Product engineer jobs in Woodbridge, NJ

Apexon is now one of the fastest-growing companies in digital engineering services. We nurture your career goals and provide you with opportunities to strengthen your skillset while working on cutting-edge technologies and diverse projects for our clients. To be considered for an interview, please make sure your application is full in line with the job specs as found below. We are a global community spread across 19 locations around the world including many in the U.S. such as Silicon Valley, New York, Chicago, IL, Princeton, NJ, Southfield, MI, Bellevue, WA, Dublin, OH, Dallas, TX, and Windsor, Ontario, Canada We are now in MEXICO too! Join us on this exciting journey and take your career to new heights. We are currently building a team of AI Engineers and you can be a part of it. Please go through below Job description: *Role:* JD: _In this role, you will be responsible for launching and implementing GenAI agentic solutions aimed at reducing the risk and cost of managing large-scale production environments with varying complexities. You will address various production runtime challenges by developing agentic AI solutions that can diagnose, reason, and take actions in production environments to improve productivity and address issues related to production support._ _What you'll do:_ _*Build agentic AI systems: Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol. Engineer robust guardrails for safety, compliance, and least-privilege access.*_ _*Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations.*_ _*Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability.*_ _*Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business-aligned outcomes.*_ _*Safety, reliability, and governance: Build validator models, adversarial prompts, and policy checks into the stack; enforce deterministic fallbacks, circuit breakers, and rollback strategies; instrument continuous evaluations for usefulness, correctness, and risk.*_ _*Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real-world load.*_ _*Build a RAG pipeline: Curate domain-knowledge; build data-quality validation framework; establish feedback loops and milestone framework maintain knowledge freshness.*_ _*Raise the bar: Drive design reviews, experiment rigor, and high-quality engineering practices; mentor peers on agent architectures, evaluation methodologies, and safe deployment patterns*_ * Role Requirements: understand what skills, experience, and qualities you are looking for. ESSENTIAL SKILLS * _5+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred._ * _3+ years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows._ * _Practical experience with Large Language Models (LLMs): API integration, prompt engineering, fine-tuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution)._ * _Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude)._ * _Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions._ * _Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact. xevrcyc _ * _Preferred: Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation). _ * #IND1 Job Type: Full-time Pay: $116,332.88 - $140,099.80 per year Benefits: * 401(k) * Dental insurance * Health insurance * Paid time off * Vision insurance Work Location: In person

Reports directly to the Project Manager or designated Deputy Project Manager. Primary Responsibilities: Manage all aspects of project documentation, including submittals, RFIs, and meeting minutes. Prepare logs and other documentation required for construction meetings. Distribute updated drawings and design changes to subcontractors. Draft change orders and track subcontractor pricing for review by the Project Manager. Coordinate with the project team to ensure timely and efficient project closeout. Print and perform minor updates to project schedules. Monitor milestone dates to ensure submittal deadlines are met. Work with subcontractors to obtain submittal documentation and material lead time information. Perform additional tasks as assigned by the Project Manager or Deputy PM, consistent with the responsibilities of a Project Engineer on heavy civil construction projects. Qualifications & Skills: Minimum of 5 years of experience in the construction industry, preferably with self-performed work in heavy civil projects (e.g., bridges, highways, tunnels, and similar infrastructure). Self-motivated and collaborative, with a strong team-oriented mindset. Ability to work extended hours and maintain flexibility during peak project demands or critical operations. Responsive to calls, texts, and emails. Solid understanding of construction documentation, cost control, scheduling, and labor management. Proficiency with company software, Microsoft Office Suite, and Microsoft Project. Strong organizational skills with the ability to manage tasks independently and meet critical deadlines. Comfortable leading junior engineers, field engineers, interns, and other less experienced team members. Excellent writing, editing, and proofreading skills. Thrives in a fast-paced environment; resourceful and innovative.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at BNY Mellon, Fidelity, or Bank of America, among many other leading organizations in the New York | New Jersey area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelorʼs degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Business Operations - Banking - IT Support - Investment Operations - Data Analytics - Project Management - Network Security & Support Get the skills and opportunity you need to launch your professional career. 75% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year. PandoLogic. Category:General, Location:Newark, NJ-07184

Position Overview: The Project Engineer position offers a dynamic and self-motivated individual the unique opportunity to be part of a rapidly growing business in a rewarding field. The position offers a balance between field work (approximately 70%) and office work (approximately 30%) and provides for a fulfilling experience in the environmental field in a fast-paced company. Opportunities for advancement in this position include Assistant Project Manager and Project Manager. This position requires overnight travel approximately 25% of the time. Key Responsibilities: • Field: o Support in-house construction crews and site superintendents o Oversight and management of subcontractors o Complete daily field logs and conduct daily safety briefings o Confirm field quality objectives are achieved o Collect field data via surveying and sampling equipment o Project support and communication with project management • Office: o Support project management and construction estimates o Produce, manage, and maintain Project Submittal logs o Report writing (e.g. Workplans, Health and Safety Plans, etc.) o Data management and site plan development o AutoCAD drawings o Project scheduling and logistics o Develop knowledge of construction and environmental and safety regulations o Interact with clients, subcontractors, regulatory officials, and industry professionals o Support overall business operations

The ideal candidate possesses both a high level of technical expertise and an innate passion to build. You will play a critical role in creating and refining processes in order to improve manufacturing safety, quality, and productivity. Responsibilities Participate in PPAP process, including drawing feasibility reviews, manufacturing reviews, Failure Modes and Effects Analyses (FMEAs) reviews, etc. Collaborate with other departments to investigate and address quality-related issues using methodologies like 8D, Kaizen, DMAIC, and root cause analysis. Develop and maintain production-related documentation and Standard Operating Procedures (SOPs). Qualifications BS degree in Mechanical Engineering, Manufacturing/Industrial Engineering, or equivalent. 2+ years of engineering experience within a high-volume manufacturing environment. Experience with Continuous Improvements, Lean, Six Sigma, Kaizen, and 5S tools. To all staffing agencies: Wiss does not utilize 3rd party firms for any internal or client positions. Please be advised, Wiss is not responsible for any fees related to unsolicited resumes. All unsolicited resumes will become the property of Wiss.

At Mercor, we're building the talent engine that helps leading labs and research orgs move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads. If you're an early-career Machine Learning Engineer or an ML PhD who cares about innovation and impact, we'd love to meet you. ## What to Expect As a Machine Learning Engineer, you'll tackle diverse problems that explore ML from unconventional angles. This is a remote, asynchronous, part-time role designed for people who thrive on clear structure and measurable outcomes. - **Schedule:** Remote and asynchronous-set your own hours - **Commitment:** ~20 hours/week - **Duration:** Through December 22nd, with potential extension into 2026 ## What You'll Do - Draft detailed natural-language plans and code implementations for machine learning tasks - Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments - Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks ## What You'll Bring - **Experience:** 0-2 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required) - **Required Skills:** Python, ML libraries (XGBoost, Tensorflow, scikit-learn, etc.), data prep, model training, etc. - **Bonus:** Contributor to ML benchmarks - **Location:** MUST be based in the United States ## Compensation & Terms - **Rate:** $80-$120/hr, depending on region and experience - **Payments:** Weekly via Stripe Connect - **Engagement:** Independent contractor ## How to Apply 1. Submit your resume 2. Complete the System Design Session (< 30 minutes) 3. Fill out the Machine Learning Engineer Screen (engineering, and research use Mercor to work on frontier projects shaping the next era of AI.

SciTec is a dynamic small business, with the mission to deliver advanced sensor data processing technologies and scientific instrumentation capabilities in support of National Security and Defense, and we are growing our creative team! We support customers throughout the Department of Defense and U.S. Government in building innovative new tools to deliver unique world-class data exploitation capabilities. The experience expected from applicants, as well as additional skills and qualifications needed for this job are listed below. Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered. SciTec has immediate opportunities for experienced Staff and Senior Staff DevSecOps engineers. Responsibilities Manage integration, security scanning, and deployment of multiple applications into orchestrated frameworks. Work with deployment teams to orchestrate deployments to development, test, and operational environments. Create, maintain, and improve Continuous Integration (CI) pipelines in gitlab-ci. Monitor CI pipelines for performance and resolve observed or reported issues. Implement and maintain version promotion of one or more applications within CI pipelines. Integrate CI pipelines with development tools for artifact management, software test, software quality assessment, etc. Implement Continuous Delivery and execute automated or manual deployments of applications into orchestrated k8s environments. Execute checkout and troubleshooting of deployed applications within development and production environments. Execute software release processes including release branch creation, integration, checkout and test. Implement and maintain Helm charts. Ensure cybersecurity protocols are followed. Other duties as assigned. Requirements At least two years of professional experience building and executing DevOps or DevSecOps solutions using Continuous Integration / Continuous Deployment (CI/CD). Strong experience designing and developing application container deployment solutions using Docker, docker-compose, Kubernetes, etc. Experience with Amazon Elastic Kubernetes Service (EKS) Experience with Istio service mesh as well as Prometheus and Grafana Strong experience maintaining deployment environments for development, test and production Experience with authentication technologies, such as Keycloak At least one year of professional experience using Python3 At least one year of professional experience using Linux operating systems A bachelor's degree in computer science, engineering, mathematics, or physical sciences The ability to obtain and maintain a DoD security clearance Ability to work 100% on-site Detail oriented Good verbal and written communication skills Candidates who have any of the following skills will be preferred: Strong experience with software vulnerability scanning with static and dynamic code analysis Experience with software vulnerability assessment and remediation using SAST/DAST and tools like Sonarqube Strong experience with software package artifact management using JFrog Artifactory, Nexus or similar Development experience in Python, C++ Experience with container security tools such as Grype, Syft Experience with version control using Git Systems and service administration in a Linux environment, including the installation and maintenance of applications supporting CI/CD like Gitlab, etc *Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment. Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Benefits SciTec offers a highly competitive salary and benefits package, including: 3% Fully Vested Company 401K Contribution (no employee contribution required) 100% company paid HSA Medical insurance, with a choice of 2 buy-up options 80% company paid Dental insurance 100% company paid Vision insurance 100% company paid Life insurance 100% company paid Long-term Disability insurance 100% company paid Hospital Indemnity insurance Voluntary Accident and Critical Illness insurance Short-term Disability insurance Annual Profit-Sharing Plan Discretionary Performance Bonus Paid Parental Leave Generous Paid Time Off, including Holiday, Vacation, and Sick Pay Flexible Work Hours The pay range for this position is $96,000 - $141,000/year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation. SciTec is proud to be an Equal Opportunity employer. xevrcyc VET/Disabled. #ND123

Our client is seeking Senior Salesforce Developer Engineer to join their team! This position is located in New York, New York. Lead the design, development, and deployment of scalable Salesforce solutions using Apex, Lightning Web Components (LWC), and integration APIs Partner with business stakeholders, solution architects, and engineering teams to translate requirements into robust, extensible technical designs Implement Salesforce integrations with AWS services such as Lambda, S3, and API Gateway, ensuring secure and performant data exchange Collaborate with UX and front-end teams to deliver modern, responsive user experiences using React.js, TypeScript, and Figma Design and implement event-driven architectures using Platform Events, Change Data Capture (CDC), and asynchronous Apex to support scalable, loosely coupled integrations Oversee code reviews, enforce development standards, and drive continuous improvement through CI/CD pipelines, automation, and DevOps practices Troubleshoot and optimize performance across environments, ensuring reliability, maintainability, and compliance with enterprise security standards Evaluate and integrate NPM packages and open-source libraries to enhance component functionality and maintain consistency across applications Contribute to Salesforce platform modernization by leveraging AWS DevOps tools, automation frameworks, and reusable architecture components Stay current on emerging technologies, including Salesforce AI (Einstein, GPT-based assistants) and MuleSoft, to evolve integration and automation capabilities Desired Skills/Experience: Bachelor's degree in Computer Science, Software Engineering, or related field 7+ years of proven expertise in leading new Salesforce implementations, guiding a team of developers through end-to-end solution design, development, and deployment Proven expertise in Apex, LWC, and Flow Builder, blending custom development with Salesforce's out-of-the-box capabilities to create scalable and maintainable solutions Strong hands-on experience in Salesforce event-driven architecture, including Platform Events, CDC, and pub/sub patterns for real-time, asynchronous communication Deep understanding of Salesforce data architecture, security model, and multi-org governance in a shared platform environment supporting multiple lines of business Proven ability to design and implement secure integrations using Salesforce APIs, MuleSoft, and AWS services such as: Lambda, S3 and API Gateway Strong background in JavaScript, React.js, and TypeScript, applying component-based principles and UI best practices across Salesforce and standalone apps Demonstrated experience collaborating with data teams to analyze, troubleshoot, and resolve complex data quality and integration issues across systems Experience translating Figma mockups into responsive, accessible, and reusable LWC and React components Proficiency with CI/CD pipelines, GitHub, and Jenkins, enabling automated deployments and version control In-depth knowledge of authentication and authorization mechanisms including OAuth 2.0, JWT, and Named Credentials Excellent analytical, communication, and stakeholder management skills, with a focus on cross-functional collaboration and technical excellence Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position is between $48.00 and $68.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

We invite you to discover the excitement, diversity, rewards and excellence of a career at TRITECH Communications. With $100 million in annual revenues and 350+ employees, TRITECH is one of the nation's leading technology system integrators serving clients in corporate, education, healthcare and government industries. Our OneSource business model provides clients with a single source for the design, installation and maintenance of large / complex Audio Visual, Communications, PoE Lighting and Electronic Security Systems. Our corporate headquarters is located in Garden City, NY and the company operates four regional operations centers in New York City, Boston, Miami, Tampa and Washington DC. The AV Design Engineer will be responsible for executing and leading the full design process from ideation to production. You will draw new designs and update our current designs for new and current customers. Additionally, you will provide engineering support to our technical staff for design/build engagements. Responsibilities Lead the development of preliminary system design drawings, construction documents, equipment specifications and cost proposals. Work with our business units and end users to lead the technology design and discussion, analyze current client technology, listen to goals and challenges to help achieve desired outcomes. Create sales proposals in coordination with Estimating team for clients. Work with Program Manager and Project Team to verify system functionality through out implementation process. Develop and maintain knowledge of current and new technologies. Provide sales and technical staff with lessons learned on both a pre and post sales basis. Qualifications: Minimum 5 years working experience in the audio-visual or electronics field Preferred experience in the architectural or construction design space CTS and CTS-D certification preferred Proficiency in CAD and Microsoft Office Suite Ability to manage multiple tasks and priorities Ability to create architectural plans and modify architects' drawings to incorporate into systems. Excellent written and verbal communication skills with internal and external stakeholders TRITECH is an Equal Opportunity Employer

7+ years of experience in Business Intelligence, Data Modeling, or related data analytics roles. Expert-level proficiency with Power BI Semantic Layer and Azure Analysis Services (AAS) (Tabular models). Strong experience in data modeling, DAX, and MDX. Deep understanding of semantic layer design principles, data architecture, and data warehousing concepts. Proven ability to conduct complex data analysis and deliver actionable insights. Strong SQL skills and experience working with large, complex data sets. Excellent communication and collaboration skills with both technical and non-technical stakeholders.

Key Responsibilities: Design, build, and fine-tune Generative AI models (LLMs, diffusion models, transformers) for enterprise use cases. Implement end-to-end ML pipelines - data ingestion, preprocessing, model training, and deployment. Collaborate with data engineering and cloud teams to operationalize models on AWS or other cloud platforms. Experiment with prompt engineering, embeddings, and model customization for domain-specific applications. Develop APIs and microservices to serve AI/ML models in production environments. Optimize model performance, cost, and scalability through fine-tuning, quantization, or caching strategies. Stay current with emerging AI frameworks, GenAI tools, and open-source LLMs (e.g., OpenAI, Hugging Face, LangChain).

About BullishBullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. These include: Bullish Exchange - a regulated and institutionally focused digital assets spot and derivatives exchange, integrating a high-performance central limit order book matching engine with automated market making to provide deep and predictable liquidity. Bullish Exchange is regulated in Germany, Hong Kong, and Gibraltar. CoinDesk Indices - a collection of tradable proprietary and single-asset benchmarks and indices that track the performance of digital assets for global institutions in the digital assets and traditional finance industries. CoinDesk Data - a broad suite of digital assets market data and analytics, providing real-time insights into prices, trends, and market dynamics. CoinDesk Insights - a digital asset media and events provider and operator of Coindesk.com, a digital media platform that covers news and insights about digital assets, the underlying markets, policy, and blockchain technology. Reports to: Director, Engineering, CoinDeskThe Opportunity Are you passionate about building high-performance systems that power media and content distribution at scale? We're seeking a Lead Full Stack Engineer to drive the development of our next-generation media platforms and lead a team of engineers to deliver exceptional user experiences for our global audience. This role is all about designing and building fast, scalable, and reliable systems that deliver real-time content and data to millions of users. You'll be working on products that distribute, aggregate, and personalize content, ensuring our users have access to the latest insights and information whenever they need it. This includes building robust APIs, developing engaging front-end experiences, and optimizing infrastructure for performance and scalability. This is a unique opportunity to make a significant technical and strategic impact in the media space by leading hands-on development and architectural initiatives that will shape the future of media consumption for the global crypto community. What You'll Do: Architect and build highly scalable, fault-tolerant systems for content distribution at scale Mentor engineers and drive technical strategy, balancing performance, maintainability, and business needs Develop full stack applications with React, TypeScript, and Next.js that deliver content and interactive features Build production-grade APIs with focus on performance, reliability, and developer experience Collaborate cross-functionally with product, design, and data teams to translate requirements into technical solutions Optimize for performance including SEO strategies, page speed, and Core Web Vitals What You Have: 8+ years of software engineering experience with a track record of leading complex technical projects Deep expertise in JavaScript/TypeScript, React.js, Node.js, and RESTful API development Experience with Go or Python for backend development, or ability to quickly learn these languages Production API experience including REST API design, versioning, rate limiting, and authentication Cloud platform experience with AWS or GCP and containerization with Docker Database experience working with SQL and NoSQL databases, caching strategies, and data modeling Leadership experience mentoring engineers and contributing to technical decision-making Proficiency with AI-assisted development tools such as GitHub Copilot, Claude Code, or similar. Media & Scale Experience Experience building content management systems, media APIs, or digital asset management platforms Understanding of content distribution networks and performance optimization for media applications Knowledge of SEO best practices, server-side rendering (Next.js), and web performance optimization Familiarity with CI/CD pipelines, monitoring, and DevSecOps practices Bonus Points For: API gateway solutions, microservices architecture, and distributed systems patterns Content monetization systems, ad management platforms, or subscription/paywall implementations Sanity CMS or other headless CMS solutions React Native for mobile development Financial data APIs or cryptocurrency/blockchain systems Bullish US LLC & CoinDesk Inc. are committed to offering competitive compensation and benefits. The anticipated base salary for this position is $200,000 - $250,000 + discretionary annual target bonus + performance incentives/benefits. Offered salary will be reflective of job related knowledge, skills and commensurate experience. Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.

AI Evertune is building the first AI discovery platform for modern marketers. As large language models (LLMs) become the go-to source for recommendations - we help brands understand exactly what AI is saying about them, where they stand against competitors, and how to show up more often in AI-powered answers. Our platform turns black-box AI behavior into actionable insights, so marketing teams can make faster, smarter decisions that drive growth. Founded by leaders who helped scale The Trade Desk into the world's leading ad tech platform, we bring deep expertise in digital advertising, data, and high-growth environments. Now, we're pioneering a new category at the intersection of AI, SEO, and brand strategy. We recently announced our $15M Series A led by Felicis Ventures, with support from Eniac, NextView, Roger Ehrenberg, and leaders from OpenAI, Google, Meta, Uber, and more. This gives us the momentum to move faster and build the first enterprise-grade AI marketing suite. Backed by top-tier VC investors and trusted by forward-thinking brands,we have the resources to scale - but what really defines us is our culture. We move fast, think boldly, and believe the best ideas win regardless of title. If you're excited about shaping the future of how brands grow in the age of AI, you'll thrive here. Your Team You'll be joining Evertune's software engineering team - a tight-knit, high-velocity group, with most of us based in Seattle and New York. While we span time zones, we operate with tight alignment and shared urgency. Our engineers optimize for high velocity: we ship fast, sweat the details, and genuinely enjoy building together. As a foundational hire, you'll be helping to shape not just how we code - but how we grow, communicate, and scale. Your Role As the Lead Frontend Engineer at Evertune, you'll shape the future of how marketers interact with AI. This is a hands-on player/coach role - ideal for someone who thrives at the intersection of design, data, and engineering. You'll build polished, performant interfaces across our platform while leading and managing a small team of junior engineers. You'll contribute directly to core product development, collaborate closely with our design and product leads, and bring thoughtful structure to the front-end stack. While you'll operate primarily on the client side, you'll also work across our Python-based back end to deliver seamless, full-stack experiences. This is a high-impact role for an engineer who wants both technical ownership and team-building responsibility in a fast-paced, high-trust environment. We're looking for someone who thrives on building, leading, and taking full ownership - the kind of person who wants to grow a company, not just contribute to one. We believe the future of analytics is AI-powered, dynamic, and adaptive - not static dashboards. We're building interfaces that anticipate what matters and highlight it at the exact right moment. If you're passionate about pushing the boundaries of UI/UX in the age of AI, and about creating cohesion across analytics, content, and creation tools, we'd love to have you lead the way. Prior management experience is very strongly preferred - especially if you've led in a startup or hands-on environment. However, if you don't yet have formal management experience but have a strong desire to grow others, lead by example, and have mentored teammates or interns, we still encourage you to apply. Responsibilities Lead and help build a small team while continuing to contribute code daily Design, develop, and ship intuitive, high-performance user interfaces using Vue.js and Vuetify Architect and deliver AI-first data interfaces that go beyond static dashboards - building dynamic, adaptive views that surface the most important insights in real time Own the challenge of bringing cohesion across multiple product areas into a unified, intuitive frontend experience Collaborate closely with product, design, and other engineers to push the boundaries of how AI changes UI/UX, experimenting with new ways to make insights clear, actionable, and impactful Own and evolve front-end architecture, component systems, and code standards Partner with engineering team members to ensure clean API design and integration across the stack Create clarity and alignment across the distributed engineering team, and broader cross-functional teams Champion performance, accessibility, and responsive design across all products Manage and mentor junior engineers through thoughtful code reviews, pair programming, and coaching Help grow a team culture that values speed, craft, and candor - with high velocity as our north star Requirements Must currently be located in the NYC area (in-office 3x/week, no relocation) Proven ability to ship meaningful products at high velocity - you know how to balance speed with quality in a startup-like environment Deep expertise with modern JavaScript frameworks - ideally Vue.js/Vuetify, but strong React or Angular experience is also welcome Track record of building data-rich, intuitive interfaces (analytics, dashboards, or similar) and thinking creatively about how to make complex information clear and actionable Experience integrating with RESTful APIs and working alongside Python-based back-end systems (or similar) Comfort with cloud platforms (preferably GCP), CI/CD workflows, and performance monitoring Forward-thinking about how AI is changing UI/UX - whether that's experimenting with AI-powered interfaces, incorporating LLMs into workflows, or just being obsessed with the space Excellent communication and collaboration skills, especially in cross-functional settings with design, product, and business stakeholders Demonstrated ability to lead projects and influence technical direction; mentoring or management experience strongly preferred, especially in hands-on or startup environments Mindset of leverage: you use tools (including AI) to accelerate your own output and help others move faster Nice to Have Strong preference for prior management experience in a hands-on startup environment - but very open to folks who have at least mentored juniors, interns, or peers. Familiarity with MongoDB or other NoSQL databases Experience building data-rich UIs or analytics dashboards Excitement about how AI changes UI/UX - and experience designing dynamic, adaptive interfaces for data/analytics products Exposure to the AI/LLM ecosystem or interest in large-scale model behavior Contributions to open-source projects or developer communities Culture & Values At Evertune, we're building more than just groundbreaking AI products-we're building a culture where innovation, ownership, and empathy thrive. Here's what we value: Collaboration & Kindness: We're ambitious, but never at the expense of being respectful and inclusive. Bias for Action: We move fast, iterate quickly, and prefer learning through doing. Customer Obsession: Our product decisions are anchored in real-world customer needs and feedback. High Standards: We care deeply about quality-in our code, our design, and our communication. Ownership Mindset: Everyone is trusted to lead initiatives, make decisions, and own outcomes. Please note: At this time, we are only able to consider candidates who are authorized to work in the United States without the need for current or future visa sponsorship. This includes U.S. citizens and Green Card holders. Compensation & Benefits Our salary ranges are based on paying competitively for our size and industry. Salary is just one part of our total compensation package that includes equity, perks & benefits, and development opportunities at Evertune AI. Individual pay decisions are based on several factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Evertune AI employees. It is our expectation that the majority of candidates who are offered roles at Evertune AI will land well within our salary ranges based on these factors. The annual base salary range for this position is: $120,000 - $240,000 + stock options. This is an exempt position. Benefits include: Medical/Dental/Vision Coverage, Generous Paid Time Off, Commuter Benefits, + more. Evertune does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Evertune. Evertune is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Job DescriptionDescriptionIn this position, you will be responsible for production data analysis to develop and track the impact of strategic initiatives across our manufacturing facilities in America. You will play a pivotal role in collaborating with resources (including finance and process engineering) at the plants to implement enhanced solutions that improve our manufacturing and financial yields. Key Responsibilities Data Analysis: Analyze and provide detailed summaries and reports for industrial process monitoring, diagnostics and optimization. Utilize data-driven approaches to analyze performance metrics, identify trends, and present actionable insights for improvement. Manufacturing Analysis Systems: Establish, deploy and standardize enhanced data analysis systems across manufacturing facilities in America that will increase factory yields and cost. Cross-Functional Collaboration: Interface with production, quality, engineering, program developers, and finance teams regularly. Facilitate and collaborate with various departments within the factories to develop, track, and summarize initiatives that are driving improvement of critical yield KPIs. Continuous Improvement: Initiate and support continuous process improvement efforts along with the local engineering and finance teams. Structured Problem Solving: Establish, deploy and standardize structured problem solving methodologies and documentation across manufacturing facilities in America, including but not limited to Six Sigma and RCCA, etc. Skills, Knowledge and Expertise Bachelor's degree in Engineering or a related field. Relevant certifications and experience with data analytics is a plus. Proven hands-on experience (5-8 years) in a manufacturing environment, with a focus on process engineering, yield improvements, and data analysis. Excellent communication and leadership abilities to effectively collaborate with cross-functional teams and drive change and participate in root cause analysis. Proficiency in project management and change management principles. Capability for rapid analysis, decision making, and team guidance. Experience with Six Sigma quality and data analysis. Proficiency with Minitab or JMP or equivalent software. Familiarity with creating dashboards and reports for production data- including links between yield, defects, and key attribute data. Critical thinker and sound decision maker with strict attention to detail. Dedication to continuous improvement. Relocate to work in factory at Cazenovia, NY. All applicants must be eligible to work in the US without restriction to ITAR documentation and materials. Must be a US citizen, legal permanent resident, refugee, or asylee BenefitsWhat's in it for you on Day 1: Medical, dental and vision insurance plans Prescription Drug Plans Basic Life Insurance 401k plan with company match Tuition Reimbursement Program Security Clearance Incentive Program Employee Referral Program Overtime opportunities Alternate work schedules available PTO (10 days) and NYS Sick and Safe Leave Paid Holidays Exciting Onsite Perks: Free Starbucks coffee available at our café Free access to our Fitness Center Fresh food is available for purchase in the cafeteria store. Employee Appreciation Events Knowles is committed to providing a competitive and fair total compensation package for all employees. One element in our total compensation package is base pay. The starting salary for this role is targeted to be between $100,000 to $130,000 annually. Individual compensation decisions are based on a number of factors, including but not limited to previous experience and skills acquired prior to joining Knowles, cost of living in the assigned work location, assigned schedule, and salaries of similarly situated peers at the company. It is to be expected that candidates will come to us with different sets of skills and experiences and therefore will be paid at different points in the stated range. We recognize that the person(s) we select for hire may be less experienced or more experienced than the role as posted; if this is the case, any updates to available salary ranges will be communicated with candidates during the recruitment process. Equal Opportunity Statement: Knowles Precision Devices prohibits pay discrimination and discrimination of any kind based on race, color, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation, or other legally protected status. ITAR Statement: Please note that this position may require access to technical data controlled under the International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR). Applicants must be U.S. persons (citizens, lawful permanent residents, or individuals granted refugee or asylee status) or have the necessary authorization to access controlled technical data. Compliance with ITAR and EAR regulations is a condition of employment. Notice to Staffing Agencies, Search Firms and Recruitment Agencies: The recruitment process at Knowles is managed through the Human Resources department. Knowles does not accept resumes submitted from 3rd party agencies outside of our system. To submit resumes, 3rd party agencies will need to be a pre-approved vendor with a valid contract in place, be actively engaged by Knowles to recruit for a specific position and have agency log in credentials to submit candidates to our careers portal. Please do not submit resumes via e-mail, through our external website or directly to our employees. Any resumes submitted in this way become the property of Knowles and will not be eligible for any placement fee.

About Basis Basis equips accountants with a team of AI agents to take on real workflows. We have hit product-market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment. Built in New York City. Read more about Basis here. About the Team We're building product experiences where AI Accountants work as capable partners with humans, making complex accounting workflows simple, safe, and trustworthy. LLMs put general intelligence inside software, which changes everything about how products work. We're designing completely new ways for humans and AI to work together. Just as mobile changed how we think about UI, AI requires new architectures, abstractions, and ways of thinking. We work from first principles in small teams with quick feedback loops. We partner closely with Accounting SMEs, Design, PM, Research, and Platform. We think in systems, value clean abstractions and interfaces, and write code that's observable, maintainable, and easy for both humans and AI agents to work with. About the role As a Tech Lead on the Product Engineering team, you'll own the technical vision for a product surface or workflow: its architecture, quality, and evolution. You'll define how we build, teach others to build well, and ensure every product you touch is both robust and easy to understand. Your focus is on technical clarity and architectural excellence: turning vague product ideas into clean, scalable systems that integrate smoothly with our ML stack. You'll lead by example through your code, reviews, and clear technical thinking. You'll work with product managers, designers, and accountants to figure out what matters most, then lead the technical work to make it happen. What You'll Be Doing: Own and evolve the product's technical architecture Define and own the architecture for your product area: APIs, clients, data flows, and observability. Make sure our systems are understandable: clean boundaries, explicit states, and predictable behavior. Run design and PR reviews that raise the bar for structure, performance, and maintainability. Make technical trade-offs clear and document your reasoning so decisions build on each other. Ship products that integrate intelligence with precision Build interfaces and workflows that seamlessly blend human input and AI reasoning. Design APIs and services that connect product features with ML systems (retrieval, evaluations, context). Ensure systems are properly instrumented with telemetry, evaluations, and logging so success is measurable and problems are visible. Keep abstractions clean and AI-friendly: clear contracts, predictable state, no hidden behavior. Lead through clarity and technical excellence Mentor engineers on design, code quality, and system thinking through specs, pairing, and reviews. Model clear technical writing. Every doc, PR, and review should help the team think better. Establish conventions that keep the codebase consistent and maintainable as we scale. Work with cross-functional teams to turn business needs into simple, testable technical plans. 📍 Location: NYC, Flatiron office. In-person team. What you'll bring: 5+ years of full-stack or product engineering experience. We're open to exceptional candidates with different backgrounds. Strong foundations in API design, front-end systems, and reliable backend services. Practical experience integrating LLMs or ML capabilities into product workflows. Deep understanding of product architecture, data flows, and system design trade-offs. Proven ability to turn vague product goals into clean, iterative engineering plans. Excellent written and verbal communication. Your specs and PRs should be clear examples for others. What we'd love to see: Experience with TypeScript/React, Python, and Postgres. Familiarity with evaluation frameworks, telemetry, and instrumentation. Background in accounting, finance, or other workflow-heavy domains. Experience in fast-moving environments (startups or similar). A preference for simplicity, clarity, and understandable architectures. What Success Looks Like The systems you design are stable, extensible, and easy for others to understand. Engineers working with you learn to think more clearly and design better code. Product, ML, and platform systems align cleanly through your abstractions. You unblock others, raise quality standards, and speed up execution without creating bottlenecks. You work with clarity, conviction, and care, balancing quick iteration with solid craftsmanship.

Job DescriptionWe hire founders “This is the most exciting time in history to build.” Sam Altman Should I start a company? Should I keep going with my startup? What problem should I solve? “Starting by thinking up a problem is risky because you may invent a problem that doesn't truly exist. If you can't answer [‘who wants this right now?'], then the idea is probably bad.” Paul Graham We believe the best thing you can do right now is join a breakout AI team, face real problems, work with potential co-founders, and make a lot of money. What are we building? We're solving the biggest problem in modern work: email. And we're doing it at the best possible time in history to solve it. Too many companies start out focused on what users love, then add bells and whistles no one needs, hide features behind paywalls, and lose sight of what made them great in the first place. We think the best user experiences come from focus. For us, that means AI-generated email drafts. We're laser-focused on making them better over time, using context from your meetings, inbox, and messages, because that's what matters most to our users. Unlike other startups, we're a pure-play applied AI company, not a SaaS tool with AI bolted on. We use the best techniques, including fine-tuned open-source models, tool use, and retrieval-augmented generation. As a result, users send 53% of the drafts we generate. Your Background: 5+ years of experience building and shipping production software, with deep expertise in Python or TypeScript and a track record of owning systems end-to-end. Hands-on experience with modern AI/ML tooling (LLMs, fine-tuning, RAG, embeddings, distributed training, inference optimisation, etc.) and proven ability to work directly with models in production. Strong product intuition and user-centric mindset, able to translate ambiguous problems into simple, high-impact product decisions without product managers. Startup-ready mindset: comfortable operating with extreme ownership, rapid iteration, and high autonomy within a small, elite technical team. How's it going? This year, we've grown from $1M to $25M ARR, with a technical team of just 12 (up from 2). We're forecasting $100M ARR by the end of 2025. We have product-market fit, and we take none of it for granted. We're relentlessly focused. There will be a $10B+ company in this space. It will be us if we stay focused. Ranked 7th in Andreessen Horowitz's list of top AI apps, based on real startup spend data. The other nine in the top 10 are valued at $10B+. Autonomy. Agency. Ownership. Team members own both product strategy (we have no product managers and no plans to add them) and the execution of that strategy. They decide when to bring in qualitative insights (interviews, surveys, etc.) or quantitative data, supported by our data engineering team. Our technical staff focus on: Building an incredible product Helping users find value and share Training cutting-edge models Developing scalable infrastructure We're deliberate about hiring. A small team of exceptional people, working hard on a problem they care about, will always beat a larger, less focused team.That intensity means this isn't a normal role, but it also means you'll move faster than anywhere else. Examples: Serafin joined 6 months ago and built our entire product notetaker, competing with whole companies, including research, model training, and product development. Joey joined 7 months ago and built our human data platform for model training and evals. Josh joined 14 months ago and now leads infrastructure, having built core products like scheduling along the way. What we promise Most fast-growing startups fall into traps: overhiring, losing focus, acting like big companies. We believe small, exceptional, high-performing teams are the future. No bureaucracy No processes that slow decisions No constant distractions, we have company-wide focus time with no meetings until 3pm A humble but extremely ambitious environment. A group of people giving unreasonable effort to the right things. What we pay We offer the highest cash and equity in London, up to £500k package! Compensation Range: £140K - £250K

About Us: How many companies can say they've been in business for over 177 years?! Here at ZEISS, we certainly can! As the pioneers of science, ZEISS handles the everchanging environments in a fast-paced world, meeting it with cutting edge of technologies and continuous advancements. ZEISS believes that innovation and technology are the key to a sustainable future and solutions for global change. We have a diverse range of portfolios throughout the ZEISS family in segments like, Industrial Quality & Research, Medical Technology, Consumer Markets and Semiconductor Manufacturing Technology. We are a global company with over 42,000 employees and have over 4,000 in the US and Canada alone! Make a difference, come join the team! What's the role? Field Applications Engineers assist our customers and our Zeiss sales team with pre-sales activities such as product demonstration and sales support, as well as post-sales activities such as helping customers with understanding and applying our hardware and software systems. This support is provided in a variety of ways, including product demonstration, formal and custom training classes, telephone and on-site support, programming and measurement services. This important consultative role requires professional conduct and customer orientation at all times. Location/Region: This position is located in Bloomfield, CT. Hybrid position with ability and willingness to travel in the USA and internationally (35-50%). Sound Interesting? Here's what you'll do: * Provide technical consultation to sales teams and the Industrial Metrology (IM) dealer network on advanced applications and systems * Ensure accurate technical information flows to the field sales force * Focus on advanced applications and the introduction of new ZEISS technologies into the North American market * Deliver technical training programs to sales personnel and dealer partners * Plan and perform high-quality customer demonstrations, both in-house and on-site * Provide after-sales technical support to help customers successfully use ZEISS systems * Conduct customer training to supplement the Applications Engineering team * Support all Carl Zeiss Industrial Metrology systems and respond to software/applications questions * Assist with software and system testing for product development, including filing performance reports * Offer applications expertise for project-related activities, including preparing quotes, analyzing inspection requirements, and estimating Gage R&R results * Implement quoted application items on-site * Support IT-related topics, including Windows OS, networking, and database management * Apply knowledge of Statistical Process Control (SPC) and Geometric Dimensioning & Tolerancing (GD&T) Do you qualify? * Bachelor's degree in Engineering, Computer Science, or Physics (or equivalent experience) * Ability to read and interpret engineering drawings * Strong understanding of 3D mathematics and computer programming in modern scientific languages * Excellent verbal communication skills; comfortable presenting to small or large groups * Self-motivated and able to work independently Working Environment: * Ability to write clear, concise technical reports * Capable of teaching and training during product demos or customer sessions, clearly showing how ZEISS solutions solve customer problems * Strong problem-solving skills; able to work from problem statement to solution independently * Quick learner who can independently research and find solutions to customer measurement challenges We have amazing benefits to support you as an employee at ZEISS! * Medical * Vision * Dental * 401k Matching * Employee Assistance Programs * Vacation and sick pay * The list goes on! Your ZEISS Recruiting Team: Holly Greenwood-Mosher, Maria Khalil Zeiss provides Equal Employment Opportunity without unlawful regard to an Applicants race, color, religion, creed, sex, gender, marital status, age, national origin or ancestry, physical or mental disability, medical condition, military or veteran status, citizen status, sexual orientation, pregnancy (includes childbirth, breastfeeding or related medical condition), genetic predisposition, carrier status, gender expression or identity, including transgender identity, or any other class or characteristic protected by federal, state, or local law of the employee (or the people with whom the employee associates, including relatives and friends).

Do you want to make a difference in the world? Do you want to help save lives? Come start or continue your career with us! MICRO is a contract manufacturer providing services for companies engaged in life-saving products and solutions. MICRO offers an excellent benefits package, compensation higher than industry average and a full complement of training programs dedicated to give our employees the skills and knowledge required to achieve their career goals. Salary commensurate with experience and skills. So don't settle for a job when you can have a career that makes a difference! MICRO offers intern opportunities in a variety of areas including; The Quality Engineering co-op is responsible for providing support to the quality engineering group with regard to investigating nonconforming product or processes, improving communication of quality expectations for products or processes and executing continual improvement project tasks. The New Product Development Engineering co-op is responsible to assist Project Engineers in the development and validation of new products and processes at Micro. The Process Development Engineering co-op is responsible for providing engineering support to the New Process Development team to implement projects for new and existing manufacturing processes to drive efficiency and cost reductions. The Design Engineering co-op assists in the development and design of tools, fixtures and other devices used for production based on engineering specifications. The Process Engineering co-op is responsible to ensure the manufacturing processes are efficient, cost effective, meet Micro's quality standards and yield products per customer specifications. EDUCATION AND EXPERIENCE College student with 1-3 years of college education in an Engineering discipline Strong verbal and written communication skills as well as strong interpersonal skills are required Must have strong organizational skills, ability to meet deadlines, thrive in a fast-paced environment and be able to problem solve effectively.

This is an excellent opportunity to join a world class technology organization. As a Product Security Lead (PSL) in the Cybersecurity & Technology Controls (CTC) team for the Consumer and Community Bank (CCB). You will work proactively with your technology and business colleagues to identify and quantify security issues within their business and empower them to take decisive risk decisions at speed and scale. You're an expert security with a strong mix of technical and communication skills and are passionate about enabling safe and secure innovation. You will work with some of the best and brightest cybersecurity and technology engineers to solve complex problems which will both challenge you and help you develop your skills in one of the most innovative and respected companies in the world. Core Product Security Responsibilities: Cultivate security culture with your product technology and business colleagues. Products that have the right security culture will strive to prioritize sustainable controls and driving real risk reduction outcomes. Embed threat modelling, solutions architecture, secure code review into product and application teams so they adopt our control products and create products that are secure from the start. Know your product across its breadth and depth. Be fluent in your product's strategy and roadmap as well as its key investment programs. Identify unfamiliar technology components, capabilities, and business concepts and be self-motivated to learn all about them, applying critical thinking to identify hidden issues along the way. Be your product's security thought leader. Learn from your product and cybersecurity teams and share best practice in both directions. Be recognized in your product as the clear point of escalation and subject matter expert for IT Risk and Cyber domains. Act with urgency managing emerging issues. Proactively monitor Key Risk Indicators to ensure issues are identified, quantified, communicated, and managed in a timely manner, including recommendations for resolution and identifying the root cause/key themes. Partner and lead end-to-end across your product's supply chain. Work collaboratively with product, technology, and business colleagues on an on-going basis for business-as-usual audit and regulatory engagements, risk activities and project initiatives. Work closely with Third Party Oversight teams to ensure effective technology risk management of vendors engaged by technology partners, with a focus on Cloud computing / emerging technologies. Expected Outcomes: Build a vision around the next level of security maturity for the Connected Commerce business with inputs from the security organization and work with Product and Engineering Leaders to deliver on that idea. This vision must enable business outcomes and continuously raise the security bar and not one or the other. Serve as a cyber risk advisor to the Connected Commerce leadership team and help prioritize initiatives with the greatest ROI using rich datasets. Partner with Engineering teams to solve complex problems specific to fields such as Payments and banking APIs Enable and partner with application architects and engineering leaders to design secure, scalable and resilient applications Hiring, shaping and developing a team of cyber risk advisors that are tightly integrated into the business Required Experience: Experience in a successful security and risk organization with strong security and technical skills Software Development Secure Application Development Security Solution Architecture Technical Service Delivery - E2E Shipping code & features Demonstrated experience with product technologies (i.e., Infrastructure, Application) Hands-on practical experience in cybersecurity architecture that can be applied and reused across businesses, functions, and systems Fluent in modern architectures - (data, cloud, mobile, APIs, micro-services) Experienced with full stack technologies Fluent in one or more programming languages Deep knowledge of one or more software or applications Strong knowledge of public cloud technology - AWS Cyber subject matter expert able to earn the respect of technology leaders Strong strategic vision mixed with delivery excellence. Focus in terms of risks and outcomes. Strong communication and presence. Ability to work with xfn technology partners - engineering, architecture & product management. Able to communicate effectively and authoritatively with technical and non-technical stakeholders. Strong leader, culture carrier and team player experienced in matrix organizations.