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Invio Automation

<div>
 
 The Company
 
 
 
 Invio Automation is a leading provider of advanced automation solutions, serving high-growth markets including medical device and life sciences, renewable energy, mobility, logistics &amp; fulfillment, and heavy industry. Our collaborative teams deliver mission-critical R&amp;D pre-validation services that lay the foundation for full-scale automation systems&mdash;where precision, efficiency, and accuracy are essential to success. With six locations across North America and a global network of partners, Invio maintains a strong presence in key regions where local service and support matter.
 
 
 Invio&rsquo;s proven portfolio of Industry 4.0 technology includes Autonomous Guided Vehicles (AGVs) for heavyweight applications, turnkey assembly lines, welding automation, lift-assist tools for safety-critical operations, robotic cells, multi-station assembly systems, bonding and welding technologies, vision systems, and precision dispensing solutions such as high-viscosity pumps, impulse bag sealing, and needle bending.
 
 
 Working at Invio means making a direct impact on the future of American manufacturing. We are committed to improving the lives of those who partner with us by designing and integrating custom-engineered automation solutions that enhance safety, increase efficiency, and raise product quality for our customers.
 
 
 
 Description
 
 
 
 The Applications Engineer supports the front-end development of automation solutions by collaborating with mechanical and controls engineers to validate system concepts and prepare customer-focused proposals. This role focuses on learning to interpret customer requirements, RFQs, and application needs while developing foundational skills in system concepts, estimating, documentation, and proposal development. Working under general supervision, the Applications Engineer assists in preparing technical content, CAD layouts, cost inputs, and supporting documentation while gaining hands-on exposure to automation system components and how they integrate into customer processes. This role plays a key part in supporting feasibility studies, proposal accuracy, and cross-functional alignment.
 
 
 
 Responsibilities
 
 
 
 
 ESSENTIAL DUTIES AND RESPONSIBILITIES
 
 
 
 <ul>
 <li>
 Serve as the technical authority and Subject Matter Expert for application development, ensuring customer solutions reflect best practices, innovation, scalability, and Invio standards.
 </li>
 <li>
 Analyze customer RFQs, specifications, concepts, and drawings to extract key requirements and estimating inputs.
 </li>
 <li>
 Assist in preparing system concepts, application notes, CAD layouts, and cost estimates under guidance from senior engineers.
 </li>
 <li>
 Support proposal preparation by gathering BOM data, drawings, and supporting documentation.
 </li>
 <li>
 Perform data collection, basic testing, and documentation to support application feasibility studies.
 </li>
 <li>
 Respond to internal and external information requests related to customer proposals and concepts.
 </li>
 <li>
 Observe and support customer meetings under the guidance of senior engineers.
 </li>
 <li>
 Collaborate cross-functionally with sales, engineering, and operations to align proposed solutions with customer expectations.
 </li>
 <li>
 Document technical findings clearly and accurately using Excel, PowerPoint, and written reports.
 </li>
 <li>
 Track assigned tasks and deadlines, escalating questions or risks as appropriate.
 </li>
 <li>
 Other duties as assigned
 
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 5&ndash;10 years of relevant experience in automation, manufacturing, applications engineering, or a related technical role
 </li>
 <li>
 Experience reviewing customer RFQs, drawings, or technical specifications
 </li>
 <li>
 Familiarity with automation system components, including mechanical, controls, and robotics concepts
 </li>
 <li>
 Strong organizational skills with attention to detail and accuracy
 </li>
 <li>
 Ability to communicate clearly with engineers, sales, and operations teams
 
 
 
 </li>
 </ul>
 
 Other Skills and Abilities:
 
 
 
 <ul>
 <li>
 Excellent interpersonal, negotiation, problem-solving, and conflict-resolution skills
 </li>
 <li>
 Excellent organizational skills and attention to detail
 </li>
 <li>
 Excellent time management skills with a proven ability to meet deadlines
 </li>
 <li>
 Ability to act with integrity, professionalism, and confidentiality
 </li>
 <li>
 Proficient with Microsoft Office Suite or related software
 </li>
 <li>
 Proficiency with or the ability to quickly learn the organization&rsquo;s ERP, and Salesforce system
 </li>
 <li>
 Strategic thinker with the ability to translate business objectives into Invio&rsquo;s sales initiatives
 </li>
 <li>
 Willingness to travel within North America, up to 15% of the time
 
 
 
 </li>
 </ul>
 
 EDUCATION
 
 
 
 Associate&rsquo;s degree required in Engineering Technology, Manufacturing, or a related technical field. Bachelor&rsquo;s degree in Engineering, Manufacturing, or a related field preferred
 
 
 
 INVIO AUTOMATION&rsquo;S CORE VALUES
 
 
 
 <ul>
 <li>
 We take pride in the reliability of our team and the difficult problems we solve for customers.
 </li>
 <li>
 We deliver real customer value that positively impacts the lives of those around us.
 </li>
 <li>
 We are dependable. Relationships and trust matter.
 </li>
 <li>
 Our ingenuity and desire to improve lives will complement our suite of solutions.
 </li>
 <li>
 We strive to demonstrate that our attention to detail does not start or end with the solutions we engineer and deliver.
 </li>
 <li>
 We believe exceptional service is better demonstrated than said.
 </li>
 </ul>
</div>

Applications Engineer - Robotics / Weld Tooling

REGAL

<div>
 ABOUT 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 &ndash; with way less effort. Our founders, Alex Levin and Rebecca Greene helped build Angi (Angie&rsquo;s List, HomeAdvisor and Handy) to over $1.5B in revenue.
 
 
 Based in Manhattan, we&rsquo;re building an in-person culture of entrepreneurs who want to win and build something meaningful. We&rsquo;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:
 
 
 We believe that ten years from now, 90% of businesses interactions with their customers will be handled by autonomous AI Agents. This role is at the forefront of defining those AI Agents that all of us will speak to.
 
 
 The AI Agent Product Specialist role starts with two weeks of intensive training where you will learn to build AI Agents using the Regal AI Agent Platform. Get up to speed on our prompting best practices, function building, and the Regal Operating System. From then on, you&rsquo;re writing the script. We view this role as a jumping off point for entry-level talent looking to start their careers in the exploding field of AI. After 1-2 years in this role, you will be prepared to take on more senior roles at Regal in engineering, product management or customer success.
 
 
 AI Product Specialists at Regal own the creation and refinement of voice prompts, and conversation flows of AI Agents. You&rsquo;ll blend prompt engineering techniques with user-focused product sense to deliver natural, brand-aligned interactions that meet business objectives. You&rsquo;ll become an expert at the different settings/toggles/techniques that STT providers, TTS providers and LLMs expose to tune the performance of AI Agents. And with new use cases, you&rsquo;ll pioneer new prompt engineering techniques, build new functions and deliver product feedback to the Regal product and engineering teams on new feature sets to enhance AI Agent performance. Finally, you&rsquo;ll own Quality Control and testing of AI Agents to ensure they meet quality standards.
 
 
 
 RESPONSIBILITIES:
 
 
 
 <ul>
 <li>
 Understand customer requirements: Work with AI Forward Deployed engineers to understand customer use cases, requirements for AI agents and their business objectives. Review customer&rsquo;s existing human agent call recordings, scripts, training documents, FAQs/knowledge bases and brand guidelines to inform their AI Agent
 </li>
 <li>
 Shape Conversational Experiences: Build AI Agents on the Regal AI Agent Platform leveraging prompt engineering and conversational flows; tune AI agent settings (STT, LLM, TTS) to achieve the conversational quality that is Regal&rsquo;s signature and that meets customer&rsquo;s requirements and business objectives.
 </li>
 <li>
 Build Custom Functions/Tooling: Understand the limitations of LLMs and where code is needed to achieve certain use cases/performance. Use your coding chops to build custom functions that allow your AI Agents to take actions such as validate zip code, schedule callback, update profile
 </li>
 <li>
 QA Test: Develop test cases and thoroughly test your AI Agents to ensure they pass Regal and the customer&rsquo;s quality bar. Develop tooling, where needed, to scale QA testing and deliverables to build customers&rsquo; confidence in AI Agents so they don&rsquo;t have to put QA hours against it
 </li>
 <li>
 Iterate &amp; Learn: Review agent performance in partnership with AI Forward Deployed Engineer who owns the client relationship. Iterate the AI Agent based on customer success criteria
 </li>
 <li>
 Codify Best Practices: Leverage, share, and document best practices for building AI Agents and achieving certain use cases. Participate in prompt engineering forums and research best practices to add to our own techniques. Document what we&rsquo;ve learned in a digestible way for internal and external consumption
 </li>
 <li>
 Deliver Product Feedback: Work closely with Regal PMs and Engineers to give feedback on the Regal AI Agent Platform. As the primary user of the product, you&rsquo;ll spot issues, product gaps, and new capabilities that will help you deliver better performing AI Agents faster - help inform these features!
 </li>
 <li>
 Support Sales Demos: Work with the sales team to build AI Agent MVPs during the sales process to demo agent capabilities to prospects
 
 
 
 
 
 </li>
 </ul>
 
 ABOUT YOU:
 
 
 
 <ul>
 <li>
 Technical Chops: You&rsquo;ve received a Bachelor&rsquo;s or Master&rsquo;s degree in a technical field (i.e. Computer Science, Engineering, Data Science) or have equivalent experience with prompt engineering
 </li>
 <li>
 Professional Work Experience: You have 1-2 year(s) of work or internship experience at start-up tech companies, or impressive personal/school projects that you can provide documentation for
 </li>
 <li>
 Demonstrated Curiosity for AI &amp; Voice: You&rsquo;re excited about the potential of Voice AI, and keep up with the latest products in the space. You&rsquo;ve experimented with conversational design or prompt engineering for a school, work or personal project.
 </li>
 <li>
 Analytical Thinking &amp; Problem Solving: You see beyond the immediate ask, being able to break down problems into their component parts and tackle them iteratively. The ideal candidate likes to tinker and try new approaches, borrowing ideas from others and building from their own previous experiences
 </li>
 <li>
 Time Management Skills: You know how to prioritize among competing tasks (or ask for help when needed), manage deadlines, and proactively keep your team &amp; other stakeholders in the loop
 </li>
 <li>
 Relentless Ownership: You own accountability for the success of your work, making smart trade-offs, iterating quickly, and doing whatever it takes to ship on time. &ldquo;Not my problem&rdquo; isn&rsquo;t in your vocabulary
 </li>
 <li>
 Entrepreneurial DNA: You&rsquo;re considering being a founder one day. You thrive in fast-paced, ambiguous environments and absorb everything. Adaptability and growth mindset are qualities that help you navigate change and complexity with ease
 
 
 
 
 
 </li>
 </ul>
 
 AI Product Specialist vs. AI Forward Deployed Engineer - What's the Difference?
 
 
 
 <ul>
 <li>
 The AI Product Specialist is more internal-facing, part of a centralized team using the Regal AI Agent Platform to build and test AI agents, codifying best practices and processes for AI Agent development and QA testing, and giving feedback to our product and engineering teams on how the platform needs to evolve (as well as building demos for the sales and marketing teams and working on internal projects). AI Product Specialists have a technical degree, but only 0-2 years of previous experience.
 </li>
 <li>
 The AI Forward Deployed Engineer is more customer-facing, owning the launch and overall success of each AI Agent deployment and customer relationship, ensuring AI Agents can successfully integrate into the customer&rsquo;s existing systems and workflows and achieve their business goals (as well as growing revenue by identifying more use cases and opportunities for AI Agents). AI Forward Deployed Engineers have 3+ years in a technical customer-facing role (e.g., Solutions Engineer, Implementation Consultant) or have PM experience in a tech environment
 
 
 
 
 
 </li>
 </ul>
 
 BENEFITS/PERKS:
 
 
 
 <ul>
 <li>
 We care about your health!
 </li>
 <li>
 Medical, Dental, and Vision plans - 80% covered by the company
 </li>
 <li>
 Flexible PTO &amp; 11 paid holidays/year
 </li>
 <li>
 We care about future you!
 </li>
 <li>
 401k Plan
 </li>
 <li>
 Paid parental leave
 </li>
 <li>
 Pre-tax commuter benefits
 </li>
 <li>
 We care about connection!
 </li>
 <li>
 In-office breakfast and snacks daily
 </li>
 <li>
 Happy hours, team outings, &amp; annual off-sites
 </li>
 <li>
 Complete laptop workstation
 </li>
 <li>
 &amp; more to come!
 
 
 
 
 
 </li>
 </ul>
 
 POSITION LOCATION &amp; OFFICE DETAILS:
 
 
 This position is only available in New York City (HQ- NoMad). Hybrid roles are required in office T/W/TH and encouraged 5x/week.
 
 
 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.
 
 
 The reasonably estimated base salary for this role is provided as a range within this job description. All offers include a competitive equity package and some offers may additionally include a variable compensation component. Actual compensation is determined on an individualized basis taking into consideration factors such as the candidate's skills, location, qualifications, experience, and relevant education or training. In addition, Regal offers a comprehensive set of employee benefits which are listed above. Details about the compensation package will be finalized at the time of offer.
</div>

AI Product Specialist

Niural AI

<div>
 
 AI Product Operator Intern
 
 
 
 
 About Niural
 
 
 
 At Niural, we're not just building products; we're redefining how companies operate in a new era of the internet driven by AI. We're creating truly global solutions that empower businesses to thrive in the digital economy. If you're eager to join a relentlessly ambitious team, develop tools that will influence the flow of billions of dollars, and share in the asymmetric financial rewards of building foundational internet infrastructure, then come help us shape the future of finance.
 
 
 We are a global Payroll, Employer of Record (EOR), Agent of Record (AOR), and Contractor Management platform. As we scale, we are looking for an AI Operator to work alongside our Product team and build the internal tools and AI systems that eliminate manual work across the organization.
 
 
 
 The Role
 
 
 
 You are a builder. The Product Manager will identify and prioritize what needs to be automated. Your job is to take those problems and turn them into working systems, fast. You will code, architect AI workflows, deploy internal tools, and leverage AI-native development tools like Claude Code to ship at a pace that would normally require a much larger team.
 
 
 This role is for someone with a strong engineering mindset who is comfortable writing production-quality code, wiring up complex multi-step AI pipelines, and deploying tools that real teams rely on every day.
 
 
 
 What You Will Do
 
 
 
 
 Build Internal Tools
 
 
 
 <ul>
 <li>
 Develop and deploy full-stack internal applications (web apps, dashboards, admin panels) for Operations, Data Research, Accounting, Sales, and Marketing teams
 </li>
 <li>
 Use frameworks like React, Next.js, Python/FastAPI, or similar to build tools that are fast, reliable, and easy for non-technical teammates to use
 </li>
 <li>
 Own the full lifecycle: build, deploy, monitor, and iterate
 
 
 </li>
 </ul>
 
 Engineer AI Workflows &amp; Agents
 
 
 
 <ul>
 <li>
 Design and build complex, multi-step AI workflows using LLM APIs (Anthropic, OpenAI), agent frameworks (LangChain, CrewAI, n8n AI agents), and RAG pipelines
 </li>
 <li>
 Build AI systems for data extraction, document processing, classification, compliance research, payroll validation, and knowledge base Q&amp;A
 </li>
 <li>
 Implement robust prompt engineering, output validation, and error handling to ensure AI systems perform reliably at scale
 
 
 </li>
 </ul>
 
 Integrate Systems &amp; Automate Pipelines
 
 
 
 <ul>
 <li>
 Build integrations between internal systems (HRIS, payroll engines, CRMs, databases, Slack, email, spreadsheets) to eliminate manual data transfer
 </li>
 <li>
 Create data pipelines that automate reporting, reconciliation, and exception handling for the Accounting and Operations teams
 </li>
 <li>
 Automate contractor onboarding, invoice processing, payment workflows, and compliance data collection across multiple countries
 
 
 </li>
 </ul>
 
 Ship with AI-Native Development
 
 
 
 <ul>
 <li>
 Use Claude Code and other AI-assisted coding tools daily to accelerate development velocity
 </li>
 <li>
 Vibe code: move fast, prototype rapidly, validate with real users, and iterate
 </li>
 <li>
 Maintain clean, well-documented codebases so that automations and tools can be extended over time
 
 
 </li>
 </ul>
 
 Support Sales &amp; Marketing Systems
 
 
 
 <ul>
 <li>
 Build lead enrichment, CRM hygiene, and outbound personalization workflows
 </li>
 <li>
 Create content generation and repurposing pipelines for the marketing team
 </li>
 <li>
 Develop internal tools that give the Sales team faster access to prospect and market data
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 2+ years of software engineering experience with strong proficiency in Python and/or JavaScript/TypeScript
 </li>
 <li>
 Hands-on experience building and deploying web applications (React, Next.js, Node.js, FastAPI, or equivalent)
 </li>
 <li>
 Deep experience with AI/LLM APIs (Anthropic, OpenAI) including prompt engineering, function calling, and structured outputs
 </li>
 <li>
 Experience building multi-step AI workflows or agent-based systems
 </li>
 <li>
 Knowledge of RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and document processing pipelines, with the ability to implement them when needed
 </li>
 <li>
 Comfort with databases (SQL, PostgreSQL) and API integrations (REST, webhooks)
 </li>
 <li>
 Experience deploying and maintaining applications in production (Docker, cloud platforms like AWS, GCP, or Vercel)
 </li>
 <li>
 Fluency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot)
 </li>
 <li>
 Strong bias toward shipping. You prefer a working prototype today over a perfect plan next week
 
 
 </li>
 </ul>
 
 Nice-to-Have
 
 
 
 <ul>
 <li>
 Familiarity with automation platforms (n8n, Make, Retool) for rapid prototyping
 </li>
 <li>
 Background in payroll, HR tech, EOR/AOR, fintech, or compliance operations
 </li>
 <li>
 Experience with agentic AI frameworks (LangChain, LangGraph, CrewAI)
 </li>
 <li>
 Understanding of global payroll compliance, tax regulations, or labor laws
 
 
 </li>
 </ul>
 
 How We Will Measure Success
 
 
 
 <ul>
 <li>
 30 days: Ship 2-3 working internal tools based on priorities set by the Product Manager; establish your local development and deployment workflow
 </li>
 <li>
 60 days: Have 5+ tools or automations actively used by internal teams; demonstrate measurable reduction in manual hours for at least 2 departments
 </li>
 <li>
 90 days: Own a portfolio of internal AI systems and tools that are reliable, documented, and integrated into daily operations across the company
 
 
 </li>
 </ul>
 
 Why Join Niural
 
 
 
 <ul>
 <li>
 You will build systems that directly impact how a global fintech platform operates and scales
 </li>
 <li>
 You get to work across the full stack of modern AI tooling, from LLM APIs to agent frameworks to full-stack apps
 </li>
 <li>
 You will ship constantly and see your work used by real people every day
 </li>
 <li>
 You are joining a team that values speed, ownership, and ambition over process and perfection
 
 
 </li>
 </ul>
</div>

AI Product Operator - Intern

Whatnot

<div>
 
 
 🚀 Join the Future of Commerce with Whatnot!
 
 
 
 
 Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
 
 
 As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
 
 
 We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
 
 
 
 💻 Role
 
 
 
 Data is crucial to Whatnot&rsquo;s mission to bring people together through commerce.
 
 
 As our newest
 
 Data Engineer
 
 , you&rsquo;ll build and scale the systems that power data-driven decisions across the company. You&rsquo;ll work directly with stakeholders across the business &ndash; such as product, sales, marketing, finance, and trust teams &ndash; to design reliable data architectures, ship resilient pipelines, and create the foundational data products that power Whatnot&rsquo;s internal and external growth.
 
 
 
 On Any Given Day, You Will
 
 
 
 <ul>
 <li>
 Own data architecture end-to-end. Define how we capture, model, and serve critical business data&mdash;then implement it in production. You&rsquo;ll make architectural decisions around storage formats, compute patterns, and SLAs that balance cost, scalability, and consistency.
 </li>
 <li>
 Build mission-critical pipelines. Develop and operate streaming and batch data workflows that process high-volume events across multiple domains&mdash;user activity, transactions, experimentation, marketing performance, and operational telemetry&mdash;with tight guarantees for latency, completeness, and accuracy.
 </li>
 <li>
 Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics, ML, and real-time applications. Establish and enforce modeling standards, ownership boundaries, and data contracts across teams.
 </li>
 <li>
 Enforce data quality at scale. Build tests, lineage, monitoring, and reconciliation systems that make every dataset observable and every anomaly actionable.
 </li>
 <li>
 Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems.
 </li>
 <li>
 Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, low-latency data through semantic layers, APIs, and real-time query systems.
 
 
 </li>
 </ul>
 Due to the cross-functional nature of this role, candidates will be matched to multiple teams based on need and experience, including product, analytics, or data platforms teams.
 
 
 
 👋 You
 
 
 
 People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
 
 
 <ul>
 <li>
 Have 3+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.
 </li>
 <li>
 Can design and implement data models using dimensional, Data Vault, or ledger-style techniques that support analytical and transactional workloads.
 </li>
 <li>
 Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).
 </li>
 <li>
 Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.
 </li>
 <li>
 Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.
 </li>
 <li>
 Enjoy partnering across disciplines&mdash;engineering, product, analytics&mdash;to translate messy business requirements into elegant data systems.
 </li>
 <li>
 Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work.
 
 
 </li>
 </ul>
 If designing the data backbone that powers Whatnot&rsquo;s growth, insights, and product innovation excites you, we&rsquo;d love to meet you.
 
 
 
 We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
 
 
 
 
 💰Compensation
 
 
 
 
 For Full-Time (Salary)
 
 
 
 
 US based applicants:
 
 $180,000/year to $260,000/year + benefits + equity.
 
 
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 
 
 
 🎁 Benefits
 
 
 
 <ul>
 <li>
 Generous Holiday and Time off Policy
 </li>
 <li>
 Health Insurance options including Medical, Dental, Vision
 </li>
 <li>
 Work From Home Support
 </li>
 <ul>
 <li>
 Home office setup allowance
 </li>
 <li>
 Monthly allowance for cell phone and internet
 </li>
 </ul>
 <li>
 Care benefits
 </li>
 <ul>
 <li>
 Monthly allowance for wellness
 </li>
 <li>
 Annual allowance towards Childcare
 </li>
 <li>
 Lifetime benefit for family planning, such as adoption or fertility expenses
 </li>
 </ul>
 <li>
 Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
 </li>
 <li>
 Monthly allowance to dogfood the app
 </li>
 <ul>
 <li>
 All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
 </li>
 </ul>
 <li>
 Parental Leave
 </li>
 <ul>
 <li>
 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
 </li>
 </ul>
 </ul>
 
 
 💛 EOE
 
 
 
 
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 
 
 Compensation Range: $180K - $260K
 
 
</div>

Data Engineer

Nscale

<div>
 
 About Nscale
 
 
 
 Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.
 
 
 We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you&rsquo;ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you&rsquo;ll be contributing to building the technology that powers the future.
 
 
 
 About The Role (Job Purpose)
 
 
 
 We&rsquo;re looking for a
 
 Data Engineer
 
 to help design, build, and operate the data foundations that underpin Nscale&rsquo;s platform, internal operations, and customer-facing capabilities.
 
 
 This is a
 
 high-impact, early-stage role
 
 . You&rsquo;ll work closely with Operations, Infrastructure, Platform Engineering, Product, and Commercial teams to turn raw operational signals &mdash; from GPUs, clusters, customers, and internal systems &mdash; into reliable, scalable data products that ensure delivery at a previously unseen pace. You&rsquo;ll help define
 
 how data is collected, modelled, served, and trusted
 
 across the company, and have the opportunity to build on Palantir Foundry, as well as other products.
 
 
 This role is ideal for someone who enjoys building data systems from first principles, thrives in ambiguous environments, and wants to see their work directly influence product decisions, platform reliability, and customer outcomes.
 
 
 
 What You&rsquo;ll Be Doing (Responsibilities)
 
 
 
 
 Data Platform &amp; Architecture
 
 
 
 <ul>
 <li>
 Design and build scalable, reliable data pipelines that ingest data from infrastructure, platform services, and business systems.
 </li>
 <li>
 Define data models and schemas that support operational workflows and use cases across the business, monitoring, and analytics.
 </li>
 <li>
 Clean, transform and structure the data to create a digital twin of Nscale.
 </li>
 <li>
 Implement permissioning and manage access and security of the Foundry implementation.
 
 
 </li>
 </ul>
 
 Data Products &amp; Enablement
 
 
 
 <ul>
 <li>
 Create trusted datasets and metrics that power workflows and processes, internal tools, and customer-facing insights.
 </li>
 <li>
 Enable self-serve analytics by establishing clear data contracts, documentation, and semantic layers.
 </li>
 <li>
 Build use cases including but not limited to capacity planning, cost optimisation, reliability analysis, and customer reporting to drive our business forward.
 </li>
 <li>
 Collaborate with Product and Commercial teams to translate real-world questions into robust data solutions.
 
 
 </li>
 </ul>
 
 Reliability, Quality &amp; Governance
 
 
 
 <ul>
 <li>
 Implement data quality checks, monitoring, and alerting to ensure data correctness and availability.
 </li>
 <li>
 Codify data lineage, freshness, and consistency across systems.
 </li>
 <li>
 Establish best practices around data versioning, access control, and governance appropriate for a fast-scaling company.
 </li>
 <li>
 Continuously improve system resilience and observability.
 
 
 </li>
 </ul>
 
 Early-Stage Ownership &amp; Growth
 
 
 
 <ul>
 <li>
 Take end-to-end ownership of projects, from design through to production and iteration.
 </li>
 <li>
 Help define standards, tooling, and ways of working for data at Nscale.
 </li>
 <li>
 Contribute to technical decision-making as the company scales its platform and customer base.
 </li>
 <li>
 Act as a thought partner to engineers and operators, not just a service function.
 
 
 </li>
 </ul>
 
 About You (Skills / Qualifications)
 
 
 
 <ul>
 <li>
 Deep, hands-on experience building in Palantir Foundry, including ontology modelling, pipeline development, API integration, and large-scale data platform design.
 </li>
 <li>
 Strong proficiency in Python, with experience applying data engineering libraries and frameworks (e.g. Spark, PySpark, Dask, pandas) to work with large, complex datasets.
 </li>
 <li>
 Familiarity with API-driven data integration, including REST, GraphQL, and Foundry Action APIs.
 </li>
 <li>
 Practical experience working in Git-based development workflows, including code reviews, version control, and CI/CD pipelines.
 </li>
 <li>
 Comfort working in ambiguous, early-stage environments where requirements evolve quickly.
 </li>
 <li>
 Strong communication skills &mdash; able to explain data concepts clearly to technical and non-technical stakeholders.
 </li>
 <li>
 A bias toward ownership, pragmatism, and shipping useful solutions.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (AWS, GCP, Azure) and infrastructure telemetry.
 </li>
 <li>
 Familiarity with distributed systems, monitoring data, or usage-based billing data.
 </li>
 <li>
 Experience supporting customer-facing data products or platforms.
 
 
 </li>
 </ul>
 
 What We Can Offer You
 
 
 
 At Nscale, you'll find a
 
 collaborative, supportive, and innovative environment
 
 where your contributions spark real impact. We're building something extraordinary, and we want you at the core.
 
 
 <ul>
 <li>
 Highly competitive package (base + equity) with reviews every 12 months. 🚀
 </li>
 <li>
 Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI. ✨
 </li>
 <li>
 Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support.
 </li>
 <li>
 Human-First Flexibility: We treat you as humans first. 🫶🏽 Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.
 </li>
 <li>
 Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work.
 
 
 </li>
 </ul>
 
 Interview Process
 
 
 
 <ul>
 <li>
 Phone screen
 </li>
 <li>
 Coding interviews
 </li>
 <li>
 Hiring Manager interview
 
 
 </li>
 </ul>
 
 Equal Opportunities Statement
 
 
 
 We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.
 
 
 If there&rsquo;s anything we can do to accommodate your specific situation, please let us know.
 
 
 The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.
 
 
 
 For information on how Nscale handles candidate personal data, please see our Employee &amp; Candidate Privacy Notice: Here.
 
</div>

Uber

<div>
 
 Employer:
 
 Uber Technologies, Inc.
 
 
 
 Job Title:
 
 Software Engineer
 
 
 
 Job Location:
 
 New York, New York
 
 
 
 Job Type:
 
 Full Time
 
 
 
 Rate of Pay:
 
 $150,000 to $166,000 per year
 
 
 You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits .
 
 
 
 Duties:
 
 Design, develop, and test software applications. Design, develop, and/or test software applications using company technology stack. Apply technical knowledge to evaluate complex data, developments, and projects in order to provide recommendations to resolve technical issues. Support the company's business operations and improve engineering productivity. Build software components that can be integrated into a fully functional software system. Solve production issues in product and system reliability. May telecommute.
 
 
 Employer will accept a Bachelor's degree in Computer Science, Engineering (Any), Information Technology, Mathematics, Physics, or related field and one year of experience in the job offered or related occupation.
 
 
 
 Position Requires One Year In
 
 
 
 <ul>
 <li>
 C++, Python, Java, GIT, or SVN;
 </li>
 <li>
 SQL or MySQL;
 </li>
 <li>
 Data structures and algorithms development and functionality;
 </li>
 <li>
 Designing technology stacks;
 </li>
 <li>
 Debugging and monitoring for production services;
 </li>
 <li>
 Distributed systems;
 </li>
 <li>
 Software Development Lifecycle.
 </li>
 </ul>
</div>

Software Engineer

Launch Math + Science Centers

<div>Launch provides inspiring afterschool programs by merging innovative curriculum with an engaging learning experience to foster appreciation and generate excitement for STEM topics. Designed for kids ranging from toddlers to tweens, Launch&rsquo;s unique programs spark each child&rsquo;s intrinsic desire to learn. 
The company is hiring part-time instructors to work with students individually, in small groups, and in afterschool classes.
Launch Instructors work in the learning center in Manhattan, in students' homes, virtually, or in one of our many partner schools leading project based enrichment classes focused on STEM and/or tutoring students in math. Examples of STEM classes include (but are not limited to): Coding with Scratch, Freaky Forces + Elusive Energies, Rockin' Robotics, and our &quot;I Wanna Be...&quot; series featuring Detective, Animator, and Marine Biologist! Launch offers private or group math sessions focused on remediation, homework help, and test prep.
As a Launch Instructor you are expected to:
<ul><li>Provide top quality instruction utilizing proven Launch methods, curriculum, and provided materials</li>
<li>Enthusiastically engage students during instructional sessions</li>
<li>Help students gain confidence in their ability to learn and succeed</li>
<li>Constantly assess and consider ways to improve classroom experience</li>
Maintain regular communications with the Launch Program Coordinators 
<li>
</li></ul> 
 
Requirements 
<ul>
<li>For STEM classes, subject matter expertise in related sciences, tech, or math; A passion and skill for building hands-on projects with kids; Ability to code using Scratch, Python, and/or App Lab a big plus</li>
<li>For math tutoring, must have strong proficiency in primary school math through Algebra, with Precalculus a plus.</li>
<li>Strong desire to teach children</li>
<li>Personable, friendly, reliable and communicative</li>
<li>Previous experience working with students as a tutor or in a similar capacity</li>
<li>A relatively flexible schedule and the ability to commit to servicing students for an extended duration, preferably a full academic year</li>
<li>Most important, the belief that every student can learn and love math and science</li> 
</ul> 
 
Benefits 
<ul>
<li>$25 per hour, with most daily assignments ranging from approximately 1.75 to 2.5 hours</li>
<li>For STEM classes, all curriculum and materials are provided (you do not need to create lesson plans)
</li><li>Part-time position</li></ul></div>

Afterschool STEM Instructor + Tutor (K-8, UES, Spring 2026)

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Afterschool STEM Instructor + Tutor (K-8, UES, Spring 2026)