Role Description We are seeking a Product Deployment & Delivery Lead to join a highly collaborative, fast‑paced team building technology solutions that enable members to deliver advanced services across rural America. This role owns end‑to‑end delivery execution—from project kickoff through deployment, stabilization, and post‑deployment support—working closely with PMO, Product Development, Engineering, NOC, Member Success, Sales, and other key stakeholders. Serving as the day‑to‑day delivery lead and escalation point for complex initiatives, the Product Deployment & Delivery Lead ensures member requirements are translated into clear, actionable technical work and drives continuous improvement of delivery processes to maximize adoption, NPS, and long‑term member retention. Responsibilities - Develop and maintain power-user level proficiency in assigned technology products, enabling confident member-facing guidance and effective issue triage. - Co-lead member onboarding with the PMO by owning the delivery approach (scope alignment, deployment plan, milestones, risks, and stakeholder communications) and ensuring a clear handoff into steady-state support. - Partner with Product Development to use AI and other methods to build scalable member enablement assets (FAQs, runbooks, guided workflows) that improve self-service and reduce avoidable escalations. - Serve as the primary delivery liaison between PMO, members, and Product Development/Engineering from initial kick-off through completion, stabilization, maintenance, and support; ensure alignment on scope, timelines, and acceptance criteria. - Lead delivery working sessions with members and internal stakeholders; facilitate decision-making, remove blockers, and drive timely resolution of issues impacting delivery milestones. - Translate member feedback and delivery findings into actionable engineering work with clear acceptance criteria, using summaries, GitHub Issues, and ManageEngine Service Desk Projects/Requests/Tasks to ensure traceability from request → delivery → outcome. - Own daily prioritization of delivery-related open items across multiple member deployments; coordinate with project manager(s) and technical leads to assign, sequence, and track work through completion. - Coordinate daily and long-range workload triage for analysts and engineers supporting deployments, escalating capacity constraints and dependency risks to leadership as needed. - Serve as an escalation point for complex delivery and post-deployment issues surfaced by Member Success, Sales, support tickets, and monitoring; coordinate resolution with engineering/PMO and ensure members receive clear status and next steps. - Establish and run an operating cadence (standups, delivery reviews, and ad-hoc deep dives) with project manager(s), analysts, engineers, and stakeholders to address delivery progress, member needs, and risks. - Communicate difficult or sensitive information tactfully; de-escalate issues when possible and escalate decisively when needed to protect member experience and delivery commitments. - Design, implement, and continuously improve repeatable delivery processes (intake, readiness, cutover, stabilization, and handoff) that streamline deployments and improve operational efficiency. - Work closely with internal stakeholders to ensure deployments meet agreed scope and acceptance criteria, are executed efficiently, and include appropriate documentation for support and member teams. - Build strong working relationships with PMO, Sales, Member Success, NOC, OpIntel, Crowd, BBS, and other teams to align delivery sequencing, member communications, and support readiness. - Measure, track, and report delivery health (deployment milestones, throughput, utilization/capacity signals, and open-issue aging) and communicate risks and remediation plans. - Partner with Member Success and Product teams to evolve post-deployment engagement mechanisms (check-ins, release communications, enablement touchpoints) that improve adoption outcomes, NPS, and churn metrics. - Other duties as assigned. Qualifications - Strong interpersonal, analytical, problem-solving, influencing, prioritization, decision-making, and conflict-resolution skills. - High levels of organization and ability to balance the needs of multiple technical deployments in a dynamic environment. - Public speaking and technical software demonstrations. - Ability to establish operating cadences, communicate delivery status, and align stakeholders on scope, milestones, risks, and tradeoffs. - Kibana; Elastic and Logstash basics a plus. - General telecommunications network architecture and concepts related to layers 1, 2 and 3 of the OSI model. - High-level understanding of various broadband technologies, including: FTTx, GPON, ethernet, fixed wireless, telephony, DSL, CMTS, and power management. - Request and Task management within ManageEngine. - Software-as-a-Service (SaaS) delivery and operations experience. - Working knowledge of AI tools and techniques for improving member enablement, support deflection, and insight generation. Requirements - 5+ years of experience in services/customer-facing technical delivery roles, managing multiple simultaneous deployments or projects in a dynamic environment. - Bachelor’s degree in information technology, management, project management, or equivalent experience; relevant certifications are a plus. Physical Demands - Work is typically performed in a remote office setting. Disclaimer The above job description summary is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of required responsibilities, duties and skills. The order in which responsibilities, duties and skills are listed is not significant.

Role Description The Continuous Improvement Manager supports the Head of Continuous Improvement to design, deliver, and embed change initiatives that add new capability to the organisation—typically through AI, automation, and digital process improvement. The role blends project delivery with practical research and enablement: - Understanding how colleagues work - Finding better ways of working - Identifying and designing solutions - Developing consistent approaches - Creating training and guidance for safe and consistent adoption with measurable business benefit Key Responsibilities - Continuous Improvement Delivery - Support the Head of Continuous Improvement to plan and deliver a pipeline of improvement projects, from discovery through implementation and benefits realisation. - Produce clear project documentation (scope, outcomes, delivery plans, RAID logs, stakeholder maps, comms/training plans, benefits tracking). - Facilitate workshops to understand current processes, pain points, and opportunities; map processes and identify automation/AI opportunities. - Coordinate delivery across business teams, IT, data, and suppliers/partners where required. - Contribute to a continuous improvement loop: prototype → test → learn → refine → embed, reflecting the organisation’s use-case led approach. - Stakeholder engagement & change enablement - Build strong relationships across teams to support adoption and change. - Create clear communication that explains “what’s changing, why, and how to use it.” - Track adoption and benefits, and recommend improvements based on evidence. - AI & Automation Capability Delivery - Identify, qualify, and shape AI and automation opportunities that reduce manual effort, improve quality, and enhance colleague and customer outcomes. - Support delivery of solutions such as workflow automation, bots, copilots/chatbots, and “AI-assisted” tools aligned to business needs. - Help define success criteria, guardrails, and adoption plans for each solution (including controls for data, privacy, and appropriate use) in line with policy and governance considerations. - Support testing, release readiness, and transition to BAU (training, documentation, handover, adoption measurement). - Understand colleagues’ current use of AI chat tools. Capture and categorise “good practice” patterns, common tasks, recurring prompts, productivity wins, and known risks/pitfalls. - Identify opportunities to reduce shadow AI risks by steering colleagues to approved tools and safer practices. - Build and maintain an AI Prompt Library (version-controlled) with: - Curated prompt examples by role/task - Templates, prompt patterns, and quality checklists - Do / don’t examples and safe-use reminders - References to approved tools and data handling rules aligned to AI Policy (privacy, oversight, accuracy, transparency) - Create an “AI at AKG” practical guide covering: - When to use which AI tool - Safe/responsible use expectations (human oversight, privacy, accuracy, ethical use, transparency) - Prompt-writing basics and advanced techniques - Examples relevant to day-to-day work - Quality assurance steps (fact-checking, bias checks, tone, confidentiality) - Develop modular training content (e.g., bite-sized sessions) and supporting material (e.g. slides, exercises, handouts, prompt packs). - Facilitate live training sessions and/or train-the-trainer sessions; gather feedback and iterate content. Qualifications - IT Project Management. - General IT systems knowledge. - Demonstrable experience supporting delivery of continuous improvement and/or change projects. - Strong relationship development and management skills. - Strong analytical and problem-solving skills: process mapping, root cause analysis, identifying waste/inefficiency. - Experience producing practical documentation and training materials that drive adoption. - Practical understanding of AI tools in a workplace context or demonstrable self-start ability to research and learn as these tools develop. Compliance It is the responsibility of all staff to abide by organisational policies to ensure compliance with relevant standards e.g. ISO 27001 (Information Security), ISO 9001 (Quality) and ISO 14001 (Environmental) as well as adhering to statutory duties in relation to safeguarding, Prevent and health and safety.

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! About Quantiphi: - Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations. - Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake. - Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. . We have been recognized with: - 17x Google Cloud Partner of the Year awards in the last 8 years. - 3x AWS AI/ML award wins. - 3x NVIDIA Partner of the Year titles. - 2x Snowflake Partner of the Year awards. - Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms. - We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators. - We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: Website or LinkedIn Page. Role: Technical Program Manager Experience Level: 7+ years Employment type: Full Time Location: East Coast (USA)/ Toronto, Canada Responsibilities: - Lead AI/ML program execution, ensuring timely delivery of scalable, production-grade RAG/LLM/Agentic solutions. - Define program roadmaps through PI planning sessions, milestones, and deliverables for AI-driven initiatives across multiple teams. - Manage LLM infrastructure, GPU optimization, AI inferencing pipelines, and large-scale model deployment strategies. - Oversee the implementation of RAG, Agentic Workflows, multi-agent LLM systems, and Retrieval-augmented QA pipelines. - Managing client engagement and delivery per terms of the contract expectations. - Manage project delivery, team and ensure positive customer relations. - Drive project margins optimization using Gen AI based tools, accelerators. - Collaborate with our diverse and global teams to deliver committed results to our clients. - Lead AI-driven engagements, ensuring alignment with business goals, technical feasibility, and governance frameworks. - Develop and execute strategic roadmaps for LLM-based solutions, including RAG (Retrieval-Augmented Generation), Agentic RAG, and Agent-driven workflows. - Manage cross-functional teams, including ML engineers, data scientists, software developers, and consultants to deliver AI solutions. - Collaborate with stakeholders to define technical architecture, infrastructure requirements, and optimization techniques. - Implement scalable AI agent architectures, ensuring integration with LangChain, NVIDIA NeMo, and Triton Inference Server. - Track project performance, set KPIs, and provide executive-level reporting on outcomes and ROI. - Guide AI model evaluation, MLOps pipeline integration, and fine-tuning strategies for scalable AI solutions. - Travel to client location as needed. - Support AI compliance strategies, ensuring alignment with data privacy, security, and responsible AI practices. Skill Set Required: - 7 plus years of Program Management experience. - Strong leadership and multi-stakeholder management skills. - Multi-Workstream Project Management ensuring customer success & account growth. - Maintaining positive work environment & ensure career growth of the team members. - Tight Delivery execution and reporting to senior management at client organization and at Quantiphi. - Mentoring team members for career progression & upskilling to drive better solution outcomes. - Team leading experience and ability & experience to work as project lead. - Excellent Communication, presentation & storytelling skills. - Must have experience with Cloud GCP or AWS or Azure (LLM hosting, GPU-based inference, cost optimization). - Experience managing large-scale AI projects leveraging LLMs (e.g., Llama, GPT, Claude, Mistral). - Strong expertise in RAG, Agentic RAG, AI Agents, Vector DBs (e.g., FAISS, Pinecone, Weaviate, ChromaDB). - Knowledge of LLM-based fine-tuning techniques, Low-Rank Adaptation (LoRA), Quantization (AWQ, GPTQ, FP8, INT4). - Familiarity with Multi-GPU parallelization, model pruning, and knowledge distillation. - Understanding of Governance frameworks (e.g., AI Ethics, Explainability, Risk Mitigation). - Proficiency in NVIDIA NeMo, Triton Inference Server, and LangChain for Agentic workflows. - Bachelor's degree in CompSci, Business IT, or other related fields or equivalent work experience. MBA is highly desirable What is in it for you: - Make an impact at one of the world’s fastest-growing AI-first digital engineering companies. - Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues. - Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines. - Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

• Partner with the Engineering Managers to plan product expansion roadmaps for platform engineering. • Lead end-to-end planning and delivery for complex cross-functional programs with clear goals, timelines, owners, and success metrics. • Partner with Principal Engineers, Staff Engineers, and senior engineering leadership to develop plans to scale our systems and services, and in some cases - help break our monolithic backend into multiple services. • Build and maintain program plans, RAID logs, status updates, and executive-ready communication materials. • Build consensus and deliver high-value outcomes. • Develop project plans across teams as needed within the Product and Engineering department (DevOps, IT, Product, Engineering, and QA), as well as cross-functional teams extending throughout the company. • Partner with project-specific stakeholders throughout the company to capture details and perform successful change management with third-party development partners. • Utilize lifecycle data to proactively raise risks and trade-off decisions to key stakeholders. Actively mitigate these with scope control and resourcing. • Identify and resolve all cross-organizational dependencies and potential blockers. • Ensure all status materials and roadmap documents are compiled, aggregated and complete and remain well-maintained. • Drive improvement and iteration on the platform engineering roadmap. • Facilitate iteration planning, progress tracking, retrospectives and reporting. • Develop key metrics to track the effectiveness of the distribution of work to third party partners.