Candidate Tech Hub

Job title: Senior Machine Learning Engineer Job type: Permanent Salary: $230K - $300,000 + Equity  Role Location: San Francisco, United States The Company: We’re partnering with a well-funded, fast-scaling healthtech startup reinventing musculoskeletal care using proprietary AI and 3D-printing technology. The business has developed a web-based, sensor-free AI vision platform that transforms a 30-second scan into a clinically approved, precision-manufactured medical device. Already trusted by Fortune 50 employers, major health systems, and national manufacturers, the platform is expanding access to preventative care for hundreds of thousands of Americans. Fresh off a stealth funding round led by top-tier VCs, the company is: Growing 10x year-over-year Profitable month over month Scaling rapidly toward $100M ARR Operating with a high-ownership, execution-first culture out of Boston This is a rare opportunity to join at a true inflection point - early enough to shape the company, late enough to have real traction. Role and Responsibilities:  We’re hiring a Senior Machine Learning Engineer to help build the core AI systems behind a next-generation healthcare platform that turns smartphone video into clinically accurate 3D models of human anatomy. You will own the pipeline that bridges raw computer vision data and physical 3D-printed medical solutions, transforming noisy real-world scans into precise, CAD-compatible models used to improve patient outcomes. This role sits at the intersection of machine learning, computer graphics, biomechanics, and real-world manufacturing. You’ll work closely with engineers, researchers, and product leaders to design systems that translate cutting-edge ML research into reliable production technology used in healthcare. Job Requirements: Strong experience building production AI systems around LLMs, OCR, and unstructured data workflows. Proven track record shipping applied AI products, not just prototyping models offline. Deep familiarity with modern LLM workflows including prompting, structured outputs, tool use, retries, fallbacks, guardrails, and model evaluation. Experience with document intelligence systems such as OCR pipelines, document extraction, classification, post-processing, and confidence-based review flows. Experience with voice or conversational AI, or adjacent systems involving transcripts, call automation, and conversational extraction. Strong proficiency in Python and comfort working in production codebases with APIs, queues, and backend services. Experience deploying and operating AI systems in AWS or similar cloud environments, including serverless or event-driven architectures. Strong instincts around evaluation, benchmarking, monitoring, and quality assurance for real-world AI systems. Ability to work across structured and unstructured data and design systems that are robust to noisy, incomplete, and ambiguous inputs. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time. Check out our DE&I page here

Job title: Full-Stack Software Engineer — LLM Tooling & Data Applications Job type: Contract Contract Length: Through end of 2026 Rate: $70 – $90 per hour (W2) Role Location: 100% Remote (United States) I am not looking to work with any third-party agencies or vendors on this role. Seriously guys, please don't call me. Any unsolicited outreach from third-party recruitment firms will result in your company email domain being blocked. The company: One of our long-standing US-based technology clients is growing the engineering team behind their internal planning and reporting platform. The team builds the software their organization uses to track engineering delivery, plan headcount, and keep leadership informed on what's being built and when. Role and Responsibilities: You'll be joining a small full-stack team building internal applications that blend traditional data-driven web tooling with newer AI-assisted features — chat interfaces over internal data, retrieval-augmented generation, graph-backed search, and dashboards that pull from a mix of enterprise systems. The exact day-to-day will depend on your strengths, but you'll be working across the backend, data, and LLM tooling layers of a modern internal platform. Build and ship features across a TypeScript and Node backend with data and AI-assisted components Work on LLM-powered features including prompt engineering, retrieval-augmented generation, and integration with internal data sources Contribute to graph-database-backed retrieval and semantic search work Integrate with enterprise SaaS platforms and internal data systems via their APIs Partner with frontend engineers on data visualization and dashboard work Participate in code review, deployment automation, and standard quality engineering practices Work directly with internal users to scope, prototype, and refine what gets built Job Requirements: 3+ years building production web or data applications with Node.js and TypeScript Practical experience with LLM prompt engineering and production retrieval-augmented generation (RAG) pipelines Working knowledge of a graph database such as Neo4j or Memgraph, or equivalent experience with semantic search layers over a data warehouse Comfort with modern LLM tooling patterns including tool use, agent architectures, and integration with enterprise data sources Familiarity with enterprise engineering tooling — ticketing, source control, observability, and deployment pipelines Comfortable operating in an agile team with CI/CD Bachelor's degree in Computer Science, Information Systems, or a related field Nice to Have: Experience with Snowflake Cortex, semantic views, or warehouse-native LLM tooling Experience building or extending Model Context Protocol (MCP) servers Experience with React and data visualization libraries Certifications across cloud, data, or CI/CD platforms Interview Process: Two-stage interview process conducted directly with the client's engineering team. Please note we are unable to offer employer sponsorship for this role. Accessibility Statement: We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify's mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here.

Job title: VP of AI // Vice President of Artificial Intelligence Job type: Permanent Salary: $250,000 + bonus Role Location: US, Remote Visa requirements: Full US Work Authorization (no sponsorship required) The company: Our client, stands at the forefront of revolutionizing the foodservice industry through technology, purchasing power, and partnerships. The company is dedicated to empowering stakeholders across the entire foodservice ecosystem — operators, distributors, and manufacturers — with greater efficiency and unprecedented visibility. With a diverse portfolio of over a dozen brands and a highly acquisitive growth strategy, our client is one of the largest players in foodservice, supporting over 200K operator locations across North America and over $50 billion in aggregated spend volume. Its mission is to reduce costs, streamline the foodservice supply chain, and propel the industry from manual processes to automated, data-driven operations across Digital Procurement Network, Fresh Solutions, Supply Chain Management, and Software. Role and responsibilities: As the VP of AI Strategy and Implementation at our client, the successful candidate will lead the AI transformation and shape the future of the business through innovative AI solutions. This role involves developing and executing a forward-thinking AI strategy that aligns with global objectives, driving operational excellence, enhancing data capabilities, and delivering actionable insights. Key responsibilities include: AI Strategy & Vision Owning the end-to-end delivery of AI initiatives, from strategic vision to measurable business outcomes. Crafting and championing a comprehensive AI strategy aligned with the company’s long-term business goals. Identifying high-impact AI opportunities across departments to optimize processes and improve decision-making. Anticipating emerging AI trends and technologies to position the company for future advancements. Partnering with senior leadership and data teams to ensure AI initiatives support organizational priorities. Collaborating closely with the product team to understand user behaviors and needs. Defining and tracking KPIs to measure the success and business impact of AI projects. AI Implementation & Operations Leading the deployment of AI solutions, such as predictive analytics for supply chain optimization, natural language processing (NLP) for customer insights, and robotic process automation (RPA) for operational efficiency. Ensuring AI models are scalable, reliable, and secure, while collaborating with data science, engineering, and IT teams for seamless integration. Establishing best practices for AI development, testing, and monitoring to maintain top-tier performance standards. Governance, Ethics & Compliance Developing and enforcing an AI governance framework that prioritizes transparency, fairness, and accountability. Implementing risk management protocols to mitigate bias and ensure compliance with data protection regulations (e.g., GDPR, CCPA). Promoting ethical AI practices that align with company values and industry standards. Cross-Functional Leadership & Change Management Assembling and inspiring a diverse, high-performing AI team of approximately 30 people (spanning product, QA, design, and data science), fostering a culture of collaboration and continuous learning. Driving AI adoption through training programs to enhance AI literacy across the organization. Serving as a strategic advisor to executive leadership, translating complex AI concepts into actionable business strategies. Leading change management efforts to ensure smooth integration of AI technologies and secure stakeholder buy-in. Innovation & Research Cultivating an environment of experimentation and exploration of cutting-edge AI techniques. Forging partnerships with external research institutions, technology vendors, and industry leaders. Assessing build-vs.-buy options for AI tools to adopt the most effective solutions. The role operates in a fast-paced, complex environment with significant acquisition activity and a strong emphasis on decisiveness, speed, and delivering tangible impact in a “messy” industry that is undergoing digital transformation. Job requirements: Technical Expertise Expert-level proficiency in Python and SQL. Advanced knowledge of database architecture and schema design. Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, Google Cloud). Proven expertise with large language models (LLMs), including prompting and fine-tuning, and predictive AI for time series challenges. Leadership & Strategic Skills Exceptional ability to align AI strategies with business objectives and drive organizational change. Strong project management experience, including Agile methodologies. Outstanding communication skills, with the ability to convey complex AI concepts to non-technical audiences. Ethics & Governance Deep understanding of AI ethics, bias mitigation, and explainability techniques. Experience developing governance frameworks for responsible AI use. Experience & Background Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Business, or a related field (PhD preferred). 8+ years of experience in AI, data science, or digital transformation, including 5+ years in a senior leadership role. Proven success implementing AI strategies in fast-paced, innovative environments (startup or high-growth tech experience strongly preferred). Extensive knowledge of machine learning, NLP, generative AI, and automation technologies. Expertise in AI governance, risk management, and regulatory compliance. Strong business acumen with a track record of communicating AI value to non-technical stakeholders. Experience with AI agents, digital direct reports / autonomous systems, or tools such as OpenClaw is highly advantageous. Palantir experience is a plus. Our client values decisiveness, the ability to thrive in ambiguity, and a track record of operating at pace in startup-like environments. Candidates from any industry are welcome; the ability to quickly learn domain-specific nuances is more important than prior foodservice experience. Benefits: Great benefits from day one, including medical, dental, vision, FSA, company-paid life insurance, and more — plus a 401(k) with company match. Strong focus on training, development, and competitive pay. Flexible PTO policy with no accrual required, supporting work-life balance. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.     We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process.     Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time.   Check out our DE&I page here    

Senior QA Automation Engineer New York, NY | Full-Time | Hybrid   About the Role We're working with a well-funded, early-stage technology team building an AI-native platform in a complex, data-heavy industry. Their engineering org is small, senior, and moving fast - and they're looking for a QA lead who understands that quality assurance is changing just as rapidly as the development practices it supports.   They are looking for someone who can own and evolve their QA automation practice and think about quality engineering in the context of how software is actually being built today - where AI-assisted development is accelerating both feature delivery and the surface area for bugs and vulnerabilities.   In Your First Six Months, You Will Own and reimagine the QA automation framework - not just run it, but actively evolve it for an agentic development environment Build and refine testing pipelines that work alongside AI-assisted workflows, where both feature teams and quality teams are moving faster than traditional human code review can scale Take ownership of application security testing as a core part of the QA function - running vulnerability scans, contributing to penetration testing workflows, and using AI tooling to stay ahead of security risk in an accelerating codebase Partner closely with backend and data engineering leads to define and uphold release quality standards Identify gaps in the current process and help build toward a model where both functional QA and security validation scale with the team, not against it   Why This Role Development is changing, and quality engineering has to change with it. This team is building something genuinely ambitious in a complex, data-heavy space - and they need a QA lead who sees that as an opportunity, not a challenge to manage around. If you want ownership, direct access to engineering leadership, and the chance to define what modern QA looks like in an agentic development environment, this is worth a conversation.   A Little About You 7+ years in QA engineering with strong hands-on automation experience (Selenium, Playwright, Cypress, or equivalent) You've spent real time over the past year experimenting with AI tools and thinking about how they change testing and quality workflows - not just using them, but building a point of view on them Solid working knowledge of application security - DAST/SAST tooling, vulnerability scanning, basic penetration testing concepts - you're not a dedicated security engineer, but you know enough to own this function, ask the right questions, and get the most out of the tools available to you You think about QA and security as two sides of the same problem: teams shipping faster means more surface area to protect, and you're energized by that challenge rather than overwhelmed by it You've owned QA process end-to-end in a fast-moving environment and delivered it by setting standards, not just following them Strong communicator with high standards for quality and the flexibility to propose and adapt new tools as they go from novel to essential   Extra Points Experience in fintech, insurtech, or other regulated-adjacent industries Exposure to agentic development pipelines or LLM-integrated applications Security certifications (CEH, OSCP, or similar) - nice to have, not required Early-stage or lean startup experience   Compensation & Benefits In addition, the client offers equity, health insurance, 401K, paid holidays, and flexible PTO. This is a hybrid role based in New York City.

Job title: AI / Machine Learning Engineer Job type: Permanent Salary: $170,000 - $190,000 + bonus Role Location: Greater Los Angeles Area, California, United States Visa requirements: Full US Work Authorization required (no sponsorship provided) The company: Our client is the world’s leader in producing, sourcing, distributing, and marketing fresh avocados. As a vertically integrated and public company, their total focus is on avocados. They provide customers in over 25 countries with year-round supply, global availability, and value-added services. Their partners are passionate and experienced growers from the most ideal avocado growing regions in the world. The company operates packing facilities in five countries, owns 11 regional ripening centers worldwide, and maintains robust distribution and transportation capabilities to deliver peak eating-quality avocados from the tree to the customer. They adhere to the highest food safety standards through Good Agricultural Practices & Good Harvesting Practices. Role and responsibilities: The AI / Machine Learning Engineer designs, builds, and operates intelligent solutions using Azure AI services, Azure AI Foundry, Copilot Studio, and OpenAI on Azure. This role delivers production-grade AI systems, including LLM applications, AI agents, forecasting and time-series models, and lakehouse data products that automate decisions and transform business workflows. The successful candidate will partner closely with operations, finance, sales, sourcing, and IT teams to translate business problems into AI solutions that improve operational decision-making and deliver AI-driven insights and automation from large operational datasets. Essential duties and responsibilities include: Solution Engineering: Design and implement AI/ML solutions with Azure Machine Learning, Azure AI Foundry (AI Studio), OpenAI on Azure, and Copilot Studio—delivering resilient, observable, and cost-optimized applications. LLM Applications: Build, fine-tune, and evaluate LLM-based applications for internal and customer-facing use cases (retrieval-augmented generation, function calling, tool use, guardrails, multi-turn workflows). Data & Modeling: Develop and maintain Python pipelines (ETL/ELT) and ML models; implement robust feature engineering and model monitoring across the ML lifecycle. Forecasting: Deliver demand prediction, sales forecasting, and operational planning models using classical and machine learning time-series techniques; establish backtesting, drift detection, and continuous retraining. Platform Integration: Integrate AI into Power Platform solutions and line-of-business apps using Copilot Studio, Azure Cognitive Services, and enterprise connectors. Autonomous Agents: Build task-oriented AI agents and automation workflows with human-in-the-loop controls, safety constraints, and auditability. Context & Interoperability: Design context management patterns for AI systems and integrate enterprise data sources such as Fabric OneLake, Synapse, Databricks, SharePoint and Graph. Lakehouse Architecture: Design scalable data products on Fabric/Databricks/Synapse, including medallion layers, Delta/Parquet formats, vector storage, and streaming ingest for real-time signals. MLOps & DevOps: Build CI/CD for models and prompts (Git/GitHub/Azure DevOps), environment provisioning (Terraform/Bicep), automated tests, A/B and canary deployments, and rollbacks. Observability & Governance: Implement telemetry (App Insights, Prometheus), responsible AI evaluations (fairness, safety, toxicity), RBAC/data classification, and evidence trails aligned to IT governance roles. Documentation & Enablement: Create runbooks, model cards, data contracts, and playbooks; mentor developers and citizen makers on safe and effective AI use. Job requirements: 5+ years in software/data engineering or machine learning 2+ years building AI/ML or LLM-based systems in production environments Hands-on experience with Azure AI services, Azure AI Foundry, Azure Machine Learning, OpenAI on Azure, and Copilot Studio Working knowledge of Lakehouse architecture and tools such as Microsoft Fabric, Databricks, and/or Azure Synapse Proficiency with Git, Azure DevOps (or GitHub), Agile methods (e.g., Jira), and CI/CD pipelines for analytical solutions Proven experience building autonomous agents or AI-driven workflows with safety and observability Expertise in prompt engineering, fine-tuning, RAG, and evaluation frameworks Comprehensive understanding of the ML lifecycle from experimentation through deployment, monitoring, and continuous improvement Desired Skills: Strong Python development skills and experience with machine learning and LLM frameworks such as PyTorch, TensorFlow, or Hugging Face Experience building LLM-powered applications, including prompt engineering, RAG pipelines, and evaluation frameworks Familiarity with vector embeddings and semantic search using technologies such as Azure OpenAI or Azure AI Search Strong understanding of forecasting and time-series modeling techniques Experience building data products and pipelines using Fabric, Databricks, Synapse, or similar lakehouse architectures Experience integrating AI systems with enterprise data sources and APIs Experience implementing MLOps practices on Azure, including model registry, CI/CD pipelines, automated retraining, and monitoring Familiarity with Azure DevOps or GitHub Actions for AI/ML lifecycle automation Knowledge of data privacy, security, and responsible AI principles Benefits: Comprehensive Medical, Dental and Vision Plans Health Savings Account (HSA) Flexible Spending Accounts (FSA) Wellness Incentive Employee Assistance Program (EAP) Paid Time Off & Holidays 401(k) Retirement Plan Matching Group Term Life and AD&D Insurance Short-Term and Long-Term Disability Insurance Data-Driven Strategy to Provide Competitive and Equitable Compensation Packages Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.     We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process.     Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time.   Check out our DE&I page here    

Job title: Blockchain Architect Job type: Contract (12 Month) Salary: Up to $90 per hour Role Location: San Francisco Bay Area, CA – Hybrid The company: A large enterprise financial organisation operating within a highly regulated environment, investing in blockchain, digital assets, and distributed ledger technologies to support next-generation payments, settlement, and financial market infrastructure. Role and responsibilities: We are looking to recruit a Blockchain Architect who will sit within a senior Architecture group and act as a key technical leader responsible for defining and evolving enterprise and platform architecture across complex, multi-system environments. This role requires strong architectural expertise combined with an understanding of blockchain and Web3-inspired technologies, applied in a regulated, enterprise-grade financial services environment. What You’ll Be Doing: Providing architectural leadership for blockchain-enabled initiatives including tokenised deposits, digital assets, and distributed settlement systems Designing hybrid architectures integrating distributed ledger platforms with core banking systems, payment platforms, data stores, and event-driven microservices Defining on-chain vs off-chain architecture responsibilities, including smart contracts, orchestration services, APIs, and operational controls Evaluating permissioned distributed ledger technologies, identity models, privacy architectures, and governance frameworks for regulated environments Job requirements: 10+ years’ experience in architecture, distributed systems, or software engineering Strong experience designing scalable, secure, and resilient enterprise systems Experience working in regulated financial services environments Strong understanding of blockchain, DLT, and Web3 architectural patterns Knowledge of smart contracts, consensus models, cryptography, and distributed systems design Experience across payments, settlements, liquidity, or financial market infrastructure If interested, apply to be considered! Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here.

Job title: Principal Enterprise Architect – Blockchain & Digital Assets Job type: Contract / Permanent (as applicable) Salary: $180,000 / $75 per hour Role Location: Atlanta, GA – Hybrid (3 days a week onsite) The company: A large enterprise organisation investing heavily in blockchain, digital assets, and next-generation distributed ledger technologies as part of its long-term platform and architecture strategy. Role and responsibilities: We are looking to recruit a Principal Enterprise Architect with deep experience in enterprise architecture and distributed systems, who can define and drive the technical vision for blockchain and digital asset platforms across a complex organisation. This is a senior architecture role focused on designing scalable, secure, and regulated blockchain solutions across multiple business domains and technology teams. What You’ll Be Doing: Defining and leading enterprise blockchain and DLT architecture strategy Working across multiple blockchain protocols and digital asset ecosystems Designing scalable, reusable architecture patterns and reference models Ensuring solutions meet enterprise requirements for security, performance, resilience, and compliance Providing technical governance and architectural leadership across initiatives Acting as a subject matter expert in blockchain capabilities and enterprise adoption Job requirements: Strong background in Enterprise Architecture (core requirement) Experience as a DLT / Blockchain Architect working across multiple protocols and assets 7+ years’ experience in architecture, distributed systems, or software engineering Strong understanding of smart contracts, consensus mechanisms, cryptography, and node infrastructure Experience working in regulated environments (e.g. financial services) If interested, apply to be considered! Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here.

Job title: Engineering Manager Location: London (Hybrid) My client is looking for an Engineering Manager to join a high growth fintech startup at a really exciting stage. This is a hands off role however for someone who enjoys being close to the product, working with a small team, and helping shape both the technical direction and how the team operates as we scale. You’ll be working closely with product and leadership, owning delivery end-to-end, and playing a key role in how we use technology including AI to move faster and build better. This isn’t a role for someone who wants to sit at a distance  we need someone pragmatic, sleeves rolled up, and comfortable wearing a few different hats when needed. What you’ll be doing Leading a small team of engineers, creating a high-performing, low-ego environment Working closely with Product to translate ideas into well-scoped, deliverable solutions Staying close to the code where needed   Owning end-to-end delivery across both frontend and backend Helping define and improve engineering standards   Driving smarter ways of working, including use of AI and automation to improve speed and quality Taking ownership beyond just engineering infrastructure, tooling, and general problem solving as things come up Being comfortable operating in ambiguity and making pragmatic decisions quickly What we’re looking for Proven experience as an Engineering Manager in a fintech or regulated environment Background working in a startup or scale-up, ideally with small teams and fast pace Strong hands-on technical background across: Frontend - React / TypeScript Backend-Node.js, Kotlin AWS / cloud infrastructure Comfortable being a player-coach  able to lead but also get into the detail when needed Experience working closely with product and being genuinely product-minded Strong interest in AI, automation, and how to apply it practically within engineering teams Experience setting up or improving engineering processes, standards and delivery practices Confident working with a small team and wearing multiple hats where required Pragmatic, low ego, and able to make decisions without overcomplicating things Strong communicator – able to explain technical decisions clearly to non-technical stakeholders  

Job title: Vice President (VP) of Manufacturing Job type: Permanent Salary: $225,000 + bonus Role Location: Greater Los Angeles Area, California Visa requirements: No sponsorship provided (US Work Authorization only) The company: Our client is a trailblazer in designing cutting-edge products that harmonize luxury, smart technology, and sustainability. They specialize in creating innovative living solutions and other series of mobile living spaces that seamlessly integrate eco-friendly features and modern technology. Role and responsibilities: They are seeking a skilled and visionary VP of Manufacturing to lead their manufacturing operations in the recreational vehicle (RV) industry. The ideal candidate will have extensive experience in manufacturing management within the automotive or RV sectors, with a focus on driving efficiency, quality, and innovation. This role is critical in ensuring that their production processes align with the company’s strategic goals and meet customer expectations. This leader will be responsible for establishing and scaling their manufacturing footprint through a combination of internal operations and external manufacturing partnerships, while ensuring seamless coordination across global suppliers, manufacturing partners, and final assembly activities. Key Responsibilities include:   Manufacturing Strategy: Develop and implement a comprehensive manufacturing strategy that aligns with the company’s overall business objectives and enhances production capabilities. Lead the strategy, setup, and ramp of U.S. manufacturing operations, whether through company-operated facilities, contract manufacturers, or hybrid production models. Operational Excellence: Develop and manage manufacturing partnerships to ensure quality, delivery, cost, and production readiness targets are achieved. Oversee production launch planning, process design, tooling, line setup, quality systems, and operational readiness across internal and partner manufacturing environments. Coordinate the integration of globally sourced vehicle systems, modules, and components into U.S. production operations. Ensure operational efficiency by optimizing manufacturing processes, resource allocation, and production schedules to maximize output and minimize waste. Quality Assurance: Establish and maintain high-quality standards across all manufacturing operations, implementing continuous improvement practices to enhance product quality and reliability. Supply Chain Management: Oversee the supply chain and logistics processes to ensure timely availability of materials and components while managing costs effectively. Technology Integration: Lead the adoption of advanced manufacturing technologies, including automation and lean manufacturing principles, to improve productivity and reduce operational downtime. Safety and Compliance: Ensure all manufacturing operations comply with safety regulations and industry standards, fostering a culture of safety among all employees. Team Leadership: Lead, mentor, and develop the manufacturing team, promoting a culture of continuous improvement, collaboration, and high performance. Cross-Functional Collaboration: Collaborate with other departments such as engineering, sales, and marketing to align production capabilities with market demands and customer requirements. Budget Management: Develop and manage the manufacturing budget, ensuring efficient use of resources and alignment with financial projections. Job requirements: Education: Bachelor’s degree in Engineering, Manufacturing, or a related field. Experience: Minimum of 10 years of manufacturing experience, with at least 5 years in a leadership role within the commercial vehicles, trucks, buses, RVs, trailers, or other complex electromechanical products preferred. Experience working with contract manufacturers, strategic manufacturing partners, or distributed production models. Experience managing complex cross-border supply chains and integration of externally produced assemblies, modules, or vehicle systems. Technical Expertise: Strong understanding of production launch, manufacturing engineering, supplier quality, operations scaling, and partner governance, particularly in the context of RV production. Leadership Skills: Proven ability to lead and inspire cross-functional teams, with excellent communication and interpersonal skills. Analytical Skills: Strong analytical and problem-solving abilities, with a focus on data-driven decision-making to enhance manufacturing performance. Results-Oriented: Track record of driving operational improvements and achieving manufacturing objectives through effective leadership and strategic planning. Benefits: Generous employee stock options 401(k) – 1:1 company match up to 5% Vision, Dental, and Medical Insurance PTO Free office lunch Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.     We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process.     Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time.   Check out our DE&I page here  

Job title: Senior Cloud Engineer Job type: Perm   Salary: 170,000 - 230,000 Role Location: Austin, TX The company: Automotive Manufacturer Role and responsibilities:  You will manage and optimize Kubernetes clusters, develop self-service PaaS features, and ensure operational excellence in a hybrid environment Designing secure and efficient networking between environments Handling huge volumes of sensor data (video, lidar, telemetry) Supporting ML pipelines (training, validation, deployment) Bridging edge (vehicle) systems with cloud infrastructure Ensuring low-latency and high-reliability systems for safety-critical applications Integrating cloud workloads with on-prem or edge compute (vehicles, data centers) Job requirements:  Ideal candidates will have strong skills in Kubernetes, GCP, and DevOps principles  Bachelors in Computer Science preferred, but not required This is a hybrid role out of Austin, TX. The hybrid schedule is 3 days in office, 2 days from home.  Benefits:  Benefits include health programs, retirement plans, and employee discounts   Accessibility Statement:?  We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process.??  Our Commitment to Diversity, Equity, and Inclusion:  Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time.??  Check out our DE&I page here