Engineering Structures Jobs in Pitcairn, PA

111 positions found — Page 6

Engineer III
Salary not disclosed
Pittsburgh 1 week ago
Job Description: Engineer III Location: 2000 Commerce Drive.

Pittsburgh, PA
- onsite We are seeking an experienced Electrical Engineer III to lead complex engineering projects that directly support critical infrastructure operations.

This role is responsible for the design, implementation, and optimization of electrical systems and power distribution networks supporting pipelines, compressor stations, storage facilities, and related infrastructure.

The ideal candidate will bring strong technical expertise in power systems along with project leadership skills, collaborating cross-functionally to deliver innovative, safe, and cost-effective solutions.

Key Responsibilities: Design, implement, and optimize electrical systems and power distribution networks Support infrastructure such as pipelines, compressor stations, storage facilities, and related assets Integrate advanced technologies including automation, real-time monitoring, and energy storage systems Implement safety measures such as arc flash mitigation and fault detection systems Develop and review electrical schematics, system layouts, and design documentation Participate in engineering projects from concept through commissioning, ensuring alignment with budget and timelines Ensure compliance with NEC, NEMA, API, IEEE, and other applicable safety and regulatory standards Support procurement activities and vendor selection for electrical equipment Participate in commissioning, testing, and startup of electrical systems Required Qualifications: Bachelors Degree in Electrical Engineering (ABET accredited) OR Bachelors Degree in Engineering Technology (ABET accredited) with a Professional Engineer (P.E.) license and 4+ years of relevant engineering experience (natural gas, data centers, or related industries) Preferred Qualifications: Masters Degree in Electrical Engineering Professional Engineer (PE) license Experience with PLC and HMI systems Project Management experience Experience with Pre-FEED, FEED, or EPC project phases Knowledge of arc flash studies and mitigation strategies Additional Technical Requirements: Knowledge of power system analysis and simulation tools (ETAP, MATLAB, PSCAD, Simulink, or similar) Experience with high-voltage equipment, transformers, generators, and switchgear Understanding of grid integration and renewable energy systems Strong organizational, interpersonal, and communication skills Proficiency in Microsoft Office applications
Not Specified
Project Manager
Salary not disclosed
Pittsburgh, PA 1 week ago

About Eos Energy Enterprises

Eos Energy Enterprises, Inc. is accelerating the shift to American energy independence with positively ingenious solutions that transform how the world stores power. Our breakthrough Znyth™ aqueous zinc battery was designed to overcome the limitations of conventional lithium-ion technology. It is safe, scalable, efficient, sustainable, manufactured in the U.S., and the core of our innovative systems that today provides utility, industrial, and commercial customers with a proven, reliable energy storage alternative for 3 to 12-hour applications. Eos was founded in 2008 and is headquartered in Edison, New Jersey. For more information about Eos (NASDAQ: EOSE), visit .


Our Project Managers are responsible for facilitating and leading multi-functional project teams in the delivery of energy systems to customers, focused on enhancing the customer experience and providing full accountability for project budgets, schedules, project management and performance requirements.

Accountable for the overall management of each project from contract through installation and close-out. Ensure the projects are completed safely, within schedule and budget. Manage and communicate project changes internally & externally throughout to ensure business alignment & client satisfaction.

Responsibilities

  • Develop and maintain a detailed understanding of Eos products and related AC scope design & functionality.
  • Develop as a subject matter expert to manage all facets of the project.
  • Coordinate activities of all functions involved in the project including Manufacturing, Sourcing, Finance, Logistics, Legal, Field services & Quality.
  • Facilitate project schedules & resolve problems as necessary to deliver on customer expectations & contract requirements.
  • Develop, negotiate, and manage engineering and construction contracts including clearing defining scope, schedule, and cost management requirements.
  • Facilitate onsite installation & work closely with site engineers to ensure commissioning activities (installation, energization & start up) are a success.
  • Organize project meetings to effectively communicate relevant information and coordinate resources, including subcontractors.
  • Negotiate and approve selection of major contractors in collaboration with upper management.
  • Ensure payment and revenue milestones are met & invoices issued on time.
  • Work directly with finance on the preparation of financial plan.
  • Point person for stakeholder communication (internal & external).
  • Provide project reports to management per report out schedule.
  • Other duties as assigned

Knowledge, Skills, and Abilities

  • This position requires a positive, hands-on team-oriented individual.
  • Understanding and utilization of effective Project Management tools (MS Project) and thought process required in managing technologically complex projects.
  • General knowledge of construction sequencing and development of a safety culture
  • Ability to interact at all levels of the organization.
  • Ability to handle multiple priorities and demands in a fast-paced environment.
  • Demonstrated ability to develop and successfully implement strategies and manage change.
  • Strong team work ethic, excellent verbal and written communication skills
  • Ability to manage stressful situations to a positive outcome.
  • Ability to look ahead for barriers which may de-rail project, developing structures or means to resolve unforeseen problems.
  • Change & Change order management
  • Project Estimating


Education and Experience

  • Bachelor’s Degree or equivalent experience in Electrical Engineering, Project Management, Construction Management, or related field preferred.
  • Minimum five years project management experience.
  • Experience in a role that requires involvement and understanding of project management in the power industry and business initiatives including the introduction of new business processes a plus.
  • Experience with Utility, Renewables, Battery Storage, and Substation is preferred
  • Work is a mix of office and field base work; candidate must be physically able to visit customer and construction sites and review all potential and on-going work.
  • OSHA 10hr certification a plus.
  • PMP desired; PE, Lean, Six Sigma, a plus.


Multiple opportunities available and multiple levels of seniority are considered.


Schedule

Fully onsite for onboarding and first several weeks transitioning to hybrid schedule.

Travel

  • Overnight/North America: 10-25%
  • Other International Travel: 10-25%

Working Conditions

  • Office Environment - Must be able to remain in a stationary position 50% of the time and occasionally move about inside the office to access file cabinets, office machinery, etc. Required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. May be required to exert up to 25 pounds of force occasionally to lift, carry, push, pull or otherwise move objects, including the human body.
  • Customer/Partner Locations – Employee may visit customer or partner locations that may be comprised of office, manufacturing floor, laboratory environments and construction sites depending on the location and reason for visit.
Not Specified
AI Agentic Engineer
Salary not disclosed
Pittsburgh, PA 1 week ago

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.


Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 


Based in Pittsburgh, Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.


About the role:

We’re looking for a multi-disciplinary AI Engineer to design, implement, and deploy LLM-driven agents with strong backend and front-end integration. You’ll be leading efforts across LLM agent design, prompting, fine-tuning, and MLOps, while building real-world, production-grade applications with modern web technologies.


The ideal candidate combines a strong foundation in Python and AI with practical experience in agent frameworks like LangGraph, PydanticAI, and Google ADK, as well as FastAPI and front-end development.


What you’ll do:


LLM Agents & Prompt Engineering

  • Architect and implement LLM agents using frameworks like LangGraph, PydanticAI, and Google ADK.
  • Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor).
  • Integrate vector databases (e.g., FAISS, Pinecone, pgvector) and knowledge graphs (Neo4j) to support retrieval-augmented generation (RAG) and long-term chatbot memory.
  • Design and maintain high-quality prompt strategies for robustness and reliability.


FastAPI, Model Context Protocol (MCP) & Backend

  • Develop and maintain scalable APIs using FastAPI, supporting synchronous and asynchronous agent execution.
  • Integrate Model Context Protocol (MCP) to enable secure and structured access to external data and tools within agent workflows.
  • Implement state tracking, context-aware input dispatch, and modular plugin integration within the control plane.


Evaluation, Testing & Observability

  • Build unit and behavioral tests for agents, tools, and workflows.
  • Develop tooling for trace analysis, agent state debugging, and hallucination tracking.
  • Compare and benchmark agent orchestration frameworks for trade-offs in speed, reliability, and usability.


Model Fine-Tuning & MLOps

  • Fine-tune models using LoRA, QLoRA, or full fine-tuning pipelines.
  • Integrate, deploy, and monitor models in production using cloud providers.
  • Set up agent logging, observability dashboards, and recovery workflows.


Front-End & UX

  • Familiar with React, TypeScript, Next.js, or similar frameworks
  • Understanding of front-end and back-end integration for AI tools
  • Ability to build basic dashboards or agent interfaces
  • Integrate agents into interfaces
  • Speak the language of UI 


What we’re looking for:

  • 3+ years experience with Python in ML/AI systems and PyTorch or Tensorflow
  • 1+ years experience with LLM agent development, prompt engineering, and frameworks like
  • LangGraph, PydanticAI, and Google ADK.
  • Experience with fine-tuning LLMs.
  • Familiarity using vector stores like ChromaDB, Weaviate, or pgvector.
  • Production experience with FastAPI, Docker, and MLOps
  • Expert in Agentic Coding IDEs (Windsurf, Cursor or Claude Code)
  • Bachelor’s or Master's degree in computer science


Nice to have:

  • Open-source contributions to LLM/agent tooling
  • Knowledge of async programming, websockets, and streaming APIs


What we offer:

  • Competitive compensation and equity
  • Comprehensive benefits including medical, dental, vision, etc.
  • Unlimited and flexible PTO


Not Specified
Territory Account Manager (Electrical/Industrial)
Salary not disclosed
Pittsburgh, PA 1 week ago

Shermco Industries

Since 1974, Shermco has become North America’s largest and fastest growing NETA-accredited electrical testing organization. Our focus is to make sure electrical power systems are functioning properly and safely. Additionally, our Professional Engineering Group, Rotating Machinery Division, Renewable Energy Services, and Field Repair and local Repair Service Centers, places Shermco in a position to handle all things electrical, all done with an emphasis on safety and client service.


TERRITORY ACCOUNT MANAGER

Due to continued growth, we are seeking a Territory Account Manager. Shermco is ISO certified, a member of EASA, AWEA, PEARL and is accredited by NETA, PEV, SKF & ANAB. Shermco Industries is a founding member of NETA and has one of the largest field services divisions in the industry.


Minimum Qualifications

  • Bachelor's degree preferred or equivalent education & experience in Engineering or related field. This is desired, not required.
  • 3+ years of successful outside B2B sales experience, preferably in an engineering, industrial or heavy commercial industry. Preference given to candidates with a successful sales track record in a power related industry, preferably from the high-voltage (480 VAC to 345 kV) electrical equipment testing & maintenance industry, including electrical field Services, field commissioning & acceptance testing, engineering in general including Arc Flash, Coordination Studies, transient studies, load flow analysis and general power engineering, and small scale electrical T&D or Substations construction projects.
  • Demonstrated ability to be self-directed and highly motivated.
  • Availability to travel weekdays throughout the geographic account territory.
  • Strong interpersonal, communication, written and oral presentation skills and solid understanding of profitability and other financial measurements.
  • Strong sales skills including and effective negotiation skills, ability to successfully interact with key customer decision makers and influencers, and ability to prospect new customers and forecast future business.
  • Must be able to demonstrate technical knowledge and consultative skills.
  • Required overnight travel up to 20% of the time.
  • Basic computer skills with the following software: Excel, Word, Adobe, Microsoft Outlook.



Job Responsibilities and Expectations:

  • The primary role of this position will be to provide account management/sales targeting industrial, utility generations, data center, hospitals, and electrical contractors to sell Shermco’s full line of electrical testing, maintenance, repair & engineering services.
  • Perform direct sales and business development activities which contribute to the growth and retention of business so as to meet or exceed targeted sales goals.
  • Qualify prospective sales opportunities to determine which opportunities to pursue.
  • Accountable for attaining yearly multi-million dollar sales budgets
  • Identify, develop and implement sales strategies.
  • Assist in the preparation of estimates, sales proposals, and sales presentations.
  • Visit assigned account(s) on a regular basis in order to maintain a "strategic relationship" status; identifies necessary account changes and opportunities as quickly as possible.
  • Maintain industry knowledge and improve technical knowledge based on market requirements
  • Support our key marketing activities necessary to support sales growth in efforts such as, road shows, national conferences, tradeshows, sales trainings, and various sales engagement activities such as trade organizations.
  • Manages pricing and channel issues as they arise relating to competitive quotes and cross selling conflicts.
  • Support account from sales, securing purchase orders, terms and conditions, and customer relations.
  • Perform job walks.
  • Be a front line focal point between sales and production to qualify opportunities.
  • Be able to support lunch and learns and lead customer discussions.
  • Work with Customer Service group to enhance customer’s buying experience.
  • Support Shermco training events and trade shows.
  • Import sales activity into CRM.



Additional Requirements:


  • Must be able to pass a pre-employment drug test and periodic, unannounced random drug tests.
  • Must be able to pass a pre-employment criminal background check.
  • All offers are conditioned on acceptable results from a background check and drug and alcohol screening.
  • Must have a valid driver’s license, and currently have and be able to maintain a good driving record.
  • Must be able to travel overnight approximately 5 - 10% of the time to visit customers, prospective customers, and attend trade shows.
  • Must be able to drive for extended periods, work at a desk/cubicle on a PC, and visit and tour varying customer sites with or without reasonable accommodations. Must be able to pass a fit for duty physical exam.
  • Must be able to fluently read, write, and speak English.
Not Specified
Manufacturing Engineer
Salary not disclosed

A high-mix manufacturer, that has doubled in size in the past two years, is seeking a Manufacturing Engineer. Organization produces mission-critical components for electrical, defense, medical, and transportation markets and known for engineering excellence, quality and a strong, collaborative culture.

Manufacturing Engineer

The Manufacturing Engineer will collaborate with the production team, quality team, and other key functions to drive efficiency, eliminate waste, and improve quality in the cast resin manufacturing process. You will work with a cross-functional team to identify and act upon process improvement opportunities, ensure robust manufacturing procedures/documentation, support new product launches, and leverage our new state-of-the-art casting equipment to maximize value for our customers. Position will report to the Director of Engineering and become a critical part of the engineering and production team.

Responsibilities:

  • Creation/Implementation of Standard Work, PFMEA’s, Control Plans and other Manufacturing Process Documentation
  • Maintaining manufacturing documentation (drawings, BOM, standard work, etc.) in the ERP system for new and existing products
  • Root cause and corrective actions to drive process improvement and elimination of waste
  • Design and execution trials/experiments to develop manufacturing technology
  • Design and manufacture/procurement of fixtures, tools, and other such items to support and improve the manufacturing process
  • Collaborate with cross-functional teams to develop manufacturing area layouts which support efficient and repeatable execution of the manufacturing process
  • Leverage manufacturing and materials expertise to develop the next generation of products in mission critical applications

Requirements:

  • BSc in Engineering. Mechanical, Material, or Electrical concentration preferred
  • Minimum 3 years experience in manufacturing engineering or a related field
  • Experience with SolidWorks or similar CAD software
  • Experience with root cause analysis and related tools
  • Experience with SPC and related methods
  • Understanding of Lean Principles
  • Desire to grow and acquire new skills/certifications
  • Collaboration and Interpersonal Skills
  • Proficient in use of Microsoft Office Suite
Not Specified
Senior Data Engineer
🏢 Profitmind
Salary not disclosed
Pittsburgh, PA 1 week ago

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.


Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 


Based in Pittsburgh, we’re a fast-growing startup with real customers. Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.


About the role:

We're seeking a talented Senior Data Engineer to build and scale the data infrastructure that powers our retail technology platform. As a key member of our early-stage team, you'll design and implement robust data pipelines, establish best practices for data engineering, and enable data-driven decision making across the organization. This is a unique opportunity to shape the data foundation of a growing startup and work with cutting-edge technologies in both batch and streaming data processing.


What you’ll do:

  • Design and implement scalable data pipelines for both batch and streaming workloads using Python and Spark 
  • Build and maintain cloud-native data infrastructure to support our retail analytics and operational needs 
  • Develop real-time streaming solutions to process transaction, inventory, and operational data 
  • Develop AI agents to automate operations 
  • Implement data quality validation and monitoring to ensure reliability across our data ecosystem 
  • Establish DataOps best practices and automation as we scale our data infrastructure Own data security and privacy compliance as we handle sensitive customer and business data 
  • Collaborate closely with product, engineering, and business teams to understand data requirements and deliver solutions 
  • Mentor team members and contribute to building a strong data engineering culture 


What we’re looking for:

  • 5+ years of hands-on data engineering experience 
  • Strong proficiency in Python for data processing and pipeline development
  • Production experience with Apache Spark for large-scale data processing
  • Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure)
  • Proven track record implementing both batch and streaming data pipelines
  • Deep understanding of SQL and modern data warehouse technologies 
  • Strong knowledge of data modeling, ETL/ELT patterns, and workflow orchestration Experience with distributed systems and cloud infrastructure 
  • Excellent problem-solving and analytical skills 
  • Strong communication skills with ability to translate business needs into technical solutions Thrives in fast-paced, early-stage startup environments with changing priorities 


Nice to have:

  • Experience in retail tech, e-commerce, or similar enterprise systems 
  • Expertise with real-time processing frameworks like Kafka, Kinesis, or Flink
  • Proficiency with Python data handling libraries (pandas, NumPy, polars) 
  • Knowledge of data quality and observability platforms 
  • Understanding of event-driven architectures, medallion architectures, and CDC patterns 
  • Previous experience at an early-stage startup or building data infrastructure from scratch 
  • Background working with multi-tenant SaaS platforms or enterprise analytics systems
  • Experience with container orchestration (Docker, Kubernetes) 
  • Knowledge of DataOps and MLOps best practices


Apply today to join a small, senior team working on problems that sit at the core of how global retailers operate.

Not Specified
Senior Automation Controls & Vision Engineer
Salary not disclosed
Pittsburgh, PA 1 week ago

Senior Automation Controls & Vision Engineer

Travel: Up to 25% (including international)

Local - Pittsburgh, PA

Benefits- Medical, Dental, Vision, Life and Disability Insurance, and 401K. In addition ESP Plan, and Tuition Reimbursement.


About Us

Our Client is a global medical technology company dedicated to improving the quality, effectiveness, and efficiency of health care. Their innovative solutions address advanced hospital technologies, plasma collection systems, and products that enable labs and centers to collect high-demand blood components.


Position Summary

The Senior Automation Controls & Vision Engineer leads the design, integration, and optimization of advanced automation and vision-based inspection systems across our global manufacturing operations. This role partners closely with R&D, Manufacturing, Quality, and Software Engineering to deploy high-performance, defect-detection and quality control solutions.


Key Responsibilities

  • Integrate and optimize machine vision systems (Cognex, Keyence, Teledyne, SICK, Fanuc, KUKA, Dalsa).
  • Configure lighting, lensing, positioning, and vibration control to ensure inspection reliability.
  • Design and program Allen-Bradley PLC systems (ControlLogix, CompactLogix, FactoryTalk).
  • Develop HMIs, safety interlocks, and integrated automation architectures.
  • Program and integrate Epson and/or ABB robots (preferred).
  • Lead projects from concept through validation and deployment.
  • Drive continuous improvement, Industry 4.0, and data-driven manufacturing initiatives.

Qualifications

  • Bachelor’s Degree in Engineering (Electrical, Computer, or related field preferred).
  • 5+ years of experience in automation controls and/or vision system engineering.
  • Strong Allen-Bradley PLC programming expertise.
  • Hands-on machine vision setup and optimization experience.
  • Programming experience in C++ or Python.
  • Medical device manufacturing experience preferred.
  • Lean/Six Sigma certification a plus.
Not Specified
Machine Learning Engineer - Optimization & Insights (Retail)
🏢 Profitmind
Salary not disclosed
Pittsburgh, PA 1 week ago

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.


Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 


Based in Pittsburgh, Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.


About the role:

We are seeking a Machine Learning Engineer who understands the heartbeat of retail. In this role, you will build the intelligence that helps major retailers make critical merchandising decisions, balancing profit, revenue, and inventory health.


You will sit at the intersection of ML Engineering, Retail Strategy, and Data Science. Your work will power the "brain" of our platform, transforming raw sales data and competitive signals into actionable pricing strategies and clear insights for merchants and buyers.


What you’ll do:

  • Design and deploy models specifically for retail challenges, such as demand forecasting, price elasticity at the SKU level, seasonality detection, and markdown optimization.
  • Evolve our Python-based optimization engine to handle complex retail constraints (e.g., maintaining brand standards, psychological price points, and inventory sell-through targets).
  • Engineer systems that explain the "why" behind a price change. You will translate model outputs into merchant-friendly insights (e.g., "We recommend a markdown here because competitor X dropped price and inventory depth is high").
  • Develop logic to optimize products across their entire lifecycle—from initial price setting to promotional strategies and final clearance.
  • Build robust data pipelines to ingest and process diverse retail datasets, including POS transactions, competitor scraping, and inventory feeds.
  • Work closely with product managers to understand the needs of category managers and pricing analysts, ensuring our algorithms solve real-world merchandising pain points.


What we’re looking for:

  • 3+ years of experience building production ML systems using Python, Scikit-learn, or PyTorch, with a focus on regression and time-series forecasting.
  • A strong understanding of (or deep interest in) retail mechanics—how inventory turns, gross margin, and sell-through rates drive business success.
  • Familiarity with mathematical optimization techniques and how to apply them to business constraints (e.g., linear programming, constraint satisfaction).
  • Expert SQL skills and ability to model complex data relationships (e.g., parent-child product hierarchies, store clusters).
  • The ability to look at an optimization result and explain the business logic behind it. You can debug not just code, but the retail logic.
  • Bachelor’s degree in Computer Science, Data Science, Machine Learning, Mathematics, or a related technical field.


Nice to have:

  • Master’s degree in Artificial Intelligence, Computer Science, Operations Research, or Statistics.
  • Experience in Retail Analytics, E-commerce, Supply Chain, or Revenue Management.
  • Familiarity with "Explainable AI" (XAI) tools to make black-box models transparent to business users.
  • Experience handling sparse data or cold-start problems (e.g., pricing new products with no history).


Not Specified
Senior Corporate Finance & Private Capital Attorney
Salary not disclosed
Pittsburgh, PA 1 week ago

Position Overview

Our client is seeking a senior transactional attorney with substantial experience in corporate finance, private placements, private capital markets transactions, and complex entity governance to assume a key role within its Corporate Practice Group. This position replaces a long-standing role previously held by an equity Member and offers significant responsibility, autonomy, and long-term advancement potential.


The role is well suited for an attorney who focuses on capital formation and governance for privately held companies and investment vehicles, values in-person collaboration, and can independently manage sophisticated financing matters.


Core Practice Focus

  • Corporate finance and capital formation
  • Private placements of equity and debt securities
  • Private capital markets transactions
  • Formation and governance of private companies and investment entities


Key Responsibilities

Corporate Finance & Capital Markets

  • Lead and execute private placements and other capital-raising transactions, including equity, preferred equity, convertible securities, and debt financings.
  • Advise issuers and investors on securities law compliance, offering exemptions, disclosure obligations, and risk considerations.
  • Draft, review, and negotiate offering memoranda, subscription agreements, investor rights agreements, and related financing documentation.
  • Coordinate transaction closings with clients, investors, placement agents, financial advisors, and accounting professionals.

Entity Formation & Governance

  • Draft, review, and negotiate complex LLC operating agreements, shareholder agreements, partnership agreements, and related governance documents.
  • Advise clients on governance structures, control provisions, fiduciary duties, investor rights, and exit mechanisms.
  • Support ongoing corporate governance matters, including amendments, restructurings, and ownership changes.
  • Counsel clients on alignment of governance terms with financing and capital structure objectives.

Client Advisory & Relationship Management

  • Serve as a trusted legal and business advisor to executives, founders, boards, and investors.
  • Provide strategic guidance regarding capital structure, governance, and investor relations.
  • Communicate complex legal and financial concepts in a clear, practical manner.
  • Maintain and grow long-term client relationships.

Firm Collaboration & Leadership

  • Work closely with other partners and practice groups on cross-disciplinary matters related to corporate finance and governance.
  • Mentor associates and contribute to professional development within the Corporate Practice Group.
  • Participate in business development and firm initiatives.


Candidate Qualifications

  • 8+ years of relevant experience in corporate finance, private placements, private capital markets, and entity governance
  • Demonstrated ability to independently manage complex financing and governance matters
  • Significant experience drafting LLC operating agreements and other sophisticated governance documents
  • Experience advising middle-market companies, private investors, funds, or sponsors
  • Strong drafting, negotiation, and analytical skills
  • Excellent client communication and project management capabilities
  • Pennsylvania Bar admission (or ability to obtain promptly)
  • Willingness to work primarily in-office, with some hybrid flexibility
Not Specified
Service Delivery Lead (Operations)
🏢 HCLTech
Salary not disclosed
Pittsburgh, PA 1 week ago

Job Description – Service Delivery Operations Lead (Contact Center Operations)


Responsibilities:

  1. Accountable for service delivery, across multiple tracks, for one of our clients in the Digital space. Manage multiple diverse delivery teams located globally
  2. Direct a team of Project Managers, Track Leads, Delivery Leads, group managers of large-scale, complex global projects that involve multiple stakeholders
  3. Monitors day to day delivery management and engagement with multiple support units within the organization to ensure adherence to service level standards and to deliver a best-in-class service, meeting or exceeding all KPIs and within budget
  4. Evaluate trade-offs between project size and complexity, cost, urgency, risk, and stakeholder value
  5. Manage critical path to delivery of project objectives, engaging with stakeholders and critically assessing requirements
  6. Effectively assess and resolve high priority project risks
  7. Ensure projects meet success parameters and ROI targets stated in the business case
  8. Set the strategy for development, staying abreast of new practices and technologies, ensuring that we gain and maintain recognition for the quality of customer service.
  9. Act as the Voice of Customer, championing change and improvements across Customer experience, drive change and influence projects to support and achieve improvements in Customer Experience.
  10. Maintain collaborative and trusting relationships with stakeholders, effectively overcoming challenges and positioning alternatives to move the project forward
  11. Enhance quality of customer interactions, ensuring quality assurance, compliance, regulatory and legal obligations are met across all interactions
  12. Tap additional account growth opportunities through networking & client relationship management
  13. Aim at maximizing economic value and securing future competitive advantage
  14. Synthesize data into useful formats and bring actionable insights while straddling between details and higher level implications of critical business issues
  15. Lead the WBR’s MBR, QBR’s with multiple stakeholders
  16. Lead an effective resource planning team, ensuring that resource is fully utilized and any contract demand is effectively covered
  17. Effective transition, pre-bid and RFP experience is an added advantage
  18. Drive team towards transformed state and always look for opportunity to improve and run people independent process
  19. P&L responsibility and account growth
  20. Lead, inspire and co-ordinate team at all levels to create motivated and engaged colleagues


Minimum Skills to Hire:


  1. Bachelors in Engineering with 15-20 years or Master’s Degree with 15+ years’ experience
  2. 8-12 years’ experience in managing large scale agile programs focused on global service delivery. Preferably from BPO / Contact center operations.
  3. 10+ years’ experience with People Management and Stakeholder/Client Management
  4. Previous experience with outsourced techno functional projects is a plus. Knowledge of Cloud environment is an added advantage
  5. Prior experience in leading Quality org/ Gen-AI projects / Scripting knowledge/ Content moderation can be a plus
  6. Excellent at managing and influencing a wide network of Client Stakeholders at senior levels
  7. Ability to balance multiple projects, making strategic decisions on time, quality, and cost to deliver complex activities
  8. Proficient in Agile methodology with an ability to adapt quickly to changing technology requirements
  9. Strong understanding of Engg. Support Services (cloud products)
  10. Good with numbers, analytical and logical skills are a must for the role along with flexibility on managing global delivery teams.
  11. Ability to develop comprehensive and complex operational and strategic plans
  12. Excellent budgeting, business financial and P&L skills
  13. Advanced influencing and communication skills
  14. Advanced client service skills and leadership capabilities
Not Specified
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