Data Engineer

🏢 Summary: Founding Technical Recruiter role focused on building and scaling the full-cycle recruiting function for technical teams including AI/ML, Engineering, Data, and Design. The position involves sourcing senior technical talent, partnering with leadership on hiring strategy, and creating recruiting processes and infrastructure for a fast-growing AI company. 🗂️ Requirements: 4+ years of full-cycle technical recruiting experience, Experience recruiting for senior and staff-level engineering roles, Strong sourcing experience for hard-to-fill technical positions, Experience in a fast-growing product-led startup, Ability to use recruiting metrics and pipeline data, Experience building recruiting processes and interview frameworks, Ability to work autonomously and manage end-to-end searches, Willingness to work in person in SF or NYC office 📃 Skills: Recruiting, Sourcing, ATS, AI, ML, Data, Engineering, Analytics 🏢 Description: Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One.The RoleWe're hiring our first dedicated recruiter. Nearly every open role at Stuut today is technical—AI/ML, voice infrastructure, applied AI engineering, data, and design—and the pace of hiring is only accelerating. As our Founding Technical Recruiter, you'll own the full recruiting lifecycle for these roles, from sourcing through offer, and build the talent function itself: the processes, tooling, employer brand, and hiring standards that will carry us through the next several years of growth.You'll report directly to the CEO and partner day-to-day with engineering and product leadership. This is not a role where you inherit a playbook—you'll write it. If you're energized by owning searches end-to-end for senior technical talent, being measured on the quality of the people you bring in, and shaping how a fast-moving AI company scales its team, this is the seat.What You'll DoOwn full-cycle recruiting for technical roles: run searches end-to-end across Engineering, AI/ML, Data, and Design—from kickoff and sourcing through interviews, references, and closed offers.Source proactively and creatively: build pipelines of exceptional senior+ engineers and researchers through outbound, referrals, communities, events, and channels other recruiters haven't thought of yet. Top candidates here won't come inbound—you'll go find them.Partner with leadership as a trusted advisor: work directly with the CEO and hiring managers to define role scope, success profiles, and evaluation criteria—and be a consistent voice for quality throughout the process.Build the recruiting function from scratch: stand up our processes, interview frameworks, scorecards, and ATS hygiene; establish the metrics and reporting that keep hiring fast and honest.Deliver an exceptional candidate experience: every candidate—hired or not—should leave the process thinking more of Stuut than when they entered it.Champion Stuut's story in the market: represent our product, traction, and technical bar to passive candidates and position Stuut as the place ambitious engineers want to build.Use data to get better every week: track pass-through rates, diagnose bottlenecks, and iterate on sourcing and process based on what the numbers tell you.You Might Be a Fit If You…Have 4+ years of full-cycle recruiting experience with a focus on technical roles, ideally in-house at a fast-growing, product-led startup.Have owned searches for senior and staff+ engineering talent and can establish instant credibility with technical leaders and candidates.Have strong sourcing chops—you're comfortable building pipelines for hard-to-fill roles rather than waiting on inbound.Have worked somewhere with a very high talent bar and understand the subtle indicators that separate good from great technical talent.Are data-driven: you use pipeline metrics to prioritize your time, spot problems early, and make the case for change.Operate with autonomy—you're used to leading searches end-to-end and prioritizing your own workload without direction.Are excited to build a function, not just fill seats: processes, employer brand, and hiring infrastructure that scale.Want to work in person, at speed, alongside the founders in our SF or NYC office.CompensationTop-of-market salary and equity packageBenefits (for U.S.-based full-time employees)Medical, dental & vision insurance coverage for you401(k) & MatchEquityFlexible PTOParental LeaveCompensationTop-of-market salary and equity packageBenefits (for U.S.-based full-time employees)Medical, dental & vision insurance coverage for you401(k) & MatchEquityFlexible PTOParental LeaveCompensation Range: $180K - $250K

🏢 Summary: High-impact full stack Applied AI role focused on designing, building, and scaling end-to-end systems for a B2B financial operations platform. You will own projects from architecture to production, delivering scalable backend services and modern frontend experiences while collaborating closely with cross-functional teams and customers. The role combines deep technical execution with system design, cloud infrastructure, and engineering leadership in a fast-growing startup environment. 🗂️ Requirements: 5+ years full stack engineering experience, Strong proficiency in Python, Strong proficiency in TypeScript, Experience building scalable backend services, Experience building modern frontend applications, Expertise in database design, Expertise in API development, Strong system architecture knowledge, Experience with modern frontend frameworks (Vue.js, React, or Angular), Experience with backend frameworks (Django, FastAPI, Flask, or Node.js), Hands-on experience with cloud platforms, Experience with containerization, Experience with CI/CD pipelines, Ability to lead complex cross-stack projects, Experience mentoring engineers 📃 Skills: Python, TypeScript, Vue, React, Angular, Django, FastAPI, Flask, Node.js, AWS, GCP, Azure, CI/CD, APIs, Microservices, SQL, Containers 🏢 Description: Stuut is transforming accounts receivable for B2B companies, making collections smarter and faster for organizations that have historically relied on manual, labor-intensive processes. The platform is used by finance teams across industrials, chemicals, and manufacturing sectors, from Fortune 10 brands to scaling midmarkets. The Role We’re hiring a Member of Technical Staff – Applied AI, Fullstack to design, build, and scale end-to-end systems that power Stuut’s platform for B2B financial operations. You’ll work closely with Product, Design, Backend, and Frontend teams, as well as customers, to deliver seamless, high-performance experiences across the entire stack. This is a high-impact role for someone who can own projects from inception through scaling, think across systems, and deliver reliable, user-centered solutions. You’ll play a critical role in shaping engineering culture and product experience, ensuring full stack systems are elegant and scalable. What You’ll Do - Drive the full stack technical vision through cross-functional collaboration across product, design, and engineering. - Lead complex projects spanning frontend, backend, and system integrations, from API design to polished user experiences. - Build end-to-end features from database schema to production-ready UI, ensuring seamless data flow, scalability, and performance. - Design and implement robust backend services, APIs, and microservices while crafting intuitive, responsive frontend experiences. - Continuously improve engineering processes, tools, and systems to scale productivity, reliability, and velocity. - Recruit, mentor, and develop engineering talent, fostering a culture of excellence, humility, and speed. - Engage directly with customers to understand and solve complex workflow challenges. You Might Be a Fit If You… - Have 5+ years of full stack engineering experience with a track record of delivering products at scale. - Are highly skilled in Python and TypeScript, with experience building robust backend services and modern frontend applications. - Have strong expertise in database design, API development, and system architecture. - Are proficient in modern frontend frameworks like Vue.js, React, or Angular and backend frameworks such as Django, FastAPI, Flask, or Node.js. - Have hands-on experience with cloud platforms (AWS, GCP, Azure), containerization, and CI/CD pipelines. - Thrive in early-stage startup environments and enjoy building systems and processes from scratch. - Enjoy engaging directly with customers to shape technical solutions. - Have experience mentoring engineers and shaping high-performing engineering cultures. - Are committed to continuous learning and solving customer pain points through scalable solutions. Compensation Top-of-market salary and equity package Benefits (for U.S.-based full-time employees) - Medical, dental & vision insurance coverage - 401(k) & match - Equity - Flexible PTO - Parental leave Compensation Range: $185K - $250K

🏢 Summary: The role focuses on improving data governance, standardising reporting, and automating workflows to enhance commercial decision-making across regions. It ensures consistent KPI definitions, reliable reporting, and early detection of data issues by aligning business and IT. The position drives scalable analytics solutions and AI-assisted insights within a multinational B2B manufacturing environment. 🗂️ Requirements: 5+ years in similar data/BI role in B2B multinational manufacturing, Hands-on experience with BI tools (Power BI or Tableau), Strong SQL and Python skills, Experience with ERP/CRM systems (SAP, Oracle, Salesforce), Proven experience in reporting standardisation and automation, Ability to define data quality standards and validation rules, Experience coordinating UAT and translating business needs into technical requirements 📃 Skills: PowerBI, Tableau, SQL, Python, SAP, Oracle, Salesforce, ERP, CRM, AI, UAT, DataGovernance, Automation, DataValidation 🏢 Description: This position strengthens commercial decision-making by making reporting trustworthy, consistent, and scalable. You’ll improve how data is governed, reduce reporting noise, and replace manual workflows with automation—working closely with both business stakeholders and IT. Your mission: Teams across regions use the same KPI definitions and reporting logic Data issues are caught early through clear validation standards and monitoring Reporting becomes faster and more reliable thanks to automation Business and IT move in sync on data improvements and system changes What you’ll own: 1) Data quality & governance Set practical rules for data quality (validation checks, standards, documentation) Investigate mismatches between systems/reports and coordinate fixes Build and maintain “how we work with data” documentation (SOPs, definitions) 2) Reporting clean-up & standardisation Align reporting across regions: KPI definitions, structures, and datasets Identify overlapping dashboards and remove duplicates Maintain a clear map of reporting assets and their data sources 3) Automation & modern analytics Spot repetitive/manual reporting tasks and turn them into automated workflows Define requirements and measurable outcomes for automation initiatives Ensure solutions are maintainable, documented, and adopted by the team Use AI-assisted approaches to speed up insights (trend/anomaly spotting, interpretation support) 4) Business–IT delivery Translate commercial needs into data/reporting requirements Support planning and prioritisation of data initiatives Coordinate UAT by identifying the right users and guiding validation What we’re looking for: 5+ years in a similar role within a B2B multinational manufacturing environment Strong hands-on skills with BI (Power BI / Tableau) and data tools (SQL, Python) Solid understanding of ERP/CRM ecosystems (e.g., SAP, Oracle, Salesforce) Experience improving reporting through automation and better visualisation practices Strong stakeholder management: able to influence without formal authority High attention to detail, good organisation, and ability to work across time zones Proactive mindset and interest in new technologies/automation

🏢 Summary: Python Engineer role within the AI team focused on building and scaling core infrastructure for automated machine learning in a regulated financial environment. The position involves optimizing GPU performance, enabling low-latency real-time inference, and developing scalable backend services and CI/CD pipelines for ML models. The engineer will design systems supporting the full AI lifecycle, from training to production deployment. 🗂️ Requirements: Experience with deep learning in production environments, Experience with inference optimisation and transformer-based models or similar architectures, Hands-on experience with GPU-heavy workloads, GPU memory management and performance tuning skills, Degree in STEM or equivalent, Strong computer science fundamentals, Experience designing and operating scalable backend systems in production, Proficiency in Python, Experience with distributed systems, Experience with containerisation and orchestration 📃 Skills: Python, DeepLearning, Transformers, GPU, CI/CD, DistributedSystems, Containerisation, Orchestration, APIs, AutoDL, Inference, Backend, Docker, Kubernetes 🏢 Description: About Revolut People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day. As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution. About the role Our Technology team builds the systems and experiences that keep Revolut moving. From the infrastructure behind our innovative app to the features used by millions of people around the world, they bring sharp thinking, speed, and a focus on meaningful impact to everything they do. We’re looking for a Python Engineer who can write high-quality code and build automated solutions for heavily regulated financial systems. As part of the AI team that's driving innovation and powering products, you'll be developing the core infrastructure behind our central platform that empowers our scientists and engineers to solve tomorrow's challenges today. Up to shape what's next in finance? Let's get in touch. What you'll be doing Improving GPU utilisation and performance across large-scale workloads Ensuring low-latency, high-throughput predictions in production environments Designing, building, and maintaining scalable services that support the AI lifecycle Building the core infrastructure behind AutoDL, enabling automated training and deployment of ML models Developing infrastructure and APIs that integrate third-party services and grow with the business Implementing and managing robust CI/CD pipelines to validate, deploy, and monitor a diverse range of models Establishing the backbone for AI governance and reproducibility Designing systems for real-time inference on high-load ML use cases Building scalable pipelines for event-driven data (e.g., behavioural, transactional streams) What you'll need Experience with deep learning in production, including inference optimisation and working with transformer-based models or similar DL architectures Hands-on experience with GPU-heavy workloads (memory management, performance tuning for large-scale models) A degree in a STEM subject or equivalent A solid foundation in computer science principles A track record of designing and operating scalable backend systems in production environments Proficiency in Python as your primary language, with command of additional programming languages Expertise in distributed systems and modern infrastructure practices, like containerisation and orchestration Compensation range Poland: PLN28,300 - PLN40,000 gross monthly* Other locations: Compensation will be discussed during the interview process *Final compensation will be determined based on the candidate's qualifications, skills, and previous experience Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.

🏢 Summary: Python Software Engineer role focused on building and scaling the core infrastructure powering a global AI ecosystem, including large-scale data pipelines and Generative AI applications. The position involves designing production-grade backend systems, APIs, and CI/CD pipelines to support the full AI/ML lifecycle. You will ensure scalability, low latency, governance, and reproducibility of AI systems deployed at global scale. 🗂️ Requirements: Degree in STEM field or equivalent, Strong foundation in computer science principles, Proven experience designing and operating scalable backend systems in production, Proficiency in Python, Experience with additional programming languages, Expertise in distributed systems, Experience with containerisation and orchestration, Hands-on experience with AI/ML lifecycle including deployment and model management 📃 Skills: Python, APIs, CI/CD, DistributedSystems, Containerisation, Orchestration, MachineLearning, GenerativeAI, DataPipelines, ModelManagement, Backend, SDKs 🏢 Description: About Revolut People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day. As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution. About the role Our Technology team builds the systems and experiences that keep Revolut moving. From the infrastructure behind our innovative app to the features used by millions of people around the world, they bring sharp thinking, speed, and a focus on meaningful impact to everything they do. Revolut's AI department drives innovation, powering products through a central platform and building specialised AI-driven systems deployed worldwide. Our mission is to build a world-class automated foundation that empowers our scientists and engineers to solve tomorrow's challenges today. We're looking for a Python Software Engineer to build the core infrastructure that powers our AI ecosystem — from large-scale data pipelines to Generative AI applications. You'll create modern, production-grade systems from the ground up, solving complex engineering challenges at a global scale. Up to shape what's next in finance? Let's get in touch. What you'll be doing Designing, building, and maintaining scalable services that support the AI lifecycle Developing infrastructure and APIs that integrate third-party services and grow with the business Implementing and managing robust CI/CD pipelines to validate, deploy, and monitor a diverse range of models Building and scaling APIs and SDKs for serving AI models and systems Ensuring low latency and high availability to meet business needs Partnering with product teams to design and deliver accessible AI solutions Building frameworks to track data drift, model decay, and operational health Establishing the backbone for AI governance and reproducibility Versioning data and models and managing a central feature store Tracking lineage to ensure a clear, auditable path from research to production What you'll need A degree in a STEM field or equivalent A solid foundation in computer science principles A proven track record designing and operating scalable backend systems in production environments Proficiency in Python as your primary language, with solid command of additional programming languages Expertise in distributed systems and modern infrastructure practices, like containerisation and orchestration Hands-on experience addressing challenges across the AI/ML lifecycle, including deployment, orchestration, and model management Nice to have Experience with infrastructure as code (IaC) tools, like Terraform or Ansible Familiarity with frameworks for high-performance model serving, especially for large-scale or Generative AI models Experience building internal platforms or developer tools Experience integrating third-party APIs and services to build resilient, production-grade solutions Knowledge of data and model versioning strategies and tools Side projects or contributions to open-source projects Compensation range Krakow: PLN9,500 - PLN15,700 gross monthly* Poland: PLN9,500 - PLN15,700 gross monthly* Other locations: Compensation will be discussed during the interview process *Final compensation will be determined based on the candidate's qualifications, skills, and previous experience Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.

🏢 Summary: Senior Full Stack Engineer role focused on owning and delivering AI-native production systems end-to-end, from backend and infrastructure to frontend layers. The position involves architecting scalable services, building retrieval and LLM-based pipelines, and solving complex distributed systems challenges in cloud environments. It requires high autonomy and strong engineering judgment to ship reliable, high-performance systems. 🗂️ Requirements: 8+ years of experience building and shipping production systems, Strong system design and data modeling skills, Experience with backend development in Python, Experience designing and building scalable APIs, Experience with PostgreSQL and Redis, Experience working with distributed systems, Experience deploying systems to cloud platforms (GCP, AWS, or Azure), Ability to design, build, and deploy systems end-to-end independently, Strong understanding of concurrency and performance optimization 📃 Skills: Python, PostgreSQL, Redis, Temporal, Hatchet, GCP, AWS, Azure, Kubernetes, LLM, APIs, Embeddings, Reranking, DistributedSystems, Concurrency, SystemDesign 🏢 Description: Senior Full Stack Engineer Streetbeat Streetbeat builds AI-native software for financial institutions. We design and operate production systems where LLMs, data infrastructure, and real-world constraints intersect . Our products are used across Europe and the United States by institutions that expect reliability, precision, and performance. We are deliberately small, highly selective, and deeply focused on execution. We value clarity of thought, technical depth, and the ability to ship meaningful systems quickly . This is not a company optimized for headcount. It is optimized for talent density . The Role We are looking for a Senior Full Stack Engineer who can take full ownership of complex product surfaces and bring them to production with precision. You will operate across backend systems, infrastructure, AI pipelines, and frontend layers. The work is varied, but never trivial: from designing resilient APIs to improving retrieval systems, from debugging distributed systems to refining critical user workflows. You will be trusted to navigate ambiguity, make high-quality decisions, and execute without friction . This role is designed for engineers who are not just implementers, but builders with taste, judgment, and depth . What You’ll Do Own systems end-to-end, from initial concept to production deployment Architect and build backend services using Python, PostgreSQL, Redis, Temporal, and Hatchet Design APIs that are both robust and elegant, supporting real-world usage at scale Work on AI-native systems: retrieval pipelines, embeddings, reranking, agent workflows, and evaluation layers Improve performance, reliability, and observability across the stack Solve non-trivial infrastructure challenges across GCP, AWS, and Azure Diagnose and resolve complex production issues in distributed systems Collaborate closely with product and leadership to shape direction—not just execute on it Make pragmatic, high-leverage technical decisions with strong engineering judgment What We’re Looking For 8+ years of experience building and shipping production systems Strong fundamentals in system design, data modeling, concurrency, and performance Demonstrated ability to take products from idea to production independently Comfort operating across multiple layers of the stack when necessary Strong product intuition and attention to user experience High ownership, autonomy, and accountability Ability to learn quickly and reason from first principles Clear, structured communication A genuine interest in understanding how systems work at a fundamental level Nice to Have Experience working with LLM-based systems in production Familiarity with Kubernetes and modern cloud infrastructure Strong debugging instincts and a bias toward root cause analysis Experience in high-performance or fast-scaling startup environments You Don’t Need Prior experience in fintech or trading Who Thrives Here Engineers who derive satisfaction from shipping high-quality systems People who prioritize substance over optics Individuals comfortable operating with high autonomy and low process Builders who can translate ambiguity into well-structured solutions Those who seek responsibility and impact , not permission People who care about quality - but understand when to ship Why Streetbeat Immediate and tangible impact on real systems used in production High ownership with minimal bureaucracy Exposure to complex, meaningful technical challenges A small, highly capable team with strong engineering standards Competitive compensation aligned with talent and impact Offices in Italy, Poland, and Palo Alto, with opportunities to travel Streetbeat is built for engineers who value depth, clarity, and execution - and who want to be surrounded by others who do the same.

🏢 Summary: Permanent Product Manager role focused on reimagining financial institutions’ operations by designing and launching AI-native solutions that replace legacy back-office workflows. The position owns the full product lifecycle and acts as a domain expert in regulated financial environments, driving ROI for enterprise clients. The role requires deep expertise in financial operations and building AI-powered automation from scratch. 🗂️ Requirements: 5+ years of product management experience, Experience in financial services operations (operational side of financial institutions), Experience building products for operations, risk, or compliance users, Experience owning full product lifecycle from discovery to launch, Ability to define and communicate ROI-driven value propositions for enterprise buyers, Strong customer discovery and validation skills, Experience working in regulated financial environments, Hands-on experience building AI-native workflows and automation 📃 Skills: AI, ProductManagement, FinancialServices, Operations, Compliance, Risk, Automation, Cursor, Copilot, Claude, Replit, AIagents, Scripting, Regulations, WorkflowAutomation 🏢 Description: Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant. We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies. Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.About the Role: Financial institutions are full of operational pain points that haven't been meaningfully addressed in decades. Manual workflows, legacy tools, and inefficiency cost the industry billions. Your job is to go deep into how these institutions actually operate, identify the highest-impact friction points, and build AI-native solutions that fundamentally change the way things work. This isn't about wrapping AI around broken processes. It's about reimagining how these workflows should function when AI is the starting point. This is a domain-expert, permanent role (not a rotation) because customer relationships and regulatory knowledge compound over time. Your expertise is the moat. Key Responsibilities Discover and validate the highest-value operational pain points at financial institutions through deep customer engagement Design and build AI-native solutions from scratch: not incremental improvements to legacy workflows, but fundamentally new approaches Own the full product lifecycle: discovery, validation, build, launch, and iteration for each solution you bring to market Be the customer-facing domain expert: spend time with FI operations teams, understand their workflows at a granular level, and translate pain into product Define outcome-based value narratives for enterprise buyers: prove ROI in terms that CFOs and operations leaders care about Navigate regulatory complexity as a first-class product constraint: financial operations are heavily regulated, and compliance shapes the product, not the other way around Partner with platform teams to leverage shared AI infrastructure and capabilities Required Qualifications 5+ years in product management Experience in financial services operations you've worked in or built products for the operational side of financial institutions (not just consumer-facing apps) Built products where the user is an operations, risk, or compliance professional you understand back-office workflows at a granular level Experience defining ROI-driven narratives for enterprise buyers: you sell business outcomes, not feature lists Comfortable being the domain expert who educates engineering teams and peer PMs on industry nuance Strong discovery instincts you know how to find the real pain points, not just the ones customers articulate AI-native workflow: You build with AI daily — analyzing data, building prototypes, generating regulatory summaries, automating repetitive research. The specific tools don't matter (Cursor, Copilot, Claude, Replit, custom scripts — all count); what matters is that you've moved beyond prompting into building Preferred Skills Working knowledge of financial operations regulations (collections, fraud, compliance, lending): highly valued but learnable for candidates with adjacent financial services experience Financial institution experience Built AI-powered automation for back-office or operations workflows Experience with outcome-based or performance-based pricing models Experience identifying and validating new product opportunities through customer discovery Who you are? You're the person who has sat with operations teams at financial institutions and watched how they actually work: the spreadsheets, the manual queues, the workarounds that exist because nobody built them a real tool. You see friction that others accept as normal, and you immediately start thinking about what an AI-native solution looks like. You understand regulated environments viscerally. You don't treat compliance as a checkbox, you treat it as a design constraint that makes the product better. You've built products where a regulatory misstep isn't just a bug; it's a lawsuit. You're customer-facing and credible. Operations leaders at financial institutions trust you because you speak their language and understand their world. You can present ROI to a CFO and workflow details to an operations manager in the same meeting. You build your own tools. You use AI to analyze operational data, prototype solution workflows, generate regulatory requirement maps, and accelerate every aspect of your domain work — building agents, writing scripts, creating automated workflows, whatever gets the job done fastest. You see AI as both the product you're building and the way you build it. Our Values Act Like You're the Founder: Own the outcome from start to finish No Fear. Speak Your Mind: Candor moves us forward Pursuit of Excellence: Raise the bar, every time AI-First Mindset: Think automation, intelligence, and scale-first in every solution Don't Assume. Seek to Understand: Start with questions, not conclusions How We Work? Every PM builds with AI daily. Our standard toolkit is Cursor, MCP integrations, and custom AI agents — and we onboard every new hire on these tools in their first week. We hold a high quality bar and move at startup speed. Flat organization. No empire-building. Compensation Base Salary is expected to be between $175,000 - $225,000, plus 10%bonus and stock options. Exact compensation may vary based on skills and location. Benefits 100% paid health, dental & vision care 401(k) match & financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness & family benefits A mission-driven team shaping the future of banking At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

🏢 Summary: Permanent Product Manager role focused on reimagining financial institution operations through AI-native solutions. The role involves identifying high-impact operational pain points and building end-to-end AI-driven products that replace legacy workflows in regulated banking environments. You will own the full product lifecycle and deliver ROI-driven solutions for enterprise financial institutions. 🗂️ Requirements: 5+ years product management experience, Experience in financial services operations, Experience building products for operations, risk, or compliance users, Experience owning full product lifecycle, Experience defining ROI-driven enterprise narratives, Strong customer discovery skills, Experience working in regulated financial environments, Hands-on use of AI tools for building prototypes and workflows 📃 Skills: AI, MachineLearning, Automation, ProductManagement, DataAnalysis, Prototyping, Compliance, FinTech, Cursor, Copilot, Claude, Replit 🏢 Description: Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant. We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies. Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.About the Role: Financial institutions are full of operational pain points that haven't been meaningfully addressed in decades. Manual workflows, legacy tools, and inefficiency cost the industry billions. Your job is to go deep into how these institutions actually operate, identify the highest-impact friction points, and build AI-native solutions that fundamentally change the way things work. This isn't about wrapping AI around broken processes. It's about reimagining how these workflows should function when AI is the starting point. This is a domain-expert, permanent role (not a rotation) because customer relationships and regulatory knowledge compound over time. Your expertise is the moat. Key Responsibilities Discover and validate the highest-value operational pain points at financial institutions through deep customer engagement Design and build AI-native solutions from scratch: not incremental improvements to legacy workflows, but fundamentally new approaches Own the full product lifecycle: discovery, validation, build, launch, and iteration for each solution you bring to market Be the customer-facing domain expert: spend time with FI operations teams, understand their workflows at a granular level, and translate pain into product Define outcome-based value narratives for enterprise buyers: prove ROI in terms that CFOs and operations leaders care about Navigate regulatory complexity as a first-class product constraint: financial operations are heavily regulated, and compliance shapes the product, not the other way around Partner with platform teams to leverage shared AI infrastructure and capabilities Required Qualifications 5+ years in product management Experience in financial services operations you've worked in or built products for the operational side of financial institutions (not just consumer-facing apps) Built products where the user is an operations, risk, or compliance professional you understand back-office workflows at a granular level Experience defining ROI-driven narratives for enterprise buyers: you sell business outcomes, not feature lists Comfortable being the domain expert who educates engineering teams and peer PMs on industry nuance Strong discovery instincts you know how to find the real pain points, not just the ones customers articulate AI-native workflow: You build with AI daily — analyzing data, building prototypes, generating regulatory summaries, automating repetitive research. The specific tools don't matter (Cursor, Copilot, Claude, Replit, custom scripts — all count); what matters is that you've moved beyond prompting into building Preferred Skills Working knowledge of financial operations regulations (collections, fraud, compliance, lending): highly valued but learnable for candidates with adjacent financial services experience Financial institution experience Built AI-powered automation for back-office or operations workflows Experience with outcome-based or performance-based pricing models Experience identifying and validating new product opportunities through customer discovery Who you are? You're the person who has sat with operations teams at financial institutions and watched how they actually work: the spreadsheets, the manual queues, the workarounds that exist because nobody built them a real tool. You see friction that others accept as normal, and you immediately start thinking about what an AI-native solution looks like. You understand regulated environments viscerally. You don't treat compliance as a checkbox, you treat it as a design constraint that makes the product better. You've built products where a regulatory misstep isn't just a bug; it's a lawsuit. You're customer-facing and credible. Operations leaders at financial institutions trust you because you speak their language and understand their world. You can present ROI to a CFO and workflow details to an operations manager in the same meeting. You build your own tools. You use AI to analyze operational data, prototype solution workflows, generate regulatory requirement maps, and accelerate every aspect of your domain work — building agents, writing scripts, creating automated workflows, whatever gets the job done fastest. You see AI as both the product you're building and the way you build it. Our Values Act Like You're the Founder: Own the outcome from start to finish No Fear. Speak Your Mind: Candor moves us forward Pursuit of Excellence: Raise the bar, every time AI-First Mindset: Think automation, intelligence, and scale-first in every solution Don't Assume. Seek to Understand: Start with questions, not conclusions How We Work? Every PM builds with AI daily. Our standard toolkit is Cursor, MCP integrations, and custom AI agents — and we onboard every new hire on these tools in their first week. We hold a high quality bar and move at startup speed. Flat organization. No empire-building. Compensation Base Salary is expected to be between $175,000 - $225,000, plus 10%bonus and stock options. Exact compensation may vary based on skills and location. Benefits 100% paid health, dental & vision care 401(k) match & financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness & family benefits A mission-driven team shaping the future of banking At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

🏢 Summary: Lead Data Engineer role focused on driving architecture and leading a team to build scalable, secure ETL/ELT pipelines and analytics-ready data models on modern cloud platforms. The position combines hands-on engineering with technical leadership, ensuring high standards in governance, observability, and performance optimisation. You will shape data infrastructure that supports large-scale analytics across the organisation. 🗂️ Requirements: Proven experience leading data engineering or analytics engineering teams, Strong programming skills in SQL, Strong programming skills in Python, Hands-on experience with Airflow or Prefect in production, Deep practical experience with dbt, Experience with Snowflake or Databricks at scale, Strong knowledge of dimensional modelling and SCD strategies, Experience implementing data quality and governance frameworks, Experience with CI/CD and automated testing in data systems 📃 Skills: SQL, Python, Airflow, Prefect, dbt, Snowflake, Databricks, ETL, ELT, CI/CD, SCD, Dimensional, Git, IaC 🏢 Description: ABOUT THE COMPANY Our client is a global legal technology company that has been building software for the legal industry for over two decades. Our AI-powered cloud platform is used by leading law firms, Fortune 500 corporations, and government agencies worldwide to organise complex data, surface critical insights, and act on them — across litigation, investigations, regulatory inquiries, and data breach response. We're valued at $3.6 billion and invest over $170 million annually in R&D. We're making substantial investments in data lake technology and distributed systems to support future growth and advanced analytics. Our scale means the data problems here are genuinely hard — and the infrastructure you lead will have real consequence across the organisation. ABOUT THE ROLE We're looking for a Lead Data Engineer to combine deep technical expertise with hands-on team leadership, guiding a team of data engineers building and maintaining ETL/ELT pipelines, data models, and governance frameworks that power analytics and reporting across the organisation. This is a technical leadership role — you'll drive architectural decisions, mentor engineers, and ensure delivery of secure, reliable, and scalable data solutions. You'll collaborate closely with stakeholders to align technical work with business objectives, champion governance and observability standards, and foster a culture of continuous improvement. The expectation is that you're equally effective in an architecture review as you are pairing with an engineer on a tricky pipeline problem. WHAT YOU'LL WORK ON Team leadership and mentorship Lead and mentor a team of data engineers, promoting collaboration, knowledge sharing, and professional growth. Set the standard for engineering quality and hold the bar consistently. Architecture and pipeline design Drive architectural decisions for ETL/ELT pipelines, orchestration frameworks (Airflow/Prefect), and transformation layers (dbt). Facilitate architecture reviews and contribute to design decisions for scalable, fault-tolerant systems. Analytics data modelling Oversee design and implementation of analytics-ready data models — dimensional schemas, SCD strategies, and semantic layers — that internal teams can build on reliably. Engineering best practices Ensure adherence to clean code, modular design, CI/CD, automated testing, and code review standards across all data engineering work. Platform optimisation Manage performance tuning and cost optimisation for Snowflake, Databricks, and related cloud data platforms at scale. Governance and observability Champion governance, observability, and compliance frameworks across all data workflows — including data quality, lineage tracking, and multi-tenant environment controls. Stakeholder communication Communicate effectively with leadership and cross-functional teams to provide updates, resolve blockers, and ensure timely delivery aligned with business objectives. WHAT WE LOOK FOR Proven technical team leadership Demonstrated experience leading data engineering or analytics-focused development teams — mentoring engineers, driving architectural decisions, and owning delivery outcomes. SQL and Python Strong programming skills in both SQL and Python, applied to production data systems at scale. ETL/ELT orchestration Hands-on experience with orchestration tools — Airflow and/or Prefect — in production pipeline environments. dbt expertise Deep practical experience with dbt for transformation workflows and analytics modelling, including testing, documentation, and modular project design. Snowflake and Databricks Familiarity with Snowflake and/or Databricks for large-scale data processing, including performance tuning and cost management. Data modelling principles Solid understanding of data modelling principles, incremental strategies, and schema design for analytics — dimensional modelling, SCDs, and semantic layer design. Governance and data quality Knowledge of data quality frameworks, lineage tracking, and governance in multi-tenant environments. Software engineering practices Familiarity with CI/CD, automated testing, and infrastructure-as-code practices applied to data systems. Communication and stakeholder management Strong communication skills with the ability to operate confidently across technical teams and business stakeholders. THE TEAM You'll join a global engineering organisation working on a platform used by some of the world's largest legal teams. The culture is diverse, inclusive, and driven by high standards. Engineers here work on genuinely complex technical problems at scale — and are supported with the coaching, development, and tooling to keep growing. COMPENSATION & BENEFITS Salary 270,000 – 406,000 PLN per year, plus an annual performance bonus and long-term incentives. Health coverage Comprehensive health, dental, and vision plans. Parental leave Parental leave available for both primary and secondary caregivers. Flexible working Flexible work arrangements, hybrid model. Company breaks Two week-long company-wide breaks per year, plus additional time off. Training investment Dedicated training investment programme to support ongoing professional development.

🏢 Summary: Staff Software Engineer role on the Data Platform team focused on building and leading the next generation of customer-facing data product experiences. The position involves full-stack development across frontend, backend, APIs, and data-driven workflows to transform data capabilities into intuitive product solutions. You will shape product direction, productionize data concepts, and drive high engineering standards in a data-heavy environment. 🗂️ Requirements: Staff-level software engineering experience, Proven experience leading ambiguous, customer-facing product initiatives to production, Strong full-stack web application development experience, Strong proficiency in TypeScript, Strong proficiency in Node.js, Strong proficiency in React, Experience with Python, Experience designing APIs and backend services, Experience with modern web application architecture, Ability to write high-quality, maintainable, and well-tested code, Strong technical communication skills, Collaborative leadership and mentoring ability 📃 Skills: TypeScript, React, Node.js, Python, APIs, Snowflake, dbt, Kafka, Flink, Materialize, AI 🏢 Description: Built's Mission: Connect and simplify doing business in real estate.Built is the AI-powered platform transforming the way real estate is financed, developed, and managed. Purpose-built for real estate and construction, Built began by fixing construction draw management for lenders and has grown into a comprehensive operating system addressing some of the industry's most complex challenges. Today, Built is a partner to more than 350 lenders, over 80,000 borrowers and owners, and thousands of contractors, powering 86,000 active projects valued at more than $300 billion. Learn more at getbuilt.com.__________________________Built is looking for a Staff Software Engineer to join our Data Platform team and lead the next generation of customer-facing data product experiences. In this role, you will build the application layer where Built's data products are discovered, accessed, and used by customers. You will work across frontend, backend, APIs, services, and data-backed application workflows to turn platform capabilities into intuitive product experiences. The Data Platform team already has deep data engineering expertise. We are looking for a product-minded software engineer with strong full-stack application development experience to add depth to the team's software engineering capabilities. This includes thoughtful frontend experiences, well-designed backend services, durable APIs, practical architecture, strong testing practices, and a sharp instinct for what customers actually need. You will help overhaul Built's application-facing data products platform. This includes customer-facing experiences such as data product hubs, market insights, benchmarking workflows, portfolio intelligence, and data-specific agents. The right person is a builder with taste. You care when a workflow technically works but still feels confusing. You notice when a requirement does not map to customer value. You can push back, offer better alternatives, and still partner well when tradeoffs are needed. WHAT YOU'LL DO Lead the design and delivery of Built's application-facing data products platform, including product surfaces, backend services, APIs, frontend flows, and reusable patterns. Build full-stack customer experiences using TypeScript, React, Node.js, Python, and related technologies. Partner with Product to shape ambiguous ideas into useful customer workflows, challenge low-value requirements, and offer practical alternatives. Turn data science prototypes, analytics concepts, and platform capabilities into production-grade product experiences. Bring strong software engineering practices into a data-heavy team through technical design, code review, mentoring, testing, and delivery patterns. Help data engineers take on more software engineering work across frontend, backend, APIs, product decomposition, and production readiness. Collaborate across Built where data products integrate with application surfaces, platform capabilities, agents, or customer workflows. Use customer signals, usage data, product feedback, support issues, and discovery learnings to guide engineering decisions. SKILLS AND EXPERIENCE REQUIRED Staff-level software engineering experience with a track record of leading ambiguous, customer-facing product initiatives from idea through production. Strong product judgment, customer intuition, and ability to identify when a workflow or requirement does not create customer value. Full-stack web application experience, with backend-leaning product engineering depth. Strong experience with TypeScript, Node.js, React, and modern web application architecture. Experience with Python or demonstrated ability to work effectively in Python-based systems. Experience designing APIs, service boundaries, reusable application patterns, and production backend systems. Ability to write high-quality, maintainable code with strong instincts for testing, readability, observability, and operational ownership. Strong technical communication skills, including design docs, architecture discussions, and tradeoff analysis. Collaborative leadership style with the ability to challenge product direction constructively and mentor engineers without condescension. Bias toward customer value over technology for technology's sake. PREFERRED Experience building data-heavy product experiences, analytics products, reporting workflows, benchmarking tools, dashboards, or decision-support products. Experience working with data engineers, analytics engineers, data scientists, or teams that productionize data science prototypes. Experience with AI or agentic product experiences. Familiarity with Snowflake, dbt, Kafka, Flink, Materialize, or similar data platform technologies. Experience in fintech, lending, banking, construction, real estate, compliance-heavy SaaS, or other domains where trust and correctness matter. Experience with product instrumentation, activation metrics, customer adoption, experimentation, or usage-based product iteration. Experience mentoring engineers from adjacent disciplines into stronger software engineering practices. Built's salary range for this position is $170,000 - $245,000 USD per year. The pay range is designed to accommodate upward mobility in the role, therefore it encompasses the full span of proficiency levels for this role and we believe that the midpoint of the range is competitive in the market. Salary is just one component of Built's total compensation package for employees. Your total rewards package at Built will include equity, top-notch medical, dental and vision coverage, an unlimited PTO policy, and other benefits.__________________________Travel Requirement: If the role isn't required to be hybrid or on-site, non-local candidates (not based in Nashville metro) must be able to travel at minimum twice per year to Nashville, TN or another designated location for company-wide events (e.g., "Connect Week"). Additional travel may be required based on business needs and role responsibilities.Perks: The rare opportunity to radically disrupt a $1.5T industry Competitive benefits including: uncapped vacation [US ONLY], health, dental & vision insurance Robust compensation package, including equity in the form of stock options Learning Grant program to support ongoing professional development 401k with match and expedited vesting [US ONLY] Built brings together passionate people who are driven in a variety of disciplines, each bringing their unique perspective to everything they do. We're committed to building a safe, inclusive workplace where every employee can succeed, and we recruit, hire, and promote fairly - without bias based on race, color, religion, sex, sexual orientation, gender identity, marital status, veteran status, or any other characteristic protected by law.Greenhouse Data Disclosure: When you apply to a job on this site, the personal data contained in your application will be collected by Built Technologies ("Controller"). Your personal data will be processed for the purposes of managing Controller's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for current or future employment. You have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. If you would like to contact Controller to ask questions surrounding processing of your personal data or to make a request, you can send an email to privacy@getbuilt.com. California residents: Please note that Controller does not sell your personal data or share it with third parties outside of Greenhouse Software, Inc.