Profound Ai Tracking Tool Jobs in Usa

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

The Principal AI Security Engineer is a senior technical leader on the AI Security team, responsible for designing, building, and operating security controls for generative AI and Machine Learning (ML) systems across their full lifecycle: data, training, deployment, and runtime.

This role is deeply hands-on: you will work directly with data science, MLOps, platform, devops and application teams to secure LLMs, RAG systems, AI agents, and AI-enabled products. You will also lead the intake and review process for AI use cases, helping the organization adopt AI safely and at scale in a highly regulated environment.

The ideal candidate combines:

* Strong security engineering and cloud architecture experience

* Deep, current familiarity with modern AI/LLM tooling and practices

* Familiar and can cover basic coding within the AI tooling space (python, others)

* The ability to communicate clearly with senior leadership and influence enterprise-wide strategy

Essential Duties and Responsibilities

Secure AI / ML platforms and workloads

* Lead security architecture and threat modeling for AI/ML systems, including LLMs, RAG pipelines, agents, and AI-powered applications.

* Design and implement security controls as code (services, libraries, infrastructure-as-code, policy-as-code) for AI/ML platforms and workloads.

* Lead and help setup the basic infrastructure needed to safely rollout AI - MCPs, LLMs, pipelines, Test harness for AI (ie: harmbench), intake automation.

* Partner with data science and MLOps teams to harden:

• Data ingestion and labeling
• Training and fine-tuning pipelines
• Model registries and deployment workflows
• Inference APIs, agents, and integrations

* Define and champion secure reference architectures and patterns for common AI use cases and focus on composable architecture.

AI use case intake & governance

* Design, implement, and continuously improve the intake, triage, and review process for AI/ML and generative AI use cases across the organization.

* Build and automate self-service workflows (e.g., request forms, risk questionnaires, routing, approvals) that balance speed of delivery with security, privacy, and compliance with a focus on risk scoring and scorecards.

* Define risk-based criteria for AI use case approval, including data sensitivity, model and vendor selection, integration patterns, and control requirements; this will involve in re-mapping the complete end to end lifecycle.

* Review proposed AI solutions from concept through deployment, providing clear, actionable guidance to product and engineering teams.

* Maintain visibility into the AI use case portfolio and risk posture, and provide regular reporting to leadership and governance bodies.

Monitoring, detection & assurance

* Establish and maintain monitoring and detection for AI-specific threats, such as:

• Prompt injection and jailbreak attempts
• Data exfiltration and sensitive data exposure
• Misuse or abuse of AI tools and agents
• Anomalous model or pipeline behavior

* Integrate AI/ML systems with existing logging, SIEM, and incident response processes.

* Lead or participate in AI-focused security assessments, red-teaming, and adversarial testing; drive remediation and verification.

Strategy, leadership & enablement

* Help define and evolve the organization's AI security strategy, standards, and roadmap in partnership with Security, Engineering, Data, Legal, Privacy, and Risk.

* Translate global privacy, data sovereignty, and regulatory requirements into practical technical controls for AI workloads across multiple cloud environments.

* Prepare and deliver executive-ready briefings and narratives on AI security risks, controls, and progress.

* Mentor other engineers and serve as THE internal subject matter expert on AI/ML security, generative AI, and LLM-based systems.

Qualifications Expected for Position

• 7+ years of experience in information security, security engineering, or related fields, including significant time building and securing production systems.
• 3+ years of hands-on experience with AI/ML technologies (such as LLMs, RAG, model training/fine-tuning, MLOps, or AI-powered products), including implementation of security controls or guardrails for these systems.
• Strong programming skills in one or more relevant languages (e.g., Python, TypeScript/JavaScript, Go, or similar), with a track record of contributing to production-grade tools, services, or libraries.
• Deep understanding of cloud security architecture and controls on at least one major cloud platform (AWS, Azure, or GCP), including identity, networking, secrets management, data protection, logging, and monitoring.
• Experience designing and implementing controls in a highly regulated environment; healthcare or financial services preferred.
• Demonstrated ability to lead complex technical initiatives across multiple teams, from problem definition through design, implementation, and adoption.
• Proven ability to communicate complex technical and risk topics clearly to both engineering teams and senior leadership.

Preferred Qualifications:

* Practical experience securing LLM- and genAI-based systems, such as:

• RAG architectures backed by internal data
• AI assistants, copilots, or agents integrated with enterprise tools
• Fine-tuned models and model hosting platforms

* Experience with AI IDE tools

• cursor, windsurfer, others
• Knows the security problems and has practical solutions that balances innovation with innovation.

* Familiarity with AI/ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, Scikit-learn) and/or modern LLM development stacks and IDEs (e.g., API-based LLMs, self-hosted models, AI-enhanced coding tools).

* Experience with:

• Security for data pipelines, feature stores, and model registries
• Detection engineering or SIEM tuning for AI-related events
• Red-teaming or adversarial testing of AI systems

* Evidence of ongoing engagement with AI and security (such as side projects, open-source contributions, lab environments, publications, or conference talks).

* Familiarity with emerging AI security and safety standards and forward-looking industry guidance and horizon reports.

* Relevant certifications (e.g., cloud security, security engineering, or governance) are a plus.

* Strong analytical and problem-solving skills, with the ability to operate effectively in a fast-evolving technical and regulatory landscape.

* High level of integrity and ethical conduct.

This role is a fit if you:

* Regularly build, break, or secure AI/ML or LLM-based systems in your day-to-day work or personal projects.

* Are comfortable reading and writing code, experimenting with new AI tools, and wiring them into real systems.

* Enjoy turning ambiguous AI ideas and risks into concrete architectures, controls, and automation.

* Can move fluidly between deep technical discussions and concise, executive-level explanations.

This role is not a fit if you:

* Prefer to focus solely on policy, governance, or vendor assessments without hands-on technical work.

* Do not actively engage with current AI/LLM tooling, research, and emerging practices.

* "Describe a specific LLM or AI/ML system you have secured. What were the main risks and what controls did you implement?"

* "What AI tools, libraries, or environments do you actively use or experiment with today (work or personal), and for what?"

* "What do you see as the most important AI security or safety developments on the horizon over the next few years, and why?"

The base salary range for this position is$180,000 - $190,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

• Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

• Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

• Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

• Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

• Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

• Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.

Overview

Architects and builds the infrastructure and tooling that powers AI agent development across the Software Development Lifecycle (SDLC). Develops production-grade agentic systems, orchestration frameworks, and observability solutions that enable teams to build, deploy, and monitor reliable AI agents at scale. Plays a key role in defining and implementing the next generation of SDLC through AI-first innovation and comprehensive instrumentation.

What We're Looking For

You demonstrate sharp product sense for high-impact automation opportunities, technical taste in implementation decisions, and the ability to clearly articulate trade-offs. You know when to apply AI agent solutions versus simpler approaches and can explain the "why" behind architectural choices.

You excel at 0-to-1 (and 1-to-100) product development, comfortable operating in ambiguous environments where requirements emerge through experimentation and iteration rather than upfront specification.

Key Responsibilities

AI Agent Development & Automation:

• Develop production-grade AI agents that eliminate manual handoffs across the SDLC

• Create custom integrations and CLI tools that give agents deep understanding of internal systems and codebases

• Design comprehensive testing strategies to ensure agent reliability and output quality

• Implement "Golden Path" scaffolding that embeds organizational standards into new projects

• Build AI solutions that improve codebase navigation, documentation, and developer workflows

• Identify workflow bottlenecks and deliver measurable impact through intelligent automation

• Shape SDLC evolution by identifying AI-first opportunities and proving outcomes through experimentation

Agent Infrastructure & Platform:

• Architect and maintain production infrastructure supporting agent deployment, lifecycle management, and scaling

• Develop agent frameworks, templates, and SDKs that accelerate agent development

• Create governed Model Context Protocol (MCP) catalog enabling compliant agent-to-agent and agent-to-MCP communication

• Implement governance controls for agent behavior, permissions, and system access

Observability & Performance Analytics:

• Design and implement metrics, monitoring, and logging infrastructure for AI agents and development workflows

• Build dashboards that provide actionable insights into developer productivity, tool adoption, and agent performance

• Establish KPIs and measurement frameworks to quantify the impact of AI-powered automation

• Create alerting and anomaly detection systems to ensure reliability of agents and tooling

• Analyze telemetry data to identify optimization opportunities and guide strategic investment decisions

Collaboration & Impact:

• Partner across teams to drive adoption of AI-powered tooling and process transformation

• Stay current with LLM technologies and coach colleagues on AI-assisted development and automation best practices

• Rapidly prototype solutions to validate use cases and prove value quickly

• Communicate data-driven insights to stakeholders through clear visualizations and reports

Preferred Qualifications:

• 5-7+ years of software engineering experience building production systems

• Proven experience building agentic systems using LLM orchestration frameworks

• Hands-on expertise with AI-powered development tools (code assistants, AI-enhanced editors)

• Strong foundation in SDLC, system design, and internal tooling development

• Experience with observability tools and practices including metrics collection, logging frameworks, and dashboard development

• Full-stack technical proficiency:

• Languages: Java, Python, JavaScript/TypeScript

• Frameworks: Angular, Spring Boot

• CI/CD platforms and cloud infrastructure (AWS)

• Monitoring/observability tools (e.g., Prometheus, Grafana, CloudWatch)

• Passion for transforming software development through AI innovation and data-driven decision making

# LI-CGTS

# TS-2505

Role Overview

We are seeking a highly experienced Senior AI Architect to lead the design and implementation of enterprise-scale Agentic AI systems and multi-agent orchestration platforms. This role requires deep expertise in LLM-based architectures, distributed systems, and cloud-native infrastructure.

As a technical authority, you will guide enterprise clients through their Agentic AI transformation, from evaluating AI frameworks and communication protocols to deploying scalable, production-ready AI automation solutions.

You will work at the forefront of GenAI platform engineering, designing architectures that power intelligent automation, enterprise knowledge systems, and AI-driven workflows.

Key Responsibilities

Agentic AI Architecture & Design

• Design and implement end-to-end multi-agent orchestration systems for enterprise automation and decision intelligence.
• Define agent design patterns, including agent roles, delegation frameworks, task decomposition, and orchestration strategies.
• Architect scalable agent ecosystems with lifecycle management, monitoring, fallback mechanisms, and human-in-the-loop capabilities.
• Evaluate and implement inter-agent communication protocols such as MCP, A2A, REST, gRPC, JSON-RPC, and event-driven messaging.

GenAI & Foundation Model Integration

• Select and integrate LLMs and foundation models (OpenAI, Anthropic, Gemini, Mistral, Llama, etc.) based on task requirements.
• Develop advanced prompt engineering and context management strategies, including:
• Few-shot prompting
• Chain-of-thought reasoning
• Retrieval-Augmented Generation (RAG)
• Structured output pipelines
• Implement tool and function calling patterns enabling agents to interact with enterprise APIs, databases, and services.
• Optimize context window management, token budgets, and dynamic context injection for scalable production systems.

State Management & Agent Memory

• Architect stateful AI systems with short-term, long-term, and episodic memory layers.
• Implement persistence strategies using:
• Vector databases
• Key-value stores
• Graph databases
• Relational systems
• Design auditable and idempotent execution patterns suitable for enterprise governance and compliance requirements.

Microservices & Platform Engineering

• Build AI platforms using loosely coupled microservices with scalable APIs and observability built in.
• Deploy AI systems using container orchestration platforms such as Kubernetes (EKS, AKS, or GKE).
• Establish CI/CD pipelines for AI workloads including model versioning, prompt versioning, and deployment strategies.
• Promote Infrastructure-as-Code (IaC) using tools like Terraform and GitOps deployment practices.

Enterprise Client Engagement

• Partner with enterprise stakeholders to assess AI readiness and automation opportunities.
• Translate complex business requirements into scalable AI system architectures.
• Provide guidance on build vs. buy decisions for AI frameworks and vendor tools.
• Produce architecture documentation, reference designs, and implementation playbooks.

Required Qualifications

• 8+ years of experience in software engineering or platform architecture.
• 3+ years of experience designing AI/ML systems or GenAI platforms.
• Hands-on experience building multi-agent or agentic AI orchestration systems in production.
• Strong experience with agent frameworks such as:
• LangChain
• LangGraph
• AutoGen
• CrewAI
• Semantic Kernel
• Expertise integrating LLMs, embeddings, tool/function calling, and RAG pipelines.
• Deep knowledge of microservices architecture, distributed systems, and API design.
• Experience with container orchestration (Kubernetes preferred) and cloud platforms such as GCP, AWS, or Azure.
• Strong programming skills in Python, with additional experience in TypeScript, Go, or Java preferred.

Preferred Qualifications

• Experience working with enterprise clients or consulting environments.
• Knowledge of AI governance, responsible AI, and compliance frameworks.
• Familiarity with model fine-tuning, RLHF, or adapter-based model customization.
• Experience with AI observability tools such as LangSmith, Arize AI, or OpenTelemetry.
• Experience working with vector databases (Pinecone, Weaviate, Qdrant, pgvector).
• Contributions to open-source AI or agentic system projects.

Edikted is seeking a highly creative and forward-thinking AI Creative Artist to join our growing Creative team. This role will sit at the intersection of fashion, technology, and culture — using cutting-edge AI tools to develop trend-driven, hyper-realistic visuals that resonate with our Gen-Z audience.

This is not a traditional design role. We’re looking for someone who understands internet culture, fashion storytelling, and the speed of fast fashion — and can leverage AI to bring bold ideas to life across social, campaigns, e-commerce, retail, and brand moments.

What You’ll Do

• Create high-impact visual assets using AI tools such as Midjourney, Runway, Sora, Pika, Nano Banana, Claude, Weavy, Flow and other emerging generative platforms.
• Develop AI-generated imagery and video content for campaigns, product drops, social media, paid ads, web, email, and in-store experiences
• Produce fast-turn, trend-responsive content without compromising visual quality
• Write, test, and refine prompts to achieve consistent, brand-right outputs aligned with Edikted’s Gen-Z aesthetic
• Build internal prompt libraries and workflows to streamline creative production
• Maintain visual cohesion across seasonal concepts and campaigns
• Partner closely with Art Directors, Graphic Designers, Fashion Designers, and Marketing teams
• Translate seasonal direction, mood boards, and digital campaigns into innovative AI-driven visuals
• Contribute to brainstorming sessions for creative drops, viral moments, and cultural activations
• Stay ahead of emerging AI tools, digital art trends, fashion culture, and Gen-Z online behavior
• Continuously experiment and propose new ways AI can elevate storytelling and content velocity
• Help shape Edikted’s AI creative roadmap

What You'll Bring

• 2–4+ years of experience in digital art, creative production, fashion content, or AI-driven visual storytelling
• A strong portfolio showcasing AI-generated image and/or video work — preferably within fashion, beauty, lifestyle, or culture-driven brands
• Advanced proficiency in AI creative tools such as Midjourney, Runway, Sora, Pika, and other emerging generative platforms
• Deep understanding of prompt engineering, visual iteration, and building scalable AI workflows
• A sharp eye for composition, lighting, texture, realism, and trend relevance
• Strong understanding of Gen-Z fashion culture, internet aesthetics, and social-first storytelling
• Ability to move at the speed of fast fashion — balancing high output with high quality
• Experience translating brand guidelines into visually cohesive content across multiple channels
• Strong collaboration skills and comfort working cross-functionally with Creative, Fashion, and Marketing teams

Benefits Include:

• Health, Dental, and Vision insurance, plus 401(k)
• Paid Time Off (PTO)
• Hybrid schedule: Monday–Thursday on-site at our Arts District HQ, Fridays remote
• Employee discount
• Salary range: 110,000-130,000

Role:

The Technical Product Manager, Functional AI, will lead the definition and delivery of AI solutions that transform our core business functions, including Finance, HR, Legal, Marketing, and others. This role bridges functional expertise and technical execution—partnering with business leaders to identify opportunities, shaping requirements into scalable AI solutions, and ensuring adoption that delivers measurable value. The Technical Product Manager will collaborate closely with engineers and data teams to design, pilot, and scale solutions, while maintaining clear visibility into ROI and impact for leadership. Success in this role requires strong product management discipline, applied AI expertise, and the ability to translate complex technical concepts into business outcomes.

Responsibilities:

Product Management & Business Partnership:

• Lead discovery and scoping sessions with business stakeholders across corporate functions (Finance, HR, Marketing, etc.) to identify high-value AI opportunities.
• Build strong relationships with functional leaders to understand workflows, pain points, and success measures.
• Translate business requirements into clear technical requirements that guide design, engineering, and vendor evaluation.
• Drive user experience design by ensuring solutions are intuitive, accessible, and aligned with employee needs.
• Prepare clear documentation of requirements, workflows, and decision rationale to support transparent delivery.
• Lead Agile sprint planning, backlog grooming, and retrospectives to ensure timely and high-quality delivery of product features in collaboration with cross-functional teams.

AI Solution Design & Delivery Support:

• Partner with engineers to shape solution approaches, balancing build/buy/partner considerations.
• Contribute to solution architecture discussions, ensuring designs are scalable, secure, and compliant with standards.
• Collaborate closely with delivery teams to validate functionality against requirements, proactively evaluate feature effectiveness and accuracy, and resolve scope or design ambiguities to ensure product quality and alignment with user needs.
• Support testing, pilot deployment, and adoption efforts, incorporating user feedback into iterative improvements.
• Document and communicate lessons learned, value metrics, and impact stories to demonstrate business outcomes.

Value & Impact Measurement:

• Define success metrics and measurable outcomes for each AI initiative in partnership with business stakeholders.
• Work closely with the Data Analytics team to design and maintain value tracking reports and dashboards.
• Monitor adoption, efficiency gains, and ROI, and proactively identify areas for improvement.
• Present value realization updates to leadership, ensuring clear visibility into the business impact of AI solutions.

Qualifications:

• At least 5 years of experience in technical product management with a minimum of 2 years in AI-related products.
• Bachelor’s and Master’s in Computer Science, Physics, Engineering, or associated quantitative fields.
• Have proven experience and knowledge of corporate functions (Finance, HR, Legal, Marketing, etc.)
• Exceptional facilitation and communication skills—comfortable running discovery sessions, white-boarding with PMs, and demoing prototypes to senior leaders.
• Demonstrated product-management mindset: roadmap ownership, KPI definition, and budget/risk trade-off communication.
• Hands-on experience leading change initiatives and measuring adoption by teams.
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills
• Ability to articulate technical concepts to non-technical stakeholders
• Deep understanding of AI applications, tools, and methodologies
• Proven ability to apply AI/ML techniques (e.g., NLP, document intelligence, predictive modeling, generative AI) to solve business problems in corporate functions.
• Hands-on experience with modern AI/ML tools and platforms (e.g., OpenAI, Azure AI, AWS SageMaker, AWS Bedrock or similar).
• Familiarity with the latest trends in AI (e.g., agentic AI, multimodal models, RAG) and ability to evaluate their relevance for client use cases.

About This Role

This isn't a traditional engineering role where you'll receive detailed specifications and build to order. We're looking for someone who digs into problems firsthand—someone who asks "why" until they truly understand what's broken, then builds the solution themselves.

If you've ever been frustrated by the gap between people who understand the customer and people who can build technology, this role exists because we share that frustration. We want someone who can do both.

What You'll Do

You'll use AI tools—particularly Claude Code and the Claude platform—to build solutions that solve real problems in mortgage lending. Not proofs of concept. Real tools that people use every day.

Examples of problems you might tackle:

• Loan conditions arrive from Fannie Mae, Freddie Mac, VA, and FHA in different formats. Loan officers spend hours reconciling them. Build something that consolidates and deduplicates them automatically.
• Underwriters spend significant time on tasks that could be automated, but "that's how it's always been done." Identify which tasks, understand why, and build the automation.
• Compliance requirements evolve constantly. Build systems that can adapt without requiring lengthy development cycles.

You won't always be handed a clear spec. You'll often be handed a problem—sometimes a vague one—and expected to dig in until you understand it well enough to solve it.

What We're Looking For

Required:

• You can build working software. You don't need a team of engineers to ship something useful. Claude Code, Python, JavaScript, APIs—you're comfortable getting hands-on.
• You go deep on problems. When someone says "we need a dashboard," you ask what decision they're trying to make. When they say "it takes too long," you ask how long, why, and what happens as a result.
• You're persistent. You don't hear "that's not possible" and stop there. You get curious and look for another way.
• You communicate well across audiences. Executives, loan officers, underwriters, compliance teams—you can work with all of them effectively.

Preferred:

• Bachelor's degree in Business, Computer Science, or related field
• Experience in mortgage lending, financial services, or another regulated industry
• Hands-on experience with AI coding tools (Claude Code, Copilot, Cursor, or similar)
• Background that spans both business and technical work—perhaps you started in analysis and taught yourself to code, or you're an engineer who consistently finds yourself thinking about the customer problem

What matters most:

We care less about your pedigree and more about your ability to solve problems and work well with others while doing it.

Why This Role Exists

We're a 200-person mortgage lending organization, and we believe AI is going to fundamentally change how our industry operates—not by replacing people, but by making our people dramatically more effective.

We're moving away from the traditional model where business teams write requirements, hand them to engineers, and hope the result matches the intent. We want to build a team of people who can understand the problem deeply and build the solution directly. Fewer handoffs. Faster iteration. Better outcomes.

If that resonates with you, we'd like to talk.

How To Apply

Please send:

1. Your resume
2. Something you've built — a link, screenshot, GitHub repo, or brief walkthrough. It doesn't need to be polished. We want to see how you approach problems.
3. A short note (a few sentences) about a problem you investigated deeply and what you learned from it

SUMMARY:

The Tooling Supervisor – Engineer is responsible for all aspects of in-house and external tool tracking, tool and fixture repairs and tool maintenance to ensure that the company objectives are met. The Tooling Supervisor- Engineer will interface between Spectrum Plastics Minneapolis location and external tooling suppliers. This position will be accountable for tracking and meeting all agreed upon tool delivery dates, costs and maintaining spare components.

KEY ACCOUNTABILITIES:

1. Actively promote and drive a culture of safety within Spectrum Plastics Group.
2. Responsible for tooling P&L, adhere to tool delivery dates and quality of work for all Spectrum MN tooling transactions.
3. Participate in support of the quoting sales process. Acquire tooling quotes
4. Provide Application and NPI DFM analysis
5. Manage and track all tool cleanings, repairs, PM’s, refurbishments, and spare parts.
6. Lead tool design reviews and modification methodologies
7. Provide technical support on tool issues to the Operations team as needed.
8. Effectively measure and drive supplier performance and the reduction of tool lead times and costs.
9. Lead and /or assist on sustaining tool design review and modification methodology.

KEY RESPONSIBILITIES:

1. Manage and communicate tool delivery dates to the Operations Team, striving for on-time or early delivery.
2. Manage tooling database (IQMS) for tracking tools, implementing planned scheduled maintenance or scheduled repairs.
3. Develop customer tooling recommendations as needed for new tools or refurbishments.
4. Set-up, track and maintain all tooling spare components.
5. Ensure customer tooling assessments are managed and tracked.
6. Provide technical support for Operations team, tool repairs and estimating.
7. Ensure tool drawing files are updated as needed.
8. Manage the tool cleaning group to ensure quality of work and adherence to schedules.

Job Qualifications

EXPERIENCE, SKILLS, EDUCATION AND TRAINING:

5 years of tool building experience. Excellent organizational, communication and computer skills. Demonstrates a sense of urgency. Knowledge of blueprint reading, Solidworks and Pro –e. Proficient at Geometric Tolerance interpretation.

WORK ENVIRONMENT AND PHYSICAL DEMANDS:

The noise level is usually low in the office setting and moderate to high in the manufacturing area.

The employee may be exposed to fumes and dust.

LHH Recruitment Solutions has partnered with a growing organization, and they are seeking a motivated Tool Room Manager – Die Casting to join their team. This is a high-impact leadership role for someone who brings deep technical expertise, strong people leadership, and a sense of urgency to supporting manufacturing operations and customer commitments.

The Tool Room Manager will have full responsibility for the day-to-day leadership and performance of a multi-shift tool room, overseeing approximately 20–25 skilled tool room professionals. This role partners closely with Manufacturing, Engineering, Quality, and Operations to ensure tooling readiness, reliability, and continuous improvement.

If you are energized by building relationships with your team, improving processes, and solving real-world manufacturing challenges, this role offers both stability and visibility within the organization.

Key Responsibilities:

• Provide direct leadership and oversight of the Tool Room team across shifts, fostering accountability, engagement, and development.
• Drive tooling availability, performance, and cost control to support production schedules and customer requirements.
• Plan and prioritize tooling workloads, maintenance, and repairs to meet changing production demands.
• Lead continuous improvement initiatives, including Lean manufacturing principles and 5S.
• Track tooling costs, labor efficiency, and performance metrics; identify opportunities for optimization.
• Support new product introductions, collaborating with cross-functional teams during launch and ramp-up.
• Evaluate and recommend capital equipment, tooling investments, dies, and molds.
• Ensure preventive maintenance programs are executed on dies, molds, and tool room equipment.
• Uphold all quality, safety, environmental, and compliance standards.
• Act as a trusted leader on the floor—coaching, mentoring, and developing talent within the tool room.

Qualifications and Skills:

• Proven leadership experience within a manufacturing environment, with a strong hands-on presence.
• Die Casting experience is required.
• Experience in metal stamping or injection molding.
• Demonstrated success managing skilled trades or tool room teams.
• Strong working knowledge of tooling processes, tool & die repair/build, and manufacturing best practices.
• Ability to collaborate effectively across departments and communicate with urgency and clarity.
• Willingness to travel to customer sites within the U.S. on an occasional basis (a few times per year).
• Bilingual English/Spanish is highly preferred.
• Background in Lean manufacturing environments.
• Experience supporting automotive or high-volume manufacturing operations.
• CAD/CAM familiarity and strong technical troubleshooting skills.

Compensation Range: $110,000 - $130,000

Benefits Offered: 2 weeks of vacation, paid sick leave where applicable by state law, Medical Insurance, Dental Insurance Vision Insurance, 401K, and Life Insurance.

If you are a passionate Tool Room Manager looking for anew and rewarding career, please apply today! You don’t want to miss out on this opportunity!

LHH is a leader in permanent recruitment—and in the placement of top talent. Our areas of specialty include office administration, customer service, human resources, engineering, and supply chain and logistics. Please feel to check us out and apply for other opportunities if this role isn’t a perfect match.

Equal Opportunity Employer/Veterans/Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit

POSITION SUMMARY

The Tooling Warehouse Manager is responsible for controlling, maintaining, and optimizing all tools, equipment, and related inventory that support field operations. This role ensures that crews have the proper tools in proper condition while controlling costs and reducing downtime. This role also ensures that all company and government regulated safety standards are met.

POSITION FUNCTIONS

• Manages all current and incoming tooling inventory supporting transmission, distribution, and substation crews. Maintains accurate counts of hot-line tools, rubber goods, rigging, hand tools, power tools, and transmission equipment.
• Tracks tool condition, certifications, and replacement cycles, and coordinates testing and recertification as required.
• Administers and maintains the Yardz asset management system.
• Stocks and outfits line trucks, bucket trucks, diggers, and service vehicles based on crew type, customer specifications, and project scope.
• Works with multiple vendors to procure new tooling, replacement parts, PPE, rubber goods, and rigging. Coordinates specialty tooling rentals as needed and maintains strong vendor relationships to support pricing and availability.
• Maintains working knowledge of small engine repair and upkeep, including chainsaws, generators, air compressors, hydraulic power units, and pumps. Coordinates repairs internally or through third-party vendors and manages service schedules.
• Supervises and leads a warehouse team of 3–5 employees. Assigns daily responsibilities, provides coaching and performance feedback, and ensures safe work practices and compliance within the warehouse and yard.
• Maintains constant engagement with field leadership, including General Foremen, Superintendents, and Project Managers. Supports urgent tooling needs, storm mobilizations, and jobsite deliveries and returns.
• Oversees organization, storage, and security of the warehouse and laydown yard, including poles, wire, hardware, reel stands, and construction materials.
• Ensures all tooling and equipment meet OSHA, ASTM, IEEE, and company safety standards. Maintains inspection documentation and supports safety audits as needed.
• Prepares reports as needed.
• Other duties as assigned.

EDUCATION AND EXPERIENCE REQUIREMENTS

• High school diploma or GED.
• 3+ years of warehouse, inventory, or tool management experience.
• Experience in construction or electrical contracting preferred.
• Previous management experience, a plus.

KNOWLEDGE, SKILLS, AND ABILITIES

• Strong experience in Microsoft Office, specifically Excel.
• Organized with a strong attention to detail.
• Strong ability to identify and solve issues.
• Solid written and verbal communication skills.
• Strong interpersonal and customer service skills.
• Self-motivated.
• Excellent project management skills, capable of handling multiple projects concurrently with good time management.
• Ability to build and foster relationships with team members.
• Ability to conducts self in an appropriate manner as a representative of SEC, working effectively in a diverse work environment.
• Valid drivers license required.
• OSHA certifications and forklift certification preferred.

TRAVEL REQUIRED: Minimum

WORKING ENVIRONMENT/PHYSICAL REQUIREMENT: This position will work in a warehouse setting and will be required to liftand carry up to a minimum of fifty pounds. The position will require standing for long periods, bending, and crouching.

NOTE: This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee. Duties, responsibilities, working conditions, physical demands, and activities may change or new ones many be assigned at any time with or without notice.

Service Electric Company provides Equal Employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

• Enforce company safety policies

• Issue, receive, and store hand tools and equipment

• Maintain inventory of all tools and order new equipment as needed

• Keep records of tools issued to employees

• Report damaged, worn out, or missing equipment

• Use computer to enter and track tool transactions

• Clean, oil, and perform minor repairs on tools or equipment

• Coordinate with field employees to ensure timely delivery of tools

• Keep work area clean and organized

• Maintain high quality and productivity standards

• Assist other departments as needed based on workload

• High school diploma or equivalent

• Valid Florida driver's license

• In-depth knowledge of duct fabrication and installation systems

• Understanding of HVAC systems and related supporting utilities

• Ability to work independently without supervision

• Strong leadership and employee management skills

• Physical tasks include standing, balancing, climbing stairs and ladders

• Daily walking and lifting of 50 pounds or more

• Use of upper extremities for forward and overhead reaching, pushing, pulling, and handling materials

• Use of torso and lower extremities for kneeling, crawling, stooping, twisting, and squatting