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Lead Technical Support Engineer Jobs

6,753 active opportunities · Updated for October 2026

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Explore current lead technical support engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Supabase
📍 Remote• Full-time
1mo ago

About the Role As a Product Designer at Supabase, you'll be a key member of our design team, crafting innovative and user-focused solutions for our open-source database platform. You'll collaborate closely with Product Engineers, Product Managers, Product Marketing Managers and other peer designers to take ideas from idea to completion, ensuring a seamless and intuitive user experience across all Supabase products. Your work will directly impact the developer community, making databases more accessible, powerful, and easy to use. You'll shape how developers experience Supabase at every touchpoint, driving clarity, usability, and craft across the entire product. You'll have opportunities to lead, propose, and execute projects across various products and tools. Whether simplifying complex workflows, designing new features, improving onboarding, or elevating the overall product experience, your contributions will shape our platform's future. What You'll Be Responsible For Aligning teams with working prototypes, user flows, or high-fidelity mockups, choosing the most effective communication method. Anticipating potential pitfalls ahead of time and improving usability to resolve them. Leading complex design challenges, with the ability to balance user needs, technical constraints, and business goals. Finding alignment with cross-functional teams, along with Product Managers, Engineering Managers, Success Engineers, Sales, Product Engineers, Product Marketing Managers, and other stakeholders. Conducting or applying user research, gathering feedback, and using data to inform and validate design decisions. Contributing to the overall product ecosystem, ensuring consistency and scalability across a growing product surface. You’ll be solving multiple problems at once by creating product primitives that can be reused, extended, and combined in different contexts. You Might Be a Good Fit If You Prototype and show ideas rather than talk about them. Prefer to collaboratively work

aigorust
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Clickup
📍 United States• Full-time
1mo ago

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're looking for a Staff Data Engineer to own the architecture and technical vision of our data platform. This is a high-leverage, high-autonomy role where you'll set the technical bar for the team, drive cross-functional alignment on data infrastructure strategy, and solve our hardest engineering problems. You'll operate across AWS serverless technologies, Snowflake, dbt, and Terraform, but your impact goes well beyond any single tool: you'll shape how we think about reliability, scalability, cost, and developer experience at the platform level. This role is for someone who doesn't just build great systems, but makes the engineers around them better. The Role: Own the technical architecture of ClickUp's data platform, making design decisions that balance scalability, cost, reliability, and velocity. Define and drive the technical roadmap for data infrastructure in partnership with leadership. Design systems at scale : build frameworks, abstractions, and patterns that other engineers use daily. Lead complex, cross-team technical initiatives spanning data engineering, analytics engineering, data science, and data analytics. Drive cost optimization across cloud infrastructure and compute, turning efficiency into a competitive advantage. Build and evolve our data pipelines using AWS serverless (Lambda, Fargate, Step Functions, Kinesis, S3, DynamoDB, Aurora), Snowflake, and dbt. Establish and champion engineering standards : observability, testing, CI/CD, code review, and documentation practices. Design and maintain infrastructure for AI/ML workloads , including LLM frameworks, feature pipelines, training

pythonsqlaws
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At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Come lead the Identity & Access Management Platform team (IAM Platform) — the foundational layer that decides who can see and do what across all of ClickUp. This team owns the authorization engine, the permission and role model, authentication (SSO, MFA, SCIM, OIDC), sharing primitives, audit logs, and the core data model and APIs that define how customers' work is organized and nested across the product — the foundation every other part of ClickUp is built on. It is backend-heavy, high-blast-radius work. As we move upmarket, this is some of the most important and security-sensitive work we do — enterprises decide whether they can trust us based on how precise, predictable, auditable, and manageable our access controls are. We're looking for a Senior Engineering Manager to lead and grow this team. Your mandate is twofold: deliver an enterprise-grade access management platform — extensible, configuration-driven, correct and auditable by design — and build the team that will carry it , hiring and developing engineers as we invest heavily in enterprise. You'll raise the access, identity, and admin capabilities enterprises depend on to an enterprise-grade standard and keep them there, partnering with a Staff engineer on technical direction while you own delivery, people, and priorities. Just as important: you'll run this team the way ClickUp runs — AI-native . We structure work so AI agents can read it, route it, roll it up, and report on it, so a small team amplified by agents operates at a different scale. There are no status-reporting meetings; agents keep status, progress, and health current from r

awsmachine learningai
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Sentry
📍 San Francisco• Full-time• $155K – $400K/yr
1mo ago

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role The Events Analytics Platform (EAP) team is responsible for the infrastructure that powers all of Sentry's time-series data and searching capabilities across billions of events with sub-second latency. We started this initiative by building Snuba, the primary storage and query service for Sentry's event data powered by ClickHouse, and we are now focused on unlocking deeper visibility and reporting across the terabytes of event data our users generate. As a Senior Software Engineer, you will lead efforts to push the boundaries of data visibility at Sentry. You will do this by expanding the capabilities of our search infrastructure, building new capabilities on top of our state-of-the-art storage layer and increasing the performance and integrity of Sentry’s core data services. You will also help shape Infrastructure's technical direction at Sentry and collaborate with Product and other Engineering teams to turn that vision into a reality. If you want to solve the hard problems that come with scaling event data into the petabyte range, this could be the job for you. In this role you will: Expand EAP's ability to deliver data at world-class speed and reliability. Architect and automate services and systems to scale reliably under growing demand. Make architectural trade-offs that balance product requirements with engineering constraints. Maintain and grow the team's code quality initiatives by regularly reviewing code and contributing to design decisions. Lead design and discussions around deliverables the team is working towards. Improve the maintainability and developer experience of the codebases EAP owns. Exa

pythonsqlpostgresql
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Sentry
📍 Toronto• Full-time• C$162K – C$420K/yr
1mo ago

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role The Events Analytics Platform (EAP) team is responsible for the infrastructure that powers all of Sentry's time-series data and searching capabilities across billions of events with sub-second latency. We started this initiative by building Snuba, the primary storage and query service for Sentry's event data powered by ClickHouse, and we are now focused on unlocking deeper visibility and reporting across the terabytes of event data our users generate. As a Senior Software Engineer, you will lead efforts to push the boundaries of data visibility at Sentry. You will do this by expanding the capabilities of our search infrastructure, building new capabilities on top of our state-of-the-art storage layer and increasing the performance and integrity of Sentry’s core data services. You will also help shape Infrastructure's technical direction at Sentry and collaborate with Product and other Engineering teams to turn that vision into a reality. If you want to solve the hard problems that come with scaling event data into the petabyte range, this could be the job for you. In this role you will: Expand EAP's ability to deliver data at world-class speed and reliability. Architect and automate services and systems to scale reliably under growing demand. Make architectural trade-offs that balance product requirements with engineering constraints. Maintain and grow the team's code quality initiatives by regularly reviewing code and contributing to design decisions. Lead design and discussions around deliverables the team is working towards. Improve the maintainability and developer experience of the codebases EAP owns. Exa

pythonsqlpostgresql
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Sentry
📍 San Francisco• Full-time• $220K – $450K/yr
1mo ago

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role AI and machine learning are reshaping how developers debug, monitor, and ship software, and Sentry is uniquely positioned to lead that shift. We sit on a novel and massive dataset of real production errors, spans, and logs from tens of thousands of engineering organizations — the kind of signal that makes ML genuinely useful, whether it's a clustering model that groups related issues, a ranking system that surfaces the right alert at the right time, or an agent that proposes a fix. We're looking for an Engineering Manager to lead and grow our Machine Learning Engineering team. This team owns the full spectrum of ML at Sentry: classical techniques like clustering, ranking, anomaly detection, and embeddings that quietly power core product surfaces today, alongside the LLM-based and agentic systems shaping where the product is headed. You'll partner closely with product, design, and engineering leaders to decide where ML belongs in our products, what kind of ML actually fits the problem, and how we translate that work into experiences millions of developers rely on every day. In this role you will Set technical direction across the team's full ML surface area — from classical models for clustering, ranking, and anomaly detection to LLM-based and agentic systems — and make sharp calls about which approach fits each problem Define how the team evaluates and monitors ML systems in production, from offline metrics to online experimentation to model and agent observability Stay hands-on enough to review code and model designs, contribute to architecture discussions, and unblock engineers on complex ML problems Define

restmachine learningai
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Replit
📍 New York• Full-time• From $1.2M/yr
1mo ago

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Replit is redefining how software gets built — from solo developers to engineering teams at scale. As Director of Sales, you'll lead our enterprise sales motion and own the revenue engine that turns Replit's explosive product-led growth into durable, high-value contracts. You'll inherit a talented GTM team and take them to the next level. What You'll Do Lead, coach, and develop a team of GTM Executives — running weekly pipeline reviews, deal strategy sessions, and 1:1s that accelerate rep performance. Help shape the enterprise sales playbook: ICP, discovery frameworks, upsell and closing motions Own the full sales cycle on strategic deals — from first call to signed expansion — modeling what great looks like for the team Forecast accurately and report pipeline health, conversion metrics, and deal velocity to exec leadership weekly Represent Replit at key industry events and with high-value prospects where executive presence accelerates deals Required Skills & Experience 7+ years in B2B SaaS sales, with at least 3 years managing quota-carrying AE teams Proven track record closing enterprise deals ($100K+ ACV) and exceeding team quota Experience selling developer tools, infrastructure, or technical platforms — you understand the engineering buyer and can go deep on technical value props Data-driven operator: comfortable in Salesforce (or similar CRM), can build and own a forecast Sharp communicator — equally effective in a board-level business case and a hands-on demo with a skeptical CTO Bonus Qualifications Experience at a PLG-driven company (Figma, Notion, Linear, Vercel, etc.) with a motion that bridges product usage to enterprise contracts Familiarity with AI coding tools, cloud IDEs, or develope

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Replit is seeking a Business Development Representative (BDR) to be an early member of our sales team. This role will handle both inbound leads and outbound prospecting to build a robust pipeline for our Account Executives. Candidates with some technical experience (i.e., having basic coding knowledge or prior experience at developer tool companies) are ideal. This position plays a crucial role in our go-to-market strategy, identifying and qualifying potential customers across all segments from SMB to Enterprise. You'll be the first point of contact for many prospects, setting the tone for their Replit experience. We believe this role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for technology and AI. You'll leverage your skills to effectively communicate Replit's value proposition: a world where anyone can create software using natural language. In this role you will: Generate and qualify new sales opportunities through both inbound lead follow-up and outbound prospecting activities Research target accounts and create personalized outreach strategies to engage potential customers Evangelize a future where anyone can create software in natural language, ushering in a change in the nature of the firm on par with the PC era Articulate Replit's value proposition and align it with customers' business challenges Schedule and coordinate meetings between qualified prospects and Account Executives Maintain accurate prospect data and activity logging in Replit's CRM (Hubspot) Collaborate with marketing to provide feedback on lead quality and campaign effectiveness Continuously refine outreach approaches based on performance data Meet or exceed monthly and quarterly qualifi

restmachine learningai
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Plaid
📍 New York• Full-time
1mo ago

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Our Fraud team's mission is to help companies detect and prevent fraud using financial network data. We believe that transaction patterns, device signals, and behavioral data are an underleveraged tool in fraud prevention. The Fraud Consulting Lead is responsible for building and maturing our retro-as-a-service and POC program and driving adoption of our fraud products. The role sits between our data team and the customer (i.e., the role will not build the models, but will need to understand the output well enough to clearly and compellingly present the business case and work with technical stakeholders and customers.) Responsibilities: Own the retro and POC process end-to-end and collaborate with customers and internal stakeholders at Plaid Partner closely with customers to help them understand the ROI of Protect and make recommendations for implementing our fraud products Drive post-retro follow-through to convert retro results into production usage Serve as a feedback loop between customers and product to drive our Protect roadmap Qualifications: 5-10 years of experience in a customer-facing analytical role in fintech, financial services, or a related domain (e.g., software/tech) Experience worki

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Snowflake
📍 Menlo Park• Full-time
1mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Our Data Analytics and AI org (DAA) is actively seeking a Staff Data Scientist, GTM to provide technical leadership for Snowflake’s next generation of AI & Machine Learning powered GTM decision systems. You will contribute to high-impact work across sales and marketing: propensity models across the GTM funnel, measuring the causal effect of GTM investments and interventions, and recommending actions for accounts, leads, opportunities, and customers. This role goes beyond developing models. You will define how decision systems are designed, evaluated, productionized, and integrated into the workflows of sellers, marketers, and business leaders. You will establish reusable technical standards, guide investment across use cases, and ensure that sophisticated methods translate into measurable business impact. What You’ll Do • Set the technical direction for a portfolio of AI & Machine Learning GTM decision systems spanning Sales and Marketing. • Develop pipeline forecasting methods that model stage progression, conversion, deal timing • Build account, lead, opportunity, and customer models that identify propensity, risk, potential, and likely next outcomes. • Develop recommendation and next-best-action systems that determine where GTM teams should focus, which action to

pythonsqlmachine learning
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Cortex CoWork team is defining the future of AI for enterprise data. Our mission is to transform how the world’s largest enterprises interact with their data through flagship products like Snowflake (CoWork) Intelligence . As a Principal AI Engineer , you will be a technical North Star for our AI initiatives. You won't just execute on a roadmap; you will help define it. You will tackle the most complex, "frontier" problems in agentic reasoning, NL-to-SQL, and enterprise-scale RAG, ensuring our AI products are not only innovative but fundamentally reliable and scalable for the Fortune 500. What you will do in this role: Technical Strategy & Architecture: Define the long-term technical vision for Snowflake Intelligence. Lead the architectural design of multi-agent systems, complex tool-use frameworks, and self-correcting NL-to-SQL engines. Drive Industry-Leading Reliability: Move beyond simple evals to build world-class, automated "hill-climbing" infrastructure. You will establish the methodology for how Snowflake measures and guarantees LLM performance across diverse customer schemas. Cross-Functional Influence: Partner with Product and Engineering leadership to align AI capabilities with business goals. You will bridge the gap between Research (modeling) and Product

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Mixpanel
📍 London• Full-time• Hybrid
1mo ago

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Delivery Engineer Team As a member of the Delivery Engineer team, you will own the post-sales onboarding and data health for customers. Your goal will be to drive data trust, help embed Mixpanel into our customers’ data stack, and deliver on emerging AI integrations — delivering on the full value of Mixpanel as a self-serve analytics platform. You will work and consult with GTM team members and a diverse array of customers to successfully roll out product analytics to their organization and execute on technical projects and services that delight our customers. About the Role As a Delivery Engineer, you will be on the front lines with our clients as they integrate Mixpanel into their core product development processes. You will lay the foundation for customers to adopt product analytics and get value from Mixpanel by delivering a world-class, on-time, and value-oriented onboarding experience. With your comprehensive project management knowledge, consultative approach, expertise in the analytics space, and technical knowledge of the modern data stack, you will lead our clients' first experience with Mixpanel as they incorporate product analytics into their data ecosystem as a foundational element. With your deep technical breadth and expertise in the analytics space, you’ll be the expert consultant on all things data and ecosystem. As Mixpanel and our customers continue to iterate on agentic integrations, you’ll own ensuring customers are able to build, assemble context, and integrate AI workflows. Responsibilities Own onboarding and data health for our strategic and high-value clients, including

pythonsqlaws
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New Relic
📍 Belfast• Full-time
1mo ago

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity The Global Enablement team at New Relic provides enablement needs analysis, learning programs design, delivery and coaching to drive successful sales and technical performance and reduce time to proficiency for all sales segments. The GTM Enablement Leader for EMEA is responsible for developing and implementing comprehensive enablement strategies, training programs, and tools that empower the EMEA GTM team to achieve their goals. You will build and execute programs in collaboration with key business stakeholders and will interact with senior levels across the organization in a fast paced, dynamic environment. What you’ll do • Collaborate with EMEA GTM Leadership: Work with go-to-market leadership and sales teams to pinpoint Sales Enablement needs and set success metrics, emphasizing operational rigor and value selling. • Lead Sales New Hire Training: Design and deliver Sales New Hire Training for EMEA to facilitate quick ramp-up to productivity. • Engage with Senior Leadership: Regularly discuss emerging strategic initiatives with senior leadership and create a training schedule that aligns with EMEA priorities, incorporating regional learning needs. • Develop Ongoing Enablement Programs: Partner with

gitrestai
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For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet's customers in Europe, the Middle East, and Africa expect our Customer Trust team to understand their compliance challenges, speak their language, and respond quickly to security assessments. We're looking for a Sr. Security Engineer I to lead Customer Trust operations across EMEA—responding to security questionnaires, managing vendor risk assessments, and building trusted relationships with enterprise customers in these regions. You will be responsible for questionnaire triage, completion, and queue management for EMEA customers. You'll work closely with EMEA sales teams, understand regional compliance requirements (GDPR, EU data protection, sector-specific frameworks), and ensure Smartsheet maintains a strong reputation for responsiveness and technical credibility in these high-value markets. You will work remotely from the UK and report to our Sr. Director, GRC Engineering, based in the US You Have 5+ years of experience in customer trust, vendor risk management, security assessment, or customer-facing security roles at SaaS or cloud platform companies. Proven experience completing and responding to customer security questionnaires, vendor assessments, and RFIs. Strong understanding of GDPR, EU data protection, and regional compliance requirements: Familiarity with data residency, data processing agreements, DPIAs, and how cloud services operate within EU regulatory frameworks. Knowledge of GRC frameworks: Working knowledge of SOC 2, ISO 27001, and compliance standards commonly referenced in EMEA asse

REMOTEawsaigo
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Smartsheet
📍 USA-• Full-time• Remote• From $1.1M/yr
1mo ago

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a Solutions Consultant in Professional Services Delivery to act as a strategic partner for our customers, helping them navigate complex business challenges through an advisory-led approach to professional services. You will help customers rethink their business processes by designing and deploying capabilities that leverage modern automation and AI-native solutions. You will lead several concurrent projects, moving beyond basic implementation to deeply understand a customer’s core objectives and deliver solutions that drive digital transformation and measurable organizational change. We are looking for a consultant who balances technical execution with a consultative mindset—someone who can manage the details of project delivery while partnering with account teams to identify new opportunities for customer growth and expansion. You will report to the Manager, Consulting. This is a remote eligible position and you may work remotely from the Eastern region in the US where Smartsheet is registered. You Will: Be the Expert in the Room: Lead your customers and your cross functional peers through strong business and technical acumen by advising them on best practices that drive measurable value, advising customers to modernize and optimize their workflows across a variety of industries and use cases. Lead Transformational Engagements: Partner with customers to design and implement strategic solutions, leveraging a broad range of Smartsheet capabilities to drive organizational change and maximize long-

REMOTEawsgitrest
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