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About the Team The DevOps team is responsible for supporting the development teams and interfacing with the infrastructure teams. As a DevOps engineer, you’ll have the exciting opportunity to work in a fast-paced, entrepreneurial environment. What You’ll Do • Drive the design, engineering, integration, and enhancements of DevOps enablement tools and applications by utilizing Site Reliability and DevOps principles suited for an on-prem environment, • Follow software development processes and practices (Functional Specification and Testing, Design Specifications, Code Reviews, Unit Testing, Monitoring), • Document and maintain processes and procedures, • Implement and support established Continuous Integration / Continuous Delivery (CI/CD) practices, • Mentor and train the Technology team on tools that increase the use of automation and improve stability, advocating solutions, • Evaluate new technologies and explore their applicability to address new requirements in our environment Skills and Experience • Bachelor’s Degree in computer science, software engineering or related field, • 3+ years of total IT experience, • 3+ years of development experience in either Python, C#, Java, • Experience building, deploying and maintaining container images (e.g., Docker, Kubernetes), • Experience with one or more configuration management tools (e.g., Ansible, Terraform, Git, Bash), • Experience with system administration, such as provisioning and managing servers, deploying database, security monitoring, system patching and managing internal and experience network connectivity What does it take to be successful in this role? • Excellent problem-solving skills, soft skills, quality, and delivery mindset, • Strong communicator and collaborator, • Ability to thrive in a fast paced, start-up environment with individuals in dispersed locations, • Self-starter, results driven individual with a proven track record, • Experience with trading strategies for securities, options, crypto and trading platforms, • Experience with big data and distributed systems (e.g., Kafka, Cassandra)

We’re looking for a Software Systems Engineer to join our small, focused team working to solve a big, real-world problem: physical inventory. You’ll work directly with the founders to design and build open-source hardware and software systems that automate storage, retrieval, and tracking. This role is central to our effort to create a flexible, small-scale AS/RS solution that can be used in a wide range of environments—not just warehouses with big budgets. What are we trying to solve? We’re redefining how pharmacies operate by combining software and hardware to automate inventory management, the pick/pack process and more. • The Challenge: Speed, accuracy, and reliability are essential for pharmacy operations. Manual processes often lead to inefficiencies, errors, and scalability challenges that impact both operational costs and customer trust., • Our Solution: We’re building a fully integrated software and hardware system that automates storage, handling, and inventory management for pharmacies, ensuring faster, more accurate, and cost-effective operations. What you’ll be doing • Design and develop system-level software architecture that integrates seamlessly with hardware and firmware components., • Write and optimize scalable, reliable software for hardware interfaces and data communication protocols., • Collaborate with hardware and firmware teams to ensure robust integration and end-to-end system performance., • Develop and maintain APIs, communication layers, and middleware to connect hardware systems with higher-level applications., • Implement real-time and asynchronous software systems to handle data processing, system control, and error recovery., • Conduct software performance testing, profiling, and debugging to meet functional and scalability requirements., • Define, execute, and maintain automated testing pipelines for continuous integration and deployment., • Document software architecture, design decisions, and system configurations comprehensively. Requirements • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field., • 3+ years of experience in systems software development and architecture design., • Proficiency in programming languages such as Python, Rust, and Typescript or similar languages., • Strong knowledge of system-level programming concepts, including threading, memory management, and real-time systems., • Experience working with communication protocols (e.g., TCP/IP, MQTT, UART, SPI, I2C)., • Familiarity with software development for embedded systems, cloud-based architectures, or IoT solutions., • Strong experience with tools and frameworks for testing, CI/CD, and version control (e.g., Jenkins, Docker, Git)., • Excellent analytical and problem-solving skills with a focus on system-wide optimization., • Hardware experience: sensors, light curtains, motors, encoders, etc. Practical details • You’ll get a competitive salary, and you’ll get to own part of the company via stock options., • We are based out of midtown Manhattan, and this is an on-site, in-person role. We believe that building the best product is the result of continuous collaboration and short feedback loops., • Benefits, • Fully covered health, dental, and vision insurance, • Flexible PTO, • Team lunches, off-sites Compensation • $100-$150k+ Equity

Job DescriptionData Engineer Employment Type: Full-Time, Mid-levelDepartment: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients’ toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:-Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.-Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices.-Write code to ensure the performance and reliability of data extraction and processing.-Support continuous process automation for data ingest.-Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing.-Work with program management and engineers to implement and document complex and evolving requirements.-Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.-Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications:-Must be a US Citizen.-Must be able to obtain a Public Trust Clearance.-7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.-Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats.-Proficiency in developing ETL processes, and performing test and validation steps.-Proficiency to manipulate data (Python, R, SQL, SAS).-Strong knowledge of big data analysis and storage tools and technologies.-Strong understanding of the agile principles and ability to apply them.-Strong understanding of the CI/CD pipelines and ability to apply them.-Experience with relational database, such as, PostgreSQL.-Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have:-Experience creating and consuming APIs.-Experience with DHS and knowledge of DHS standards a plus.-Candidates will be given special consideration for extensive experience with Python.-Ability to develop visualizations utilizing Tableau or PowerBI.-Experience in developing Shell scripts on Linux.-Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions.-Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package:-Health, Dental, and Vision-Life Insurance-401k-Flexible Spending Account (Health, Dependent Care, and Commuter)-Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit: or contact:Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany Description Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market. We operate in a hybrid/remote model, and this position is fully remote in the United States or hybrid in the Greater New York, Chicago, or Boston metropolitan areas. Job Description Curinos is hiring a Senior Data Engineer to join our Acquire Product team. This team is building a next generation B2B SaaS application that empowers financial institutions to attract customers aligned to their portfolio strategy across products. You’ll work with a diverse team of talented engineers, AI and ML scientists, and product managers to deliver data-driven and high-quality software solutions that meet the needs of our clients. Responsibilities: You'll work with product and engineering teams to: • Design, build, and maintain scalable and reliable data pipelines, including ingestion, storage, validation, governance, monitoring, and ELT patterns, • Proactively identify opportunities and implement solutions to optimize pipeline operations and reduce manual work, • Develop and maintain ETL data pipelines for large volumes of data, writing clean, maintainable, and efficient code, • Maintain and evangelize high standards in software and data engineering best practices (SDLC, testing, scaling, performance), • Work closely with product managers, data scientists, and software engineers to create and prepare datasets from disparate sources to support the development and delivery of cutting-edge ML models and interactive application, • Proactively identify and implement new technologies and improve our reusable tools, • Conduct code reviews and provide feedback, • Participate in agile ceremonies Desired Skills & Expertise: • Advanced proficiency in Python and SQL, • Required experience with Spark, including distributed computing and optimization, • Preferred experience with Databricks (Unity Catalog, Feature Store, Delta Live Tables), • Extensive experience with data pipeline and workflow management tools (e.g., Airflow, Databricks, Glue), • Strong understanding of data engineering best practices (ETL/ELT, monitoring, observability, validations), • Experience with big data, scaling data processing, and distributed computing, • Strong analytical skills—ability to explore, interpret, and transform raw data into structured, high-quality datasets that support business decisions and advanced analytics, • Production support experience, • Minimum 3+ years of professional experience, • Self-discipline and eagerness to learn new skills, tools, and technologies, • Solid verbal and written communication skills Additional Information Why work at Curinos? • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from, • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!, • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!, • Learning and development tools to assist with your career development, • Work with industry leading Subject Matter Experts and specialist products, • Regular social events and networking opportunities, • Collaborative, supportive culture, including an active DE&I program We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at and we’ll do everything we can to help. Inclusivity at Curinos: We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

Job DescriptionAbout Fractional AI Fractional AI builds bespoke GenAI software to transform businesses. We work with customers like Zapier, Airbyte, and Change.org to build their high-impact gen AI applications. Every C-suite in the country is trying to bridge the gap between AI in theory and AI in practice. We close this gap with exceptional engineering talent and custom end-to-end AI builds (see some of our case studies to learn more). We’re profitable, scaling fast, and focused on solving the hardest problems in applied AI. About the role Our customers come to us with ambitious, often fuzzy goals—make content moderation faster, customer service cheaper and better, unlock new integrations, automate the workflows no one else can touch. Your job is to turn those goals into AI-powered solutions that actually work in the real world—and to own the journey from first conversation → live system → real business impact. This is a forward-deployed, full-stack customer role: * Part engagement manager (you’re the primary face of Fractional to the client) * Part product manager (you decide what we build and why) * Part delivery/program manager (you run the execution motion end-to-end) * Part “do whatever it takes” operator (you jump into the gaps to keep things moving) What you’ll do: Own the customer relationship end-to-end * Act as the customer’s day-to-day strategic partner and primary point of contact. * Join early-stage calls, run discovery, synthesize feedback, and keep customers aligned on what we’re building and why. * Build trusted relationships across all levels of an organization, setting clear expectations and being candid about tradeoffs. Shape what we build and why * Define product builds, refine and sequence scope, and identify the highest-leverage use cases. * Translate ambiguous business problems into crisp problem statements, user journeys, and success metrics. * Work with customers to define what “success” actually means—then design experiments, KPIs, and dashboards to prove it. Turn messy problems into shipped solutions * Translate ambiguous customer needs into clear requirements, PRDs, and plans for engineers. * Shape workflows, edge cases, evaluation criteria, and deployment success metrics for AI-powered systems. * Sit in the loop with engineering: prioritization, tradeoffs, testing, evals, and launches. Drive execution across multiple AI builds * Run the day-to-day execution rhythm: stand-ups, planning, check-ins, risk/issue tracking, and runway management. * Coordinate between customers, engineers, designers, and other Fractional teammates to keep projects unblocked and moving. * Own timelines and delivery quality—getting projects across the finish line consistently and calmly, even when things change late. Help create demand, not just fulfill it * Jump on early, messy conversations where the “project” is still a vague idea. * Help founders and sales tease out real pain, sketch solution approaches live, and scope engagements that we can actually deliver. * Spot expansion opportunities and help turn successful deployments into broader, long-term partnerships. Drive adoption and long-term impact * Work with client teams on rollout, enablement, and change management—so the systems you build actually get used. * Monitor performance, gather qualitative and quantitative feedback, and push for improvements where they matter most. * Bring back insights and patterns that inform Fractional’s internal playbooks, tooling, and product direction. Bring judgment and clarity * When requirements are fuzzy, data is messy, or customers change course, you’ll break the problem down and guide everyone toward the highest-impact solution. * Be the person in the room who can say, “Here’s what we’re actually trying to do, here’s what we know, here’s the plan.” What you bring: Customer-facing, high-stakes experience * You’ve led projects where customers were under pressure, stakeholders weren’t aligned, and the path wasn’t obvious. * You’re comfortable pushing back, reframing the problem, and holding the line on quality. Real product & delivery experience * You’ve built and shipped products or services in partnership with engineers and designers—ideally across multiple cycles. * You know how to run an execution rhythm (stand-ups, planning, tracking, retros) without turning it into process theater. Structured problem-solving and communication * You ask good questions, structure chaos, and turn ambiguity into a plan. * You can go from whiteboarding with execs to writing a crisp doc for engineers without losing the plot. Bias for action and ownership * You roll up your sleeves and make things happen, whether that’s writing a scrappy SQL query, drafting a support playbook, or jumping into a last-minute exec demo. Experience range * Typically 4–8 years in product, consulting, implementations, or any role where execution and customer trust mattered more than your job title. (We care more about what you’ve done than the exact label on your resume.) Comfort with ambiguity and intensity * You like high-energy environments, messy problems, and “we haven’t done this before” projects. * You can juggle multiple customers, keep priorities straight, and make good calls with incomplete information. AI curiosity, not AI dogma * You don’t need deep AI expertise on day one. You do need curiosity, strong reasoning, and a desire to learn fast—and to overuse AI in your own workflow. In your first 30 days, you might... * Take full ownership of a live customer project and become their primary point of contact. * Run discovery sessions and turn a fuzzy problem into a clear plan for engineers, complete with success metrics and a first milestone. * Lead regular client meetings, track progress, and keep delivery smooth—flagging risks early and offering options instead of surprises. * Guide high-stakes moments—like demoing a prototype to a CTO or VP, handling sharp questions, and steering the conversation toward outcomes. * Kick off a second project in a totally different industry, learning new workflows on the fly. * Overuse AI: from note-taking and research to drafting docs and testing prototypes. * Plug into Fractional’s rhythm—from Project Lunch & Learns to our monthly Happy Hour—and start shaping how we deliver applied AI, not just what we deliver. Why you should (and shouldn’t) join us We believe in transparency and know joining a company is a big decision. We’re not the best fit for everyone and try to be clear on what we are and what we’re not so you make the choice that’s right for you. Why join Fractional? * A front-row seat to the AI revolution: In one year at Fractional AI, you will have led many 0-to-1 gen AI builds for leading companies, quickly becoming an expert in applied AI. * A huge and growing problem space: Getting gen AI into production is the challenge of our time – with legacy consulting firms already driving several billion dollars per year on genAI advising revenue. Most offerings on the market don’t meet the need – they are one size fits all product solutions or advising services without the engineering team to deliver. We offer the engineering talent to meet the need. * A team of veteran founders: The team is built from multi-time founders and co-founded by Travis May, former CEO of LiveRamp and founder + former CEO of Datavant. Why you shouldn't join? * We are unapologetically building an engineering-first culture. This is how we build the team to meet the moment. We overdeliver for our clients by crafting a culture that enables the best engineers to thrive. * We are a professional services business. Building for clients and their customers is distinctly different from building for your own product’s customer or users. It’s not for everyone. * We are in-person. We’re committed to building an in-person team in our San Francisco and NYC offices. This enables us to learn faster together. For the right person, this is a pro, not a con, but it’s non-negotiable. Our Values We overdeliver. We overuse AI. We “over engineer” the culture. Location San Francisco, CA or NYC offices (4 days in-person, Fridays remote) Compensation & Benefits 🏦 Competitive Compensation Package: Attractive salary and meaningful equity aligned with your experience and skills. 📈 401k with Matching: Invest in your future with our company-matched retirement plan. 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate. 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. 🚑 Health FSA: Manage out-of-pocket health expenses effectively. 🚌 Commuter Benefits: Make your travel to work easier and more affordable. 🏥 Life Insurance: Providing peace of mind for you and your loved ones. 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit. Compensation Range: $160K - $210K

Job DescriptionCareer Renew is recruiting for one of its clients a Backend Engineer - Indexing - Crypto - this is an onsite role in New York or London. As a Backend Engineer, you will play a critical role in building and scaling our real-time data infrastructure at the forefront of crypto and social finance. You'll work on high-throughput data pipelines, analytics systems, and storage solutions in an environment where speed, ownership, and innovation are paramount. * Architect, build, and ship high-performance data solutions at speed, contributing directly to the growth of the world's largest crypto social network * Work across the data stack, from streaming pipelines, data modelling, analytics databases, and real-time processing systems * Rapidly prototype and iterate on new data features, balancing speed with quality in a fast-moving environment * Solve complex technical challenges around data consistency, performance, and scale in a space where innovation and efficiency are the upmost priority * Collaborate closely with a world-class team of engineers and product leaders to push boundaries and redefine what's possible Take full ownership of your work, from initial concept to production deployment and maintenance Who You Are * An engineer with strong experience in any of: backend systems, data engineering, distributed systems, or high-performance computing * Passionate about building highly-performant, scalable platforms that handle massive data volumes and enable real-time insights * Experience with databases, streaming systems, or analytics platforms (e.g. ClickHouse, TimescaleDB, or similar columnar/time-series databases) * Knowledge of Rust, Go, or other systems programming languages * A problem solver who thrives in ambiguity, quickly breaking down challenges and executing solutions * High-agency and ownership-driven, capable of leading features end-to-end with minimal guidance * Experienced in high-growth environments, startups, or fast-moving product teams where speed and impact matter * Excited to work alongside top-tier engineers and contribute to a platform that's redefining how people interact with crypto * Familiarity with crypto, DeFi, or blockchain technologies (nice to have) Why Join Us? If you're the type who thrives in chaos, loves ambitious problems, and wants to build something game-changing, we want to hear from you. At our core, we believe in: Speed over perfection - ship now, iterate later Ownership over bureaucracy - every person here makes big decisions Talent density over headcount - we hire the best, no exceptions Building for the future - crypto moves fast, and so do we

Job Description We are a YC-backed AI startup building the worlds most advanced real-time Speech AI coach used in online calls. Over the past six months, weve grown from $100k to $5M ARR, raised $2.5M from top-tier investors, and assembled a world-class engineering team (ex-Google, Nvidia, Lyft, Amazon) solving hard problems in voice, ML, and real-time infrastructure. We are looking for a senior, hands-on engineer to lead development of our real-time Voice AI Agent and internal ML toolkit. Youll own end-to-end systems across real-time audio, applied ML, and production deployment working directly with our CEO and CTO. What Youll Do * Build and scale our Real-Time Voice AI Agent (LiveKit/WebRTC): streaming ASR/TTS, VAD, diarization, state machines, session management, latency/QoS tuning. * Develop our ML toolkit and ship models to prod (ASR, TTS, VAD, embeddings, speaker ID). DSP, ffmpeg/decoding, ONNX/TensorRT, reproducible pipelines. * Contribute to backend when needed (Nest.js/Node.js, REST/OpenAPI, Postgres/Supabase). * Work on applied ML around LLMs: RAG, function-calling, routing, safety, A/B testing. * Design reliable real-time systems: backpressure, retries, idempotency, batching, caching. * Build data workflows: collection, cleaning, anonymization, synthetic data, offline/online eval. * Own observability & SLOs: Prometheus, Grafana, Sentry, tracing, alerting. * Deploy and operate infra: Docker, GitHub Actions, LiveKit Cloud, Modal/AWS (GPU inference). What We Value * Ability to move fast and deliver (high-intensity, startup mindset). * Experience in big tech / strong VC-backed startups / Yandex / research labs. * Any founder experience (even failed). * Strong engineering fundamentals + taste in product & design. * Open-source contributions, ML/algorithms background, Kaggle/CF/olympiads are a plus. * A public presence: blog, Twitter, engineering posts bonus points. * Clear communication and ability to explain complex systems simply. We do not hire from outsourcing firms, Web3, or gambling. What We Offer * High-ownership role with direct impact on product and roadmap. * Work directly with CEO/CTO every day. * Competitive salary + meaningful equity (company valued at ~$20M last year). * Fully async remote, any timezone (via Deel). * US visa support (O-1). * 12 global offsites per year (last one Bali). * Clear growth path: compensation increases with delivered projects.

Job Description We are seeking an exceptional Staff Machine Learning Engineer to lead the design and development of the next generation of our AI-driven fraud detection platform. You will architect large-scale ML systems that detect and prevent fraud in real time combining deep machine learning expertise with scalable engineering and domain knowledge in financial systems. This is a hands-on technical leadership role, shaping our fraud prevention roadmap and ensuring the platform evolves to meet emerging threat patterns through automation, data intelligence, and generative AI–enhanced detection models. Responsibilities • Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis., • Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and monitoring., • Leverage modern AI techniques, including generative AI, to improve fraud pattern discovery and model robustness., • Design and implement real-time decision systems, integrating with transaction or behavioral data streams., • Collaborate closely with engineering, security, and risk teams to define data strategy and labeling frameworks., • Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases., • Promote engineering excellence — automation, CI/CD, reproducibility, observability, and model governance., • Mentor and guide ML and software engineers, fostering best practices and innovation. Requirements • 5+ years of experience building ML or AI systems in production; at least 2+ in fraud, risk, or anomaly detection domains., • Proven track record designing and maintaining ML pipelines at scale., • Expertise in Python, ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), and CI/CD (GitHub Actions, Jenkins, or similar)., • Strong understanding of supervised / unsupervised learning, anomaly detection, and statistical modeling., • Experience with big data and distributed systems (e.g., Spark, Kafka, Flink, or similar)., • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes)., • Strong collaboration, communication, and cross-team leadership skills. Preferred Qualifications • Prior experience with fraud or financial crime detection, identity verification, or risk scoring systems., • Domain expertise in banking, payments, or transaction monitoring, • Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation., • Familiarity with streaming analytics, graph ML, or time-series anomaly detection., • Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts., • Contributions to fraud detection research, open-source, or AI publications.

Job DescriptionCareer Renew is recruiting for one of its clients a Backend Engineer - Indexing (Data) - Crypto - this is a fully onsite role in NYC or London. As a Backend Engineer focused on data, youll design and scale our real-time data infrastructure at the forefront of crypto and social finance. You will: * Interact directly with Solana full nodes and RPC infrastructure to extract raw on-chain data at high throughput * Build and operate reliable pipelines that ingest blockchain data into ClickHouse (or other OLAP systems) for low-latency analytics * Maintain the accuracy, uptime, and performance of our analytics services, ensuring stakeholders always have trusted insights * Architect, ship, and own high-performance data solutions that power the worlds largest crypto social network * Solve complex challenges around data consistency, scale, and performance where innovation and efficiency are paramount * Collaborate with a world-class team of engineers and product leaders; own your work from concept to production Who You Are * An engineer with strong experience in any of: backend systems, data engineering, distributed systems, or high-performance computing * Passionate about building scalable platforms that handle massive data volumes and enable real-time insights * Experienced with databases, streaming systems, or analytics platforms (e.g., ClickHouse, TimescaleDB, or similar columnar/time-series databases) * Comfortable with Rust, Go, or other systems programming languages * A problem-solver who thrives in ambiguity and executes quickly * Ownership-driven, capable of leading features end-to-end with minimal guidance * Experienced in high-growth environments, startups, or fast-moving product teams where speed and impact matter * Excited to work alongside top-tier engineers and push the boundaries of how people interact with crypto * Familiarity with crypto, DeFi, or blockchain technologies Why Join Us? If you're the type who thrives in chaos, loves ambitious problems, and wants to build something game-changing, we want to hear from you. At our core, we believe in: Speed over perfection - ship now, iterate later Ownership over bureaucracy - every person here makes big decisions Talent density over headcount - we hire the best, no exceptions Building for the future - crypto moves fast, and so do we If you're ready to move fast, break things, and build the future, apply now.

Job Description#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors In conjunction with Product Management and Design, the Engineering team at Nextdoor is responsible for bringing to life our mission of being the neighborhood hub for trusted connections and the exchange of helpful information, goods, and services. Working in small cross-functional teams, you'll work in an agile environment that values code quality, learning quickly, and personal growth through collaboration and challenge. You will collaborate with Frontend, Backend, Data Science, Infrastructure, Machine Learning Engineers and more to collectively improve the state of Engineering at Nextdoor. All engineers are invited to join co-ops to facilitate continuous modernization and knowledge sharing. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees. The Impact You'll Make As a Frontend Engineer on the team, you will be responsible for contributing to the architecture, usability, and reliability of the engineering ecosystem. We believe in empowering our teams to own all aspects of bringing Nextdoor to life. As such, you'll get the opportunity to make key contributions across the Frontend - this includes developing and improving frameworks, in addition to making direct contributions to your team's product area, and collaborating closely with multiple teams, stakeholders, and peers. Software Engineers at Nextdoor have a stake in all aspects of the product - from coming up with the next big ideas to build, to helping set expectations and plan roadmaps, to understanding the impact of new features through rigorous data analysis. As your career at Nextdoor develops, you'll also get the chance to mentor new team members, and grow your role towards what you're most passionate about. What You'll Bring To The Team • 3-5 years of Software Development experience, and/or the ability to perform at an advanced level in the domain, • Experience in modern React, TypeScript, JavaScript, Redux / Recoil, Jest, and CSS, • Experience in at least one server-side web application language is a plus. Python/Django, Java, Kotlin, mobile development, and/or SQL experience is a plus, • Knowledge about GraphQL (Apollo / Relay), accessibility, internationalization, running online A/B experiments is a plus, • Experience with CI/CD systems and testing frameworks is a plus, • Experience within the AWS ecosystem is preferred, • Ability to design and implement heavily used services and systems, • Strong collaboration and communication skills, both verbal and written, • Strong desire to learn new technologies, • Ability to be flexible and adaptable in work environment, • Participate in in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises The starting salary for this role is expected to range from $142,000 to $200,000 USD on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.

Job Title: Azure Data Engineer Location: Weehawken, NJ ( 5 days WFO) Job Type : Fulltime 8+ years exp JOB Description : · Expert level skills writing and optimizing complex SQL · Experience with complex data modelling, ETL design, and using large databases in a business environment · Experience with building data pipelines and applications to stream and process datasets at low latencies · Fluent with Big Data technologies like Spark, Kafka and Hive · Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required · Designing and building of data pipelines using API ingestion and Streaming ingestion methods · Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential · Experience in developing NO SQL solutions using Azure Cosmos DB is essential · Thorough understanding of Azure and AWS Cloud Infrastructure offerings · Working knowledge of Python is desirable · Designing and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services · Managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB · Monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance · Implementing data security measures, including encryption, access controls, and auditing, to protect sensitive information · Automating data pipelines and workflows to streamline data ingestion, processing, and distribution tasks · Utilizing Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making. · Documenting data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards · Providing guidance and support for data governance, including metadata management, data lineage, and data cataloging Best Regards, Dipendra Gupta Technical Recruiter

Thank you for your consideration. Please apply for further information Term: Full Time $: 130-200k _ Equity Role: AI/Back End Engineer-Founding Level Vertical: Start Up Location: New York City Job Details Job Overview Responsibilities: Owning Core AI and Backend Systems: Design and manage ML systems for ingesting and analyzing large evidence volumes. Data Retrieval Architecture: Create reliable retrieval/RAG pipelines for quick investigator access to structured and unstructured data. Model Prototyping: Experiment with LLMs and other novel tools, developing robust production systems for law enforcement. User Collaboration: Implement ML features using feedback from detectives and prosecutors, enhancing... Responsibilities This is a founding AI / backend engineering role. You’ll design and ship the ML systems that power the digital analyst” for law enforcement—working closely with the founders, Forward-Deployed Engineers, and investigators in the field. What you will do: • Own core AI and backend systems that ingest, process, and search across large volumes of evidence (calls, reports, documents, transcripts, and more)., • Design and implement retrieval / RAG pipelines for unstructured and structured data, making it fast and reliable for investigators to find what they need., • Prototype with new models and tools (LLMs, embeddings, vector databases, observability stack), then harden the best ideas into production systems agencies can trust., • Collaborate closely with Forward-Deployed Engineers and users to turn real-world feedback from detectives and prosecutors into concrete ML features and ranking improvements., • 3+ years of professional software engineering experience with strong backend fundamentals (distributed systems, APIs, data modeling) in a modern stack (e.g., Python + TypeScript/React or similar)., • Hands-on experience building and shipping ML/AI systems used by real users, ideally involving LLMs or other deep-learning models (not just research or PoCs)., • Experience with retrieval / RAG or similar architectures over unstructured text or multi-modal data (documents, transcripts, logs), including designing data pipelines and evaluation approaches., • Comfortable working end-to-end: from understanding investigator workflows and problem framing, to designing experiments, to deploying and monitoring models in production., • Field-Driven Engineer – Strong full-stack engineer (Python + modern frontend) who enjoys leaving the office, sitting with users, and seeing how software actually gets used in the wild., • Customer-Obsessed Problem Solver – Comfortable building trust with detectives and agency leadership, asking good questions, and turning messy requirements into clear product and technical decisions., • High-Ownership Operator – Thrives in tiny, fast-moving teams, takes full responsibility for deployments and outcomes, and is happy to do whatever the situation requires (from debugging to running training sessions)., • Mission-Motivated – Energized by improving public safety and the criminal-justice system, and comfortable working with sensitive, sometimes difficult case material. What you can expect Day to Day You’ll spend your days designing, building, and operating the AI and backend systems that powers “digital analyst” for law enforcement. In practice, that looks like: • Owning core data and ML pipelines that ingest, process, and search across large volumes of evidence (calls, reports, transcripts, documents, etc.)., • Designing and implementing retrieval / RAG architectures over unstructured and structured data so investigators can reliably find what matters., • Prototyping with new models and tools (LLMs, embeddings, vector databases, observability) and turning the best ideas into robust, production-ready systems., • Partnering closely with Forward-Deployed Engineers and founders to turn field feedback from detectives and prosecutors into concrete ML features and ranking improvements., • Contributing across the stack when needed — from APIs and job orchestration to evaluation dashboards and monitoring — to keep the entire AI surface area healthy. Team You’ll join a tiny, senior founding team who are obsessed with solving meaningful problems in public safety. • You’ll report directly to the Co-founder & CTO and work closely with another cofounder with architecture, roadmap, and product direction., • You’ll collaborate tightly with Forward-Deployed Engineers who spend time in the field with investigators and bring back high-signal problems and feedback., • The team is lean, highly technical, and mission-driven — everyone ships code, talks to users, and has a strong voice in what gets built next. Growth This is a founding-level AI role with a lot of surface area: • Own major pieces of the AI and backend architecture from day one and shape how the digital analyst evolves over time., • Define best practices for evaluating, monitoring, and hardening LLM / retrieval systems in high-stakes law-enforcement settings., • Influence product strategy by connecting what’s technically possible with what investigators actually need in the field., • Help hire and mentor future ML/AI engineers as the company grows, building out a small but world-class applied AI team., • Build a rare track record of shipping real-world, high-impact AI systems at a YC-backed, public-safety-focused startup.

Thank you for your consideration. Please apply for further information Term: Full Time $: 85-150k _ Equity Role: Forward Deployment Engineer/Full Stack Developer Vertical: Start Up Location: New York City Job Details Job Overview Key Responsibilities: Embed with law enforcement teams, understand their workflows, and deploy and configure software systems to enhance investigation efficiency. Translate field feedback into product features and ship full-stack solutions using Python, React, TypeScript, and AI/ML APIs. Technical Qualifications: 5+ years of ML (PyTorch, TensorFlow) and 2+ years with LLMs. Proven track record in deploying production AI systems. Responsibilities This is a founding Forward-Deployed Engineer role. You sit at the intersection of product, engineering and field work. You will embed directly with detectives, analysts and prosecutors, learn their workflows in detail, and use that context to deploy the platform and shape the roadmap. This is a full-time role for an engineer who wants to own real problems end to end, work closely with users, and see their work show up in live investigations. What you will do: • Spend significant time on-site with law-enforcement customers to understand how they investigate cases and where evidence review slows them down., • Deploy and configure the product for new agencies, load and validate data, and make sure investigators can rely on the system in day-to-day work., • Translate field feedback into concrete product ideas and partner closely with the founders to turn those into features., • Build and ship full-stack features using Python, React, TypeScript and AI/ML APIs, from new workflows in the UI to backend improvements that make evidence search faster and more reliable., • Help design and refine processes for pilots, rollouts and training so that new departments can adopt the product smoothly. Qualifications • Machine Learning Expertise, • 5+ years of experience in ML (PyTorch, TensorFlow)., • 2+ years of hands-on experience working with LLMs (Hugging Face, OpenAI, Anthropic)., • AI System Development, • Proven experience building and deploying production AI systems, including RAG and vector search., • Knowledge of prompt engineering, AI safety, and content filtering best practices., • Comfort architecting scalable infrastructure that integrates into complex environments., • Technical Proficiency, • Familiarity with Rails is a plus, but not required — strong candidates can ramp up quickly., • Experience working with REST APIs, PostgreSQL, ActiveRecord, and RSpec., • Understanding of frameworks like LangChain or LlamaIndex, or the ability to learn them rapidly., • Communication & Collaboration, • Proven ability to engage directly with users, customers, and cross-functional teams to gather feedback and shape technical solutions., • Comfortable explaining complex concepts clearly to both technical and non-technical stakeholders., • Experience collaborating with product and design teams to align on goals and iterate quickly., • Strong written and verbal communication skills., • Builder Mindset, • Thrives in ambiguity, learns quickly, and iterates fast in lean environments. Ideal Candidate Profile • Field-Driven Engineer – Strong full-stack engineer (Python + modern frontend) who enjoys leaving the office, sitting with users, and seeing how software actually gets used in the wild., • Customer-Obsessed Problem Solver – Comfortable building trust with detectives and agency leadership, asking good questions, and turning messy requirements into clear product and technical decisions., • High-Ownership Operator – Thrives in tiny, fast-moving teams, takes full responsibility for deployments and outcomes, and is happy to do whatever the situation requires (from debugging to running training sessions)., • Mission-Motivated – Energized by improving public safety and the criminal-justice system, and comfortable working with sensitive, sometimes difficult case material. The group helps law enforcement, prosecutors, attorneys, and investigators quickly find the truth in overwhelming volumes of digital evidence. Their “digital analyst” platform securely transcribes, translates, searches, organizes, and analyzes case files—such as jail communications, search-warrant returns, and scanned documents—across many languages. By turning evidence overload into clear, searchable insight, the group lets agencies focus on solving cases and delivering accurate, fair justice instead of manually combing through data. . What you can expect Day to Day You’ll spend most of your time in the field with users and turning their needs into product. In practice, that looks like: • Embedding on-site with detectives, analysts, and prosecutors to watch how they investigate cases, understand their workflows, and uncover pain points., • Deploying and configuring the platform for new departments, loading data, troubleshooting issues, and making sure investigators can rely on the system in day-to-day work., • Translating what you see in the field into clear product ideas and engineering tasks, then building and shipping full-stack features using Python, React, TypeScript, and AI/ML APIs., • Owning pilots end-to-end: planning deployment, running training sessions, gathering feedback, and iterating quickly with the founding team., • The team is lean, highly technical, and mission-driven — everyone ships code, talks to users, and contributes to product direction. This is a founding-level role with a lot of surface area: • Own critical customer deployments and relationships from day one, becoming the go-to technical partner for some of the firm’s key law-enforcement agencies., • Directly influence product direction by bringing field context to every roadmap discussion and helping decide what gets built next., • Help define and later scale the Forward-Deployed Engineering function — including processes, tooling, and eventually mentoring or leading additional FDEs as the team grows., • Build a rare track record of high-impact, user-embedded engineering work at a YC-backed, seed-stage startup tackling complex, real-world problems.

Job DescriptionFinal compensation will be based on a combination of:· Relevant work experience· Education· Project size · Project location· Required working hours· Candidate subject matter expertise and/or specialty · Ability to be approved by agencies/owners as required· Come bridge the gap between you and your career goals! Recently ranked as a best U.S. construction workplace by Fortune Magazine, MLJ Contracting is driven by passion and built on trust. When you work at MLJ, you work for a company that values your well-being, your talent, and your career aspirations. If you are looking for a fulfilling career, come join our family and turn big ideas into even bigger realities. As a premier general contractor in the heavy construction market, MLJ Contracting successfully performs major public works projects for client agencies across the New York city area. Proud of our quality workmanship and engaging projects, we always maintain the highest standards of safety and professionalism. Want to build a career that stands the test of time? Join MLJ and lay the foundation for a better future. The Project Engineer is responsible for planning all project work, being part of a team to bring the project from design to completion, controlling each of the steps along the way, and solving any problems that occur. The project engineer works under the supervision of the project managers throughout the entire project. Project work is detail oriented, with a focus on cost efficiency; each phase of an operation is evaluated, planned, possibly re-engineered and built with time and budget in mind. The project engineer will be responsible for managing schedule, quality, change orders and engineering relating to specific packages, scopes or work areas. II. EDUCATION/CERTIFICATIONS • Bachelor's degree in Civil or Mechanical Engineering (or equivalent experience)., • Work closely with Project Managers on Project Deliverables., • Management of key sub-contractors., • Process/manage material deliveries – ensure that materials received are properly inspected for quantity and quality and are in compliance with contract documents., • Manage and negotiate subcontractor and material contracts., • Manage closeout of areas and handover to the client, • Assist in updating the project schedule and ensure milestones are met., • Coordinate and schedule shop drawings and submittals., • Maintain a complete and current record of submittals, approvals and resubmittals, including a file of letters of transmittal and dates of each transaction., • High level of involvement in the operations of our cost control system and analysis of construction costs., • Participate in monthly forecasting revenue and cost accruals., • Accumulate all necessary data and prepare monthly pay estimates., • Process and estimate change orders and requests for information as directed by the Project Manager., • Understand NYC DOB health & safety requirements., • Management and mentoring of junior members of the team., • 5+ years of experience, • Experience with MTA and/or Metro-North preferred., • Proficiency in basic engineering computations and analysis., • Ability to read, understand and interpret engineering drawings., • Working knowledge of Excel, Word and PowerPoint., • Working knowledge of Auto Cad or drafting software is preferred., • Excellent interpersonal, writing, and computer skills. #ZR Salary Range:$95,000—$160,000 USD

Job Description#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As an Android Software Engineer at Nextdoor, you'll join a fast moving team of developers, product managers, and designers who are passionate about using technology to cultivate a kinder world where everyone has a neighbor they can rely on. The Nextdoor Android team works on features and infrastructure to deliver our values to our members. We care about making an incredible Android app that respects platform conventions and is delightful to use. We're always trying to move faster and more safely, by adopting the latest practices, such as Kotlin, Jetpack Compose, MVVM and GraphQL. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees. The Impact You'll Make We believe in empowering our teams to own all aspects of bringing Nextdoor to life. As such, you'll get the opportunity to make key contributions across our Android stack - this includes developing and improving our networking, analytics, experiments, modular app structure, and testing infrastructure - in addition to making direct contributions to Nextdoors product. We believe engineers should have a stake over all aspects of the product - from coming up with the next big ideas to build, through helping set expectations and plan roadmaps, all the way through understanding the impact of new features through rigorous data analysis. As your career at Nextdoor develops, you'll also get the chance to mentor other team members, and grow your role towards what you're most passionate about. What You'll Bring To The Team • 4 to 8 years of experience as an Engineer and/or the ability to perform at an advanced level in the domain, • Expertise in Kotlin and Jetpack Compose and leveraging its features to increase the safety and clarity of our codebase, • You crave enchanting Nextdoor's users with delightful, polished and bug-free features, but you know how to ship consistently and quickly, • Desire to mentor junior engineers and enthusiastic about up-leveling our engineering culture, • Strong self-motivation and flexibility with excitement to improve any part of the app, from the UI components to the analytics framework, • You make a point to test your obviously bug-free code with frameworks like JUnit, Mockito, and Espresso - just to be safe, • Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises, • Build in-person relationships with team members and contribute to Nextdoor's company culture, • Eagerness to explore and apply AI and emerging technologies to reimagine how work gets doneBonus Points, • Passionate about Nextdoor's mission and being a good neighbor, • Familiar with modern networking stack, such as OkHttp, Retrofit, and GraphQL, • Passion for UI architecture best practices such as MVVM and libraries including Coroutines, MvRx, and Jetpack Compose The starting salary for this role is expected to range from $180,000 to $230,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography. We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date. Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here. #LI-Hybrid

Job DescriptionWho we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are We are building a hyperscaler company and need someone to own reliability across the entire Metropolis platform. As a Staff or Senior Software Engineer focused on Reliability, you'll establish and drive the comprehensive reliability practices that ensure system availability, resilience, and observability for our mission-critical mobility infrastructure serving millions of transactions. This is your opportunity to build reliability from first principles – architecting failover systems, implementing chaos engineering practices, and improving the observability foundation that will enable Metropolis to scale to new markets while maintaining 99.9%+ uptime. You'll be the technical owner of our reliability posture, working on everything from multi-region failover architectures to incident response workflows to SLO-based alerting strategies. Our platform handles real-time payment processing, customer authentication, and parking facility operations – systems that cannot go down. You'll tackle challenges like external service failover, dependency mirroring to prevent upstream outages, database replication and automatic promotion, and building the monitoring and alerting infrastructure that ensures we detect and respond to issues in minutes, not hours. If you're energized by the challenge of ensuring system reliability at scale, building robust failover mechanisms, implementing comprehensive observability, and establishing the practices that prevent incidents before they occur, this role is for you. You'll work alongside highly technical teams across the organization, influencing architecture decisions and establishing reliability standards that affect every service we build. What you'll do • Own the overall reliability posture for the Metropolis platform, establishing practices, metrics, and systems that ensure 99.9%+ uptime across all services, • Design and implement automatic failover mechanisms for critical external dependencies (Twilio for SMS/voice, Stripe for payments) with circuit breakers, retry policies, and degraded mode operations, • Architect and build active-passive or active-active regional deployment strategies with database replication, automated failover, and DNS-based traffic routing including disaster recovery planning and testing, • Establish comprehensive monitoring using Datadog for APM, logs, and metrics correlation; implement synthetic monitoring, SLO-based alerting, on-call rotation, and escalation policies; build service health dashboards that show customer impact, • Own the incident management process including workflows, tooling, post-mortem culture, runbook automation, and MTTR reduction initiatives – driving down mean time to recovery from detection to resolution, • Drive adoption of resilience patterns across all services including health checks, graceful degradation, feature flags, rate limiting, backpressure mechanisms, and chaos engineering practices., • Build and maintain local mirrors for critical dependencies (Maven/NPM/Docker registries) with artifact caching, dependency pinning, and vulnerability scanning to prevent build failures from upstream outages.What we're looking for, • 8+ years of backend software engineering experience with deep focus on distributed systems and platform infrastructure, • Expert-level Java proficiency with deep understanding of JVM performance, concurrency, and ecosystem tooling. Scala experience is a big plus, • Production experience with microservices architecture, container orchestration (Kubernetes), and cloud platforms (AWS), • Strong systems thinking with proven ability to design and implement large-scale, high-availability distributed systems that handle significant load, • Observability expertise including hands-on production experience with metrics, logging, tracing, and alerting systems in high-load environments, • Database and data systems knowledge including relational databases, event streaming (Kafka, SQS), caching strategies, and data consistency patterns, • Experience with AI-powered development tools such as Claude Code, GitHub Copilot, or similar agentic coding tools for enhanced productivity – context engineering in particular, • Excellent technical communication with ability to design and document complex systems, lead technical discussions, and collaborate across multiple teams local to New York City, Seattle, or Los Angeles areaWhile not required, these are a plus:, • SRE or Reliability Engineering experience at companies known for operational excellence or high-growth startups where you built reliability practices from the ground up, • Incident response leadership including experience building incident management processes, conducting blameless post-mortems, and driving MTTR reduction initiatives in production environments, • Chaos engineering experience with tools like Chaos Monkey, Gremlin, or similar, including designing and executing game days and failure injection testing, • Performance optimization experience with profiling, benchmarking, capacity planning, and system tuning at hyperscale including experience optimizing for high-throughput, low-latency systems, • Open source contributions or technical blog writing that demonstrates depth of expertise in reliability engineering, distributed systems, or production operationsOur Stack, • Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited), • Datastores: MySQL, PostgreSQL, Snowflake, • Cloud: AWS, • Version control: Git & GitHub, • AI Tooling: Copilot on GitHub Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description Growth Marketing Sr. Manager, Paid Search About the Role: Architect of Our Core Growth Engine We are looking for a Growth Marketing leader to own our most critical asset: the paid search engine. As our largest and most profitable acquisition channel, this is the heart of our business. We are not looking for a campaign manager. We are looking for an owner-architect who sees Paid Search not as a series of campaigns, but as a complex, dynamic system of interconnected variables. This role is for someone who is both a keyboard-on tactician and a big-picture strategist. You will have a strong pulse on the account, with a strong ability to distinguish signal from noise. You will be the definitive source of truth for performance, diagnosing shifts and communicating the "why" behind the numbers with intellectual honesty. You will partner with the Director of Acquisition to transform our largest channel from a high-performing asset into a compounding, defensible moat that drives step-change growth in revenue, LTV, and profitability. What You'll Do (The Mission): • Architect and own the end-to-end Paid Search engine. This goes beyond campaign builds. You will own the strategy, the execution, the budget, the analytical framework, and, most importantly, the results., • Serve as the system's primary diagnostician. Your job is not to report the "what" (performance went down), but to deliver the intellectually honest "why" (performance went down because CPCs on non-brand terms inflated by 15% due to a new competitor, and our creative is no longer differentiated)., • Engineer and execute a rigorous, high-velocity experimentation program. You will own the testing roadmap from keywords and audiences to offers and funnels. Every test will be grounded in a clear, falsifiable hypothesis, and every result will be codified into our compounding knowledge base., • Maintain the integrity of our data. You will ensure rock-solid tracking, signal quality, and attribution hygiene, proactively troubleshooting the discrepancies and noise that others miss., • You think in terms of systems, not just campaigns. You have a strong strategic POV on what "best-in-class" paid search looks like and can architect it from first principles., • You have a proven, track record of cracking new profitable funnels, improving CAC and scaling spend in competitive, fast-paced DTC environments. You can point to specific examples where you moved the needle., • You are obsessed with the "physics" of the auction. You have a deep, intuitive understanding of end-to-end funnel metrics, from impression share to mLTV, and you know how to diagnose performance shifts with precision., • You believe that every test is a tool to validate a hypothesis. You are skilled in designing structured experiments and, more importantly, in synthesizing the learnings into a compounding playbook., • You are a high-signal communicator. You can interpret complex data sets and translate them into clear, actionable recommendations for leadership. Why You'll Love Working Here: • Extreme Ownership in a hyper-growth environment. This is your engine to run., • A mission-driven company making healthy living more accessible., • Close collaboration with an experienced and data-driven leadership team., • A commitment to building a true high-performance culture through our Engine OS., • Fast career growth as we scale the business., • Competitive compensation and benefits.

Job Description Senior Software Engineer NYC AI Data Science Labs – Investment Management J Harlan Group is currently conducting a search for a Senior Software Engineer at a prominent Investment Manager in their NYC AI Data Science Labs. This opportunity is available in both their New York City offices and at their brand-new AI Data Science squad in their new Baltimore location. Both locations offer the opportunity to collaborate with top talent, drive innovation, and make a real impact on asset management This is a “hands-on” – “end-to-end” engineering opportunity with direct responsibility to Design, Develop, and Deploy autonomous AI systems as part of the firm's AI Data Science Labs' AI Engineering team. Collaborate in cross-functional squads, contribute to the Build-Operate-Transfer process, and help scale responsible AI solutions across the enterprise. The AI Data Science Labs is focused on building the firm's next-generation data and AI platforms, aiming to seamlessly deliver on-demand ML-powered insights across their firm. Responsibilities • Design, build, test, and deploy AI agents and intelligent systems for modern cloud-based, n-tier architectures., • Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights., • Championing engineering excellence by applying best practices in AI development, continuous integration, and code quality., • Contribute to projects on agent orchestration, prompt engineering, and real-time, data-driven automation., • Manage technical debt and drive ongoing improvements in AI platforms and infrastructure., • Proactively seek opportunities to apply AI agents for increased business value and operational efficiency., • Collaborate directly with business stakeholders to understand needs and priorities., • Make technology decisions that support current and future business objectives and fiscal responsibility., • Translate business requirements into effective technology solutions. The ideal candidate would have a background: • BS or MS in Computer Science or a related technical field (or equivalent experience), • 5+ years of professional development experience in an object-oriented language (Java, Python, or JavaScript preferred)., • Practical experience building AI-driven applications using LLMs, including:, • Prompt engineering, • Retrieval-augmented generation (RAG), • Vector search, • Agent-based workflows, • Model/tool orchestration, • Ability to integrate LLMs into cloud-native microservices and apply safety/guardrail patterns, implement human-in-the-loop review flows, and evaluate AI output for groundedness, reliability, and compliance., • Hands-on experience with cloud-native architectures (AWS, Azure), containerized microservices, and agent frameworks., • Strong analytical and problem-solving abilities., • Commitment to quality via automated testing, code reviews, and continuous delivery., • Results-driven with a passion for learning and staying current with emerging technologies. Preferred: • Experience with React and/or Angular., • Solid understanding of financial markets and financial instruments. An individual who loves solving deep and complex technical and business problems and wants to have an outsized impact with the services/ products they deliver. An individual with a passion for technology engineering high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world-class services. If you or anyone in your network would be interested in this opportunity, please send resume to Jerry Goldberg at or directly contact us at (212) 792-0099 About the Client: The firm is a publicly owned global asset management firm with $1.8 trillion dollars of AUM. The firm offers funds, advisory services, account management, and retirement plans and services for individuals, institutions, and financial intermediaries. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior management in a highly collaborative and charged environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs, • Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients SALARY RANGE: The salary range is $148,000 - $253,000 plus employees may also be eligible for annual discretionary incentive compensation. Actual compensation within that range will be dependent upon the individual's skills, experience, qualifications, location, and applicable laws. Work Flexibility: This role is eligible for remote work up to three days a week. Benefits: The firm invests in their people through a wide range of programs and benefits, including: • Competitive pay and bonuses as well as a generous retirement plan and employee stock purchase plan with matching contributions, • Flexible and remote work opportunities, • Health care benefits (medical, dental, vision), • Tuition assistance, • Wellness programs (fitness reimbursement, Employee Assistance Program), • Paid time off for vacation, illness, medical appointments, and volunteering days, • Family care resources, including fertility and adoption benefit

Job DescriptionSalary: 120,000-150,000 We are looking for a Solutions Engineer, specialising in Search, or GenAI, or DevOps with strongPythonskills,and with relevant work experience in a software product company. You'll be helping to deploy, customize and support the Squirro platform onUnix systems. Squirros Insight Engine platform uses state-of-the-art machine learning algorithms and natural-language processing tools to analyseunstructured data.We offer a flexible work environment. This position, within the global delivery team, will implement Squirros Search and Insights applications which also integrate Large Language Models (e.g. chatGPT) using real-world client data. About the role We are looking for someone who wants to use their affinity for technology in a business context where AI solutions bring massive business value. In this role, you might facecorporate bankers who are sourcing the next big M&A opportunity, or business stakeholderswho translate business requirements into technological products. We need someone who brings the enthusiasm and interest to grow into this role. Responsibilities: • Work with partners and customers on an operational level throughout the stages of solution qualification, implementation, and support., • Implement innovative digital transformation projects, primarily in the Finance & Public Sectors., • Collaborate with Business and Engineering team members on customer use cases to deliver the solution design with the aim of meeting or exceeding the business expectations., • Provide technical expertise and run tests on the requirements and suitability of Squirros modules and features with regards to the solution scopes from customers and partners., • Engage with technical users of all levels from Squirros ecosystem of partners and customers to provide technical guidance on the development, implementation and support of solution using Squirros modules., • Extending Squirros platform with custom backend components in Python and Bash within the platforms operational sphere., • Collaborate with Engineering team members on product features required by the market and contribute towards product development., • Deploying solutions on hybrid infrastructure within Linux environment, using infrastructure code tools such as Ansible., • Advocate the adoption of our Frontend BI dashboards and execute potential custom extensions to meet users strategic objectives for Insights from Squirros platform., • Drive the generation and maintenance of documentations throughout a Waterfall or Agile project lifecycle as part of Squirros knowledge sharing policies and culture., • Drive or support project management tasks in projects that are delivered by Squirro or our partners., • Ensure high-quality delivery of Squirros solutions and proactively manage risk and dependencies. Preferred experience: • Minimum 5 years intechnical consulting,software engineering, and/or DevOps engineering roles., • Minimum 3 years in aclient-facingrole as a point-of-contact for technical and non-technical users., • Experience in implementing a full project lifecycle based on Waterfall and Agile methodologies. Projectmanagement would be an advantage., • Experienced in working withElasticsearchin production deployments. This involves things like relevancy-tuning Elasticsearch, efficient data modelling, optimizing search and indexing performance., • Experience in writing server-side web application logic and implementingREST APIs., • Experience testing code, debugging programs and integrating applications with third- party web services., • Experience inRedisand/orPostgres/MySQL/MariaDBdatabase management., • Experience performing system administration tasks onLinuxand shell scripting., • Experience working with application development usingmicroservices architecture., • End-to-end project delivery, including the setup and deployment of IT solutions for clients, data loading, data enrichment and analysis, data visualisation, and integration. Ideally, you also have: • Unstructured data on a previous project or role., • Natural Language ProcessingandMachine Learningknowledge., • Ability to communicate and coach complex technical concepts to various levels of external technical users such as from customers and partners., • Experience in building and maintaining project documentations to support implementations executed internally or by partners., • Experience in managing and communicating product documentations to an external ecosystem would be an advantage. Who you are: • You are a smart, open-minded and curious person., • You can deal with challenges and are able to find the best technical solution., • You can identify the root cause of a problem and name it., • Strong programming experience in Python., • Experience with using Linux, • Proven track record in software systems design, implementation and coaching., • Good communication skills and an easily adaptable team player. Our tools: • Core software: Python, JavaScript, GNU/Linux, • Data storage: Elasticsearch, Postgres/MySQL/MariaDB, Redis, • Web components: Flask, FastAPI, NGINX, • Frontend components: React, • Other: Atlassian (Jira, Confluence), Git What we offer: • A start-up like environment and culture, fast-paced and agile with quick decision-making., • An environment where team members at all levels can make a difference., • Opportunity to work on search and AI projects using cutting edge technologies., • Ongoing feedback as part of our working culture to grow and develop., • We believe in life-long learning and supporting the development of our staff. About Squirro Businesses capitalize on new opportunities, improve client relations, and optimize decision-making capabilities using Squirros vertical-specific Augmented Intelligence solutions, which combine human intelligence with powerful AI. An Insight Engine at its core, we deliver contextualized insights from your most relevant data sources and displays them directly, via workbench integrations, or through self-service applications. Squirro works with global organizations, primarily in the Financial Services, Insurance, Telecommunications, and Manufacturing industries. Customers include Bank of England, Standard Chartered Bank, the European Central Bank, Henkel, and Candriam (A New York Life company). Founded in 2012, Squirro is currently present in Zrich, London, Munich, New York, and Singapore. Further information about AI-driven business insights can be found at

Job DescriptionABOUT US: Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always-available, and ready to take action. Power better support, sales and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene helped build Angi (Angie’s List, HomeAdvisor and Handy) to over $1.5B in revenue. Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew and Emergence Capital. Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings! ABOUT THE ROLE: As an AI Forward Deployed Engineer at Regal you’re the product owner of each customer’s onboarding journey. Imagine taking the reins of a micro “product launch” for every new customer. You’ll shape their implementation with our platform, ensuring they go from contract signature to a fully functional AI Agent deployed in their contact center in under two weeks. If you’re someone who loves blending technical savvy with product thinking—someone who can translate business objectives into tangible product experiences and who treats each deployment like a well-scoped MVP—this role was built for you. Whether you come from a Solutions Engineering background with strong product instincts or you’re an ex-Product Manager eager to get your hands dirty with code and APIs and deeper customer management, this is your opportunity to define the next generation of customer experiences.RESPONSIBILITIES: • Drive a 14-Day Launch: Treat each customer’s onboarding like a mini product development cycle. Within two weeks, you’ll deliver a polished, AI Agent that’s integrated to the customer’s current systems and workflows, and move the customer’s needle on key business metrics., • Own the Product Vision (Per Deployment): Collaborate with customers to understand their goals, success criteria, and operational context. Then, translate these insights into a clear, measurable deployment plan that aligns Regal’s capabilities with their strategic objectives., • Architect Technical Integrations: Work hands-on with APIs, webhooks, and databases to seamlessly integrate Regal into the customer’s existing systems. Your technical expertise ensures data flows smoothly and securely, setting the foundation for a scalable AI agent experience., • Shape Conversational Experiences: Work internally with Regal AI Product Specialists to guide the creation and refinement of voice prompts and AI agent settings to achieve the conversational quality that is Regal’s signature and that meets your customer’s compliance requirements and business objectives. Help QA test and validate that the AI Agent achieves the standards required to be successful., • Measure, Iterate, and Adapt: Set up Reports that measure the performance of AI Agents; work with customers to iterate their post-call AI analysis prompts or disposition prompts to get the most accurate data out of AI Agents. Develop a roadmap of A/B tests to continuously improve AI Agent performance., • Stakeholder Management: Provide weekly status updates, manage timelines, and communicate proactively with both internal and external stakeholders. Mitigate risks, reprioritize as needed, and keep everyone aligned around the deployment roadmap., • Unlock Future Value: As customers gain confidence, surface new use cases and features that can drive ongoing value. Use your product and commercial mindset to spot expansion opportunities and ensure each deployment isn’t just a one-off success, but the start of a long-term partnership., • Travel: You should expect to travel 1 week per month. When launching a new customer, you’ll travel to their office (if they are in person), and periodically thereafter to meet with execs.ABOUT YOU:, • Technical Chops: You’ve got 3+ years in a technical customer-facing role (e.g., Solutions Engineer, Implementation Consultant) or have PM experience in a tech environment. You’re comfortable working with APIs, writing a bit of middleware code when needed, framing product features for executives, and everything in between., • Strategic Problem-Solving: You see beyond the immediate ask. You excel at synthesizing business needs, user experience considerations, and platform constraints into a cohesive product vision—then executing on it., • Outstanding Communication: Whether you’re writing a project brief, presenting call flow diagrams, or explaining data integration steps to a CTO, you tailor your message and ensure everyone understands the big picture., • Relentless Ownership: “Not my problem” isn’t in your vocabulary. You’re accountable for the success of each deployment, making smart trade-offs, iterating quickly, and doing whatever it takes to ship on time., • Curiosity for AI & Voice: You’re excited about the potential of Voice AI. Maybe you’ve dabbled in conversational design, prompt engineering, or user research for voice interfaces. You’re eager to learn more and push the envelope on what’s possible., • Entrepreneurial DNA: You want to be a founder one day, which means you’re not just technical, you’re also commercially-minded and want to win. You thrive in fast-paced, ambiguous environments where you can shape processes, influence product direction, and drive revenue. Your adaptability and growth mindset help you navigate change and complexity with ease., • Ability to travel: Must be able to travel on a monthly basis.BENEFITS/PERKS:, • We care about your health!, • Medical, Dental, and Vision plans - 80% covered by the company, • Flexible PTO & 11 paid holidays/year, • Subsidized ClassPass membership, • We care about future you!, • 401k Plan, • Paid parental leave, • Pre-tax commuter benefits, • We care about connection!, • In-office breakfast and snacks daily, • Happy hours, team outings, & annual off-sites, • Complete laptop workstation

Founding Backend Engineer $220k–$250k + Equity AI Start Up New York City (On Site) The Company We’re working with an early-stage venture studio operating across the US and Europe. They specialize in rapidly building and launching new products across sectors like AI, robotics, wearables, and next-generation consumer applications. The environment is hands-on, fast-moving, and rooted in experimentation and iteration. The Role We're seeking a backend engineer excited to work onsite in NYC, building alongside a small, highly technical team. You’ll execute quickly, leverage AI tools, and prototype constantly to bring ideas to life in days, not weeks. Ideal for someone who loves shipping MVPs at high velocity. Responsibilities • Build and maintain backend systems optimized for rapid product development, • Leverage AI tools and LLM integrations to speed up engineering workflows, • Prototype fast, turn concepts into working products within days, • Iterate constantly, including rethinking or rewriting ideas as needed, • Collaborate closely with designers, founders, and engineers in NYC and beyond, • Automate workflows and integrate backend services with AI/LLM components Requirements • Strong backend engineering fundamentals, • Proven ability to rapidly build and ship prototypes or MVPs, • Able to work independently and thrive in fast-paced, ambiguous environments, • Hands-on experience with AI tools or integrating LLMs, • Technical skills in Python (core), Swift (as needed), modern backend frameworks, AI/LLM APIs, and developer automation tools, • Demonstrated project-based achievements and strong growth trajectory, • Not ideal for candidates coming strictly from big tech or with long employment gaps Benefits As a Backend Engineer, you will receive $220k–$250k base salary plus equity. Keywords Backend Engineering, AI & LLM Integration, Python, Rapid Prototyping, MVP Development, High-Velocity Engineering, Startup Builder, NYC Engineering, Automation How to Apply Please submit your resume to be considered. Keywords Backend Engineering, Python, LLM Integration, AI Engineering, Rapid Prototyping, MVP Development, Automation, Startup Builder, High-Velocity Engineering, NYC Onsite, Data Services, Low-Latency Systems

Compensation: $120,000-$200,000 + Equity About Finster AI We’re a Series A stage firm, redefining the future of finance with our AI-native research and task automation platform, backed by leading, global venture investors. Founded by a team of experts from Google DeepMind, Meta AI, and J.P. Morgan, Finster AI provides cutting-edge solutions to help finance professionals unlock unique insights with greater efficiency and accuracy. We’re building a well-rounded team with multi-disciplinary expertise across product, AI, finance, UI/UX, and engineering to help in our goal of building AI agents that can read, analyse and integrate disparate sources of financial and market data. We’re building for the distinct demands of institutional investors, with accuracy, reliability and privacy at the core of our product. The Role As a Senior BE Engineer at Finster you will; • Work in the development and maintenance of microservices, primarily in Go., • Refactoring and removing functionalities from existing productive monolith., • Build APIs and integrate using gRPC and Kafka, with a focus on scalable communication between services., • Work on Kafka message-driven systems to ensure smooth data streams between microservices., • Contribute to the development of new services that could use gRPC or Kafka for sync and async communication., • Collaborate with the data team to integrate and manage MongoDB, Postgres and Vector DBs for data storage and retrieval., • Deploy, monitor, and maintain services on Google Cloud Platform (GCP)., • Collaborate closely with AI, Frontend and Product teams to integrate new features into the microservices ecosystem., • Help with the implementation of industry standards and good practices Who You Are • Have 5+ years of experience working as a Backend Engineer in production environments., • Have 3+ years of experience working with OO Compiled languages (ideally Golang) in production environments., • A solid level of understanding of async, multithreading and concurrency/parallelism, • Have a solid understanding of gRPC and building code for microservices-based architectures., • Have familiarity with building and maintaining REST APIs., • Proficient in using relational databases (Postgres)., • Have experience with Kafka or similar message brokers., • Have had exposure to CI/CD environments, utilising containers with Docker and orchestrating microservices with tools like Kubernetes., • Have a good understanding of software engineering best practices (standardised practices, version control, testing, code review, etc.) You Will Thrive Here if You • Worked on Kafka message-driven systems to ensure smooth data streams between microservices., • Experience with Python (to understand and help with the migration from the monolith)., • Exposure to non-relational databases (ideally MongoDB), • Familiarity with Redis for caching and queueing mechanisms., • Familiarity with event-driven architectures and event-driven systems., • Have worked in projects making big refactor to improve system performance, API latency, improving data layer and DB queries, etc., • Experience with Google Cloud Platform (GCP), including deployments and cloud-native services., • Familiarity with user authentication and authorization flows, • Experience with monitoring and logging tools like DataDog, Prometheus, Grafana, ELK stack, etc., • Previous experience working in fast-paced startups or dynamic environments. Why Finster • Impact: As an early-stage company, you’ll be part of the team shaping the foundation of one of the most exciting AI platforms in financial services., • Exposure: You’ll work directly with senior technical leadership on critical projects, • Growth: Be part of a company scaling rapidly after Series A, with opportunities to grow the scope and responsibility of your role., • Exceptional team: We are a world class team that combines expertise from AI labs (Google DeepMind, Meta AI) with leading Financial institutions (Morgan Stanley, J.P. Morgan, Rothschild & Co, Aviva Investors, Visible Alpha, Revolut)., • Culture: We deeply value collaboration, intellectual curiosity, disagreement and high performance. Benefits at Finster AI We’re a growing, cross-functional team that values supporting each other's development. As part of the team, you can expect: • 25 days PTO, excluding bank holidays, • Flexible working - Our flexible work model aims to meet the needs of our diverse employee community by making work more flexible, connected, and inclusive. Depending on the role and needs of the team, Finster AI employees have the flexibility to work from home 2/3 days per week., • Generous healthcare and dental package Next steps At Finster AI we are committed to building an inclusive environment that attracts and retains the best talent from around the globe. We welcome applicants from different cultural and educational backgrounds and value curiosity, courage and determination to implement new ideas. If you are a self-starter that wants to have an impact on how Finster grows and develops, we want to hear from you. Eagerness to learn, attitude, and enthusiasm are more important than ticking all the boxes. Even if not all desired requirements are met, but you're very excited about the role, get in touch. Please communicate any reasonable accommodations you may need for your interview. If you believe you’re a great candidate for Finster AI but don’t see a relevant open role, we encourage you to still get in touch. Send your resume and tell us why you want to join us to ___

Polymarket is the world’s largest prediction market. It’s half "put your money where your mouth is," half search engine for the future. We're growing fast – both in terms of volume (>$1B traded so far this year) and adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media and we need your help adding fuel to the fire. Polymarket is looking for a world-class backend engineer to join our platform engineering team as we scale. The ideal candidate is obsessed with performance, security, and scalability—someone who can architect and optimize high-throughput systems with cutting-edge infrastructure. You will play a key role in building and maintaining the foundation that powers our prediction markets, ensuring reliability and efficiency as we continue to grow. We're looking for an experienced individual contributor who enjoys working on deeply technical problems and optimizing mission-critical infrastructure. * Architect & build backend systems. You'll design, implement, and maintain high-performance backend services and APIs that handle large-scale transactions and real-time data. * Optimize performance & scalability. You’ll push the limits of our system’s throughput and efficiency, ensuring seamless operation at scale. * Enhance security & reliability. You’ll implement best practices for secure, fault-tolerant, and highly available distributed systems. * Cross-company collaboration. You’ll collaborate with front-end engineers, designers, and stakeholders across the company to deliver a fully integrated user experience. * Contribute to code reviews. You'll play a critical role in maintaining the high quality of our codebase by providing feedback and suggestions on others' work during code review sessions. * Participate in research & innovation. You’ll stay at the forefront of blockchain-based trading technologies, exploring new solutions to improve our platform. * Interface with Customers. You’ll communicate directly with customers, providing support and gathering feedback. * 8+ years of experience in backend development * Experience architecting and developing solutions to ambiguous problems with significant impact and high usage * Master-level proficiency in systems programming languages like Golang, Rust, or C++ * Strong knowledge of database systems and internals (e.g., PostgreSQL, MongoDB) * Experience with cloud platforms (e.g., AWS, GCP) and infrastructure as code (e.g., Terraform, Ansible) * Excellent problem-solving and communication skills * (Plus) Blockchain-specific backend experience (e.g., working on BFT consensus engines, event indexing systems, libp2p) * (Plus) Experience with Ethereum roll-up technologies (e.g., Arbitrum Nova, Optimism) * (Plus) Open source contributor * (Plus) Active participant on ___ * Competitive salary & equity * Unlimited PTO, Health, Vision, & Dental coverage * 401k match * Hardware setup — new MacBook Pro, big display, & accessories.

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding ___, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. As a Backend Engineer, you will work on building the APIs that power our products and give our learners a best-in-class experience. Our microservices infrastructure is composed of hundreds of endpoints serving hundreds of millions of requests per day. You will partner with your team members on identifying requirements and designing services that are fast, resilient, and cost-effective. You will have ownership over the entire lifecycle of your services and associated infrastructure, and ensure they are always operating well. Below you can find more information about the teams we're hiring for: Data Infrastructure Team: • As a Backend Engineer on the Data Infrastructure team, you will build tooling and infrastructure at scale to support Duolingo’s key data workflows from data visualization to A/B testing and AI. Enterprise Applications Team: • The enterprise application tooling team's mission is to provide tooling and engineering support for areas without traditional engineering support and for tools the entire organization leverages! We are responsible for the 2025 OKR “Pivot to tooling- and automation-first approach for People teamwork”. In this role, you will be utilizing generative ai, automation tools, and building DIY solutions to help improve the lives of employees across the organization! You will... • Collaborate on software projects with product design and backend aspects, • Develop, release, and maintain backend services and/or infrastructure, • Lead individual project priorities, milestones, and ensure we're always shipping You have... • A Bachelor’s degree in Computer Science or related technical field, • Strong competencies in data structures, algorithms, and software design, • Experience programming in Java, Python, or Kotlin, • Solid understanding of one or more database technologies Exceptional candidates will have... • Industry experience building high-traffic APIs using public cloud providers Take a peek at how we care for our employees' holistic well-being with our benefits ___. We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter. Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this position your data will be processed as per the ___. We post a multi-level salary range for all of our roles. This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity. Salary Range: $148,800—$274,600 USD Take a peek at how we care for our employees' holistic well-being with our benefits___. We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact ___. Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this position your data will be processed as per the___.

📍New York, NY | Remote | 💰___ $161,500 - $218,500 + ___ | ___ - Engineering | At Monzo, we’re building the future of digital banking - one that puts people first, not fees. We believe money should work for everyone, helping you grow, save, and spend in ways that actually fit your life. We started in the UK and became one of the most loved digital banks, trusted by millions. Now, we’re bringing that same energy, innovation, and heart to the US, empowering people to take control of their finances with clarity, simplicity, and confidence. Our US team is on a mission to make digital banking that grows your money, your way. Whether it’s cashback rewards that fit your real habits, high-yield savings with no hidden catches, or smart budgeting tools that simplify life, everything we build is designed to lift people up, not trip them up But what truly sets Monzo apart isn’t just our product - it’s our people. We’re a team of builders, problem-solvers, and big thinkers united by a shared belief that finance can (and should) be fair, transparent, and empowering. We care deeply about the work we do and the impact it has on real people’s lives. If you’re ready to make a difference and help build a bank that rewards people for being themselves, come join us. Let’s grow together. About Us Monzo Group is a leading financial technology company, with over 13 million customers in the UK, committed to providing modern banking solutions. In the last few years, we’ve built a banking app that our customers love – with extremely high daily engagement, an industry leading net promoter score, and award-winning customer support. We’ve raised over $1 billion from Capital G, Google’s growth fund, Ribbit Capital, TenCent, YCombinator, Stripe, Coatue, and others - most recently at a $5.9 billion valuation in 2024. We’re just getting started in the US. We’re an agile full stack team operating like an early stage startup but with the financial, operational, and engineering platform muscle of a larger company. We’re focused on building an amazing US product, shipping and iterating quickly, and deepening our product market fit. We’re looking for highly driven, enterprising people to help us achieve our mission to make money work for everyone. About our Engineering Team: We are a team of 20 engineers working in a startup environment and on a mission to make digital banking work for everyone in the US. We have big ambitions for the future, and technology plays a big role in creating a bank our customers want. Engineers at Monzo collaborate across disciplines to solve interesting challenges throughout the company. These range from the products our customers use everyday to underlying infrastructure, security, payments and finance, customer operations, financial crime, and data, to name just a few areas. There is scope for impact across a huge number of opportunities. Your day-to-day This role is all about collaborating with your team to make a difference to your customers. As a backend engineer you’ll work in a squad alongside other disciplines like product managers, marketers, user researchers, designers, mobile engineers, web engineers, data analysts, business analysts, writers and more! Together you’ll build the Monzo US application. You’ll work with squads across collectives (a word we use to describe self-governing business units of ~100 people). We do not ask for formal qualifications or degree requirements, our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. How we work 💻: Locations & Flexible Working : Our main tech hub is in New York, but our engineers live everywhere in the US. We value meeting in person but there’s no pressure to come into the office, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of New York and we ask you to come into the office, Monzo will support you with the costs. ✨ Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays. Teams also schedule time together often for work and play – in or around the office, or online. Set up a work schedule that delivers impact and fits your life. At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance. You’ll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop-offs and pick-ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency. 🕒✨ Work the way that works for you with Monzo! 💼 You should apply if: • you have strong experience working on the backend of a technology product, • you want to be involved in building a product that you (and the people you know) use every day, • you have a product mindset: you care about customer outcomes and you want to make data-informed decisions, • you’re comfortable working in a team that deals with ambiguity, • you’re interested in distributed systems and writing resilient software, • you have some experience with strongly-typed languages (Go, Java, C, Scala etc.)., • you think you’d enjoy the kind of work we’re doing We're on the look out for L40 Engineers at the moment, you can read more in our ___ Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply - even if you don’t have everything that's listed just yet. Drop us your application, we’d love to hear from you! What you’ll be working on: We hire very technically agnostic so whilst we use the below technologies we do not expect prior knowledge, you will be fully supported in our organised onboarding to get up to speed in the below: • ___ to write our application code (there’s an excellent interactive Go tutorial ___), • ___ for most persistent data storage, • ___ for our asynchronous message queue, • ___ and ___ to schedule and run our services, • ___ for RPC, • ___ for most of our production infrastructure and___ for most of our data infrastructure, • React for our public web apps and internal tools, • We also have physical data centres with actual cables to connect to various third parties The Interview Process: Our interview process involves three main stages: • Initial Call, • Take home task or pair coding exercise, • Final interview: including a system design and a behavioural interview Our average process takes around 4 weeks but we will always work around your availability. One of our engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see ___. What’s in it for you: 💰 $161,500 - $218,500 base salary➕ plus stock options ✈️ We can help you relocate to New York ✅ We can sponsor visas. 📍 This role can be based in our New York office, but we're open to distributed working within the US (with ad hoc meetings in New York). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Work the way that works for you with Monzo! ➕ And much more, see our full list of benefits ___ We're usually always hiring for Backend Engineers, so there's no closing date for this job. #LI-Remote #LI-STM1

Traba is a technology company that enhances the productivity of the light industrial supply chain. We connect businesses with vetted workers to meet their staffing needs by leveraging location monitoring, predictive algorithms, machine learning, AI, computer vision, and other advanced technologies. Our mission is to empower both businesses and workers to reach their full productivity and potential. We’re proud to be backed by some of the world’s best investors, including Founders Fund, Khosla Ventures, and General Catalyst. We are seeking an experienced & entrepreneurial senior backend engineer to join the founding team to help build our backend services and platform. You'll partner with our CTO to help make key architectural decisions, iterate on the roadmap, own product decisions, and architect & build our foundational tech platform to enable scaling over the next several years. About You: * Voracious learner. You love diving into new areas and exploring new languages, databases, and technologies, and can discuss API design one minute and deployment infrastructure pipelines with tech leads the next. * Value clear communication. You recognize the importance of clear communication, documented planning, and transparent, frequent feedback. * Sweat the small stuff. You have strong opinions on design patterns, IDEs, tabs vs. spaces—you understand that how you do one thing is how you do everything, so you care about the details. * Deep experience building distributed systems. You have designed and built performant, scalable applications, and have expertise in developing APIs, data modeling, optimizing database queries, and scaling distributed systems. You Will: * Architect and lead the development of our applications, APIs, and distributed systems * Architect & document our tech platform and advise key product & infrastructure decisions * Implement our CI/CD workflows, using Docker & Github * Build analytics & monitoring to help understand our user experience & application health * Contribute in a ton of other ways to a scrappy founding team building the future of flexible light industrial staffing! You Have: * 5+ years experience with Typescript/___ or Python, RabbitMQ or Kafka, and PostgreSQL or equivalent * A track record of shipping scalable distributed systems * Experience building APIs * Experience with Docker, Github Actions, and Datadog * Experience working in an early-stage engineering team, working through ambiguity, and being a self-starter * A passion for helping people find meaningful work that works for them Benefits: * 📈 Start-up equity * 💰 Competitive Salary * 🩺 100% Paid health, dental & vision coverage * 🍽️ Dinner Provided via DoorDash, free DashPass & stocked kitchen for NY employees * 🚍 Commuter benefit * 🎤 Team building events * 🏋🏽 Gympass Benefit * 🌴 Flexible PTO * ✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health The compensation range for this position is set between $160,000 and $190,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description. Traba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets. Dream Big - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don’t sacrifice long-term value for short-term results. Olympian’s Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field. Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience. Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries’ problems Light industrial flexible staffing is a $50B labor market that encompasses entry-level jobs in warehouses & distribution centers. These workers pack boxes, load trucks, and manage warehouse operations to keep supply chains running at peak efficiency.

Job Description Job Summary The Senior Sales Engineer (m/f/d) plays a crucial role in driving the technical sales process, articulating the business value of Ververica's solutions to prospective clients while providing technical expertise and guidance. This role requires a unique combination of business acumen, technical knowledge, and exceptional communication skills to deliver value-based solutions to customers. Location Anywhere in the USA or Canada. The job boards force us to add locations. Key Responsibilities Solution Sales • Engage with prospective clients to understand their business challenges and technical requirements., • Develop and present tailored solutions that demonstrate the value of Ververica’s products and services., • Provide technical expertise and support throughout the sales cycle, including product demonstrations, technical deep dives, and proof of concepts (PoCs). Solution Design and Architecture • Design and architect solutions leveraging Ververica’s offerings to meet clients' needs., • Collaborate with the product and engineering teams to align customer requirements and product capabilities., • Develop and deliver technical proposals and solution architectures that address customer requirements and highlight the benefits of our solutions. Value Selling • Employ value selling techniques to articulate the business and technical benefits of Ververica solutions., • Build strong relationships with key stakeholders and decision-makers within prospective client organizations., • Work closely with the sales team to identify and address customer pain points and deliver compelling value propositions. Evangelism and Thought Leadership • Act as a thought leader and evangelist for Apache Flink and Ververica’s solutions in the market., • Present at industry conferences, webinars, and other events to promote real-time data processing benefits and use cases with Ververica solutions and Apache Flink., • Create and contribute to technical content such as whitepapers, blogs, and case studies that showcase successful implementations and best practices. Customer Engagement • Conduct technical workshops and training sessions for prospective clients to ensure they understand the capabilities and benefits of our solutions., • Gather and communicate customer feedback to the product management and engineering teams to inform product development and improvement., • Bachelors or Masters degree in Computer Science, Engineering, Business Administration, or a related field., • 10+ years of experience in solution architecture, pre-sales, or a similar technical role within the software, data, and/or analytics industry., • Extensive experience with streaming data technologies, particularly Apache Flink., • Strong technical expertise in big data, distributed systems, and real-time data processing., • Proven experience in value-based selling and the ability to translate technical solutions into business benefits., • Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical concepts to both technical and non-technical audiences., • Demonstrated ability to design and architect enterprise-grade solutions., • Strong problem-solving skills and the ability to think strategically and creatively. At Ververica, you will be part of a dynamic and innovative team at the forefront of real-time data processing technology. We offer a creative and collaborative work environment where your ideas and contributions will shape the future of our brand and its presence in the industry. If you are passionate about streaming data and software sales and want to make a significant impact at a leading tech company, we'd love to hear from you.

Job Description About Fractional AI Fractional AI builds bespoke gen AI software to transform businesses. Every C-suite in the country is trying to bridge the gap between AI in theory and AI in practice. We close this gap with exceptional engineering talent and custom end-to-end AI builds (see some of our case studies to learn more). We’re a San Francisco and NYC-based, engineering-first startup that’s profitable—with over 100% quarter-over-quarter revenue growth—and we’re just getting started. About the role Our talent is our product. Customers choose Fractional AI because we offer elite engineering expertise to build tailored gen AI solutions. As our Head of Talent, you’ll be at the heart of building our most critical asset: our team. You’ll own and scale the recruiting function: developing systems, designing process, and hiring top-tier talent. From Day 1, this is a player-coach role – hands-on recruiting blended with strategic leadership. What you’ll do: * Lead and grow a small but mighty TA team * Champion an uncompromising bar for talent with an exceptional candidate experience * Build the systems for an inclusive, white-glove, AI-native recruiting operation: tools, systems, playbooks, reporting * Serve as a full-cycle recruiter for high-priority technical and go-to-market roles * Partner closely with hiring managers and founders to deeply understand needs and priorities * Serve as the ultimate Fractional AI ambassador and craft our employer brand What you bring to the table: * Experience leading talent acquisition in early-stage and/or engineering-led organizations * Strong people management skills and the ability to inspire trust and followership * Deep understanding of technical recruiting, technical fluency, and strong judgement for what “great” looks like * A data-driven approach with a bias for experimentation and improvement * Track record of building efficient, scalable recruiting operations and infrastructure * Comfort rolling up your sleeves and sourcing, screening, and closing candidates - you’re a doer, not an armchair strategist * Ability to expertly influence internally and externally * A desire to win with an incredible team Why you should (and shouldn’t) join us We believe in transparency and know joining a company is a big decision. We’re not the best fit for everyone and try to be clear on what we are and what we’re not so you make the choice that’s right for you. Why join Fractional? * Incredible momentum with veteran founders: we’re profitable, with >100% quarter over quarter revenue growth, and on track to 4x the team this year. We’re led by multi-time founders with multiple exits under their belts. * A front-row seat to the AI revolution: Getting AI into production is the challenge of our time, and Fractional AI is the go-to applied AI engineering team for top companies, giving you unparalleled access to how AI is changing the world. * Greenspace to build: You’re getting in on the ground floor with unparalleled opportunity for impact. We have a high autonomy culture, giving you the space to set and execute your vision. Why shouldn't you join Fractional? * We are unapologetically building an engineering-first culture – this is how we build the team to meet the moment. We overdeliver for our clients by crafting a culture that enables the best engineers to thrive. * We hold a very high bar. This is a perfect role if you’re motivated by challenge. We’re looking for the top 1% of engineers in SF and NYC, and we won’t compromise that bar, ever. * We’re a team of doers. For the right person, this is a pro, not a con, but this is a hands-on leadership role: source candidates and define our strategy for establishing our employer brand in a new market in the same afternoon. Snapshot of your first 30 days: * Review our current headcount plan and hiring philosophy. * Jump into outbound sourcing for critical roles – from experimenting with outbound email campaigns to joining in-person AI meetups. Extend your first offer. * Chart the roadmap for the TA team and systems to 6x in 18 months – start executing it. * Implement 5+ improvements to our current process. * Engage with all things life at Fractional AI - AI lunch and learns, monthly happy hours, AI project shares. Our Values We overdeliver. We overuse AI. We “over engineer” the culture. Location San Francisco, CA or New York City, NY (4 days in-person, Fridays remote) Benefits 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills. 📈 401k with Matching: Invest in your future with our company-matched retirement plan. 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate. 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. 🚑 Health FSA: Manage out-of-pocket health expenses effectively. 🚌 Commuter Benefits: Make your travel to work easier and more affordable. 🏥 Life Insurance: Providing peace of mind for you and your loved ones. 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit. Ready to join us?

Job Description About Fractional AI Fractional AI builds bespoke gen AI software to transform businesses. Every C-suite in the country is trying to bridge the gap between AI in theory and AI in practice. We close this gap with exceptional engineering talent and custom end-to-end AI builds (see some of our case studies to learn more). We’re a San Francisco and NYC-based, engineering-first startup that’s profitable—with over 100% quarter-over-quarter revenue growth—and we’re just getting started. About the role Our talent is our product. Customers choose Fractional AI because we offer elite engineering expertise to build tailored gen AI solutions. As an early member of our talent acquisition team, you will be at the forefront of attracting, evaluating, and building our team, shaping our recruitment process for the next 100+ hires. What you’ll do: * Source talent: From outbound email campaigns to in-person events, you’ll leave no rock unturned to identify the best full-stack engineers to join Fractional AI. * Partner with candidates through the recruitment cycle: From the first phone call through the offer extension, negotiation, and every step in between, you seek to deeply understand candidates, their motivations, and how they can uplevel our team. * Drive an exceptional recruiting process: You’ll drive a recruiting process that is inclusive, AI-augmented, data-driven, and committed to an exceptional candidate experience. * Shape our employer brand: You’ll be a key ambassador for Fractional AI, our business, and our team. You’ll shape how we market and attract top engineering talent. What you bring to the table: * Demonstrated excellence: Proven success hiring Staff, Principal, and Senior Engineers at early stage companies. * Empathy. You are quick to understand and relate to others. You seamlessly build trusted relationships – with candidates, hiring managers, interviewers. * Data-driven problem-solving skills. You consistently run experiments, measuring new approaches to reach your goals. You consistently leverage data to drive decision making. * Track record of building inclusive recruiting infrastructure. You design equitable, exceptional hiring processes that identify top talent. * Technical fluency. You understand the nuances of different engineering skill sets and how they match the needs of the team (e.g., what is Kubernetes? What is React?). * Unrelenting reliability. Balls don’t drop on your watch. You balance an attention to detail with an awareness of the big picture to get things done. * Obsession with building leverage. If you have to do the same thing twice, you look for a way to automate. You default to using AI to augment your effectiveness. Why you should (and shouldn’t) join us We believe in transparency and know joining a company is a big decision. We’re not the best fit for everyone and try to be clear on what we are and what we’re not so you make the choice that’s right for you. Why join Fractional? * Incredible momentum with veteran founders: we’re profitable, with >100% quarter over quarter revenue growth, and on track to 4x the team this year. We’re led by multi-time founders with multiple exits under their belts. * A front-row seat to the AI revolution: Getting AI into production is the challenge of our time, and Fractional AI is the go-to applied AI engineering team for top companies, giving you unparalleled access to how AI is changing the world. * Greenspace to build: You’re getting in on the ground floor with unparalleled opportunity for impact. We have a high autonomy culture, giving you the space to play to your strengths. Why shouldn't you join Fractional? * We are unapologetically building an engineering-first culture – this is how we build the team to meet the moment. We overdeliver for our clients by crafting a culture that enables the best engineers to thrive. * We hold a very high bar. This is a perfect role if you’re motivated by challenge. We’re looking for the top 1% of engineers in SF and NYC, and we won’t compromise that bar, ever. * We’re a team of doers. For the right person, this is a pro, not a con, but this is a hands-on "build what you need" role. Snapshot of your first 30 days: * Review our current engineering roles and hiring process. * Jump into outbound sourcing – from experimenting with outbound email campaigns to joining in-person AI meetups. * Collaborate with the team to brainstorm and implement improvement to our hiring process. * Bring candidates to technical screens and onsites. Extend your first offer. * Engage with all things life at Fractional AI - AI lunch and learns, monthly happy hours, AI project shares. Our Values We overdeliver. We overuse AI. We “over engineer” the culture. Location San Francisco, CA or New York City, NY (4 days in-person, Fridays remote) Benefits 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills. 📈 401k with Matching: Invest in your future with our company-matched retirement plan. 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate. 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. 🚑 Health FSA: Manage out-of-pocket health expenses effectively. 🚌 Commuter Benefits: Make your travel to work easier and more affordable. 🏥 Life Insurance: Providing peace of mind for you and your loved ones. 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit. Ready to join us?

Job DescriptionWho we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are We're looking for an operator and self-starter who can bring the analytical horsepower of best-in-class consultancy with the scrappiness and execution bias of a builder. You'll help architect the next generation of our People Team — designing the systems, insights, and operating rhythms that enable a 20,000-person organization to move with the precision and agility of a startup. Simultaneously, you will identify and reinvent processes that no longer serve the future vision of Metropolis. If you love the blend of strategy, structure, and speed, and you're energized by turning big, messy challenges into crisp, data-driven solutions, this role is for you. You'll be a trusted partner to senior executives, working on high-visibility, high-impact initiatives that shape how we attract, grow, and engage talent across the company. What you'll do • Drive strategic transformation by partnering with senior People and business leaders to define and execute transformation roadmaps — from org design and process automation to analytics enablement and change management, • Build the story and the system by creating clear, compelling executive-level presentations, models, and frameworks that drive alignment and decision-making, translating complex data and insights into powerful narratives that inspire action, • Operationalize strategy by converting goals into measurable OKRs, dashboards, and trackers, defining what success looks like, and building the tools that help teams get there — driving accountability across the People function and maintaining operating cadences that set the tone for performance culture and transparency, • Automate and optimize by identifying manual, repetitive processes and redesigning them through automation, AI, and lightweight systems that save time and reduce error, • Engineer order from chaos by developing systems and tools to manage competing priorities, track deliverables, and keep teams ruthlessly organized — not just using templates, but building them, • Model like a pro by building and manipulating large data sets to size opportunities, model trade-offs, and drive investment decisions, • Act as a trusted consigliere by supporting sensitive, high-stakes projects with discretion and judgment, often being in the room (or behind the deck) for key executive conversations, • Plug in where it matters most by immersing yourself in team meetings and projects to spot gaps, connect dots, and jump into priority initiatives — serving as the organizational "connective tissue" that keeps information, collaboration, and momentum flowing, • Zoom in and zoom out by shifting seamlessly from rolling up your sleeves to fix a process singlehandedly to engaging C-suite leaders on strategic direction — sometimes in the same dayWhat we're looking for, • 6+ years of a blend at a top-tier consulting firm (Bain, McKinsey, BCG, Deloitte, or equivalent) and in a People strategy/ops role within a high-growth tech or Fortune 500 company, • Exceptional problem-solver with the ability to structure ambiguous challenges, test hypotheses quickly, and deliver data-driven recommendations, • Fluent in tools that move work forward: advanced Excel/Google Sheets, PowerPoint/Slides, data visualization, and automation platforms (Airtable, Zapier, AI copilots, etc.), • High agency and a strong bias for action — the ability to find answers, frame problems, and move work forward without waiting for direction, • Obsessive organization and exceptional attention to detail, supported by proven systems for managing work in fast-moving, high-stakes environments, • Comfort with ambiguity and the ability to thrive when priorities shift, timelines compress, and solutions aren't immediately clear, • Ability to think like a strategist, build like an operator, and communicate like a consultant, • Experience creating clarity from complexity, • Bias for speed and progress, but never at the expense of quality, • Strong intellectual curiosity, humility, and a get-it-done energyWhile not required, these are a plus:, • Exposure to AI or automation in business process improvement, • Experience with OKRs or KPI frameworks Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description Perimeterwatch We are an Astoria, Queens based IT & Cyber Security solutions provider looking for an ambitious IT professional with a minimum of 3 years of experience as a network/systems engineer. WE ARE NOT a placement company or a staffing agency. The candidate we are searching for now will be looking to join a growing, team first environment that helps take their employees' IT careers to the next level. The right candidate should be a great communicator with excellent interpersonal, organizational, and documentation skills. They also will be working on a daily basis in the following main categories and should have experience in each: - Project management- Cyber Security (Next Gen Firewalls/UTM, Endpoint Protection et.al) • Virtualization- Storage & Backup- Networks (Routing & Switching)- Server infrastructure, • Supporting end users in a Windows environment. Preferred Skills: (ideal but not required) A foundation of or working knowledge in all the below will make the ideal candidate. - Configuration and management of various Security Technologies (UTM Firewalls/Anti-Malware/MFA/VPN/DLP et.al) • Introductory SIEM usage and analysis, • Analyze & Process data from multiple threat intelligence tools, • Configuration/administration of VMware and or Hyper-V- Configuration/administration of Active Directory, • Configuration/administration of Microsoft Exchange/Office 365, • Configuration/administration of backup systems, • Configuration/administration of Cisco routers and switches, • Working knowledge in network security technologies (Firewalls, anti-virus, etc.), • Knowledge of networking monitoring tools and protocols, • Support of desktops and desktop applications- Implementation and administration of WSUS Although specific certifications are not required, they are a big plus. Including:, • MCSE or MCITP certification, • VMware certification of any kind, • Cisco certifications (CCNA or higher)- Checkpoint, Cisco, Palo Alto or Fortinet Security Certifications About Perimeterwatch Technologies We are looking for ambitious IT Professionals who are seeking a career path in Cyber Security and Cloud Architecture. Perimeterwatch, is a Managed Security Services Provider (MSSP) that specializes in security auditing, security infrastructure design and deployment services, and ongoing management and support of our clients' infrastructure. Furthermore, out of its Data Center Perimeterwatch provides access to its cloud based security services including zero day breach detection, web application firewalls, DDoS defense and enterprise security of cloud based service provider environments (AWS, Azure and Google). We are looking for ambitious IT Professionals who are seeking a career path in Cyber Security and Cloud Architecture. The right candidate should be a great communicator with excellent interpersonal, organizational, and documentation skills. Upon completion of training the selected candidates will work directly with the following: - Cyber Security (Next Gen Firewalls/UTM, Endpoint Protection et.al) - Breach Detection and Intrusion Prevention - Anti-Malware and Ransomware - Virtualization (Citrix, VDI. VMware & Hyper-V) - Storage Area Networks and backup solutions (SANS) - Complex networks (Routing & Switching) - Server infrastructure Company DescriptionMSSP seeking talented and energetic Level 1 Helpdesk EngineersMSSP seeking talented and energetic Level 1 Helpdesk Engineers