AI Product & Operation Jobs

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.The roleAs a Data Scientist in Faculty’s Energy Transition & Environment team, you’ll apply cutting-edge AI to some of the most urgent challenges in the low-carbon transition.From helping National Grid manage a renewable-powered electricity system, to forecasting network flexibility for Northern Powergrid, reducing emissions from SGN’s gas network, and optimising routes for Drift’s energy-generating boats — our projects create measurable real-world impact.This is a hands-on, fast-paced role where you’ll turn complex problems into deployable data science solutions, working side-by-side with customers and multidisciplinary teams to deliver outcomes that matter.What you’ll be doingDesigning, developing, and deploying data science solutions — from exploration to production.Applying advanced statistical, analytical, and machine learning techniques, including Bayesian modelling and time-series forecasting.Translating business problems into solvable data challenges, shaping delivery approaches that maximise value.Working closely with engineers, designers, and product managers to ensure solutions are scalable, maintainable, and impactful.Communicating technical concepts clearly to both technical and non-technical audiences.Contributing to Faculty’s data science community by sharing knowledge, refining best practices, and supporting colleagues.What we’re looking forYou’ll have strong foundations in data science, a creative problem-solving mindset, and curiosity about the energy sector.Experience from quantitative academic research (e.g. STEM PhD) or professional data science roles.Programming experience — ideally in Python or transferable from other languages (e.g. R, MATLAB, C).Solid mathematical reasoning and knowledge of statistics and probability.Experience with machine learning algorithms and data manipulation libraries (e.g. NumPy, Pandas, Scikit-Learn).Strong communication skills and ability to present work confidently to stakeholders.Ability to follow a plan, meet deadlines, and adapt when challenges arise.Bonus skills:Prior commercial or customer-facing experience.Knowledge in NLP, Bayesian inference, computer vision, deep learning, or causal modelling.Experience building web apps or working with MLOps tooling.Why join Faculty?You’ll work alongside exceptional colleagues from diverse backgrounds, united by a passion for solving hard problems with AI. We offer:Complex, high-impact projects in the low-carbon transition.A culture of continuous learning, mentorship, and rapid professional growth.The opportunity to shape a high-growth business and make a tangible difference.At Faculty, you’ll develop faster than you thought possible — and see your work make a real-world impact.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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n8n is a workflow automation platform that uniquely combines AI capabilities with business process automation. We give technical teams the flexibility of code with the speed of no-code, backed by a passionate community of builders. With 500+ integrations and fair-code principles, we're revolutionizing how businesses connect their systems and processes. We were founded end of 2019 and currently: 🧑‍🤝‍🧑 We’re a diverse team of + 120 talented people 🚀 Our annual recurring revenue is growing over 7x year-over-year ⭐️ With +118k GitHub stars, we are in the top 50 most popular projects of all time on Github 🍾 We were the 25th fastest growing startup last year and 4th BtoB SaaS Rising 100 this year in Europe according to Sifted 🌱 We were Sequoia's first seed investment in Germany, and most recently secured our $60M Series B (February '25, led by Highland)As a Senior AI Engineer, you'll drive intelligent features that redefine how users build automations. You'll build AI-powered capabilities, from natural language input to smart suggestions, that make creating workflows faster and more intuitive.You'll collaborate across engineering, product, and design to bring generative AI and LLM-based enhancements into the core user experience. You'll improve existing AI integrations, develop new ones, and shape how AI powers our product.You’ll work across the entire AI feature lifecycle:Architect and implement AI-powered capabilities: code generation, intelligent node creation, and workflow optimizationIntegrate LLM APIs and embedding models for text-to-workflow and natural language code suggestionsDesign and iterate on prompts to improve model output and user experienceBuild internal tooling, evaluation benchmarks, and automated testing for AI componentsCollaborate closely with other engineers to ensure AI features are reliable, performant, and scalableBalance experimentation with impact: ship quickly while focusing on user valueStay current with advances in LLMs, prompt frameworks, and developer tools - and bring those insights into our roadmapRequirements5+ years of experience building web-based products, ideally in B2B SaaS startupsStrong backend development skills with TypeScript, Node.js, and API designProven track record shipping AI-powered features in production with LLM APIs (OpenAI, Anthropic, etc.) and understanding of how to translate machine intelligence into user valueHands-on experience with prompt engineering, embedding models, and vector storesA user-focused mindset: you care about delivering features that solve real problemsA bias for shipping and learning - fast iteration is second nature to youBonus Points ForExperience fine-tuning LLMs or working with retrieval-augmented generation (RAG) systemsFrontend experience using Vue or ReactTechnical writing or documentation contributions, especially around developer tools or AIn8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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n8n is a workflow automation platform that uniquely combines AI capabilities with business process automation. We give technical teams the flexibility of code with the speed of no-code, backed by a passionate community of builders. With 500+ integrations and fair-code principles, we're revolutionizing how businesses connect their systems and processes. We were founded end of 2019 and currently: 🧑‍🤝‍🧑 We’re a diverse team of + 120 talented people 🚀 Our annual recurring revenue is growing over 7x year-over-year ⭐️ With +118k GitHub stars, we are in the top 50 most popular projects of all time on Github 🍾 We were the 25th fastest growing startup last year and 4th BtoB SaaS Rising 100 this year in Europe according to Sifted 🌱 We were Sequoia's first seed investment in Germany, and most recently secured our $60M Series B (February '25, led by Highland)MissionsAs a Senior Engineer on our new Growth team, your mission would be to build and iterate on features and systems that drive user acquisition, activation, and retention - ultimately accelerating n8n’s self-serve growth engine.This is a unique opportunity to be among the founding engineers on a high-impact team where you’ll collaborate closely with product, design, marketing, and engineering peers to improve the entire Cloud user journey - from sign-up to subscription. What You’ll Do🔧 Improve and maintain growth-critical features – You’ll take ownership of flows like signup, onboarding, and the admin dashboard to ensure a smooth, performant experience for every new user🚀 Ship high-impact experiments – You’ll design, build, and A/B test new features to increase conversion and retention — think upgrade flows, contextual prompts, or new pricing nudges🧠 Scale our growth systems – You’ll help build and optimize services to enable user growth at scale, like in-app messaging platforms, billing systems, and email orchestration tools📈 Drive measurable business outcomes - Your work will directly contribute to n8n’s ARR, user retention, and growth KPIs. You'll track performance, identify areas to improve, and ship iteratively to increase activation and retention Projects You Might TackleAdding social login and personalization to our signup flow to optimise the sign-up funnelCreate new onboarding experiences to help users see n8n in action fastBuilding new upgrade and downgrade flows to optimize conversion and retentionBuilding an in-app notification platform to push and orchestrate messages to users RequirementsWho You Are & What You’ll Bring5+ years of full-stack engineering experience with TypeScript/JavaScript, Node.js, and Vue or React (plus HTML/CSS/UI libraries)Experience building user-facing SaaS products end-to-end in a start-up environmentProduct mindedness: you deeply care about the user experience and business impactComfort with ambiguity: You don’t wait for perfect specs, designs, or ideal conditions. You move forward with what’s available and iterate quickly. You know when to ship a fast MVP and when to design for scale.Speed + ownership mindset: You move fast but responsibly, understanding that experimentation and velocity are core to unlocking growth. Nice-to-havePast experience as a founder or early-stage startup engineerData fluency – You know how to interpret metrics and make decisions based on user behavior and experiments.Experience with CI pipelines, cloud deployments, or DevOps toolingExposure to pricing strategy, funnel optimization, or revenue KPIsInterested in learning more about our engineering teams? Check out our different teams to get a better understanding of what they do: Discover Engineering at n8n. Please check all our engineering openings and apply to the team that feels like the best fit for you.n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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OverviewMaincode is building sovereign AI models in Australia. We are training foundation models from scratch, designing new reasoning architectures, and deploying them on state-of-the-art GPU clusters. Our models are built on datasets we create ourselves, curated, cleaned, and engineered for performance at scale. This is not buying off-the-shelf corpora or scraping without thought. This is building world-class datasets from the ground up.As a Senior Data Engineer, you will lead the design and construction of these datasets. You will work hands-on to source, clean, transform, and structure massive amounts of raw data into training-ready form. You will design the architecture that powers data ingestion, validation, and storage for multi-terabyte to petabyte-scale AI training. You will collaborate with AI Researchers and Engineers to ensure every byte is high quality, relevant, and optimised for training cutting-edge large language models and other architectures.This is a deep technical role. You will be writing code, building pipelines, defining schemas, and debugging unusual data edge cases at scale. You will think like both a data scientist and a systems engineer, designing for correctness, scalability, and future proofing. If you want to build the datasets that power sovereign AI from first principles, this is your team. What you’ll doDesign and build large-scale data ingestion and curation pipelines for AI training datasetsSource, filter, and process diverse data types including text, structured data, code, and multimodal, from raw form to model-ready formatImplement robust quality control and validation systems to ensure dataset integrity, relevance, and ethical complianceArchitect storage and retrieval systems optimised for distributed training at scaleBuild tooling to track dataset lineage, reproducibility, and metadata at all stages of the pipelineWork closely with AI Researchers to align datasets with evolving model architectures and training objectivesCollaborate with DevOps and ML engineers to integrate data systems into large-scale training workflowsContinuously improve ingestion speed, preprocessing efficiency, and data freshness for iterative training cycles Who you arePassionate about building world-class datasets for AI training from raw source to training-readyExperienced in Python and data engineering frameworks such as Apache Spark, Ray, or DaskSkilled in working with distributed data storage and processing systems such as S3, HDFS, or cloud object storageStrong understanding of data quality, validation, and reproducibility in large-scale ML workflowsFamiliar with ML frameworks like PyTorch or JAX, and how data pipelines interact with themComfortable working with multi-terabyte or larger datasetsHands-on and pragmatic, you like solving real data problems with code and automationMotivated to help build sovereign AI capability in Australia Why MaincodeWe are a small team building some of the most advanced AI systems in Australia. We create new foundation models from scratch, not just fine-tune existing ones, and we build the datasets they run on from the ground up.We operate our own GPU clusters, run large-scale training, and integrate research and engineering closely to push the frontier of what is possible.You will be surrounded by people who:Care deeply about data quality and architecture, not just volumeBuild systems that scale reliably and repeatablyTake pride in learning, experimenting, and shippingWant to help Australia build independent, world-class AI systems

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Why Casca?Casca is building AGI for banking. We’re replacing decades-old legacy systems with AI-native technology that automates 90% of the manual work humans once had to do. As our founding PM, you'll define and drive Casca's end-to-end product development. We're not just building features—we're creating an entirely new way for banks to operate. You'll collaborate directly with our business & engineering team to transform complex AI capabilities into elegant solutions that make legacy banking systems obsolete. This is a rare opportunity to shape a category-defining product at the intersection of AI and finance. What you'll do:Lead End-to-End Product DevelopmentOversee the product development lifecycle from concept to release, ensuring alignment with Casca’s strategic goals.Define clear product roadmaps based on stakeholder input and user feedback.Drive product development with subject matter experts and designer partners. Lead feature release management & user training materials. Product User ExperienceChampion user-centric design by ensuring products are intuitive, user-friendly, and meet the highest quality standards.Translate complex AI capabilities into simple, transparent user experiences that delight customers.Strategize & InnovateDrive the product vision and strategy by thinking outside the box to deliver AI-native solutions that set new industry standards.Continuously explore emerging technologies and industry trends to keep Casca ahead of the curve.Cross-Functional CollaborationPartner with engineering, design, marketing, and sales teams to deliver a best-in-class product experience.Facilitate effective communication and coordination across teams to ensure timely and successful product launches.What you'll bring:Experience: 4+ years of proven experience as a Product Manager or Product Lead in a fast-paced, tech-driven environment, preferably delivered customer-facing AI technology or financial service products. Technical background: Degree in Computer Science or experience as an engineer preferredAI & Financial Domain Knowledge: Familiarity with AI, machine learning, and/or financial services is highly desirable.Strategic Thinking: Demonstrated ability to think creatively, innovate, and challenge the status quo to develop unique, differentiated products.Cross-Functional Leadership: Excellent communication, collaboration, and influencing skills across diverse teams.Analytical Skills: Strong analytical and problem-solving abilities with a data-driven approach to decision-making.Adaptability: Ability to manage multiple priorities, pivot quickly, and thrive in a dynamic startup environment.What you'll get: Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.As an early-stage company building at the frontier of AI, we work with high intensity and commitment. While schedules can vary by role/team, many weeks will demand extra focus, flexibility and time particularly during major launches and high impact sprints. We're seeking those who are aligned to and able to commit to that expectation which includes 5 days per week in our San Francisco Office.

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Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff. We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale. Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together.Role Summary:At Notable, we believe integrations shouldn’t be a bottleneck — they should be invisible. As the Product Manager for our Connectors Engineering Pod, you’ll own the data backbone that powers Flow Builder, our orchestration engine, and the data stores that feed it. Your mission is to make it effortless for anyone to build automations on our platform — without being a data or integration expert — by delivering a unified data spine, first-class eventing, and resilient, real-time pipelines. The work you lead will turn complex interoperability challenges into simple, reliable building blocks for automation at scale.What You’ll DoSet the vision for how data flows through the Notable platform — from ingestion to orchestration to downstream systems.Lead the roadmap for connectors, eventing systems, and enablement tooling, shaping foundational capabilities that power all future automation.Work closely with engineering to evolve our backbone, using Medplum as our canonical FHIR store and Mirth Connect as our transport layer to handle high-volume, real-time healthcare data streams.Partner with Delivery teams to remove low-value ETL work from flows, enabling richer, context-driven automations with powerful new triggers and events.Build repeatable delivery paths and “integration starter packs” that dramatically shorten time to go-live for new customers.Harden architecture to retire brittle batch jobs and RPA scripts, replacing them with scalable, event-driven integrations.Advocate for interoperability best practices (HL7, FHIR, X12) while keeping our architecture flexible for future data formats.About You5+ years of product management experience, ideally with B2B or enterprise-scale platforms.Proven track record shipping data-intensive products like ETL pipelines, integration engines, orchestration platforms, or real-time event systems.Strong technical fluency — comfortable scoping complex data flows, event models, and transformations before engaging engineering.Excellent communicator, equally at home discussing architecture trade-offs or framing business value for leadership.Thrive in systems thinking, cross-functional collaboration, and fast-moving environments. Bonus PointsExperience with healthcare interoperability (HL7 v2.x, FHIR, X12) and enterprise healthcare technology.Background in data modeling, canonical schemas, or event sourcing.Prior engineering experience or a technical degree.Why This Role MattersData is the spine of our platform. Without it, Flow Builder can’t orchestrate, automations can’t run, and customers can’t realize value. In this role, you’ll be shaping that spine — turning raw, messy, high-volume healthcare data into a clean, reliable, event-driven foundation that accelerates delivery, unlocks new automations, and lets our customers build with confidence.Beware of job scam fraudsters! Our recruiters use @notablehealth.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be me from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.

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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! Solutions Engineers @ IroncladSolution Engineers (SEs) are Ironclad Sales Team’s pre-sale technical experts. SEs collaborate closely with prospects and Ironclad’s Sales, Implementation, and Product teams, forming a critical technical overlay to the sales and solution evaluation.At Ironclad, SEs are creative, value-driven technology experts that love to engage with people. They drive sales through clear communication focusing on customer use cases, technology infrastructure, and solution design. With a comprehensive understanding of Ironclad’s platform, SEs empower prospects to understand how Ironclad can work for them.SEs also help Ironclad improve our platform: the best SEs help capture the most challenging technical requirements observed in the market and translate them into actionable insights for Ironclad’s Product team to develop.Requirements, you must be:Mission-oriented: You’re excited to work on a team that operates at the intersection of human talent and software; you want to put that passion to work in an industry that still skews heavily towards human/manual work. You want to work at a place where you can have an outsized impact.Exceptional communicator: You’re a strong verbal communicator, able to capture an audience with clear and confident language. You can understand and empathize with people even if you have limited subject-matter knowledge of their area of expertise.Technically proficient: You’re an expert at technical configuration and familiar with or have an appetite for learning programming languages such as JSON, HTML and, ideally, JavaScript or similar languages. You recognize that your ability and willingness to develop these skills is an important part of what makes SEs successful in their role as Ironclad’s prospect-facing solution experts.Creative problem solver: You listen well and understand customers' needs. You think outside the box to solve their challenges and deliver a solution that will drive value for the customer.Team player: You can work effectively in teams of technical and non-technical individuals. You are energized by collaborating with diverse teams.Independent: You can learn and drive outcomes with minimal supervision. You have a bias toward action and gravitate towards environments where you have an outsized influence on the success of outcomes for customers and colleagues. You are exceptionally good at making trade-offs based on incomplete data.Experience: 3+ years of Solution Engineering experience. Experience in AI and LLM-based applications.Responsibilities:Listen to prospects' needs and goals. Listening is our #1 strength.Design, build and present custom demonstrations of the Ironclad platform using a prospect’s own contracts and workflows.Build strong relationships with prospects to help Ironclad’s most important and strategic prospects evaluate and ultimately select Ironclad.Collaborate with Account Executives and other internal partners to progress an evaluation forward smoothly.Bring actionable insights back to Ironclad’s Product Team to help us evolve our core product.Partner with your aligned Sales Leader to support pipeline generating activities and overall team success Benefits:Health, dental, and vision insurance401kWellness reimbursementTake what you need vacation policyGenerous parental leave for both primary and secondary caregiversOTE Range: $160,000 - $190,000The OTE range represents the minimum and maximum of the OTE range for this position based at our San Francisco headquarters. The OTE offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our OTE 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.

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Worth AI, a leader in the computer software industry, is looking for a talented and experienced Principal 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.Worth is looking for a Principal Data Engineer to own the company-wide data architecture and platform. Design and scale reliable batch/streaming pipelines, institute data quality and governance, and enable analytics/ML with secure, cost-efficient systems. Partner with engineering, product, analytics, and security to turn business needs into durable data products.ResponsibilitiesWhat you will do: Architecture & Strategy Define end-to-end data architecture (lake/lakehouse/warehouse, batch/streaming, CDC, metadata). Set standards for schemas, contracts, orchestration, storage layers, and semantic/metrics models. Publish roadmaps, ADRs/RFCs, and “north star” target states; guide build vs. buy decisions. Platform & Pipelines Design and build scalable, observable ELT/ETL and event pipelines. Establish ingestion patterns (CDC, file, API, message bus) and schema-evolution policies. Provide self-service tooling for analysts/scientists (dbt, notebooks, catalogs, feature stores). Ensure workflow reliability (idempotency, retries, backfills, SLAs). Data Quality & Governance Define dataset SLAs/SLOs, freshness, lineage, and data certification tiers. Enforce contracts and validation tests; deploy anomaly detection and incident runbooks. Partner with governance on cataloging, PII handling, retention, and access policies. Reliability, Performance & Cost Lead capacity planning, partitioning/clustering, and query optimization. Introduce SRE-style practices for data (error budgets, postmortems). Drive FinOps for storage/compute; monitor and reduce cost per TB/query/job. Security & Compliance Implement encryption, tokenization, and row/column-level security; manage secrets and audits. Align with SOC 2 and privacy regulations (e.g., GDPR/CCPA; HIPAA if applicable). ML & Analytics Enablement Deliver versioned, documented datasets/features for BI and ML. Operationalize training/serving data flows, drift signals, and feature-store governance. Build and maintain the semantic layer and metrics consistency for experimentation/BI. Leadership & Collaboration Provide technical leadership across squads; mentor senior/staff engineers. Run design reviews and drive consensus on complex trade-offs. Translate business goals into data products with product/analytics leaders. Requirements 10+ years in data engineering (including 3+ years as staff/principal or equivalent scope). Proven leadership of company-wide data architecture and platform initiatives. Deep experience with at least one cloud (AWS) and a modern warehouse or lakehouse (e.g., Snowflake, Redshift, Databricks). Strong SQL and one programming language (Python or Scala/Java). Orchestration (Airflow/Dagster/Prefect), transformations (dbt or equivalent), and streaming (Kafka/Kinesis/PubSub). Data modeling (3NF, star, data vault) and semantic/metrics layers. Data quality testing, lineage, and observability in production environments. Security best practices: RBAC/ABAC, encryption, key management, auditability. Nice to Have Feature stores and ML data ops; experimentation frameworks. Cost optimization at scale; multi-tenant architectures. Governance tools (DataHub/Collibra/Alation), OpenLineage, and testing frameworks (Great Expectations/Deequ). Compliance exposure (SOC 2, GDPR/CCPA; HIPAA/PCI where relevant). Model features sourced from complex 3rd-party data (KYB/KYC, credit bureaus, fraud detection APIs) 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

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Worth AI, a forward-thinking company in the computer software industry, is looking for a detail-oriented and analytical individual to join their team as a Senior Data Analyst. At Worth AI, we strive to drive impactful decision-making through insights derived from data, while upholding values of one team, extreme ownership and creating raving fans both internally and for our customers.As a Senior Data Analyst within our fintech organization, you will play a critical role in analyzing and optimizing the data that drives credit decisioning, underwriting, and fraud prevention models. You will work closely with Finance, Risk, Product, and Engineering teams to mine large and complex datasets, build dashboards, write business-critical queries, and help steer the company’s AI-driven underwriting strategy. This role requires both business acumen and technical proficiency, including a solid understanding of data engineering principles and the ability to deliver scalable analytics solutions in a regulated environment.Responsibilities Mine and analyze large-scale credit, transactional, and behavioral datasets to identify trends, anomalies, and insights that inform credit risk, underwriting, fraud, and pricing strategies. Write performant SQL queries to extract, transform, and analyze data across structured and semi-structured sources (including loan-level, customer, and bureau data). Design, build, and maintain interactive dashboards and reporting tools to support Finance, Risk, Credit, and Executive teams in monitoring key performance indicators. Partner with Data, Finance,  Product and Engineering teams to define and track key metrics for credit performance, loss forecasting, and portfolio health. Support the development and ongoing evaluation of AI/ML models by providing exploratory data analysis, historical performance context, and business rule validation. Collaborate with data engineering and data science teams to ensure pipelines are reliable, secure, and meet both operational and regulatory standards. Automate recurring reports and analyses to improve visibility and reduce manual workflows across the credit and finance lifecycle. Contribute to model governance efforts by ensuring documentation, auditability, and transparency of data inputs used in risk models and decision engines. Stay informed on regulatory and compliance requirements related to data usage in financial services (e.g., Fair Lending, ECOA, GLBA) and align analytics practices accordingly. Requirements Bachelor's degree in Data Science, Statistics, Finance, Computer Science, or a related technical field. 4+ years of experience in a data analytics or business intelligence role, ideally in a fintech, financial services, or credit risk environment. Advanced SQL skills and experience working with cloud data platforms (e.g., AWS Redshift, Athena, Snowflake, BigQuery). Strong experience with data visualization tools like Tableau, Power BI, or Looker, and the ability to build intuitive dashboards for business stakeholders. Solid understanding of credit risk concepts, underwriting processes, and key lending KPIs such as delinquency, charge-off rates, loss curves, and approval funnels. Exposure to AI/ML-based decision systems, especially in underwriting, fraud detection, or credit scoring contexts. Working knowledge of data engineering fundamentals and modern data stack tools (e.g., dbt, Airflow, ETL pipelines). Proficiency in Excel for detailed analysis and cross-functional reporting. Bonus: Experience with Python or other scripting languages for data analysis and automation. Excellent communication and problem-solving skills, with the ability to present complex data insights to technical and non-technical stakeholders alike. High standards for data integrity, governance, and regulatory compliance in a financial environment. 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

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Why Casca?Casca is building AGI for banking. We’re replacing decades-old legacy systems with AI-native technology that automates 90% of the manual work humans once had to do. Role OverviewWe're seeking a Senior Software Engineer to spearhead our Core Platform function. In this high-leverage role, you'll design and scale the foundational systems that power our AI-driven lending platform. You'll build scalable, secure, and reliable infrastructure that handles sensitive financial data, integrates AI models for loan processing, and supports high-availability deployments across cloud environments. You thrive on cross-functional collaboration with engineering, product, and compliance teams to deliver velocity, reliability, and compliance in a competitive fintech landscape.What you'll do:Architect and enhance platform features including authentication, auditability, and enterprise integrations across the banking ecosystem.Build and maintain high-performance, developer-friendly infrastructure using containerization (Docker), orchestration (Kubernetes, Helm), and cloud-native services across AWS, Azure, and GCP.Improve reliability, scalability, and compliance for platform services like permissions management, admin reporting, and customizationsDevelop and optimize infrastructure as code (AWS CDK, Terraform) and CI/CD pipelines to automate deployments, ensuring high availability, disaster recovery, and efficient resource utilization.Collaborate with AI engineers to benchmark & integrate models into the core platform.Mentor junior engineers, conduct code reviews, and contribute to best practices for building systems that handle high-volume, mission-critical financial workflows.Create and maintain comprehensive documentation for architecture, runbooks, and operational procedures.Stay ahead of emerging technologies in cloud-native, fintech, and AI infrastructure to drive innovation in our platform.What you'll bring:Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)5+ years of software development experience, particularly in scalable backend and infrastructure systems (e.g., Rust, Node.js, Python, or Go), and modern deployment technologies like Docker, Kubernetes, and Helm.Strong experience with major cloud platforms (AWS, Azure, GCP) and their managed services for compute, storage, and networking.Proficiency in infrastructure as code tools (e.g., AWS CDK, Terraform, Pulumi) and CI/CD automation (e.g., GitHub Actions, Jenkins).Experience with building observability tooling including metrics collection, distributed tracing, logging systems, and monitoring dashboards.Experience with enterprise software features like permissions (RBAC), analytics, audit logs, notifications, self-serve onboarding, and provisioning.Proven ability to mentor and guide technical teams.What you'll get: Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.As an early-stage company building at the frontier of AI, we work with high intensity and commitment. While schedules can vary by role/team, many weeks will demand extra focus, flexibility and time particularly during major launches and high impact sprints. We're seeking those who are aligned to and able to commit to that expectation which includes 5 days per week in our San Francisco Office.

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Why Casca?Casca is building AGI for banking. We’re replacing decades-old legacy systems with AI-native technology that automates 90% of the manual work humans once had to do. Role OverviewWe're seeking a Product Security Engineer to join our team in securing our AI-driven lending platform. In this critical role, you'll collaborate closely with engineering, product, and compliance teams to embed security into every stage of development, ensuring our platform remains protected in a competitive fintech landscape.What you'll do:Build secure-by-default libraries and tools that make the secure path the easiest and most attractive choice for developers and their AI agentsPartner closely with engineering teams to incorporate secure design principles at every stage of developmentReview security-critical code and own key parts of the product, including authentication and access controlContribute meaningfully to the Casca code baseAudit the existing codebase for vulnerabilitiesImprove our static analysis and vulnerability management toolingDiscover vulnerabilities through red team exercisesParticipate in incident responseWhat you'll bring:2+ years of experience in product security, application security, offensive security, and/or security-focused software engineeringProven ability to identify software vulnerabilities, demonstrated through CVEs, bug bounty awards, blog posts, or prior work experienceStrong expertise in web application securityStrong communication and collaboration skills, particularly with engineering teamsBonus points:Open source contributionsExperience red teaming LLMs and AI-native applicationsExperience managing cloud environments (e.g. Azure, GCP, AWS)Experience working at or with a small company or a hyper-growth startupWhat you'll get: Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.As an early-stage company building at the frontier of AI, we work with high intensity and commitment. While schedules can vary by role/team, many weeks will demand extra focus, flexibility and time particularly during major launches and high impact sprints. We're seeking those who are aligned to and able to commit to that expectation which includes 5 days per week in our San Francisco Office.

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About UsAt Union, we are solving one of the hardest challenges in AI infrastructure today: enabling high-velocity iteration while maintaining seamless production-readiness for AI workloads at scale. Flyte, the open-source project we steward, is the emerging standard for modern data and AI orchestration, with numerous leading technology organizations - like LinkedIn, Spotify, and Gojek - running millions of mission-critical workloads on the platform. We have a deep bench of infrastructure veterans from companies in the Big Three and beyond and a technical founding team who originally created Flyte while at Lyft. The Opportunity Reporting into the Head of Engineering, we are currently seeking a highly technical, versatile Distributed Systems Engineer with 10+ years of professional experience building, designing and implementing services and solutions to streamline delivery, installation, and orchestration of data and services in a large-scale AI/ML platform based on the Flyte orchestration framework. Successful candidates will have a broad understanding of multiple cloud vendors, Kubernetes, API design, high-volume, low-latency systems, and thrive in a fast paced environment. We value individuals who enjoy tackling challenges head-on, can communicate effectively across technical and non-technical teams, have a knack for creative problem-solving, and can balance short-term priorities with long-term goals—both as a hands-on technical partner across the organization and as a leader building a high-performing engineering team.In this role, you will:Design and build distributed systems backend services (APIs, Kubernetes controllers, etc) and client components to install, manage, and observe Union services in a Kubernetes native environment.Lead, mentor, and foster the professional growth of a high-performing, collaborative engineering team through effective coaching and guidance.Design, implement, and optimize distribution strategies to facilitate simple and intuitive management of a complex platform in customer controlled environments.Work across multiple cloud vendors including AWS, GCP, Azure, and OCI as well as neo-cloud providers.Develop and maintain services and tooling to make our systems more reliable, secure, and performant.Contribute to architectural decisions and participate in code and design reviews across various teams, ensuring the highest standards of quality and performance.Work closely with broader teams including Backend, Frontend, and Support to improve the experience for our customers.Frontend expertise is a bonus.You will be expected to be in-office.About you:Have 10+ years of experience in deeply technical roles in engineering functions.3-4 years of professional experience leading, managing, growing and coaching a team of engineers.Have a deep passion for all things Kubernetes and the broader container orchestration ecosystem.Can navigate and pick up new technologies quickly.Always think about the big picture and can put yourself in the shoes of the developer and customer.You have hands-on experience with backend programming languages (Go, Rust, Python).Can own complex projects from planning to completion.Bonus: You have a general understanding of building modern web applications using Next.js, React, and Typescript.You can expect to work with the following tools at Union, however, we’re constantly evolving our stack!Languages: Golang, Rust, PythonInfrastructure: AWS, GCP, Azure, OCI, KubernetesCI/CD: Buildkite, ArgoCD, Terraform, HelmBenefits & BelongingAt Union.ai we know that employees who feel their best can build amazing things and we are proud to offer best in class benefits that will continually evolve and grow as the needs of our employees do. Benefits may vary based on countryExcellent medical - We pay 100% of your premiums and 90% for your dependentsGenerous dental and vision plans- We pay 90% of the premiums for you and your dependentsMeaningful equity in the form of options – all employees are owners hereUnlimited time off + 12 company holidays 401K match - Union.ai matches 100% of contributions up to the first 3%, and 50% up to 5%16 weeks paid parental leave for primary and secondary caregiversFlexible work schedule (some restrictions apply)For in office employees: Lunch provided onsite and well stocked kitchen with snacks and drinks. We believe that our differences are what bring us together to achieve truly special outcomes. We strive to be inclusive and focus on building teams that embody that quality too. Union.ai is an equal-opportunity employer and we encourage you to apply, even if your experience doesn’t align exactly with our job description.

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About FirsthandFirsthand has built the first AI-powered Brand Agent platform, transforming the way marketers and publishers engage consumers through their own AI agents, anywhere online.While most AI applications in marketing and advertising focus on back-office automation, the Firsthand Brand Agent Platform™ powers front-line consumer engagement. Operating across both owned properties and paid media, Firsthand's Brand Agents make a company’s expertise accessible in real time, adapting to consumers’ interests and guiding them towards the information they need to take action. Central to the platform is Lakebed™, the company’s AI-first data and knowledge rights management system that ensures brands retain full ownership and control of their expertise.Firsthand is led by Jon Heller, Michael Rubenstein, and Wei Wei, whose previous ventures helped build the foundations of modern digital advertising. Backed by Radical Ventures, FirstMark Capital, Aperiam Ventures, and Crossbeam Venture Partners, Firsthand is shaping the future of AI-driven consumer engagement.Firsthand is headquartered in NYC, with team members working together in-office three days a week.Firsthand is looking to hire a Senior Director, Marketer Sales to drive adoption of Brand Agents with senior marketers at the world’s leading brands.In this pivotal role, you'll educate, evangelize, and drive adoption of a transformative new marketing model: “agents, not ads.” You’ll lead strategic sales to brand-side marketing executives, serve as a consultative partner across innovation and media teams, and help fully commercialize Firsthand’s marketer offering. You'll also collaborate across Firsthand’s buyside motions, supporting publisher campaigns and identifying strategic agency partnerships.You are a seasoned commercial leader with a strong grasp of marketing, media, and technology. You bring experience in ad networks or programmatic, the ability to navigate complex organizations, and the entrepreneurial mindset to shape the offering as you sell it. You're comfortable engaging both business and technical stakeholders and thrive in early-stage environments where the path isn't fully paved.The ideal candidate will be located in the New York metropolitan area. Key ResponsibilitiesLead strategic marketer engagements: Act as the point person for existing marketer-direct relationships, advancing relationships and identifying opportunities to deepen impact.Drive the direct-to-marketer motion: Engage CMOs, Heads of Innovation, and digital marketing leaders to position Brand Agents as a strategic lever for long-term brand and consumer engagement.Develop the marketer offering: Help define and operationalize Firsthand’s holistic offering for marketers, contributing to early commercialization strategy, vertical prioritization, product feedback, and business model development (pricing, contracts, implementation).Lead strategic pitches: Own and lead marketer-focused pitches to build the 2026 pipeline.Collaborate across publisher and agency motions: Partner with internal teams to identify leverage points across publisher demand and emerging agency relationships.Run a disciplined pipeline: Forecast accurately, manage multi-stakeholder deals with rigor, and close high-value opportunities.Act as a strategic partner: Provide structured insights to product and leadership teams to inform positioning, vertical strategy, and GTM readiness.Qualifications10+ years of sales experience, ideally across martech, adtech, or mediaTrack record of success selling to brand-side marketers at large, matrixed organizationsExperience working in or closely with ad networks and programmatic platforms; understanding of agency dynamics a plusAbility to engage both technical and marketing stakeholders, including product, data, and legal counterpartsComfortable in early-stage, pioneering environments; you know how to shape a product while selling itStrategic, scrappy, and adaptive, with strong communication skills and executive presenceEntrepreneurial mindset: excited to help build and refine the offering—not just run the playbookHow to ApplyIf you are ready to embark on an exhilarating journey at the forefront of AI, seize this incredible opportunity and apply here. We eagerly anticipate hearing from you!Note: Compensation and equity will be market-competitive for well-capitalized, early stage startups and will be discussed during the interview process.

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Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit  We're looking for a technical product manager to join our team and help support the execution of PathAI’s product roadmap. The AI Product Manager will work closely with machine learning, pathology, biomedical data science, clinical affairs, quality, regulatory, and business operations teams to ensure that product development goals are being met for successful delivery of a product. The successful candidate will be able to identify, build, and champion AI products in key strategic areas for PathAI.   This role offers the opportunity to help define the product strategy of a fast growing, dynamic business. What You’ll Do Contribute to the development of the roadmap for PathAI algorithm products within a key business unit or disease area, and own the execution of assigned initiatives. Collaborate with stakeholders to gather requirements, define priorities, and align on product direction. Support the development of business cases for new products, product extensions, or platform capabilities. Partner cross-functionally with product designers, engineers, and scientists to deliver high-quality solutions that meet user needs. Monitor product performance, gather feedback, and contribute to continuous improvement initiatives. What You Bring  3+ years experience in product management (preferably bioinformatics, machine learning, or data science). Launch experience with algorithm-based products in life sciences and/or healthcare. Advanced degree in computational biology, biomedical engineering, biology, or related field preferred Experience contributing to the launch of AI-driven or software-based products. Strong collaboration skills and ability to work with cross-functional teams across technical and scientific domains. Curiosity and willingness to learn about oncology, pathology, and AI-powered products. We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way. 

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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 roleAs a Member of Technical Staff, Field Eng at Anyscale, you will be the technical face of our company and biggest advocate for our customers. You’ll work closely with sales, product management, and engineering to ensure that our product has the right experiences and shape to drive value in customer engagements.  The ideal candidate will be a scrappy executor, able to work independently, and lead complex POVs with our users as they adopt Anyscale and Ray. You’ll be on point for demoing our product, scoping POVs, making users successful, and amplifying the voice of our customers. Expect to learn a ton about Ray, Anyscale, and early stage product go-to-market! You’ll be fundamental in helping us disrupt what it means to build distributed applications at scale.  Our product is inherently technical, so we’re looking for folks that know how to communicate about technical products with multiple audiences – whether it’s the C-suite or an individual engineer.As part of this role, you'll be involved inBuilding awesome product demos, tutorials, reference architectures, and blogs demonstrating the strong capabilities of the Anyscale platformKnowing Ray from end-to-end and educating customers on how to use RayWorking with customers as they build applications on RayKnowing the ML landscape and toolsets that are at the forefront of cutting edge techWorking cross-functionally to be the voice of our customers and delivering impactful solutions alongside our product and engineering teams Working directly with customers at every layer of their organization (C Suite to data scientists and developers) and acting as a trusted advisor for our usersHelping us identify potential improvements and gaps in our product and prioritizing features through the development processEfficiently managing stakeholders to ensure that we stay focused on our key objective and metrics in the sales processDriving crisp communication about our products and services, both internally and externallyWorking alongside marketing and Go-to-Market to create and deliver high quality content to evangelize Anyscale and RayWe'd love to hear from you if you have5+ years of pre- and post-sales experience, either as a sales engineer, solutions engineer, architect, customer success engineer/manager, or a consultantStrong technical skills. You should have working knowledge of Python fundamentals, as well as the ability to learn Ray and build Ray applications with various librariesExperience in enterprise SaaS, infrastructure, open source, and/or ML/AI technologiesExperience in public cloud and enterprise infrastructureCustomer success orientation. You are able to demonstrate technical concepts to technical and non-technical audiences, build value with end users, and drive solutions over the lineCross-functional collaboration with technical stakeholders, including Engineering and ProductCompensation:At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent.  As the market data changes over time, the target salary for this role may be adjusted. This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:Stock OptionsHealthcare plans, with premiums covered by Anyscale at 99% for both employees and dependents401k Retirement PlanEducation & Wellbeing StipendPaid Parental LeaveFertility BenefitsPaid Time OffCommute reimbursement100% of in-office meals coveredAnyscale 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 Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.Why we need youFrontier is Faculty’s proprietary Decision Intelligence platform. The Frontier platform empowers organisations by integrating AI models directly into operational workflows and business decision-making processes using simulation and optimisation technologies. One of the core sectors Frontier is focused on is the Life Sciences space, which is where you’ll operate.In this role you will bridge the gap between our product’s advanced AI capabilities and real-world business impact, primarily within our Life Sciences and Healthcare space. You will lead teams of Software Engineers, Data Scientists, and Design specialists, ensuring successful configuration and deployment for enterprise AI transformation programs. Your work will drive meaningful results for our clients, turning their toughest challenges into opportunities for innovation.What you’ll be doingYour role as Senior Manager will evolve as Frontier grows. You will balance strategic vision and operational excellence, forging deep relationships with customers and delivery partners. You will:Lead transformational AI system implementations by scoping solutions that deliver customer value and by navigating complex challenges in partnership with technical colleagues.Manage enterprise life sciences customer accounts, including pricing, contract negotiations, resourcing and identifying growth opportunities.Build trust with senior stakeholders in global life sciences enterprises through delivery excellence and a deep understanding of how Frontier addresses their unique problems.Serve as the customers’ advocate within Faculty, providing feedback and insights to the product development team to enhance customer satisfaction.Create scalable delivery assets, from playbooks and education guides to process improvements that empower delivery partners and customers alike.Collaborate with the business development team to explore novel use cases and strategic growth opportunities for Frontier.Lead multidisciplinary teams of engineering, data science, and delivery personnel, driving coordination and collaboration across functions.Who we’re looking forWe don’t expect you to know exactly how to do this job when you join! We are looking for someone with the right attitude & skills to take on this challenge and adapt with it as the requirements evolve, doing what’s necessary to help Frontier grow.Your consistent high standards and versatility set you apart. You are motivated by solving challenging problems and finding a pragmatic path forwards.You need these qualifications:Extensive experience in technology consulting, product development, or similar customer-facing role.A proven track record of leading teams to deliver technically complex projects, particularly involving AI/ML technologies, leveraging technology platforms.Strong exposure in the Life Sciences industryExceptional communication skills, capable of simplifying complex concepts and fostering trust with both technical and business stakeholders.Experience managing senior customer relationships and influencing across multiple internal teams.A proactive and adaptable mindset, thriving in ambiguity and always finding solutions to drive success.It would be nice if:You have experience delivering deployed software products to complex, enterprise-scale customersYou have previously worked in agile development teams and understand how it applies to B2B product developmentYou have experience with clinical trials for drug development at top 20 Pharma companiesWhat we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time. What You'll Be DoingWorking in our Defence business unit You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the defence and national security space - examples of which can be found hereYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery.The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.We’re a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Leading on the scope and design of projectsOffering leadership and management to more junior engineers on the team Providing technical expertise to our customersTechnical DeliveryWho We're Looking ForAt Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation.We like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchUnderstanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesExperience in Software Engineering including programming in Python.Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platformDemonstrable experience with containers and specifically Docker and KubernetesComfortable in a high-growth startup environment.Outstanding verbal and written communication.Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to executionWhat we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated,  purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy. Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:Join Crusoe Energy as a Staff Data Scientist, an early and pivotal hire on our growing central Data Science and Engineering team. This full-time position offers you the unique opportunity to drive significant impact across product analytics, operations, go-to-market strategies, and capacity planning, playing a key role in Crusoe's mission to meet the ever-increasing demand for AI infrastructure and innovate sustainably.What You’ll Be Working On:Develop Forecasting & Analysis Models: Build and deploy models for capacity planning, financial forecasting, and product analysis to drive strategic decisions.Perform Root Cause Analysis & Prediction: Investigate operational incidents and predict failures, implementing solutions for system reliability and efficiency.Analyze Cloud Infrastructure Products: Conduct deep analysis of cloud infrastructure product usage and performance to identify areas for improvement and guide feature development.Champion Data Quality & Infrastructure: Lead initiatives to maintain high-quality data and contribute to the scalable evolution of our modern data infrastructure.What You’ll Bring to the Team:Analytical Expertise: Demonstrate deep familiarity with core analytical methods including Monte Carlo simulation, predictive analytics, and time series modeling.Technical Fluency: Possess proficiency in SQL and Python for data analysis, alongside a strong understanding of current data infrastructure architectures.Data Visualization Proficiency: Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) to communicate insights effectively.Commitment to Quality: Show a proven track record and passion for data quality.Ownership: As an early hire on the data science team, you’ll be expected to act autonomously to drive forward analytics projects.Bonus Points (but not requirements):Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Data Science, Statistics, Computer Science) or equivalent experience.Experience building cloud infrastructure (e.g., AWS, GCP, Azure).Experience on a growing or early-stage data team, contributing to foundational development.Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid commuter benefit; $200 per monthCompensation:Compensation will be paid in the range of $233,000 - $282,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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Role: Full Stack EngineerRemote (LATAM Preferred) | $4,500–USD 5,500/month About Our ClientOur client is a Germany-based information security consulting firm currently expanding its software capabilities. They specialize in helping companies prepare for information security certifications and are now building an internal platform to streamline consulting workflows and enhance client experiences.About the RoleOur client is looking for a Full Stack Engineer to join their remote team as the first dedicated software developer. You'll work directly with the founder (a software engineer by background) to design, build, and launch a greenfield web application tailored for both internal consultants and external clients.This is a unique opportunity to take full ownership of a core product and help shape its technical direction from the ground up.Key ResponsibilitiesDesign, develop, and maintain a full stack web application (JavaScript/React frontend, Supabase backend — open to other tech choices).Integrate AI tools (e.g., OpenAI) for document generation and developer productivity.Collaborate with the founder and consulting team to gather requirements and iterate on features.Ensure the platform is scalable, secure, and user-friendly.Propose and implement technical solutions with autonomy.Drive the full software development lifecycle — from concept to deployment.What We’re Looking For4+ years of experience as a full stack engineer with strong frontend (JavaScript/React) and backend skills.Experience with cloud platforms (AWS, GCP, or similar).Familiarity with AI-enhanced dev tools (e.g., Cursor, Copilot, Cody) and eagerness to use modern workflows.Ability to work independently and take full ownership of projects.Excellent communication skills in a remote, distributed environment.A track record of building and launching applications from scratch.Bonus: Experience in information security, consulting, or working with European clients.Perks & BenefitsFully remote workGreenfield product ownershipHigh-impact role with autonomy and growth potential

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Role: Full Stack EngineerRemote (LATAM Preferred) | $4,500–USD 5,500/month About Our ClientOur client is a Germany-based information security consulting firm currently expanding its software capabilities. They specialize in helping companies prepare for information security certifications and are now building an internal platform to streamline consulting workflows and enhance client experiences.About the RoleOur client is looking for a Full Stack Engineer to join their remote team as the first dedicated software developer. You'll work directly with the founder (a software engineer by background) to design, build, and launch a greenfield web application tailored for both internal consultants and external clients.This is a unique opportunity to take full ownership of a core product and help shape its technical direction from the ground up.Key ResponsibilitiesDesign, develop, and maintain a full stack web application (JavaScript/React frontend, Supabase backend — open to other tech choices). Integrate AI tools (e.g., OpenAI) for document generation and developer productivity. Collaborate with the founder and consulting team to gather requirements and iterate on features. Ensure the platform is scalable, secure, and user-friendly. Propose and implement technical solutions with autonomy. Drive the full software development lifecycle — from concept to deployment. What We’re Looking For4+ years of experience as a full stack engineer with strong frontend (JavaScript/React) and backend skills. Experience with cloud platforms (AWS, GCP, or similar). Familiarity with AI-enhanced dev tools (e.g., Cursor, Copilot, Cody) and eagerness to use modern workflows. Ability to work independently and take full ownership of projects. Excellent communication skills in a remote, distributed environment. A track record of building and launching applications from scratch. Bonus: Experience in information security, consulting, or working with European clients. Perks & BenefitsFully remote work Greenfield product ownership High-impact role with autonomy and growth potential