We are fueled by a moral imperative to advance mankind, and it all begins with our people, our product, and our purpose. Passion isn’t something we turn on and off; it’s woven into everything we do. If you thrive in high-challenge environments, are inspired by exceptional teammates, and are driven to grow beyond what you thought possible, MX is where you belong. Come build the future with us. Join an award-winning company that isn’t just shaping the financial industry, but transforming it in ways that create meaningful, lasting impact for millions of people. At MX, reliability is a product. Our infrastructure powers financial applications used by millions of people and processes billions of transactions for major financial institutions, and customers feel every second of downtime. We're building a new observability function that runs the way we run incident response: the system does the heavy lifting, and people handle judgment, customers, and the exceptions. As a Senior Observability Engineer, you build and operate an observability control plane. You scaffold baselines, score coverage, and turn every real incident into the detection the platform should have caught. This is a multiplier role: you raise the bar for every team through standards and automation instead of building each team's dashboards by hand. We call it the shepherd model. You shepherd Datadog and partner with our product engineering teams so they observe the right signals for their products. Service owners get real signal instead of noise, and leadership gets coverage and health as a program metric. This role shares the team pager. Observability and incident response run one on-call roster. You take shifts with the rest of the team and act as Incident Commander when an incident needs one. It is core to the role, not an afterthought. Engineering at MX runs hybrid infrastructure (AWS and bare metal) with services in Ruby, Go, and Java, messaging over NATS and RabbitMQ, and data on PostgreSQL an
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Bloomreach is building the world’s premier agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Bloomreach builds agentic AI systems for our customers. We also run them ourselves. Our AI SDR program books sales meetings with AI - inbound and outbound, across four regions, in multiple languages. The program needs an owner: someone who sets its direction, drives its results, and proves its ROI. This is a program leadership role, not an engineering one. Two dedicated AI ops experts build and run the platform. You decide what it does, why, and for whom. You should understand AI agents well enough to direct the people building them - your leverage is judgment, but being tech savvy is a must. The team experiments by default: we test new AI tools, run scoped POCs, and keep what works. You'll own the program, its direction, its results, its pipeline number. What you'll own T
XO Health believes healthcare is fixable. Become part of the community changing the face of the industry. XO Health is the first health plan designed by and for self-insured employers that delivers a more unified health experience for everyone – from those who receive care, to those who deliver it, to those who pay for it. We are growing a multi-disciplinary team of diverse and digitally empowered employees ready to rebuild trust in healthcare through comprehensive and unified transformation. XO Health Product Manager, Claims - India (Remote) About the Role : XO Health believes healthcare is fixable. Become a part of the community changing the face of the industry. XO Health is the first health plan designed by and for self-insured employers that delivers a more unified health experience for everyone, from those who receive care, to those who deliver it, to those who pay for it. We are growing a multi-disciplinary team of diverse and digitally empowered employees ready to rebuild trust in healthcare through comprehensive and unified transformation. XO Health is building its own claims processing platform to power a new generation of claims adjudication, pricing, and payment. The Product Manager for Claims will own the product vision and strategy for this build, translating complex claims operations, EDI, and payer requirements into a clear roadmap the technical team can execute against. This role sits at the intersection of the business and engineering. The Product Manager will partner closely with Claims Operations, EDI, Network, and Compliance stakeholders to understand real-world claims workflows, translate that knowledge into detailed, clear business requirements, and serve as the primary liaison between the business and the technical build team throughout design, development, testing, and launch. This position requires strong product management fundamentals, deep curiosity about claims and healthcare operations, and the judgment to set realistic timeline goals
Bloomreach is building the world’s premier agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. We're building a team of Product Architects at Bloomreach. As a Senior Staff Product Architect, you own or co-own the architecture of a single product , with deliberate overlap across related products so architecture stays aligned where our products meet. You are a product builder first. This is not a role for someone who cares about technology for its own sake: you take genuine part in defining the product — what it should be, who it's for, why it matters — and you bring system-level technical judgment into that definition, not after it. You sit at the intersection of product and engineering: close enough to product decisions to co-shape them, and close enough to the code to know what you're talking about — you'll spend 20–30% of your time hands-on , coding or prototyping. AI runs through everything
About OfficeSpace: OfficeSpace Software provides the leading AI operating system for the built world, that helps teams plan, connect, and perform in the workplace. As a performance-based, PE-backed company, we hire based on merit and a willingness to do what it takes to succeed long-term. You’re a great fit for the role if you’re entrepreneurial, passionate, motivated by building at light speed, and an Agentic AI early adopter. Our world-class teams operate in the US, Canada, and Costa Rica in a culture of trust, respect, growth, and impact. About the role As a Lead Software Engineer at OfficeSpace, you'll shape the future of our workplace platform by building scalable products, leading technical execution, and raising the engineering bar across the team. You'll combine deep technical expertise with strong engineering leadership. From architecting distributed systems to mentoring teammates and designing AI-powered engineering workflows, you'll help us deliver enterprise software that is reliable, secure, and built to scale. This is a hands-on leadership role. We provide the platform. You drive the impact. What you'll do - Lead the architecture, design, and delivery of high-performance applications using Ruby on Rails, React, and modern cloud technologies. - Build scalable, maintainable software that supports enterprise customers across a rapidly growing platform. - Design AI-assisted engineering tools, workflows, and automation that improve developer productivity, code quality, and customer outcomes. - Own projects end-to-end—from technical discovery through production deployment and long-term ownership. - Shift quality left by embedding automated testing, code quality practices, and continuous validation early in the development lifecycle. - Drive predictable delivery by managing scope, balancing technical debt, protecting sprint commitments, and reducing reactive work. - Establish performance benchmarks and continuously optimize application spe
Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About the Role & Team Agentic Amplitude is the team that’s responsible for Amplitude's AI agent strategy. The team shipped the Amplitude Global Agent, Custom agents, and our MCP surface, and continues to deliver new products at a fast pace. The team is small, moves fast and thrives on curiosity, autonomy, and strong cross-functional partnership. We operate with a bias toward rapid iteration and refine our approach as the underlying technology and models advance. This role is the product lead for this surface area. The successful candidate will set the strategy and vision and lead the design and engineering teams to deliver new innovations, while serving as the company’s thought leader on agentic products. Responsibilities Define the direction for Amplitude's agents and MCP surfaces over the next 12 to 24 months, and determine the priorities that will gu
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Compliance Officer - Financial & Data Integrity Programs We are looking for a highly organized, detail-oriented, analytically minded, and commercially aware individual to join our Scheme Compliance team as a Compliance Officer for our Financial & Data Integrity pillar. This role is responsible for supporting the governance, oversight, and continuous improvement of card-network programs relating to transaction-data integrity, cardholder-data security, fraud, disputes, chargebacks, and merchant financial integrity. You will work across Scheme Compliance, Risk, Product, Engineering, Legal, Operations, Commercial, and regional stakeholders to help ensure card-network requirements are understood, consistently implemented, and well governed across the organization. This role is ideal for someone who thrives in structured program environments, can coordinate technical and operational workstreams, and enjoys translating complex network obligations into scalable, defensible compliance processes. What you’ll do Lead and coordinate program-management activities across the Financial & Data Integrity remit, including remediation tracking, program documentation, stakeholder coordination, and continuous-improvement initiatives for card-network monitoring and data-security programs. Support the governance and execution of relevant
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. About the team The Global DPO Office is expanding its presence across regions, with team members currently based in Amsterdam and New York and plans to grow in APAC. We own Adyen’s global privacy program and AI governance, and support incident response and data governance across the business. This means working across teams and regions to turn privacy and data protection requirements into practical ways of working, while helping Adyen respond effectively when issues arise and navigate new challenges around AI and data. The work is varied, high-impact, and often complex. We work closely with colleagues across Adyen to solve problems that don’t always have straightforward answers, balancing regulatory requirements with the needs of a fast-growing, global business. We give people the space to take ownership, develop their expertise, and shape how we approach new and evolving challenges together. The Role We are looking for a driven and enthusiastic Senior Privacy Counsel to join our Global DPO Office in Singapore and drive our privacy work across the APAC region. Working closely with your colleagues in Amsterdam and New York, you will extend and strengthen our global privacy framework across the diverse and fast-evolving regulatory landscape of the Asia-Pacific region, enabling Adyen to grow in some of our most important commercial markets while making responsible choices. This is a builder role. Winning in APAC is one of Adyen's top commercial priorities, and you will be central to it - establishing a scalable regional privacy baseline, advising on complex local data processing and localization requirements, and partnering closely with regional product, engineering, commercial, and second-line teams. You must combine
The Opportunity We're hiring a mid-level Product Designer to be the creative partner behind Enigma's go-to-market efforts. Our identity is mid-refresh, so this isn't a role that only applies to our existing design system, you'll help systematize its evolution. You'll work directly with our marketing lead (a generalist across channels and strategy) to turn GTM ideas into campaigns, web pages, sales collateral, and social content. What You’ll Do Shape GTM creative, don't just execute it. Partner on campaign concepts and go-to-market ideas, bringing your own point of view rather than filling in a pre-set brief. Systematize the brand system. Contribute to Enigma's brand organization including but not limited to maintaining asset libraries, deck templates, and brand guideline documents. Build and update the website. Design and ship pages directly in our custom CMS (deployed on Vercel), from layout to content to launch, alongside marketing and engineering. Create sales and marketing collateral. One-pagers, case studies, pitch decks, and flexible slide systems the team can reuse for sales, marketing, and leadership. Own social and campaign content. Design LinkedIn carousels and campaign graphics, and cut short-form video (“cut-ups”) from longer source material. Design HubSpot campaign assets. Email templates and campaign landing pages that support lifecycle and demand-gen marketing. Prep imagery. Retouch and prepare hero and content images for web, social, and marketing channels. Use AI as part of the workflow. Use Claude, ChatGPT, Gemini etc. for ideation, copy support, team collaboration, and speeding up production, we want someone comfortable working this way, not resistant to it. Maintain consistency. Typography, color, imagery, and tone stay on-brand across every deliverable. What Makes This Role Exciting? Real ownership: you're helping build the brand system, not just maintaining one that's already locked. A true creative partnership: you'll work directly with a mark
Location: San Francisco, CA (hybrid) What is Verse? The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy—it's about unlocking the future of AI. At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy. The Role We're looking for a highly analytical Senior Business Operations Analyst to support the growth and execution of our Dispatch Intelligence product. This role sits at the intersection of business operations, customer, product, engineering, and data science and has two core areas of responsibility. First, you will help drive overall program execution for Dispatch Intelligence: bringing structure to complex cross-functional initiatives, improving processes, tracking progress, and ensuring teams stay aligned on priorities and timelines. Second, you will help build and operate the processes through which flexible energy assets are onboarded onto the Verse platform and continuously improve their operational performance. The ideal candidate combines strong analytical problem-solving with exceptional project management and is comfortable working across both technical and commercial teams. You will play a critical role in helping Verse scale Dispatch Intelligence from individual projects and assets
VTS is looking for an intelligent, self-motivated sales professional to join our team as an Account Executive in our New York office. Our Account Executives are hard working, coachable, curious, adaptable and take a process-oriented approach to closing new business on a quarterly basis. If this describes you and being at the forefront of innovation in the world’s second largest asset class, then we want you on our team! As an Account Executive at VTS, you’ll lead net-new customer acquisition across strategic, high-value accounts. This role is designed for a consultative seller who thrives in complex sales cycles, can operate at the executive level, and consistently closes large, multi-year deals. You will own the full sales lifecycle—from prospecting and discovery through negotiation and close—while partnering closely with Sales Development, Solutions Engineering, Product, and Leadership To thrive in this role you must be driven, and possess an eagerness to learn. A high level of accountability towards a quality work product. You value collaboration, engaging cross-functional partners to solve challenges to ensure the best strategy is applied to the client. You should possess a natural curiosity and desire to understand the business, customer insights, and real estate industry. ** Please note that this opportunity is located in New York, NY, and requires this hire to work from our office 4 days a week. ** What Makes This Job Awesome? Help bring Commercial Real Estate into the 21st Century - map customer’s key issues to our solution Become an expert on the VTS product suite and value proposition (focus on driving tenant experience outcomes on an asset level through VTS RIse) Present to C-level executives on the value of the VTS solution through product demonstrations in person and via web tools Represent VTS and evangelize our vision through in-market events, industry groups, and CRE specific initiatives Prospect, nurture, and close new business&nbs
Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. Lithic's Treasury Operations team owns the movement of money across our card issuing infrastructure — network settlement, sponsor bank transfers, and the reconciliation that keeps it all provable. This is a hands-on, high-ownership role for someone who wants to learn the inner workings of payments and fintech infrastructure, not just observe them from a reporting layer. You'll be running a critical, time-sensitive engine every day — and at the same time, working alongside the Head of Treasury Operations to improve how that engine works as the function scales. You’ll also work cross-functionally across a wide range of teams (Finance, Treasury Engineering, Risk, Analytics, Processing, Customer Success, Bank Operations) — this role sits at the center of a lot of different workflows, not off in a silo. What You'll Do Execution (50%) Own day-to-day execution of network settlement transfers (Mastercard, Visa) and related treasury transfers across sponsor banks Operate in a time-sensitive environment where errors or d
Role Purpose 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 orchestrators like Airflow. Cloud Native: Hands-on ex
Machine Learning Engineer We’re looking for a 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: Multiple 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 orchestrators like Airflow. Cloud Native:
Machine Learning Engineer IV – (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 Strong industry experience in Machine Learning, 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 orchestrators like Airflow. Cloud Native: Hands-on exper
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