About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As an AI Engineer, the selected candidate will build and ship AI-powered tools alongside a small, technically focused team. This is a hands-on engineering role: the candidate will write Python, work with LLMs and agent frameworks, integrate APIs, and help deploy systems that real business teams depend on. Guidance will
Jobiba hiring network
Engineering Effectiveness Manager Jobs
10,000 active opportunities · Updated for October 2026
Fresh results
15 shown
Explore current engineering effectiveness manager jobs. Use filters to narrow by work mode, employment type, experience and date posted.
About the Role We’re hiring the first Technical Program Manager to join a newly formed Technical Program Management function, reporting to the Head of TPM. This is a founding role, you’ll help design and build how strategic, cross-functional work gets delivered across a global organization. TPMs at Supabase own the connective tissue between teams and between functions, managing the dependencies of our largest programs, and author and maintain/improve the standard of using Linear. This role is a strong fit for someone who has a genuine curiosity about ambiguous, complex problems, is self-directed and has conviction in their craft. What You'll Be Responsible for Parter with Engineering, Product, Design (EPD) and other stakeholder to structure and drive complex, cross-team initiatives; clarifying scope and value, securing commitment across a distributed organization, setting timelines, and leading activities from design through launch. Design systems by building the tracking, reporting, and escalation mechanisms that surface risk and progress. Build process to ensure launch readiness is predictable, consistent and coordinated across all cross-functional participants. Ask the questions that clarify priority and scope, giving async teams the context to keep building and unblocking. Build trusted relationships with stakeholders and maintain transparency into program goals, commitments, risk and delivery quality, primarily through clear written communication. Identify bottlenecks before they become blockers, develop options to resolve them, and clearly communicate the trade-offs that each option carries. Map dependencies and relationships across projects and teams, coordinating delivery across groups that don’t share reporting lines. Keep Engineering, Product, and Design accountable for their own delivery outcomes while you track, surface risk, and unblock. Develop technical and domain fluency to be an active and credible member of the delivery team and triad. You Might Be
About the team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. In support of that mission, the ChatGPT Ads team is building advertising products that help businesses reach customers in useful, trusted, and responsible ways. The Ads Strategy, Planning, and Operations team is responsible for building the operating foundation for OpenAI’s advertising business: GTM systems, segmentation, coverage, planning, forecasting, business rhythms, sales programs, incentives, and scalable execution across advertisers, agencies, partners, resellers, and internal teams. This team sits at the intersection of Sales, Product, Engineering, Finance, Legal, Policy, Marketing, Partnerships, and Customer Success. About the role We’re looking for a Reseller & Ecosystem Programs Lead to build the ChatGPT Ads reseller program from the ground up and design ecosystem programs that accelerate advertiser adoption, partner productivity, and revenue growth. This role will define how OpenAI works with resellers and ecosystem partners across the Ads business: who we partner with, what motions they own, how they are enabled, how performance is measured, and how incentives should work. The ideal candidate has built reseller, channel, partner, or ecosystem programs in digital advertising, media, adtech, marketplace, or platform businesses and knows how to balance growth, control, customer experience, and platform integrity. In this role, you’ll: Design and build the ChatGPT Ads reseller program, including partner segmentation, eligibility criteria, commercial model, operating model, onboarding, governance, and performance management. Define the role of resellers and ecosystem partners across customer acquisition, activation, spend growth, market expansion, support, and scaled coverage. Develop partner coverage and engagement models across advertisers, agencies, resellers, outsourced sellers, and other ecosystem participants. Partner with Sales, Partnership
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. Role Summary As a Social Media Support Specialist, you are at the forefront of helping developers create while managing our social media presence and community interactions. You'll assist developers with complex technical issues, billing inquiries, account management, and product usage questions across multiple channels including X (Twitter), LinkedIn, Reddit, Apple/Google Play stores, and other relevant platforms. You will help bubble up what is important to Replit's engineering and Product teams, and what needs improvement to your own team, while also serving as a key voice in our social media community engagement. We use tools like Zendesk, Sprout Social, Linear, Slack, Stripe, Orb, Notion, and Replit itself to get the job done, alongside social media management platforms for X, LinkedIn, and Reddit. You will work on a small, global team of support specialists and engineers united by Replit's mission to make the next billion software creators. Together, you'll ensure developers worldwide have the support they need to bring their ideas to life. In this role you will… Work directly with Replit customers via support tickets and social media accounts to solve account, billing, and product issues Manage and respond to customer inquiries and community discussions on X (Twitter), LinkedIn, Reddit, and Apple/Google Play stores, with the possibility of expanding coverage to additional platforms as we grow Monitor social media channels for product feedback, technical issues, and community sentiment Manage escalations from social media channels and coordinate with appropriate internal teams to ensure timely resolution Collaborate with the rest of the Support team in telling the story of our users to the rest of Replit Work cro
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. Role Summary As a Social Media Support Specialist, you are at the forefront of helping developers create while managing our social media presence and community interactions. You'll assist developers with complex technical issues, billing inquiries, account management, and product usage questions across multiple channels including X (Twitter), LinkedIn, Reddit, Apple/Google Play stores, and other relevant platforms. You will help bubble up what is important to Replit's engineering and Product teams, and what needs improvement to your own team, while also serving as a key voice in our social media community engagement. We use tools like Zendesk, Sprout Social, Linear, Slack, Stripe, Orb, Notion, and Replit itself to get the job done, alongside social media management platforms for X, LinkedIn, and Reddit. You will work on a small, global team of support specialists and engineers united by Replit's mission to make the next billion software creators. Together, you'll ensure developers worldwide have the support they need to bring their ideas to life. In this role you will… Work directly with Replit customers via support tickets and social media accounts to solve account, billing, and product issues Manage and respond to customer inquiries and community discussions on X (Twitter), LinkedIn, Reddit, and Apple/Google Play stores, with the possibility of expanding coverage to additional platforms as we grow Monitor social media channels for product feedback, technical issues, and community sentiment Manage escalations from social media channels and coordinate with appropriate internal teams to ensure timely resolution Collaborate with the rest of the Support team in telling the story of our users to the rest of Replit Work cro
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As Data Analysis Engineering Intern at Micron, you will learn about the exciting field of semiconductor failure analysis, using state of the art solutions to improve next generation memory solutions. The goal of this internship is to accelerate the cell cycles of learning by developing inline prediction to end of line cell performance using machine learning. We need engineers who are passionate about detecting problems and making changes for the better, and seek out innovative ways in how predict what will happen. We will assign you project to develop critical thinking and problem-solving skills. Your research tasks are designed to optimize and improve predictability of cell performance. Through this project we will provide the opportunity for you to collaborate with others from process integration, process engineering and data science. At the end of the period, we want you to have a deep understanding of the processes, device operation, and measurement strategies used in today’s semiconductor yield analysis department. Responsibilities: Review and analyze experimental data looking for device performance shift Possess a continuous improvement process (CIP) mentality, looking for ways to improve measurement accuracy and make a difference today! Recognize, identify, and raise awareness of process anomalies with the motivation of "who needs to know this now!" Use the data collected inline to drive process improvements Work with new detection tools and inspection strategies to loca
Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Field Service Technician at Micron Technology, you will successfully classify customer-reported problems through the accurate use of sub-resolution, system, and keywords. You will then meet specified timelines according to case priority. You will identify and monitor recurring problems in order to document and/or report them to the Engineering group for resolution. You will also contribute to establishing and maintaining a compliant desktop environment by repairing and providing preventative maintenance of personal computers and related systems. Responsibilities 1. Meet timelines according to priority Priority 1 – contact customer immediately, begin working on problem as soon as possible. Priority 2 – contact customer within 1 hour, begin working on problem within 2 hours. Priority 3 – contact customer within 12 hours, begin working on problem within 24 hours. 2. Ensure customers and co-workers are kept abreast on the incident status by providing detailed daily incident documentation. 3. Update and refer to the Worldwide Knowledgebase and the Field Services Best Practice Library. Read technical articles and entries about common fixes/bugs to stay c
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a HBM Assembly Capacity IE Manager, you are responsive for the following main works. 1. People leadership and Talent Development 2. Lead HBM Assembly IE Team for following Tasks of HBM Ramp HBM Assembly Capacity Scenario Study with multiple buildings HBM Assembly Capex study Max out program to explore opportunities for capacity increase 3. Cross function leadership and Stakeholder management. Validate and review each of engineering changes before reflecting to capacity 4. Data analytics, Automation and AI transformation Capacity model transformation – CSM fully automate plan Using Artificial Intelligence to redesign IE current workflow through lean and AI methodology AI proficiency or AI‑enabled ways of working where applicable About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, tec
About the team The Monetization Data Platform team builds the trusted data and platform foundations that power how the company develops, measures, and improves monetization products. We bring together product usage, pricing, billing, ads, payments, and financial data to help Product, Engineering, Finance, and GTM teams make better decisions and deliver reliable customer experiences. We work at the intersection of data engineering, product engineering, platform engineering, Finance, and GTM. Our goal is to turn complex monetization and financial data into accurate, explainable, and timely data products while building systems that scale with the growth and complexity of the business. About the role We are looking for a Data Engineer to improve and build the next generation of our monetization data platform. You will own high-impact systems end to end, from product instrumentation, source ingestion, and canonical modeling through quality controls, observability, and delivery to downstream consumers. This is a hands-on role for an engineer who enjoys solving ambiguous product and data problems, designing durable architectures, and partnering closely with Product Engineering, Finance, Accounting, and GTM. You will help define technical direction, raise the engineering bar, and turn monetization opportunities into trusted, scalable data products and platform capabilities. In this role, you will Design, build, and operate large streaming and batch data pipelines that process product, financial, and operational data from a variety of internal and external systems. Develop canonical data models and reusable data products for domains such as product usage, pricing, billing, ads, payments, revenue, and the general ledger. Establish strong guarantees for data accuracy, completeness, freshness, lineage, reconciliation, and auditability. Build frameworks and platform capabilities that improve developer productivity and make it easier for teams to launch, measure, and iterate on m
Data & AI Lead will enable data driven decision making, advanced analytics, and AI led value creation across the organization by transforming raw data into trusted insights, predictive intelligence, and scalable AI solutions. The primary purpose of this role is to design, build, deploy, and govern data platforms, analytics, machine learning, computer vision, operations research and generative AI capabilities that directly support business strategy, operational excellence, and innovation. By working closely with business leaders, Business Technology, Software Engineering, Architecture, IT, and Cybersecurity teams, Data & AI role translate business problems into analytical and AI use cases, develop scalable and responsible AI solutions, and ensure adoption through explainability, trust, and governance. This role plays a critical role in institutionalizing data driven culture, embedding AI into core processes, and enabling faster, better, and more consistent decisions at scale. Source: Adani Group | Job ID: 52726
About Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives. About the Role We are looking for a TPM to drive development and integration of a range of sensor systems for robotics. This role will drive cross-functional alignment across requirements, engineering design, integration, validation, manufacturing, supply chain, and release processes, helping turn complex sensor-system needs into clear plans, decisions, and milestones. Location and in-person expectations: This role is based in San Francisco, CA and requires in-person presence 4 days a week. In this role you will: Drive requirements alignment across engineering design, integration, testing, and validation for camera modules, LiDAR, IMUs, RADAR, proximity sensors, audio components and the systems they interact with. Coordinate the integration of modules including electrical, mechanical, harnessing, and software interfaces with the full robotic system with deep understanding of timelines to drive the respective PCBAs, enclosures, build and test fixtures, connectors and cables. Establish effective cadences for technical reviews, BOM readiness, change management, production releases, approvals, and decision tracking. Align harnesses, fasteners, assembly fixtures, test fixtures, and documentation so cross-functional teams can execute against a clear plan. Lead validation planning around functional, reliability, NVH failure modes, including testing needs, schedules, and exit criteria. Partner with manufacturing and supply chain to manage handoffs, lead times, dependencies, and production readiness. Drive tradeoff decisions across cost, qua
About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role As the Technician Lead, you will bridge the gap between high-level engineering goals and day-to-day shop floor execution. This is a "Player-Coach" role: you will spend 90-95% of your day as a hands-on contributor, executing high-level diagnostics and repairs alongside the team. You are responsible for ensuring the shift meets its daily output goals and uptime key results. While your primary focus is technical execution, you serve as the first point of escalation for the team and help ensure every technician is working efficiently and safely. You report to the Operations Manager, Service Operations, in our DoorDash Labs organization. This is an on-site role with expectations of 100% in-office work in the Bay Area, CA. This is across our locations in Fremont, San Jose, and Sunnyvale. You’re excited about this opportunity because you will… Lead the team to hit fleet uptime and repair goals while personally executing the most complex robotic diagnostics Perform advanced repairs, including component-level troubleshooting and fixes on intricate electrical systems, control units, and associated hardware, with minimal supervision Act as the process owner for the service center, creating and refining workflows that improve repair accuracy and shop efficiency Provide a high level of dependability and accuracy in all technical documentation and shift handovers, setting the "Gold Standard" for the technician team Lead medium-to-high complexity projects tied directly to fleet uptime and reliability key results from start to finish Serve as the primary DRI for troubleshooting systemic hardware issues and escalating critical bottlenecks to engineering Communicate clear success metrics for mai
About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a Product Manufacturing Engineer to drive manufacturing strategy and execution for next-generation AI hardware within the Silicon & Systems team, with a particular focus on PCBA manufacturing, assembly, process development, and production readiness. You will work closely with design engineering, systems engineering, operations, TPMs, contract manufacturers, suppliers, and other external partners to ensure new hardware products successfully transition from concept and prototype builds through NPI and high-volume production. You’ll own critical manufacturing initiatives, identify and resolve production risks, and help establish the processes and controls required to deliver complex hardware at scale. This role is based in San Francisco, CA. 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: Drive manufacturing and quality initiatives to ensure product success from concept and early development through NPI, production launch, and scale. Lead manufacturing process development for next-generation AI hardware systems, partnering closely with design engineering, systems engineering, operations, TPMs, suppliers, and manufacturing partners. Own PCBA manufacturing development and production readiness, including assembly processes, process validation, manufacturing test, rework, yield improvement, and successful transition into volume production. Establish NPI manufact
As a Forward Deployed Engineer on the Feature Flags team, you'll partner directly with customers to accelerate their feature flag implementations — from initial architecture consulting through prototype builds to full-scale migrations. This role is for someone who wants to write code with customers, not just advise them. You'll work hands-on inside customer codebases to unblock complex, high-stakes deployments, directly influencing deal velocity and customer success. Working closely with Sales, Solutions, and Engineering, you'll be the technical force that turns a signed contract into a live, adopted implementation. What You'll Do: Serve as the hands-on technical partner for strategic customers implementing Datadog Feature Flags, from pre-sales technical validation through post-sales delivery Consult on flag architecture and implementation approach for complex environments — multi-service, multi-platform, high-scale deployments Build prototype flag implementations directly in customer codebases to prove value and de-risk technical decisions early in the sales cycle Implement flags across diverse and advanced deployment modes (server-side, client-side, edge, mobile, streaming/real-time) tailored to each customer's stack Drive full flag migrations to completion — including legacy system cutover — efficiently and with minimal customer engineering burden Identify patterns across customer implementations and feed them back to Product and Engineering to improve the core product and reduce future implementation time Collaborate closely with Engineering on technical edge cases, product gaps, and implementation tooling Partner with Sales and Solutions to accelerate deal cycles by removing technical risk and uncertainty Who You Are: 5 years of professional software engineering experience, with hands-on coding ability across the stack you're deployed into Experience with feature flagging, experimentation, or config management systems (internal or vendor) Comfortable dropping i
About The Role & Team We’re looking for a Head of Product Marketing to define how Amplitude brings its multi-product portfolio to market. You’ll shape the narrative across our analytics platform, Statsig, and our proactive Agents—creating a clear, differentiated story while helping each product win with its target audience. This is a player-coach role . You’ll set the strategy and operating model for Product Marketing while staying close to the work: shaping positioning, leading major launches, co-building AI loops to deliver customer and competitive insights, and partnering with Product, Engineering, Sales, and Marketing. You’ll join at an important moment for the portfolio, as Amplitude expands beyond analytics and into experimentation to support the future of product development and iteration. If you’re excited by the opportunity to shape the story and market, build the team, and build an AI native PMM org , you’ll feel right at home. As a Head of Product Marketing, you will: Define Amplitude’s product narrative and positioning: Own the overarching product marketing strategy and point of view across our multi-product portfolio, including analytics, Statsig, and proactive agents. Develop a differentiated point of view and way to bring the company’s worldview to life, staying close to how teams at all stages of maturity curve are building. Lead GTM strategy for major products and launches: Partner with Product and Engineering to bring new products and capabilities to market—from positioning and messaging to launch strategy, enablement, customer proof, and adoption. Set a creative approach that caters to the audience, market, and maturity of each product. Build and coach a high-performing AI native PMM function: Set the team’s priorities, operating cadence, and bar for quality while developing PMMs into stronger strategists and storytellers. Turn customer and market insight into strategy: Develop a deep understanding of our customers, competitors, and market dyn
Get new engineering effectiveness manager jobs by email
Daily job updates · Unsubscribe anytime