Profound Ai Visibility 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.

** We will only consider applicants who are currently residing in South Florida**

About MMG

MMG Equity Partners is a Miami-based, family-led real estate investment and development platform with a portfolio of retail shopping centers across South Florida. Beyond the real estate business, MMG operates a private family office that manages investments, insurance, and financial reporting across multiple entities and family members. MMG separately owns Tamarack Resort in Idaho. We are a flat, fast-moving organization where you will work directly with principals — not layers of management.

This is a ground-floor role. We are building the function from scratch. The right person will define what AI means at MMG, then build it.

The Role

The Director of AI Initiatives & Adoption is responsible for identifying, implementing, and managing AI tools and systems that meaningfully improve how MMG operates across real estate and family office functions. Every project you take on must connect to a business outcome — faster decisions, better data, more deals, reduced overhead.

You will own four things: identifying where AI creates real value at MMG, building or procuring the tools to capture that value, driving adoption across the team and continuously improving how those tools are used, and ensuring the systems are secure and maintainable. Implementation without adoption is not success.

• Reports to Managing Director
• Direct reports - contractors and freelancers as needed
• Current IT Enviroment - outsourced IT for network support

Current Tech Stack (what you are walking into)

You need to understand these systems deeply. Part of your job is figuring out how to connect them and leverage AI to make us more productive/competitive

What you will work on

Below are four areas where we believe AI creates the nearest near-term value at MMG. You first job is to work with the leaders in each area to assess each, prioritize, and build a 6-month roadmap. In addition to the below, the right individual will identify a myriad of other AI use cases to add value and reduce repetitive tasks.

1. Leasing and Tenant Prospecting

MMG owns retail shopping centers and is responsible for filling vacancies with the right tenants – while we work with third party leasing firms, we wish to supplement their efforts by generating direct leads.

• Design and build AI scraping tools to compile databases of South Florida retailers and service businesses for targeted uses
• Build a tool to identify prospective uses/tenants: given a vacancy (size, location, co-tenancy, demographics), which business types and specific operators are the best candidates?
• Design and build AI-assisted leasing outreach workflow: targeted uses identified for vacancies → database queried → outreach drafted and sent → responses tracked in Dynamics (or other CRM)
• Activate Microsoft Dynamics (or other) as the CRM for online leasing
• Identify tools or workflows to monitor existing tenant health (sales reporting, foot traffic, business review signals) to get ahead of vacancies before they happen
• Identify and implement AI-assisted lease abstracting tool to best fit our environment

2. Real Estate Acquisitions

MMG evaluates potential acquisitions across South Florida. Today this process is manual and dependent on individual knowledge. AI can accelerate every stage.

• Design and build AI scraping tools to compile databases of South Florida real estate owners
• Build an AI-assisted underwriting workflow that pulls property data, comps, and market context into a structured analysis template
• Identify AI tools for market intelligence — rent growth trends, cap rate movements, retail category performance by submarket
• Evaluate AI-powered deal sourcing tools (e.g. CoStar integrations, off-market sourcing platforms

3. Private Family Office

MMG's family office manages investments, insurance, and financial reporting for family members. This is a sensitive area requiring strict data governance — but it also has high-value AI applications.

• Addepar AI integration: explore ways to use AI to generate plain-language investment performance summaries and financial reports from Addepar data, reducing manual reporting time
• Insurance management: build a structured database or AI assistant for tracking insurance policies (G/L, personal property, family member policies) with renewal alerts and coverage gap analysis
• Document intelligence: connect family office files in SharePoint to an AI interface for on-demand retrieval of partnership agreements, tax documents, and legal filings
• Evaluate data governance and access controls for family office data — this is sensitive personal and financial information; AI access must be role-based and audited

IT Infrastructure and Security

You are not a network administrator — we have an outsourced IT firm for that. But you are responsible for AI governance at MMG: ensuring every AI tool introduced into the environment meets a clear security and accountability standard.  Practically, this means:

• Evaluating AI vendors for data handling practices — what data leaves our environment, where it is stored, and how it is used for model training
• Defining and enforcing a data classification policy: what information can be sent to external AI APIs, what must stay on-premise or in private cloud environments
• Working with IT firm to ensure AI tools are deployed within the MS365/Azure security perimeter where possible
• Evaluating the Claude Teams → Claude Enterprise migration and the Microsoft Connector configuration for SharePoint access — specifically, controlling which documents are accessible to AI and by which users
• Vetting any third-party AI integrations (i.e. ZoomInfo, Yardi, etc.) for compliance with firm data policies

Prompt Library & AI Adoption

Building the tools is only half the job. The other half is making sure the team actually uses them — and uses them well. This requires two ongoing responsibilities that most AI roles underestimate.

Prompt Library

You will build and maintain a living prompt library — a curated set of tested, optimized prompts for every recurring AI task at MMG. Examples include: underwriting analysis from a rent roll, lease abstraction for a specific clause type, tenant outreach drafts by use category, and insurance renewal gap analysis. The library lives in SharePoint, is accessible to the full team, and is updated continuously based on user feedback and evolving business needs. A well-maintained prompt library is what turns AI from a tool that one person uses well into a capability that the whole organization depends on.

Adoption Monitoring & Continuous Improvement

You are responsible for whether AI tools actually get used — not just whether they get deployed. This means tracking adoption across the team, identifying where workflows are not sticking, providing training and troubleshooting support to staff using AI tools, and iterating on both the tools and the prompts based on real usage patterns. You will serve as the primary internal resource for the team when they hit limitations or need guidance on how to get better outputs. Deployment without adoption is a sunk cost.

What we are looking for

Required:

• 3–6 years of experience in data, technology, or AI — ideally in a context where you had to figure things out without a large team around you
• Hands-on experience with AI tools and LLM platforms — not just using them, but building workflows, prompts, and integrations on top of them
• Demonstrated ability to connect AI capabilities to specific business outcomes (not just technology for its own sake)
• Comfort with the Microsoft 365 ecosystem — SharePoint, Dynamics, Teams, Azure
• Ability to manage and direct contractors and developers without being the one writing all the code
• Non-technical stakeholder communication — you will regularly present AI recommendations, tool evaluations, and implementation roadmaps directly to the principal(s) who are real estate operators, not technologists. The ability to translate AI capabilities into business outcomes (not feature lists) is non-negotiable. If you cannot explain why a tool matters in terms of time saved, deals sourced, or risk avoided, you will not be effective in this role
• In-office presence at Pinecrest HQ is required initially (possible hybrid in the future)

Preferred

• Experience in commercial real estate, property management, or a related field
• Familiarity with Yardi, Addepar, or similar platforms
• Background that includes both technical work (building things) and strategic work (recommending what to build)
• Experience implementing AI in a small-team / resource-constrained environment

Voxology is redefining patient engagement with AI-driven solutions designed to streamline healthcare access and administrative processes. Our mission is to enable healthcare providers to deliver effortless, patient-centric experiences.

Through advanced conversational AI, we power seamless communication across voice, text, and chat—reducing wait times, improving access, and enhancing the overall patient experience. By integrating with leading EMRs, we simplify the end-to-end patient journey, from scheduling and intake to financial clearance and follow-up, allowing providers to focus on delivering exceptional care.

We’re looking for a healthcare front office professional to help improve the quality and accuracy of AI-driven patient interactions.

This is a part-time (5–10 hrs/week), remote role where you’ll review real patient calls, identify issues, and help refine how AI agents handle scheduling, intake, and patient communication.

If you’ve worked at a front desk, call center, or in patient access, this is a great opportunity to get exposure to AI while leveraging your real-world experience.

• Listen to recorded patient calls and review transcripts
• Identify issues in conversations (missed scheduling opportunities, incorrect responses, confusing workflows)
• Provide clear, actionable feedback on what should have happened instead
• Tag and label conversations (patient intent, outcomes, error types)
• Ensure AI workflows align with real-world front office processes
• Identify patterns and recurring issues across interactions

• 1+ year experience in a healthcare front office role, such as:
• Patient Access Representative
• Medical Receptionist
• Scheduling Coordinator
• Healthcare Call Center Agent
• Strong attention to detail
• Comfortable reviewing calls/transcripts and providing structured feedback
• Understand how real patient conversations and workflows operate

• Experience with EMRs (Athena, NextGen, Epic, etc.)
• Exposure to scheduling, insurance verification, or referral workflows
• Prior QA, auditing, or call review experience

• Work on real-world AI used by healthcare providers
• Directly impact patient experience and access to care
• Flexible, part-time schedule
• Strong entry point into healthcare + AI

• Location: Remote
• Time Commitment: 5–10 hours per week
• Compensation: $20–$40/hour (based on experience)

Applied AI Engineer

Compensation:

• Up to $150,000 base salary (direct hire w2 only, no c2c, no 1099), (flexibility on base salary for exceptional experience)

Location:

• Hybrid / Onsite - Greater Kansas City Metro Area
• 3 days per week onsite, 2 days remote
• Candidates must currently reside in the KC metro area or be willing to relocate within a reasonable timeframe
• Fully remote candidates cannot be considered

Work Authorization:

• Must be authorized to work in the U.S.
• No current or future visa sponsorship available

Engagement Type:

• Full time, direct hire only
• No third-party agencies, consulting firms, C2C, or 1099 arrangements

About the Opportunity

Vaco Highspring is conducting a confidential search on behalf of a global enterprise organization with a strong technology footprint, including a proprietary SaaS platform and a technology?enabled services business.

The organization is making a focused investment in artificial intelligence to improve internal efficiency, modernize workflows, and embed intelligent capabilities into its software platform. This role offers meaningful ownership and visibility, with a mandate to build and deploy AI systems that have real, production level impact.

The Role

As an Applied AI Engineer, you will play a key role in integrating AI across internal systems and a customer facing SaaS platform. You will work hands on with large language models (LLMs) and modern AI tooling to automate processes, build internal tools, and deliver intelligent product features.

This is a production focused role operating at the intersection of engineering, product, and business operations, with close collaboration across teams in a hybrid/onsite environment. (3-days per week onsite in Greater Kansas City Metro Area, 2-days remote work.)

Key Responsibilities

• Design and build scalable AI powered services and tools to streamline internal workflows across multiple teams (e.g., operations, content, sales, support).
• Develop and deliver intelligent features within a proprietary SaaS platform.
• Integrate, manage, and optimize multiple LLMs and AI APIs (e.g., OpenAI style, Anthropic style, or comparable providers).
• Provide technical leadership and mentorship to other engineers, including guidance on architecture, best practices, and performance.
• Build and maintain backend systems and APIs that support AI functionality across products and services.
• Design infrastructure for model serving, orchestration, monitoring, and lifecycle management.
• Implement fallback strategies, model routing, and cost performance optimization.
• Partner cross functionally with engineering, product, and business stakeholders to identify high impact AI opportunities.
• Apply best practices related to data privacy, security, compliance, and responsible AI use.
• Stay current with advancements in AI, LLMs, and MLOps, introducing new approaches where appropriate.

Qualifications

• 6+ years of engineering experience with multiple years of experience in a production environment deploying AI/ML applications or infrastructure.
• Proven experience applying LLMs or similar AI models to real business or product challenges.
• Strong backend engineering skills (Python and/or TypeScript preferred).
• Experience with AI/ML orchestration and deployment tools (e.g., LangGraph style frameworks, Airflow like systems, Kubeflow, Ray, or workflow automation tools).
• Hands on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Front end development experience in areas like React, Node.js, Web Development, front end web product design
• Solid understanding of MLOps practices, including deployment, monitoring, logging, and evaluation.
• Knowledge of data privacy, security, and ethical AI considerations.
• Experience supporting SaaS platforms or technology driven products is a plus.
• Strong communication skills and the ability to collaborate across technical and non-technical teams.
• Passion for applying AI in practical, high impact ways.

Why This Role

• High visibility and ownership of AI initiatives
• Opportunity to build AI systems that directly impact business outcomes
• Emphasis on production grade systems, not experimentation alone
• Collaborative, hybrid environment with close access to stakeholders

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

AI & Business Systems Manager

Christopher Homes, a nationally acclaimed luxury residential developer and home builder, has been creating Nevada’s finest neighborhoods since 1981. Within four decades, we have developed over 2,000 homes with a total value of over $1 Billion.

Our experience and reputation for developing luxury residential neighborhoods is unmatched. Of note, Christopher Homes has been awarded over 150 national and local awards for design excellence, which include: 19 Home of the Year awards, 7 Community of The Year awards, and recognized as the Homebuilder of the Year by the National Association of Homebuilders (NAHB), and numerous other awards.

Our Purpose



Enhancing lives by creating innovative homes and communities that inspire and reflect the unique interests of our residents. How we do anything is how we do everything. We are creators. The foundation of our success is rooted in our culture and our most valuable resource is our people. We are a diverse group made up of smart, creative, and dedicated people that are passionate about transforming the modern living experience.

Position Overview

The AI & Business Systems Manager is a senior, hands-on role responsible for designing, governing, and operationalizing artificial intelligence across Christopher Homes’ real estate development and luxury homebuilding platform. The manager will report to our CFO. This role requires deep, proven experience in real estate development and residential construction combined with advanced applied AI, data, and enterprise systems expertise.

The manager can work on-site or have a hybrid schedule.

This individual will lead the transformation of fragmented data and disconnected systems into a clean, structured, AI-ready ecosystem that improves efficiency, reduces costs, enhances forecasting, and elevates the customer experience. This is not a research role—this position focuses on practical, secure, ROI-driven AI embedded directly into daily workflows.

This is a full-time, individual contributor role with enterprise-wide responsibility and visibility.

Key Responsibilities

AI STRATEGY & IMPLEMENTATION (PRIMARY FOCUS)

·      Design and execute an enterprise AI roadmap aligned with real estate development and homebuilding workflows

·      Embed AI directly into core systems including Procore, ERP, Buildtopia, HubSpot, and Microsoft platforms

·      Identify and deploy AI use cases for:

–        Cost control and variance detection

–        Schedule and cycle-time optimization

–        Purchasing and vendor analysis

–        Warranty trend prediction and root-cause analysis

–        Marketing performance and lead intelligence

·      Automate repetitive, manual, and error-prone processes using AI and intelligent workflows

·      Ensure all AI solutions are secure, compliant, and aligned with data privacy best practices

DATA ARCHITECTURE, CLEANUP & GOVERNANCE

·      Assess, clean, normalize, and structure data across all business systems

·      Establish data standards, naming conventions, and governance policies

·      Eliminate duplication, silos, and inconsistent data definitions

·      Ensure data integrity to support reliable AI-driven insights and decision-making

·      Prepare data architecture to support future scalability and AI maturity

REAL ESTATE DEVELOPMENT & CONSTRUCTION SYSTEMS LEADERSHIP

Serve as the internal expert on how AI supports:

              – Land development

            – Vertical construction

-- Purchasing and contracts

            – Design center operations

            – Warranty and post-close service

·      Deeply understand how data flows through real estate development and homebuilding lifecycles

·      Optimize system usage to reflect how the business actually operates—not generic software assumptions

·      Partner with vendors, consultants, and software providers during system enhancements or ERP transitions

BUSINESS PARTNERSHIP & CHANGE MANAGEMENT

·      Translate real estate development and construction challenges into AI-enabled solutions

·      Partner closely with executive leadership and department heads

·      Educate teams on AI tools, best practices, and responsible usage

·      Adoption of AI-enabled workflows across the organization

REPORTING, FORECASTING & DECISION INTELLIGENCE

·      Build AI-powered dashboards, reports, and forecasting tools

·      Improve visibility into costs, schedules, risks, and performance

·      Enable leadership to make faster, more accurate, data-driven decisions

REQUIRED QUALIFICATIONS   

·      8+ years of experience in real estate development, residential construction, or homebuilding environments

·      Demonstrated, hands-on experience applying AI to real business systems

·      Deep understanding of development and construction workflows, terminology, and financial drivers

·      Proven ability to organize, clean, and govern complex operational and financial data

·      Experience with enterprise systems such as:

            – Procore

            – ERP systems (Sage 100 Contractor or similar)

             – Buildtopia (Purchasing, Design Center, Construction and Warranty)

            – CRM & Marketing platforms

            – Microsoft ecosystem (including Copilot)

·      Strong understanding of data security, privacy, and compliance in business environments

·      Ability to operate independently and drive outcomes without direct supervision

STRONGLY PREFERRED

·      Luxury single-family or for-rent residential development experience

·      Experience leading ERP transitions or system integrations

·      Applied knowledge of predictive analytics and automation in construction

·      Ability to communicate complex technical concepts to non-technical stakeholders

IDEAL CANDIDATE PROFILE

·      Deeply grounded in real estate development and construction

·      Business-first mindset with strong technical execution

·      Focused on measurable ROI, efficiency, and cost savings

·      Disciplined, pragmatic, and trustworthy with sensitive data

·      Comfortable building foundational systems before scaling AI initiatives

Key Responsibilities:

• Design and deploy observability frameworks leveraging tools such as Grafana, Dynatrace, Prometheus, ELK, Splunk, etc. Define best practices for monitoring, alerting, and visualization across hybrid and multi-cloud environments.
• Develop strategies for monitoring KPIs tied to business outcomes (e.g., sales performance, supply chain efficiency, customer experience).
• Collaborate with business and IT teams to identify key metrics and integrate them into dashboards and alerting systems.
• Implement AIOps solutions using industry-leading platforms like OpenAI, AWS Bedrock, Google Gemini, Anthropic, and similar technologies.
• Develop predictive analytics and anomaly detection models to proactively identify and resolve operational issues.
• Integrate observability tools with ITSM platforms and automation workflows. Enable automated root cause analysis and remediation using AI/ML models.
• Provide observability strategies for infrastructure (servers, storage, cloud), applications (microservices, APIs), and networks (LAN/WAN, SD-WAN). Collaborate with DevOps, SRE, and IT operations teams to ensure end-to-end visibility and reliability.
• Establish observability standards, KPIs, and SLAs for performance and availability. Ensure compliance with security and regulatory requirements in monitoring solutions.
• Develop scalable architecture using LLMs, agentic frameworks, and multi-modal AI technologies.
• Build AI-powered analytics platforms for IT operations analysis, anomaly detection, and predictive insights.
• Architect and deploy intelligent chatbots for IT support and self-service capabilities.
• Integrate AI solutions with existing IT operations tools and workflows.
• Implement automated remediation and root cause analysis using AI/ML models.

Qualifications:

• 10-13 years of relevant experience
• Hands-on experience with Grafana, Dynatrace, and other monitoring platforms.
• Practical experience implementing AI-based solutions for anomaly detection, predictive maintenance, and automated remediation. Familiarity with OpenAI, Bedrock, Gemini, Anthropic, or similar AI platforms.
• Strong understanding of infrastructure, application architectures, and networking. Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes).
• Proficiency in Python, Bash, or similar scripting languages for automation and integration.
• Strong experience with LLMs (OpenAI, Anthropic, Gemini, Bedrock) and agentic AI solutions.
• Hands-on experience in designing AI architectures for enterprise IT environments.
• Proficiency in Python or similar languages for AI model integration and automation.

Job Summary
HellermannTyton North America (HT NA) is accelerating the use of Artificial Intelligence to unlock capacity, improve quality, and fuel growth across North America. As the AI Program Manager, you will build and run a program of AI initiatives that create efficiencies by automating repetitive tasks and removing process waste. You will partner with Operations, Sales, Marketing, IT, HR, and Finance to select the right problems, deliver measurable outcomes quickly, and scale wins across plant sites to increase revenue, reduce cost, and eliminate waste. This will be achieved while maintaining HellermannTyton's Quality and EHS certifications by supporting all corporate policies, procedures, work instructions, and required documentation.

What You'll Do

Opportunity Discovery

• 
  
  
• Conduct stakeholder interviews to capture business objectives and constraints; translate high-level goals into clear, actionable AI project requirements.
  
  
• Build simple business cases with the respective departments; baseline current performance, and quantify benefits
  
  

Program Management

• 
  
  
• Work with Business Stakeholders to prioritize initiatives by value, impact, labor hour avoidance, and risk mitigation.
  
  
• Prioritize AI program and project roadmap into short, iterative deliverables; prioritize delivery based on business impact and feasibility.
  
  
• Run stage-gated delivery (scope pilot scale) aligned to HellermannTyton COE project governance; set decision forums, risk controls, and incremental results.
  
  
• Work with Business and IT to develop data and IT infrastructure and tools to support AI program roadmap.
  
  

Delivery

• 
  
  
• Ensure ownership of agents and AI workflows are transitioned to business stakeholders within the business.
  
  
• Engage with change management to ensure AI projects are accepted, and AI becomes integrated into processes such that AI becomes "the way we work."
  
  
• Make value visible and auditable. Track and report on program benefit metrics such as savings, improved experience, reduced waste, efficiency improvements, etc.
  
  
• Share AI knowledge to upskill the organization. Coach stakeholders to see AI use cases in the processes.
  
  

Governance

• 
  
  
• Partner with Legal/HR on data privacy and AI use policies.
  
  
• Ensure solutions comply with IT corporate cybersecurity and risk guidelines.
  
  

Success in this role will require:

• 
  
  
• Collaboration & Communication
  
  
• Adaptability
  
  
• Problem Solving
  
  
• Analytical Thinking
  
  
• Business Acumen
  
  

What You'll Bring

• 
  
  
• Bachelor's degree in Project/Program Management, Engineering, Manufacturing, Computer Science, Data/Analytics, or related field.
  
  
• 3+ years leading data/AI/automation programs with manufacturing operations; proven track record delivering hard dollar benefits and labor hour avoidance.
  
  
• Mastery of program management (business cases, roadmaps, stage gates, financials).
  
  
• Excellent stakeholder communication and leadership across Operations, Sales, Marketing, IT, HR, and Finance.
  
  

Preferred Qualifications

• 
  
  
• Background manufacturing or associated environments.
  
  
• Lean / Six Sigma certification; experience embedding AI within continuous improvement programs.
  
  
• Experience with AI Tools (MS CoPilot Studio, MS Fabric, MS Azure Foundry)
  
  

By applying for a position with HellermannTyton, you understand that should you be made an offer, it will be contingent on your undergoing and successfully completing a background check through the use of our 3rd party supplier. Background checks may include some or all of the following based on the nature of the position: SSN/SIN validation, education verification, employment verification, criminal check, driving history, and drug test. You will be notified during the hiring process of which checks are required by the position.

HellermannTyton Corporation is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Why Zensar?

We’re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we’re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships with our clients and with each other—and happiness is at the core of everything we do. In fact, we’re so into happiness that we’ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We’ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition—grow, own, achieve, learn (GOAL)—lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar’s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar!

QA / Quality Engineering Delivery Lead

Location: Secaucus, NJ (Hybrid – 3 days onsite)

Employment Type: Full-time / Contract

Experience: 12–15 years

Domain: Retail

Role Overview

We are seeking a QA / Quality Engineering Delivery Lead to own end-to-end quality delivery while driving QE transformation and modernization initiatives, including AI-augmented testing and intelligent automation frameworks. This role demands a tool-agnostic automation mindset, strong leadership capabilities, and the ability to balance BAU delivery with future-ready QE transformation, leveraging GPT-based testing and AI-led quality practices.

Key Responsibilities:

• Own quality outcomes across programs, releases, and product lines
• Lead day-to-day BAU QA delivery, including:
• Test planning & execution
• Defect management
• Release validation and go/no-go readiness
• Drive QE assessments and build continuous improvement & transformation roadmaps
• Define and execute modern test automation strategies across:
• UI, API, Mobile, and End-to-End (E2E) automation
• Lead AI-augmented testing initiatives, including:
• GPT/LLM-based test case generation
• Intelligent test design and risk-based testing
• Self-healing automation and test optimization
• Promote shift-left and shift-right testing by partnering with:
• Product Management
• Engineering
• DevOps and SRE teams
• Embed quality early in the SDLC through CI/CD and cloud-native testing
• Establish and track quality metrics, KPIs, and dashboards
• Provide clear visibility into quality status, risks, and dependencies for senior stakeholders
• Mentor QA/QE teams and foster a continuous improvement and innovation culture.

Required Skills & Experience

Must Have

• 10–14 years of experience in QA / Quality Engineering
• Proven leadership experience managing QA/QE teams in Agile & DevOps environments
• Strong hands-on expertise in test automation frameworks, including:
• Selenium, Playwright, Cypress (any one or more)
• Exposure to Tricentis Tosca (preferred but not mandatory)
• Solid experience in:
• API & integration testing
• Test data management
• Defect lifecycle management
• Demonstrated experience conducting:
• QE maturity assessments
• Automation ROI analysis
• QE transformation planning
• Ability to manage BAU delivery alongside modernization and innovation initiatives
• Strong Retail domain experience (POS, eCommerce, supply chain, merchandising systems preferred)

AI-Augmented & Intelligent QE (Mandatory Focus)

• Hands-on or leadership experience with AI-driven QE practices, including:
• GPT / LLM-based test case & test scenario generation
• AI-assisted exploratory testing
• Intelligent test selection, prioritization, and impact analysis
• Experience building or adopting intelligent automation frameworks with:
• Self-healing capabilities
• Dynamic locators & adaptive scripts
• Familiarity with:
• Generative AI usage in QE pipelines
• Prompt engineering for test generation
• Ability to operationalize AI in QE, not just PoCs

Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired.

All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions.

Zensar values your privacy. We’ll use your data in accordance with our privacy statement located at:

We’re hiring a B2B SaaS Account Executive to drive growth for our AI-powered solutions used by growing and enterprise businesses.

As an Account Executive at Commercient, you’ll own the full sales cycle for our AI automation and chatbot solutions, from prospecting and demos to closing complex B2B SaaS deals. You’ll work directly with customers to understand real business problems and translate cutting-edge AI—LLMs, intelligent automation, and ERP–CRM integrations—into practical, high-impact outcomes. This is a SaaS sales role for someone excited to sell sophisticated AI technology, engage senior stakeholders, and help shape the next generation of AI-driven sales motions.

At Commercient, you’ll own the full sales cycle, working directly with decision-makers to understand business challenges and position high-impact solutions that combine ERP, CRM, and AI capabilities.

Location: Atlanta (Hybrid)/US (remote)

What You’ll Do

As our Sales Representative, you’ll be on the front lines driving our growth:

• Prospect, pitch, and close deals for our AI technology solution such as our chatbot
• Build and nurture strong client relationships with Salesforce, HubSpot, Zoho, etc.
• Represent Commercient at meetings, demos, and events across the US
• Gather insights from the market to help shape our product and sales strategy
• Hit and exceed sales targets while growing your career in a fast-moving company
• Travel to several conferences per year in the US

Who You Are

• Sales hunter with a passion for building relationships and closing deals
• Energetic, ambitious, and motivated by results
• AI enthusiast who likes to learn about AI and stays current with the trends
• Comfortable meeting clients and thriving in a dynamic, less-structured environment
• Bachelor’s degree or equivalent experience in Sales, Business Development, or related fields (optional if you have killer sales results!)
• 3-7 years of experience in SaaS or AI solution sales (ERP, CRM, or automation experience strongly preferred)
• Familiarity with Salesforce, HubSpot, or ERP ecosystems
• Understanding of AI chatbots, RAG systems, or natural language interfaces (bonus if you can explain GPT, embeddings, or vector databases in plain English)
• Consultative, high-EQ selling style with technical curiosity
• Comfortable engaging at C-level and VP-level
• Self-starter with strong pipeline discipline and storytelling ability
• Excited about shaping a next-generation AI sales motion
• Experience with any Chatbot or LLM tech stack: Google Gemini, Google AI Studio, Open AI, Liveperson, Drift chat, Microsoft Copilot, Agents, Agentforce, HubSpot AI, Support desk or Helpdesk AI assistants, Slack AI assistants, etc.
• Comfortable working independently in a remote team environment
• Applicants must have near-native English proficiency. A short written and verbal English evaluation will be part of the selection process.

Not for you if: you dislike rejection or ambitious goals.

Why Join Us?

• Be a key player in our expansion — your impact is direct and visible
• Work closely with founders and an international team
• Learn and grow in a tech-driven, fast-moving environment
• We have an engaging, collaborative culture focused on succeeding together

Compensation & Perks

• Competitive base starting at $55k (based on experience) + commission — uncapped, performance-driven commissions per annual On Target Earnings (OTE)
• Our compensation plan creates a space for you to be in control of what you make. The base is a great start, but uncapped commission is accessible your entire career with us (your base and commission will increase as you grow with the company).
• Comprehensive Benefits Package
• 401k program with generous company match
• PTO
• Hybrid role based in Atlanta, GA with fully remote option for US-based candidates

About Commercient

Commercient helps growing companies streamline Sales, Marketing, and Customer Service by seamlessly connecting ERP and CRM systems through our AI-driven integration platform. Over 50,000 users rely on Commercient SYNC daily to automate key business processes—sales, billing, invoicing, and payments—across top CRMs like Salesforce, HubSpot, and Microsoft Dynamics. We’re an innovative, global SaaS company with 20+ years of experience and customers in 1,000+ organizations worldwide.

Why Work With Us

• Work remotely with a diverse, supportive, and fun global team
• Be part of an innovative company that embraces cutting-edge technology
• Enjoy learning and development opportunities to grow your career
• Flexible work-life balance and an environment where ideas thrive

Ready to join an innovative team building the world’s leading ERP–CRM integration platform? Apply today and grow your career with Commercient.