Gpt Models Jobs in Usa

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Boeing Defense, Space & Security (BDS) is seeking a Senior Systems Health & Integrated Diagnostics Engineer (Level 5) to join the Reliability, Maintainability & System Health team in Berkeley, MO.

You will lead the development, integration, verification, and delivery of System Health models and comprehensive health-management capabilities that ensure safe and reliable mission execution. This role encompasses systems engineering, RAM (reliability, availability, and maintainability) modeling, supplier collaboration, and cross-disciplinary leadership.

Position Responsibilities

• Lead the technical team to design, develop, test, and deliver Integrated Health Management (IHM) and System Health models using Reliability, Availability, Maintainability & Cost (RAMC) tools and best practices.
• Translate customer requirements into compliant system-level health architectures and verification plans.
• Drive systems-of-systems trades and analyses to optimize system health, reliability, maintainability, availability and lifecycle cost.
• Coordinate and verify supplier deliverables (models, test evidence, requirements traceability) and lead supplier technical reviews.
• Collaborate closely with hardware, software, diagnostics, and avionics integration teams to ensure consistent system health implementation.
• Define, manage and validate requirements; create and maintain requirements traceability, risk and opportunity registers, and test strategies.
• Plan and execute validation & verification (V&V) activities for internal, supplier, and contract/product specifications.
• Provide subject matter expertise and technical support to MQ-25 and other Air Dominance programs on health management topics.
• Mentor and develop team members; communicate technical progress and risks to program leadership and customers.

Travel may be required up to 10% of the time; Domestically and/or internationally depending on business needs.

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required

Basic Qualifications (Required Skills/Experience)

• Bachelor of Science degree from an accredited course of study in engineering, engineering technology (including manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science
• 14+ years related work experience or an equivalent combination of technical education and experience
• 3+ years’ experience with cross-functional leadership, collaborative problem solving, building lasting relationships & proficiency in written and verbal communication

Preferred Qualifications (Desired Skills/Experience)

• Hands-on experience with health modeling and integrated diagnostics approaches and tools.
• Strong systems engineering skills: requirements development/management, V&V, and trades analysis.
• Direct aircraft maintenance or sustainment experience.
• Familiarity with RAMC toolset and related reliability modeling packages.
• Experience with FMECA (Failure Modes, Effects & Criticality Analysis).
• Demonstrated experience in Reliability, Maintainability, and System Health engineering.

Conflict of Interest

Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.

Drug Free Workplace

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Employee Referral

Referral to this job is eligible for bonus to qualifying candidates.

Total Rewards

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features:

• Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting
• Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts.

Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $164,900 – $223,100

Applications for this position will be accepted until Apr. 01, 2026

Education

Bachelor's Degree or Equivalent Required

Relocation

This position offers relocation based on candidate eligibility.

Security Clearance

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Top Secret Clearance Post-Start is required.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Staff Data Scientist – Post Sales

Location: San Francisco (Hybrid)

Salary: $200–250k base + RSUs

This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re expanding our data science organization to accelerate customer success after the initial sale—driving onboarding, retention, expansion, and long-term revenue growth.

About the Role

As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention.

Key Responsibilities

• Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring.
• Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value.
• Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion.
• Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn.
• Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals.
• Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.
• Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions.

About You

• Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment.
• Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning.
• Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring.
• Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy.
• Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders.
• Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.

Our client, a Fortune 500 retail organization with a nationwide distribution network, is seeking a Strategic Sourcing Manager to support large-scale construction and facilities engineering procurement initiatives across their supply chain network.

This role plays a key part in sourcing industrial construction materials, equipment, and services for new facility builds, expansions, and ongoing engineering initiatives. The individual will partner closely with engineering, property development, legal, finance, and operations teams to design sourcing strategies that deliver cost efficiency, risk mitigation, and supplier performance improvements.

The ideal candidate will bring deep expertise in construction procurement, contract negotiation, and cost modeling, with the ability to influence stakeholders and drive complex sourcing projects from concept through execution.

Projects You’ll Work On

• Leading end-to-end strategic sourcing initiatives for industrial construction and facilities engineering categories.
• Developing sourcing strategies for categories such as steel structures, concrete, MEP systems, material handling equipment, racking systems, conveyors, and site services.
• Managing the full sourcing lifecycle including market research, supplier identification, RFP development, bid management, negotiations, and contract execution.
• Conducting construction cost analysis, clean-sheet modeling, and should-cost modeling to identify optimal pricing and savings opportunities.
• Partnering with engineering and development teams to support distribution center construction, expansions, and infrastructure upgrades.
• Managing supplier relationships and performance through KPIs, quarterly business reviews (QBRs), and executive-level supplier meetings.
• Performing spend analysis and market intelligence research to anticipate supply risks and pricing fluctuations.
• Driving cost optimization through value engineering, competitive bidding, and strategic negotiations.
• Supporting facilities engineering teams with sourcing for material handling equipment repair, refurbishment, and replacement.
• Developing presentations and recommendations for executive leadership to support strategic sourcing decisions.

What Experience You Should Bring

• Bachelor’s degree in Supply Chain, Construction Management, Engineering, Finance, Economics, or Business (MBA or advanced degree preferred).
• 5+ years of strategic sourcing or category management experience focused on industrial construction or facilities engineering procurement.
• Experience managing large-scale sourcing projects for construction materials, contractors, or engineering services.
• Strong understanding of construction cost estimation, budgeting, and material cost drivers.
• Experience leading RFP/RFQ processes, supplier negotiations, and contract development.
• Ability to analyze supplier bids using TCO modeling, cost analysis, and financial modeling.
• Experience working cross-functionally with engineering, legal, finance, and project management teams.

What Will Help You Stand Out

• Familiarity with distribution center construction, logistics infrastructure, or retail supply chain environments.
• Experience working with construction management software (e.g., Procore) and sourcing platforms (e.g., Coupa).
• Knowledge of regulatory frameworks such as OSHA, LEED, and construction compliance standards.
• Professional certifications such as CPSM, CCM, or CCPS.
• Strong financial acumen including experience analyzing budgets, cash flow, and cost structures.
• Advanced Excel skills (pivot tables, VLOOKUPs, data modeling) and strong presentation capabilities.

Work Environment

• Hybrid role with regular in-office collaboration and occasional travel to facilities and project sites.
• Ability to manage multiple sourcing projects simultaneously in a fast-paced, cross-functional environment.

Compensation & Benefits

The base salary range for this position is up to $200,000.00, depending on experience and qualifications.

The total rewards package may include performance incentives, health benefits, retirement plans, and professional development opportunities.

The opportunity

Unity's Vector AI team sits at the intersection of large-scale machine learning and real-world impact: our models govern ad ranking and bidding decisions across billions of daily impressions. Get the models right so players can discover games they love.

We're looking for an Applied Scientist with experience on user understanding, sequence modeling, and/or conversion prediction.

What you'll be doing

• Design and ship user behavior models that directly influence ad ranking, bidding, and conversion outcomes across billions of impressions.
• Own model quality from deployment onward: calibration, drift detection, and feedback loop management.
• Shape how the team builds, contributing to long-term technical strategy and overseeing engineering execution.
• Bridge the gap between ML complexity and business reality, communicating clearly with non-technical partners.

What we're looking for

• Ph.D. in Computer Science, Machine Learning, Statistics, related fields, or equivalent practical experience.
• 2+ years of hands-on experience designing, building, and operating ML systems at scale in ads, search, recommendations, or related domains.
• Deep familiarity with at least one of: CVR/CTR prediction, auction theory, user modeling, or sequential recommendation.
• Production experience in Python and at least one systems language (Go, Scala, C++, or similar).
• Significant experience in one or more general-purpose programming languages like Python, Go, Scala, C++ or similar.
• Knowledge of metric design, experimentation methodologies, and large-scale data.

You might also have

• Experience with real-time bidding systems, auction dynamics, or marketplace optimization.
• Publications or patents in relevant areas.

Additional information

Relocation support is not available for this position

Benefits

At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at

Senior Platform Architect

Reports To: Director of Engineering

Department: Engineering

Location: Hybrid - Atlanta, GA

What makes MTech different:

Purpose-Driven Work – Build technology that solves real problems for the world

Casual & Collaborative – No corporate bureaucracy, direct access to senior leadership

Innovation-Focused – Healthy innovation pipeline expanding into new segments and technologies

Transparent & Data-Driven – Clear metrics, objectives, and visibility into company performance

Modern Development – Robust development tools, training programs, and technical excellence

Flexibility & Balance – Flexible work environment that values results over presenteeism

Job Summary

The Senior Platform Architect will lead the technical architecture, design, and modernization of large-scale, multi-tenant enterprise SaaS platforms built on Azure and the .NET stack. This role requires mastery of distributed systems, cloud-native design, and advanced engineering practices to deliver highly available, performant, and secure solutions for global consumer-facing SaaS and Agentic AI products.

Responsibilities and Duties

Architectural Design & Transformation

• Lead migration from monolithic systems to modular monolith and microservices architectures using domain-driven design, bounded contexts, and decomposition strategies.
• Design multi-tenant SaaS platforms with advanced tenant isolation, resource partitioning, and elastic scaling using Azure services.
• Define and enforce architectural standards for .NET (C#), TypeScript, Angular, SQL Server, and Azure, including dependency injection, SOLID principles, asynchronous programming, and reactive patterns.
• Design and implement distributed systems: service orchestration, API gateway management, IoT, edge computing, distributed transactions, eventual consistency, CQRS, and event sourcing.
• Architect for cloud-native resiliency: circuit breakers, bulkheads, retries, failover, geo-redundancy, and disaster recovery using Azure App Services, Azure Functions, Service Bus, Cosmos DB, and Azure SQL.
• Develop and maintain architecture documentation, reference models, and decision records using industry frameworks (TOGAF, Zachman, C4 Model).

Performance Engineering & Observability

• Establish and monitor platform SLOs (latency, throughput, error rates, availability) mapped to customer SLAs.
• Architect and implement advanced caching strategies, indexing, and query optimization for SQL Server and NoSQL stores in coordination with Senior Data Architect, Data Engineers, and Database Admins.
• Design and implement telemetry pipelines: distributed tracing (OpenTelemetry), structured logging, metrics collection, and real-time dashboards for system health and diagnostics.
• Conduct performance profiling, load testing, and capacity planning for backend services and frontend applications.

Automation, Quality, and DevOps

• Architect and implement CI/CD pipelines with automated build, test, security scanning, and deployment workflows.
• Integrate static code analysis, code coverage, and quality gates into the development lifecycle.
• Design and enforce automated testing strategies: unit, integration, contract, and end-to-end tests for backend and frontend components.
• Develop infrastructure as code (IaC) solutions for repeatable, scalable cloud provisioning.
• Create incident response playbooks for rollback, failover, and recovery, drive down MTTR and automate remediation where possible.

Security, Compliance, and Governance

• Architect for multi-tenant security: authentication/authorization (OAuth2, OpenID Connect), encryption at rest and in transit, secrets management, and compliance with SOC 1, SOC 2, GDPR, and other regulatory standards.
• Implement secure software development lifecycle (SSDLC) practices, threat modeling, and vulnerability management, including ZDR, DLP, No Model Training policies with AI Models.
• Ensure architectural governance and alignment with enterprise frameworks (TOGAF, Zachman), maintain architecture decision records, and participate in architecture review boards.

Technical Leadership & Collaboration

• Mentor engineering teams in advanced architectural concepts, distributed systems, cloud-native development, and best practices.
• Collaborate with Data Architect, DevOps, IT Services, Engineering and Product Management teams to ensure platform extensibility, integration, and support for complex business requirements.
• Evaluate and integrate AI/ML services, advanced analytics, and developer productivity tools to enhance platform capabilities.
• Champion a culture of technical excellence, continuous improvement, and innovation.

Required Experience & Skills

• Minimum 10+ years in software/platform engineering, with at least 8 years in platform architecture for enterprise SaaS on Azure and .NET tech stack.
• Proven experience architecting and delivering large-scale, multi-tenant SaaS platforms for global consumer-facing products.
• Deep expertise in .NET (C#), Azure cloud services (App Services, Functions, Service Bus, Cosmos DB, SQL Server), Azure Open AI, Microsoft Agent Framework, TypeScript, Angular, CI/CD, automated testing, and observability.
• Mastery of distributed systems, cloud-native patterns, event-driven architectures, and microservices.
• Demonstrated success in technical debt reduction, performance engineering, and architectural modernization.
• Experience with architectural frameworks (TOGAF, Zachman, C4 Model), architectural governance, and compliance.
• Strong understanding of platform security, regulatory compliance, and multi-tenant SaaS challenges.

Success Metrics (First 12 Months)

• Reduction in platform-related incidents/support tickets.
• Improvement in deployment speed and release velocity.
• Reduction in MTTR for platform incidents.
• Achievement of modularization milestones (monolith decomposition, service rollout, platform observability in production).
• Increase in automated test coverage, code quality, and system performance metrics.

Preferred Skills & Certifications

• TOGAF, Zachman, or similar architecture certification.
• Advanced knowledge of event sourcing, CQRS, service mesh, and cloud-native security.
• Familiarity with semantic technologies, knowledge graphs, and AI/ML integration.
• Hands-on experience with infrastructure as code, automated testing tools, and modern DevOps practices.
• Strong background in platform security, compliance, and multi-tenant SaaS challenges.

EEO Statement

Integrated into our shared values is MTech’s commitment to diversity and equal employment opportunity. All qualified applicants will receive consideration for employment without regard to sex, age, race, color, creed, religion, national origin, disability, sexual orientation, gender identity, veteran status, military service, genetic information, or any other characteristic or conduct protected by law. MTech aims to maintain a global inclusive workplace where every person is regarded fairly, appreciated for their uniqueness, advanced according to their accomplishments, and encouraged to fulfill their highest potential. We

The pay range for this role is $150,000 - $200,000/yr USD.

WHO WE ARE:

Headquartered in Southern California, Skechers—the Comfort Technology Company®—has spent over 30 years helping men, women, and kids everywhere look and feel good. Comfort innovation is at the core of everything we do, driving the development of stylish, high-quality products at a great value. From our diverse footwear collections to our expanding range of apparel and accessories, Skechers is a complete lifestyle brand.

ABOUT THE ROLE:

Skechers Digital Team is seeking a Digital Data Architect reporting to the Director, Digital Architecture, Consumer Domain. This role is responsible for designing and governing Skechers’ Consumer Data 360 ecosystem, enabling identity resolution, high-quality data foundations, personalization, loyalty intelligence, and machine learning capabilities across digital and retail channels.

The ideal candidate will be a strong technical leader, have hands-on full-stack technical knowledge in enterprise technologies related to Skecher’s consumer domain, and have the ability to work in a fast-paced agile environment. You should have knowledge of consumer programs from an architecture/industry perspective, and you should have strong hands-on experience designing solutions on the Salesforce Core Platform (including configuration, integration, and data model best practices).

You will work cross-functionally with Digital Engineering, Data Engineering, Data Science, Loyalty, and Marketing teams to architect scalable, secure, and high-performance data platforms that support advanced personalization and recommender systems.

WHAT YOU’LL DO:

• Responsible for the full technical life cycle of consumer platform capabilities which includes:
• Capability roadmap and technical architecture in alignment to consumer experience
• Technical planning, design, and execution
• Operations, analytics/reporting, and adoption
• Define and evolve Skechers’ Consumer Data 360 architecture, including identity resolution (deterministic and probabilistic matching) and unified customer profiles.
• Architect scalable data models and pipelines across CDP, CRM, e-commerce, marketing automation, data lake, and warehouse platforms.
• Establish enterprise data quality frameworks including validation, deduplication, anomaly detection, and observability.
• Optimize SQL workloads and large-scale distributed queries through performance tuning, partitioning, indexing, and workload management strategies.
• Design and oversee ML pipelines supporting personalization, churn modeling, and recommender systems.
• Partner with Data Science teams to productionize models using distributed platforms such as Databricks (Spark, Delta Lake, MLflow preferred).
• Ensure secure data governance, access control (RBAC/ABAC), and compliance with GDPR, CCPA, and related privacy regulations.
• Provide architectural oversight ensuring performance, scalability, resilience, and maintainability.
• Collaborate with stakeholders to translate business objectives (LTV growth, personalization lift, engagement) into scalable data solutions.

REQUIREMENTS:

• Computer Science, Data Engineering, or related degree or equivalent experience.
• 12+ years experience architecting enterprise data platforms in cloud environments.
• 9+ years experience with data engineering with a focus on consumer data.
• 6+ years experience working with Salesforce platforms, including data models and enterprise integrations.
• Strong experience with Data 360 and identity resolution architectures.
• Proven expertise in SQL performance tuning and large-scale data modeling.
• Hands-on experience implementing ML pipelines and recommender systems in production environments.
• Experience with cloud technologies (AWS, GCP, or Azure).
• Experience with integration patterns (API, ETL, event streaming).
• Experience providing technical leadership and guidance across multiple projects and development teams.
• Experience translating business requirements into detailed technical specifications and working with development teams through implementation, including issue resolution and stakeholder communication.
• Strong project management skills including scope assessment, estimation, and clear technical communication with both business users and technical teams.
• Must hold at least one of the following Salesforce Certifications (Platform App Builder, Platform Developer 1, JavaScript Developer 1).
• Experience with Databricks or similar distributed data/ML platforms preferred.

HNM Systems is the leading tech-enabled professional services provider, shaping the workforce across the telecom, energy, and technology sectors. We connect top specialized talent with direct hire, contract-to-hire, and consulting opportunities that drive fiber expansion, digital infrastructure, wireless networks, and smart grid energy solutions. Our innovative approach delivers high-impact workforce development and consulting outcomes, with a 94% success rate in talent placement and project execution.

Relentlessly people-driven, HNM Systems sets the industry standard through an unwavering commitment to exceptional employee experience—establishing a trusted “home base” for our consultants and long-term value for our clients.

We are partnered with Verita, private equity-backed, international engineering and construction services company operating in both Europe and the USA in the telecommunications and energy sectors. In the US they serve their strategic customers nationwide from operations centers distributed throughout the Midwest, Mid-Atlantic, and Northeast. Verita has built a strong track record of consistently delivering high-quality projects, addressing complex technical challenges, and upholding the highest safety and quality standards.

Role Overview:

The Corporate Development Manager oversees the end-to-end acquisition process for Verita's Group in the United States. This role focuses on identifying and evaluating acquisition opportunities, conducting rigorous financial and strategic analysis, and leading transactions from initial screening through closing and integration planning.

The ideal candidate brings a strong foundation in the investment community—such as investment banking, private equity, or transaction advisory (Big 4 preferred)—with demonstrated expertise in financial modeling, valuation, and investment committee preparation. This individual partners closely with executive leadership and the private equity sponsor to ensure acquisitions are strategically aligned, financially sound, and executable. We may also consider candidates in Plymouth, MI (relocation costs negotiable).

Core Responsibilities

1. Target Identification & Pipeline Development

• Maintain knowledge of industry trends and competitive M&A activity in the energy and telecom infrastructure space.
• Develop and maintain a prioritized acquisition pipeline aligned to platform strategy (geography, service lines, revenue size, margin profile).
• Conduct industry mapping and competitive landscape analysis.
• Perform preliminary financial and strategic screening of targets.
• Develop LOI

2. Financial Modeling & Valuation

• Build detailed three-statement financial models for standalone targets and combined pro forma entities
• Determine and apply appropriate valuation methodologies (EBITDA multiples, revenue multiples, precedent transactions, DCF as applicable).
• Develop synergy forecasts (cost and revenue) and integration assumptions.
• Perform return analyses (IRR, MOIC, accretion/dilution).

3. Investment Committee Preparation

• Prepare executive- and board-level materials outlining:
• Strategic rationale
• Historical and projected financial performance
• Risk assessment
• Valuation and transaction structure
• Integration roadmap
• Present findings to senior leadership and private equity sponsor.

4. Due Diligence & Transaction Management

• Lead financial and operational diligence processes.
• Prepare LOI and support in preparation of SPA and other legal documents.
• Coordinate third-party advisors (accounting, legal, tax, insurance, QoE providers).
• -Collaborate with internal stakeholders (finance, legal, operations, technical) and external advisors.
• Manage diligence trackers, data rooms, and transaction timelines.
• Identify transaction risks and recommend mitigation strategies.

5. Post-Close Integration Modeling & Performance Tracking

• Translate underwriting assumptions into measurable post-close KPIs.
• Track synergy realization and performance relative to pro forma forecasts.
• Support executive team in reporting performance to the private equity sponsor.

Candidate Profile

Experience

• 5 years in Investment Banking, Private Equity, Corporate Development, Transaction Advisory or top tier strategy consultancy.
• Strong background in building and owning financial models independently.
• Experience preparing investment or credit committee materials.
• Knowledge of the energy or telecom infrastructure markets in US preferred.

Technical Competencies

• Advanced financial modeling (3-statement, LBO, pro forma consolidations).
• Deep understanding of valuation frameworks and capital structures.
• Ability to assess operational drivers relevant to construction businesses (backlog, project margins, labor productivity, bonding capacity).
• Familiarity with quality of earnings analysis and structured diligence processes.

Personal Attributes

• Analytical and detail-oriented.
• Organized, self-driven and capable of managing multiple concurrent workstreams.
• Effective communicator with the ability to translate financial analysis into strategic insights.
• Comfortable working directly with executive leadership and private equity sponsors

Why join the team

• Play a central role in building a scaled U.S. telecom and energy infrastructure platform backed by a global industry leader and private equity sponsor.
• Lead acquisitions in high-growth sectors including Fiber-to-the-Home (FTTH), hyperscale data center infrastructure, and grid modernization.
• Shape the expansion strategy of a newly formed U.S. platform following a landmark cross-border acquisition.
• Gain direct exposure to C-suite leadership and investors while driving transactions that materially impact enterprise value.
• Join at a pivotal inflection point where consolidation, capital deployment, and infrastructure investment are accelerating nationwide.

The above statements are intended to describe the general nature and level of work being performed by the incumbent(s) of this job. They are not intended to be an exhaustive list of all responsibilities and activities required of the position. This job description is subject to revision, and it may be updated to reflect changes in the role or organization.

HNM Systems utilizes legally permissible drug and background checks as part of our screening process. Essential requirements of the position include eligibility to work for any U.S. employer without sponsorship now or in the future.

It is the policy of HNM Systems, Inc., to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information and/or marital status. HNM Systems, Inc is compliant with the Fair Chance Ordinance as applicable and will consider all qualified applications for employment.

About the Company

The company develops and manages AI computing infrastructure that enables the training and deployment of advanced language and multimodal models. Its architecture includes high-density cloud clusters, on-premises data centers, and proprietary chip technology optimized for next-generation AI tasks.

The company’s semiconductor division is creating Language Processing Units (LPUs), custom accelerators designed for ultra-efficient inference, low-latency token generation, and scalable fine-tuning. This innovation sets a new performance standard for large language and reasoning systems used across various industries.

Through direct partnerships with AI developers, research labs, and global enterprises, the company provides access to secure, high-performance compute infrastructure designed for reliability, transparency, and continuous optimization.

The Opportunity: Chief Revenue Officer

The company is seeking a Chief Revenue Officer (CRO) to oversee global commercial operations and expand revenue across enterprise, government, and research clients. The CRO will be responsible for establishing the company’s go-to-market strategy, revenue structure, and customer success systems within both infrastructure and chip divisions.

This position combines strategic revenue design with a deep understanding of AI hardware economics, compute allocation models, and long-horizon enterprise partnerships. The CRO will play a central role in building a global revenue organization capable of sustaining growth through multi-year infrastructure and co-development contracts.

Strategic Priorities

1. Commercial Growth and Revenue Architecture

• Build a global revenue model that aligns recurring compute utilization with long-term client engagements.
• Develop pricing and allocation frameworks for on-demand compute, dedicated clusters, and co-located hardware installations.
• Drive sustained ARR growth through enterprise subscriptions, chip licensing, and infrastructure partnerships.

2. Go-to-Market and Field Organization

• Lead global GTM strategy covering direct sales, partner programs, and vertical integration channels.
• Build regional teams focused on high-value sectors such as research, defense, autonomous systems, and generative AI.
• Establish operational standards for forecast accuracy, margin visibility, and deal lifecycle performance.

3. Partnership and Ecosystem Development

• Structure strategic collaborations with hyperscalers, model labs, and national research initiatives.
• Negotiate co-development and joint go-to-market agreements for LPUs and quantum-adjacent AI architectures.
• Represent the company in global forums related to AI infrastructure, chip innovation, and sustainable compute design.

4. Organizational Leadership

• Build a performance-driven revenue organization integrating sales, marketing, and customer operations.
• Define success metrics that link customer adoption, infrastructure utilization, and operational efficiency.
• Ensure commercial decisions align with engineering velocity and product reliability.

Candidate Profile

• Fifteen or more years in executive commercial leadership across AI infrastructure, semiconductors, or high-performance cloud systems.
• Proven record of scaling ARR above $500 million through multi-channel enterprise and strategic partner ecosystems.
• Strong understanding of compute infrastructure economics, chip manufacturing cycles, and large-model deployment frameworks.
• Experience leading revenue operations in hybrid environments combining cloud delivery and hardware distribution.
• Strategic capability in long-term contract negotiation, cost modeling, and go-to-market orchestration.
• Demonstrated success building high-caliber revenue organizations in technically complex markets.

Compensation and Structure

• Performance Incentive: Up to 150 percent of base salary tied to ARR, profitability, and infrastructure utilization
• Equity Participation: 2 to 4 percent fully diluted, aligned with multi-year enterprise growth
• Comprehensive global benefits, travel and relocation support, and executive performance programs

This role defines the commercial architecture of one of the most advanced companies in the field of artificial intelligence. The CRO will shape how AI computing becomes accessible, efficient, and sustainable across the global economy.

Must be based in Miami, FL and available to work on-site 3X per week.

We Are Lucky Strike Entertainment.

Bowling, Arcade, Family Entertainment Centers. One company. Twelve brands. A career built around unforgettable experiences. Hospitality at our core; we put people first by creating meaningful connections and delivering memorable experiences to every guest, every time.

The Senior Vice President of Revenue Management & Pricing will lead the development and execution of enterprise pricing and revenue optimization strategies across the organization’s portfolio of entertainment venues. This executive will be responsible for driving sustainable revenue growth and margin expansion through dynamic pricing, advanced analytics, and AI-powered pricing solutions that respond to real-time demand signals.

This role will oversee revenue management, pricing strategy, commercial analytics, and pricing technology to ensure the organization maximizes yield across dayparts, seasonal demand, and customer segments. The SVP will partner closely with Marketing, Finance, Operations, and Technology to build a sophisticated pricing ecosystem that leverages automation, machine learning, and predictive analytics to continuously optimize performance while delivering strong customer value and engagement.

What You’ll Do

Strategic Revenue & Pricing Leadership

• Design and implement a comprehensive revenue management and pricing strategy aligned with company goals for revenue growth, margin optimization, and guest value perception.
• Lead the evolution from static pricing to dynamic, demand-based pricing models that consider factors such as daypart, demand elasticity, seasonality, location performance, and customer segmentation.
• Establish pricing governance frameworks to guide promotional strategy, discount structures, and enterprise pricing policies.
• Develop testing and experimentation frameworks to continuously refine pricing strategies through data-driven insights.

AI-Driven Pricing & Technology Innovation

• Lead the implementation and optimization of AI-powered pricing solutions that leverage machine learning, predictive modeling, and real-time demand signals.
• Evaluate and deploy pricing technology platforms capable of automated price adjustments based on utilization, booking velocity, weather, competitive data, and historical trends.
• Partner with Product and Technology teams to integrate AI pricing capabilities with POS systems, reservation platforms, CRM systems, and loyalty platforms.
• Champion a data-first culture by embedding automation and advanced analytics into everyday pricing and revenue decisions.
• Ensure pricing systems are scalable, automated, and capable of adapting to rapidly changing demand conditions across all locations.

Analytics & Revenue Optimization

• Build and oversee advanced pricing models using statistical forecasting, machine learning, and predictive analytics.
• Monitor pricing performance against key metrics including revenue per location, yield per lane or experience, utilization rates, contribution margin, and customer lifetime value.
• Conduct competitive and market pricing analysis to ensure optimal positioning across markets.
• Partner with FP&A to forecast the financial impact of pricing strategies and track performance against revenue and margin targets.
• Lead commercial analytics initiatives to uncover insights across pricing, promotions, guest behavior, and market demand patterns.

Loyalty & Customer Value Programs

• Collaborate with Marketing and Customer Experience teams to align loyalty strategy with revenue management and pricing initiatives.
• Leverage loyalty and guest data to inform personalized pricing strategies, promotions, and targeted offers.
• Analyze loyalty program performance and customer engagement trends to improve retention, visitation frequency, and lifetime value.
• Integrate loyalty insights into dynamic pricing models to deliver value while maximizing revenue.

Operational Execution

• Partner with regional and location leadership to ensure pricing strategies are practical, executable, and aligned with local market dynamics.
• Ensure pricing strategies can be seamlessly deployed across all locations through centralized systems and automation.
• Establish operational processes for pricing updates, approvals, and exception management.
• Support field teams with clear communication, training, and tools to ensure consistent pricing execution.

Cross-Functional Collaboration

• Work closely with Marketing to align promotional strategies, campaigns, and offers with enterprise pricing strategy.
• Partner with Operations to ensure pricing models align with operational realities and guest experience expectations.
• Collaborate with Technology and Product teams on system requirements for pricing automation, forecasting tools, and advanced analytics.
• Provide executive leadership with insights on pricing trends, market conditions, and revenue optimization opportunities.

Leadership & Team Development

• Build and lead a high-performing team focused on revenue management, pricing strategy, and commercial analytics.
• Develop internal capabilities in advanced analytics, pricing science, and AI-enabled revenue optimization.
• Foster a culture of innovation, experimentation, and data-driven decision making across the organization.

What You’ll Bring

• 10+ years of experience in revenue management, pricing strategy, or commercial analytics roles within multi-location, consumer-facing industries such as hospitality, entertainment, travel, retail, or leisure.
• Proven track record designing and scaling dynamic pricing strategies across large multi-unit environments.
• Experience implementing AI-driven pricing platforms, predictive analytics tools, or automated revenue management systems.
• Strong analytical expertise in pricing optimization, demand forecasting, elasticity modeling, and customer segmentation.
• Demonstrated leadership experience building and managing high-performing teams.
• Ability to influence senior executives and collaborate cross-functionally with operations, finance, marketing, and technology leaders.
• Experience integrating pricing systems with POS platforms, CRM systems, loyalty platforms, and enterprise analytics tools.

Key Metrics of Success

• Revenue growth and margin expansion driven by pricing and revenue management strategies.
• Increased yield per location across peak and off-peak demand periods.
• Improved utilization through demand-based and AI-driven pricing optimization.
• Higher customer retention and engagement through personalized value-based pricing.
• Seamless deployment of pricing updates across all locations with minimal operational disruption.
• Development of a scalable, automated pricing infrastructure powered by advanced analytics and AI.

What You’ll Get

At Lucky Strike Entertainment, we’re committed to supporting your well-being both on and off the job. Here's a peek at some of the benefits available to our Corporate associates:

• Medical, Dental, Vision plans to select from based on your needs
• Wellness resources to help you along your wellness journey
• 401(K) Retirement Plans
• Employee Stock Purchase Program
• Employee Assistance Program (EAP)
• Vacation and Holidays
• Perks! Bowling, Boomer's, and Waterpark discounts, Retail discounts, Event discounts and more!

Position: Senior Associate Actuary

Location: Fairfield County, CT (Hybrid)

Salary: $140,000–$200,000 + Bonus

Actuarial Summary:

This exciting opportunity is designed for an actuarial professional with strong property and casualty experience seeking exposure to reserving, pricing analytics, and enterprise risk management within a collaborative and data-driven environment. The Associate Actuary will play a key role in supporting reserve reviews, pricing analyses, and capital modeling initiatives while leveraging advanced analytics and external market data to inform business decisions.

The position offers hands-on analytical responsibility, visibility with senior leadership, and the opportunity to contribute to strategic initiatives through actuarial insight, predictive modeling, and modern data tools.

Key Responsibilities & Qualifications:

Conduct quarterly reserve reviews and monitor portfolios of Workers’ Compensation claims, analyzing paid and incurred development patterns for medical, indemnity, and expense components

Analyze statistical data, claims experience, and market trends to support pricing strategies and develop premium and loss projections for financial and underwriting planning

Evaluate trends using external economic indicators including industry benchmarks, medical CPI indices, and wage data to enhance reserving accuracy

Assist in developing and enhancing actuarial tools and models to improve the efficiency and accuracy of reserving and pricing analyses

Develop and enhance reporting tools and analytics capabilities in partnership with data and operational reporting teams

Build and implement models leveraging large datasets, statistical methods, and predictive analytics to support business decision-making

Translate complex analytical findings into clear insights through business-friendly communication and data visualization tools

Support capital modeling initiatives and assist with enterprise risk management processes, including maintaining risk registers and monitoring emerging risks

Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a related field

ACAS preferred; candidates with significant progress toward ACAS (5+ CAS exams) will also be considered

5+ years of actuarial experience within the property and casualty insurance industry

3+ years of Workers’ Compensation experience strongly preferred

Experience with Power BI or similar data visualization tools preferred

Experience with Python, R, SQL, or similar programming tools for statistical analysis is a plus

Familiarity with machine learning or predictive modeling frameworks is a plus