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Lead Technical Program Manager 2c Link Jobs

6,753 active opportunities · Updated for October 2026

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Explore current lead technical program manager 2c link jobs. Use filters to narrow by work mode, employment type, experience and date posted.

AG
1mo ago

To lead the Generative AI engineering initiatives at Adani AI Labs, focusing on developing intelligent agents and sovereign cloud AI solutions. This role drives the architectural design, implementation, and scaling of Generative AI applications that optimize operations across Adani’s industrial sectors, aligning with the vision to deliver secure, scalable, and intelligent digital transformation. The Engineering Manager will oversee a team of backend engineers while remaining actively involved in technical execution. This is an exciting opportunity to lead mission-critical product engineering initiatives and build state-of-the-art AI-driven systems within a dynamic and innovative environment at Adani. Source: Adani Group | Job ID: 44640

pythongitai
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C
Clickup
📍 Canada• 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. 🚀 ClickUp is looking for an experienced Engineering Manager to lead our fullstack team responsible for building and scaling our flagship products. As the leader of the team that owns the APIs and core experiences powering ClickUp, you will play a pivotal role in shaping the future of our platform. You will guide engineers working across the stack, from frontend experiences to backend infrastructure. Your focus will be on driving the development of new features, addressing performance and reliability challenges, and ensuring operational excellence as we continue to grow. This is an opportunity to make a significant impact on our core product while fostering a culture of technical excellence and collaboration. The Role: Technical Leadership : Provide hands-on technical guidance to the team, ensuring best practices in software development, architecture, and design. Team Management : Lead, mentor, and grow a team of engineers, fostering a culture of collaboration, innovation, and continuous improvement. Product Development : Drive the development of new features and enhancements, ensuring high performance, scalability, and reliability. Collaboration : Work closely with product managers, designers, and other engineering teams to align on goals, prioritize initiatives, and deliver exceptional user experiences. Code Quality : Oversee code reviews, ensure adherence to coding standards, and advocate for clean, maintainable, and testable code. Innovation : Stay up-to-date with the latest trends and technologies in collaborative editing, cloud infrastructure, and web development, and apply them to improve our produ

node.jsawsmachine learning
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C
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. 🚀 ClickUp is looking for an experienced Engineering Manager to lead our fullstack team responsible for building and scaling our flagship products. As the leader of the team that owns the APIs and core experiences powering ClickUp, you will play a pivotal role in shaping the future of our platform. You will guide engineers working across the stack, from frontend experiences to backend infrastructure. Your focus will be on driving the development of new features, addressing performance and reliability challenges, and ensuring operational excellence as we continue to grow. This is an opportunity to make a significant impact on our core product while fostering a culture of technical excellence and collaboration. The Role: Technical Leadership : Provide hands-on technical guidance to the team, ensuring best practices in software development, architecture, and design. Team Management : Lead, mentor, and grow a team of engineers, fostering a culture of collaboration, innovation, and continuous improvement. Product Development : Drive the development of new features and enhancements, ensuring high performance, scalability, and reliability. Collaboration : Work closely with product managers, designers, and other engineering teams to align on goals, prioritize initiatives, and deliver exceptional user experiences. Code Quality : Oversee code reviews, ensure adherence to coding standards, and advocate for clean, maintainable, and testable code. Innovation : Stay up-to-date with the latest trends and technologies in collaborative editing, cloud infrastructure, and web development, and apply them to improve our produ

node.jsawsmachine learning
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At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Ads is one of the fastest-growing commerce media businesses in the industry, connecting brands to a high-intent, on-the-move audience across Lyft's rider and driver networks. With proprietary first-party data spanning millions of rides and real-world consumer journeys, Lyft Ads offers advertisers a unique combination of targeting, context, and measurement that traditional platforms cannot replicate. We are building the future of mobility media — and we are looking for exceptional talent to help lead that charge. We are seeking a strategic, highly cross-functional leader to join Lyft Ads as our Sr. Product Marketing Manager for Measurement, Data & Audiences. This is a unique and high-impact role at the intersection of data commercialization, advanced measurement strategy, and go-to-market execution. As the direct commercial counterpart to our Ad Infrastructure Product Management team , you will translate back-end data signals, in-house attribution models, and reporting tools into compelling, market-facing solutions. You will own the strategy for how Lyft Ads packages and positions its first-party mobility data, validates performance through third-party measurement partners, and delivers trusted ROI clarity to brands and agencies. Additionally, you will lead the identification, evaluation, and commercialization of custom, bespoke data partnerships that unlock strategic value and incremental revenue streams for Lyft Ads. This role requires a rare blend of technical data literacy, commercial acumen, and operational execution. You will work closely with Product, Data Science, Engineering, Sales, and external partners to define how Lyft Ads goes to market and proves its value in the rapidly evolving commerce media landscape Responsibilities: Data Commercialization & Audience

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Ads is one of the fastest-growing commerce media businesses in the industry, connecting brands to a high-intent, on-the-move audience across Lyft's rider and driver networks. With proprietary first-party data spanning millions of rides and real-world consumer journeys, Lyft Ads offers advertisers a unique combination of targeting, context, and measurement that traditional platforms cannot replicate. We are building the future of mobility media — and we are looking for exceptional talent to help lead that charge. We are seeking a strategic, highly cross-functional leader to join Lyft Ads as our Sr. Product Marketing Manager for Measurement, Data & Audiences. This is a unique and high-impact role at the intersection of data commercialization, advanced measurement strategy, and go-to-market execution. As the direct commercial counterpart to our Ad Infrastructure Product Management team , you will translate back-end data signals, in-house attribution models, and reporting tools into compelling, market-facing solutions. You will own the strategy for how Lyft Ads packages and positions its first-party mobility data, validates performance through third-party measurement partners, and delivers trusted ROI clarity to brands and agencies. Additionally, you will lead the identification, evaluation, and commercialization of custom, bespoke data partnerships that unlock strategic value and incremental revenue streams for Lyft Ads. This role requires a rare blend of technical data literacy, commercial acumen, and operational execution. You will work closely with Product, Data Science, Engineering, Sales, and external partners to define how Lyft Ads goes to market and proves its value in the rapidly evolving commerce media landscape Responsibilities: Data Commercialization & Audience

C
14 days ago

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary CVS Health is looking for an Executive Director of Architecture to lead a team driving broad technical initiatives across multiple CVS Health portfolios — all in pursuit of a unified set of technology capabilities. We're hunting for a rare species: an architecture leader who thinks in systems but dreams in possibilities. You're the kind of person who gets bored drawing boxes and arrows the "correct" way and instead asks why the boxes exist at all. You can sketch wild, unconventional ideas with engineers one minute, then walk into a room of executives and translate them into business outcomes the next — without losing nuance, just real clarity. You're fluent in the bleeding edge — not because it's trendy, but because you're genuinely curious what's coming next and you've already been tinkering with it. You lead teams not by hovering, but by making people want to build something ambitious with you. This isn't your typical architecture team, and that's the point. We're not a group of theorists sketching diagrams from a tower somewhere above the actual work — we're builders who happen to also think in systems. We prototype, we get our hands dirty with bleeding-edge tech, and we measure our ideas by whether they actually

REMOTEawsgcp
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O
28 days ago

About the Team The Technical Success team helps OpenAI’s customers realize meaningful and sustained value from our technology. We partner with customers throughout their journey—from initial exploration and solution design to production implementation and organization-wide adoption. Applied AI Engineers serve as trusted technical partners to customer executives, engineering teams, product leaders, security organizations, and transformation teams. They combine deep technical judgment with strong customer instincts, translating frontier AI capabilities into secure, reliable systems and durable business outcomes. About the Role We are seeking a Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting our enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio. You will help your team identify high-value opportunities, design and deploy production-grade AI systems, navigate complex technical and organizational constraints, and expand successful implementations across workflows, teams, and business units. This role requires technical depth, people leadership, customer judgment, and operational rigor. You should be comfortable coaching engineers through architecture and evaluation decisions, engaging directly in high-stakes customer situations, and collaborating with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal. You will also help define how we serve enterprise customers at scale by developing effective coverage models, reusable implementation patterns, technical enablement, escalation mechanisms, and systems for turning field insights into high-quality product feedback. This role is open in our Singapore office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In This Role, You Will Build, manage, and develop a high-performing team of Applied AI Engineers supporting

REMOTEawsrestmachine learning
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A
Asana
📍 San Francisco• Full-time• $306K – $360K/yr
1mo ago

We’re looking for an experienced engineering leader to lead and scale Asana’s flagship AI Teammates Pillar within our Core/AI Organization. Reporting directly to the Head of Engineering, AI & AWM, you will oversee an engineering area encompassing four key teams: AI Teammates Platform (AITP), AI Teammates Experience (AITX), AI Chat Experience, and Agent Orchestration. In this role, you will lead engineering managers and senior technical leaders to drive the end-to-end strategy, execution, and architecture that define how humans and AI collaborate in Asana, turning frontier LLM capabilities into trusted, reliable, high-value product workflows for enterprise customers worldwide. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Drive Strategy & Execution Across the AI Teammates Pillar: Lead, set direction, and align goals/metrics across four core engineering teams (Platform, Experience, Chat, and Agent Orchestration) to execute on Asana’s flagship AI vision while balancing business, customer, and technical needs. Architect Enterprise-Grade AI Platforms & Systems: Own the end-to-end technical strategy across model rollouts, eval infrastructure, tool orchestration, Model Context Protocol (MCP), and proactivity engines—enabling Asana to operate reliable agentic systems for top-tier enterprise customers. Define Next-Generation Human-AI Collaboration: Lead product and platform engineering teams delivering full-screen and docked chat surfaces, discovery/onboarding flows, in-product explainability, human-in-the-loop workflows, and ROI/governance experiences for admini

restaigo
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O
OpenAI
📍 New York• Full-time• Remote
1mo ago

About the Team The Technical Success team helps OpenAI’s customers realize meaningful and sustained value from our technology. We partner with customers throughout their journey—from initial exploration and solution design to production implementation and organization-wide adoption. Applied AI Engineers serve as trusted technical partners to customer executives, engineering teams, product leaders, security organizations, and transformation teams. They combine deep technical judgment with strong customer instincts, translating frontier AI capabilities into secure, reliable systems and durable business outcomes. About the Role We are seeking a Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting our enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio. You will help your team identify high-value opportunities, design and deploy production-grade AI systems, navigate complex technical and organizational constraints, and expand successful implementations across workflows, teams, and business units. This role requires technical depth, people leadership, customer judgment, and operational rigor. You should be comfortable coaching engineers through architecture and evaluation decisions, engaging directly in high-stakes customer situations, and collaborating with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal. You will also help define how we serve enterprise customers at scale by developing effective coverage models, reusable implementation patterns, technical enablement, escalation mechanisms, and systems for turning field insights into high-quality product feedback. In This Role, You Will Build, manage, and develop a high-performing team of Applied AI Engineers supporting large and complex enterprise customers. Own the quality and impact of the team’s work across solution design, implementation, production readiness, adop

REMOTEawsrestmachine learning
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We’re looking for a technical architecture expert with hands-on development experience to define the architecture of the Retail and Consumer Packaged Goods Platform and collaborate with engineering to build the platform. This is a technical engineering role and requires familiarity with NVIDIA’s GPU acceleration libraries, experience in Retail, CPG, logistics, or marketplaces, and knowledge of enterprise AI architectures will make you an ideal candidate. Join us and take the lead in building the retail platform and help us develop the future of AI in retail! Your mission is to leverage NVIDIA’s existing retail and supply chain blueprints, along with proven workflows and best practices codified through customers and ISV engagements, to define the architecture and build the Retail & CPG platform. You will be responsible for architecting and collaborating with engineering teams across NVIDIA, to build the platform. Built on NVIDIA’s full stack—including Agentic AI, Physical AI, and accelerated computing—this platform will power our three strategic pillars: digital commerce, supply chain, and intelligent stores. What you'll be doing: You will work with Retail & CPG product management, business development, and developer relations teams to harness their deep expertise in supply chain and retail to architect and build a platform that makes it easier for our ecosystem and customers to build AI solutions at scale. The platform will use our NVIDIA Nemo microservices and Nemotron open-source models, with initial priority on Agentic AI for supply chain, digital commerce and employee productivity. This role will initially be an individual contributor with developer experience building AI agents and will collaborate with a strong technical retail and supply chain team, as well as horizontal engineering team(s). Define product, technical vision and architecture Develop platform s

artificial intelligenceaisupply chain
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V
1mo ago

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. You'll lead Vanta's EMEA Solutions Engineering team across the Growth and Commercial segments, developing a strong group of eight SEs while evolving our technical sales motion and helping drive growth in one of Vanta's highest-priority regions. Solutions Engineering at Vanta sits at the intersection of product, technical, and sales. The SE team works alongside Account Executives to drive technical wins, lead discovery, and make the fit between customer needs and Vanta's capabilities real, converting qualified opportunities into closed revenue. In EMEA, that means operating across a wide and diverse market: from established financial and technology hubs across Western Europe to emerging opportunities across the Middle East, Israel, and Southern Europe, each with different regulatory contexts, GRC maturity levels, and buying behaviours. The team needs to show up credibly across all of them. This manager leads the Growth and Commercial SE team, a group of eight SEs spanning a fast-moving, high-priority region. The SE motion is actively evolving from a repeatable demo approach toward a more consultative, value-based model in the right deals, while preserving speed and volume where that remains the right answer. The job is to develop the team and the motion together. What you’ll do as a Manager, Solutions Engineering at Vanta: Lead and develop the SE team: manage eight SEs across the Growth and Commercial segments, build on the existing operating rhythm, and establish a coaching cadence that elevates individual performance and team craft Drive the evolution of the SE motion: work with your team and EMEA sales leadership to shift fro

restaigo
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C
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 are seeking a highly technical and experienced Engineering Manager to one of our business critical engineering team. This role is ideal for a hands-on leader who thrives in a fast-paced environment, has a deep understanding of collaborative document editing technologies, and is passionate about building scalable, high-performance software. As the Manager, you will oversee the development and delivery of innovative features, ensure technical excellence, and mentor a team of talented engineers. The Role: Technical Leadership : Provide hands-on technical guidance to the team, ensuring best practices in software development, architecture, and design. Team Management : Lead, mentor, and grow a team of engineers, fostering a culture of collaboration, innovation, and continuous improvement. Product Development : Drive the development of new features and enhancements, ensuring high performance, scalability, and reliability. Collaboration : Work closely with product managers, designers, and other engineering teams to align on goals, prioritize initiatives, and deliver exceptional user experiences. Code Quality : Oversee code reviews, ensure adherence to coding standards, and advocate for clean, maintainable, and testable code. Innovation : Stay up-to-date with the latest trends and technologies in collaborative editing, cloud infrastructure, and web development, and apply them to improve our product. Operational Excellence : Ensure the stability and performance of the Docs platform, proactively addressing technical debt and optimizing system architecture. Qualifications: Technical Expertise : Proficiency in

node.jsawsmachine learning
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C
Cloudflare
📍 Hybrid Or Remote• Full-time• Remote
1mo ago

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Canada About the Role The Director of Customer Engineering will partner directly with the Vice President of Sales for Canada to lead one of Cloudflare’s fastest-growing enterprise market segments. As a key member of the Canadian leadership team, this role serves as a business and technical leader accountable for technical win rates, deal quality, customer outcomes, and team effectiveness across the entire Canadian portfolio. O

REMOTEawsaiswift
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A
Asana
📍 San Francisco• Full-time• $306K – $360K/yr
1mo ago

We’re looking for an experienced engineering leader to lead and scale Asana’s flagship AI Teammates Pillar within our Core/AI Organization. Reporting directly to the Head of Engineering, AI & AWM, you will oversee an engineering area encompassing four key teams: AI Teammates Platform (AITP), AI Teammates Experience (AITX), AI Chat Experience, and Agent Orchestration. In this role, you will lead engineering managers and senior technical leaders to drive the end-to-end strategy, execution, and architecture that define how humans and AI collaborate in Asana, turning frontier LLM capabilities into trusted, reliable, high-value product workflows for enterprise customers worldwide. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Drive Strategy & Execution Across the AI Teammates Pillar: Lead, set direction, and align goals/metrics across four core engineering teams (Platform, Experience, Chat, and Agent Orchestration) to execute on Asana’s flagship AI vision while balancing business, customer, and technical needs. Architect Enterprise-Grade AI Platforms & Systems: Own the end-to-end technical strategy across model rollouts, eval infrastructure, tool orchestration, Model Context Protocol (MCP), and proactivity engines—enabling Asana to operate reliable agentic systems for top-tier enterprise customers. Define Next-Generation Human-AI Collaboration: Lead product and platform engineering teams delivering full-screen and docked chat surfaces, discovery/onboarding flows, in-product explainability, human-in-the-loop workflows, and ROI/governance experiences for admini

restaigo
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D
Datadog
📍 New York• Full-time• From $192K/yr
1mo ago

You will lead a small, hands-on engineering team building the secure, scalable Core Analytics Data Access Platform that accelerates Datadog’s Applied AI and analytics capabilities. The team owns the Data Access Platform — a unified interface that lets AI and analytics teams discover and self-serve production-ready datasets while abstracting underlying systems and embedding required legal and compliance guardrails. In this role you’ll own technical direction, contribute to design and code, and partner closely with Applied AI, Product Analytics, and internal platform teams to provide reliable datasets and APIs for model training and analysis. This role balances day-to-day engineering leadership with long-term platform planning. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead a Hands-On Engineering Team: Manage, mentor, and grow a small team of 2–4 data engineers (mix of senior and junior) across Paris and NYC, fostering technical excellence and career development. Own Technical Direction and Delivery: Define architecture, engineering priorities, and the team roadmap for the Data Access Platform, driving implementation of scalable, secure data pipelines and platform services. Contribute to Design and Code: Spend substantial time coding, reviewing, and shipping critical platform components to ensure performance, reliability, and operational excellence. Partner with Internal Stakeholders: Work closely with Applied AI, Internal Product Analytics, product managers, and platform teams to define data contracts, APIs, SLAs, observability, and curated analytical datasets. Ensure Data Security, Governance, and Reliability: Implement access controls, lineage, monitoring, and compliance guardrails to support safe model training and repeatable analytics workflows.

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