Lead Full Stack Builder Jobs

Machine Learning Engineer – Biometrics (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestra

SLSQ427R271 Databricks is looking for a bold, strategic, and execution-oriented senior executive to lead our Manufacturing industry go-to-market (GTM) motion across Asia Pacific and Japan (APJ). As a key member of our global industry GTM team, you will shape and drive how Databricks engages the industrial sectors in one of the world's most dynamic and complex regional markets. This role reports to the Global GTM Head for Manufacturing, Transportation, and Energy, with deep day-to-day collaboration with APJ sales, field engineering, and GTM leadership. You will operate at the intersection of industry expertise, customer engagement, and commercial strategy - helping Databricks win in a market where data and AI are redefining how physical products are built, delivered, and optimized. If you bring deep industry domain knowledge, a bias for action, and a proven track record of harnessing the transformative potential of data and AI to drive real business value - we want to hear from you. Responsibilities: Lead the strategic and operational execution of GTM initiatives across the manufacturing and automotive industries in APJ, driving pipeline growth and accelerating customer adoption Build strong alignment with APJ sales, field engineering, marketing, partnerships, and product teams to develop and execute industry-specific GTM programs that convert market opportunity into revenue Cultivate and maintain executive-level relationships with customers, partners, and key industry stakeholders across the APJ region — with particular focus on Japan, Korea, and India Develop and deliver thought leadership through industry publications, conferences, and executive briefings to position Databricks as the platform of choice for the industry Provide ongoing analysis of market trends, competitive dynamics, and customer needs to sharpen our industry strategy and identify high-value growth opportunities Define, track, and report on key performance indicators (KPIs) for GTM initiativ

Overview We are seeking a hands-on Director of AI Software Engineering to lead and scale AI engineering efforts supporting multiple business units across Governance, Risk, and Compliance (GRC). This role sits at the intersection of product delivery, platform evolution, and applied AI—driving real-world impact across core workflows. This is not a pure management role. We are looking for a builder who leads from the front, someone who has recently written production code, shipped systems end-to-end, and can operate comfortably in ambiguity while aligning teams and stakeholders. What You’ll Do Lead AI Engineering Across GRC Own delivery of AI-powered capabilities embedded directly into business unit workflows (e.g., risk analysis, compliance automation, reporting, due diligence) Partner with product, data, and platform teams to translate business problems into scalable AI systems Stay Hands-On Contribute to architecture, code reviews, and critical path implementation Prototype and validate new approaches (LLMs, agents, retrieval systems, classification pipelines, etc.) Set engineering standards for performance, reliability, and cost efficiency Build and Scale Teams Lead and mentor a high-performing team of AI/ML and software engineers Drive hiring, coaching, and career development Establish a culture of ownership, speed, and technical excellence Drive Execution Deliver production-grade systems—not experiments Balance speed with rigor (security, privacy, compliance) Operate across multiple concurrent initiatives with clear prioritization Communicate and Influence Act as a bridge between engineering and business stakeholders Clearly articulate trade-offs, risks, and outcomes to senior leadership Align cross-functional teams around shared goals and timelines What We’re Looking For Proven Builder 10+ years in software engineering, with recent hands-on coding experience Demonstrated track record of shipping production systems at scale Experience with modern

Principal Consultant – Non-Financial Risk (Enterprise Risk) Location: London (Hybrid) | Practice Area: Finance, Risk, Regulatory & Financial Crime | Type: Permanent Lead enterprise-wide risk transformation and shape the future of non-financial risk The Role Capco is seeking experienced Principal Consultants with deep expertise in Non-Financial Risk to join our growing Finance, Risk, Regulatory & Financial Crime (FRRF) capability. In this senior role, you'll lead complex client engagements, advise senior stakeholders, and play a key role in shaping and delivering enterprise and operational risk transformation initiatives. Acting as a trusted advisor, you'll contribute to capability growth, proposition development, and team leadership while leveraging approved AI tools and AI-enabled ways of working to enhance analysis, improve delivery, and strengthen decision-making through responsible AI practices and appropriate human oversight. What You'll Do Lead enterprise and operational risk transformation programmes, helping clients strengthen governance, operating models, controls, and risk frameworks while identifying opportunities to leverage AI-enabled workflows and automation. Oversee trade surveillance and market abuse initiatives, optimising detection scenarios, controls, and monitoring capabilities using data-driven insights and responsible AI techniques where appropriate. Advise senior stakeholders on regulatory expectations and translate complex requirements into practical, strategic solutions that improve enterprise risk management and operational resilience. Apply and oversee AI-enabled analytics and model tuning techniques to enhance risk monitoring, alert calibration, and false positive reduction while ensuring appropriate governance, validation, and human oversight. Build trusted relationships with senior client stakeholders while contributing to business development, proposition development, capability growth, and thought leadership across the Non-Fin

Financial Risk Transformation Principal Consultant (Senior Manager) Location: London (Hybrid) | Practice Area: Finance, Risk, Regulatory & Financial Crime | Type: Permanent Lead complex risk transformation across financial services at scale The Role Capco is seeking a Financial Risk Transformation Principal Consultant (Senior Manager) to join our growing Finance, Risk, Regulatory & Financial Crime (FRRF) capability. In this role, you'll lead strategic client engagements, advise senior stakeholders including Chief Risk Officers, and drive transformation across risk functions. You'll play a key role in shaping large-scale programmes spanning liquidity, credit, market, and model risk, helping clients modernise their risk capabilities through data, technology, automation, and AI-enabled ways of working. You'll leverage approved AI tools to enhance insight, improve delivery efficiency, and support better decision-making while applying responsible AI practices and appropriate human oversight. What You'll Do Lead end-to-end delivery of complex risk transformation programmes across liquidity, credit, market, and model risk, identifying opportunities to leverage AI-enabled workflows and automation to improve client outcomes. Advise senior stakeholders on regulatory frameworks including Basel, IFRS 9, and BCBS 239, translating regulatory requirements into practical transformation strategies and sustainable operating models. Design and implement enhanced risk controls, target operating models, governance frameworks, and data-driven reporting solutions that strengthen regulatory compliance and business performance. Drive the responsible adoption of AI, automation, and advanced analytics to improve risk processes, reporting, forecasting, and decision-making while ensuring appropriate governance and validation. Contribute to business development, proposition development, client relationship growth, and the continued expansion of Capco's Financial Risk capability. What We'

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity Search Team at Postman is responsible for enabling users to quickly find and get started with the APIs that they are looking for. Postman is growing at a rapid pace, and this manifests into an ever-increasing volume of data that users create and consume, within their teams and in the Public API Network. We focus on improving discovery and ease of consumption over this data. We are looking for a Senior Engineer with 6+ years of experience deep backend expertise on search and ETL systems and a strong product mindset, to lead core initiatives on our search platform. In this role, you'll work at the intersection of infrastructure, relevance, and developer experience—designing systems that power search across the platform. You’ll bring a bias for action, a strong backend foundation, and the curiosity to explore beyond traditional boundaries, including areas like high performance web services, high volume data pipelines, machine learning, and relevance tuning. What You'll Do Own end to end architecture and roadmap of search platform consisting of distributed indexing pipelines, storage infra and high performance web serve

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit’s lower funnel business is rapidly growing and pushing the heavy ranking web conversion models towards state-of-the-art is critical for continued growth. The Conversion modeling Team plays a pivotal role in developing and maintaining machine learning models that drive user conversions from Reddit Ads, with a special focus on predictive modeling around interactions like purchase, signup, add to cart, and other lower funnel user actions. As we expand our machine learning infrastructure and incorporate new engagement signals, we are looking for a skilled Engineering Manager who can lead this critical team. This role is well-suited for a leader with deep machine learning expertise, strategic vision, and a collaborative mindset to engage with both technical and cross-functional stakeholders. We’re a remote-friendly company, and this position is open to candidates anywhere in the U.S. Target Skills and Expertise The Engineering Manager (EM) will be responsible for defining the team’s vision, setting strategic direction, and executing a technical roadmap for conversion modeling at Reddit. This involves: Model Architectures: Expertise in architecting and implementing deep learning models, with experience in ranking, recommendation, or conversion modeling. ML Frameworks: Proficiency with mainstream ML libraries (TensorFlow, PyTorch). End-to-End ML Lifecycle: Experience in training, testing, and deploying production-grade machine learning models. Data Pipelines: Experience orchestrating large-scale data generation an

CSQ227R258 As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. Location: San Francisco Bay Area Preferred This role is San Francisco Bay Area-focused. We're looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement custo

CSQ127R319 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databri

CSQ127R319 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databri

CSQ127R319 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databri

CSQ127R318 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databri

We are seeking a talented Senior Litigation Counsel to join our legal team. The ideal candidate will independently manage and directly handle complex dispute matters and contribute to our firm's commitment to professional excellence and integrity. WHAT YOU'LL BE DOING: End-to-End Dispute Management: Lead and independently manage multi-jurisdictional commercial litigation, international arbitration, and financial recovery cases (UAE, UK, EU, HK etc.) Litigation Execution: Draft and file legal documents, conduct legal research, manage e-discovery, coordinate local counsels, and handle all phases of litigation (discovery, depositions, trial prep, settlement negotiations) Case & Knowledge Management: Maintain case files, calendars, and management systems; develop litigation strategies; prepare memoranda; and contribute to the firm's knowledge bases and templates WHAT WE'LL LOOK FOR IN YOU : Qualifications: Higher legal education, active admission to practice law, and 7+ years of litigation/dispute resolution experience (law firm or in-house) Legal & Technical Expertise: Strong analytical and research skills, deep understanding of civil procedure and evidence rules, and proficiency in drafting legal documents Tools: Proficiency in e-discovery, legal databases, Google Workspace, Notion, and LLMs Soft Skills: Excellent organizational, communication, and interpersonal skills with the ability to manage multiple cases and deadlines collaboratively NICE-TO-HAVE: Experience in commercial litigation, alternative dispute resolution (ADR) Familiarity with case management software, legal tech, and project management tools Flexibility for extended hours, willingness to travel (court appearances, meetings), and a commitment to continuous legal education WHY SHOULD YOU JOIN OUR TEAM? Remote work from anywhere in the world A welcoming international team of highly qualified professionals An opportunity to work with top-tier tools Access any of our global offices anytime Professi

Req: FEQ427R187 Location: Tokyo, Japan We are looking for a Director, Field Engineering in Japan to join our world-class, hyper‑growth organization. In this role, you will lead first-line Managers and teams of pre-sales Solutions Architects , focusing on complex, strategic accounts and driving our expansion in Japan across manufacturing and automotive . You will partner closely with Sales to grow product consumption, while coaching sales and pre‑sales teams to operate as a single, high-performing unit. You are adept at articulating complex, business value‑focused solutions, supporting sophisticated enterprise sales cycles, and building trusted relationships with senior stakeholders in large Japanese corporations. This role reports to the Technical GM – Japan . The impact you will have Hire and manage first-line Managers and a growing team of technical pre‑sales Solutions Architects . Build a highly collaborative culture within a rapid‑growth team, embodying and promoting Databricks’ customer‑obsessed , team‑oriented , and diverse culture. Increase the return on investment of SA involvement in sales cycles by ensuring the right technical coverage and engagement model. Build long-term, trust-based relationships with customers; understand the local market landscape and trends, and report on forces that shape the strategic direction of accounts. Champion a solution- and value-based selling motion across Field Engineering. Demonstrate a strong understanding of business needs and revenue potential across your territory. Build the Databricks brand in Japan in partnership with the Marketing and Sales teams. What we look for Second-line leadership experience (manager of managers) leading teams of 20+ individuals. Demonstrated success in high‑growth enterprise software pre‑sales, with senior‑level tenure at a reputable software company and deep experience in the Japan market . Proven ability to elevate customer engagement, with a track record of closing large, complex transac

FEQ227R233 MANAGER, FIELD ENGINEERING About the Role As a Manager, Field Engineering, you will lead a team of technical customer advisors who help organizations solve complex data, analytics, and AI challenges. You will work closely with Sales and cross-functional partners to translate customer priorities into effective technical strategies, strong customer outcomes, and durable business impact. This role is typically aligned to an account district, patch, segment, or comparable portfolio and leads a team of approximately 8–10 Field Engineering professionals. You will stay close to the work while building the coaching, operating, and collaboration practices that enable your team to succeed. The Impact You Will Have Lead, coach, and develop a high-performing and inclusive Field Engineering team. Partner with account teams to define technical-win strategy, qualify opportunities, prioritize customer needs, and align team resources. Build trusted relationships with customer stakeholders, including Director-, Head of, and VP-level audiences as appropriate to the engagement. Guide discovery, solution strategy, architecture discussions, adoption planning, and value realization for customer engagements. Establish regular operating rhythms to inspect progress, customer health, technical risk, escalations, capacity, and business impact. Coach team members to communicate clearly, navigate ambiguity, influence stakeholders, and connect technical recommendations to business outcomes. Maintain technical credibility across Databricks platform concepts, data and AI technologies, cloud architecture, governance, security, and networking. Represent customer needs internally and partner with Product, Engineering, Support, Professional Services, Marketing, and Partners to resolve issues and improve outcomes. Create a culture of psychological safety, inclusion, accountability, continuous learning, and recognition. Experiment with AI-enabled tools and repeatable practices that improve tea