts to technical and non-technical audiences. Deep experience in data science, machine learning, AI, and credit or risk modeling. Strong problem-solving and data interpretation skills with a focus on delivering results. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off 9 paid Holidays Family Leave Work From Home Free Food & Snacks (Access to Industrious Co-working Membership!) Wellness Resources