Engineering Effectiveness Manager Jobs

About the Team Ads and Promotions is one of the core features of the DoorDash business which helps our customers access the most quality and affordable selection for their needs. The Consumer Promotion Experience team plays a crucial role within the DoorDash Ads and Promos organization and is responsible for Marketing capabilities of the platform. Our mission is to empower businesses with marketing tools to connect with their customers efficiently by creating best in class advertising solutions serving Restaurants, Brands and DoorDash internal use cases. About the Role As the Engineering Manager, you will oversee a talented group of engineers, collaborating closely with designers, product managers, and sales partners. Your primary responsibility will be driving the successful execution of our product roadmap, ensuring the timely delivery of high-quality solutions that meet both customer needs and business objectives. You will be a key player in fostering a collaborative and cross-functional work environment, promoting effective communication and synergy amongst team members. This role is ideal for a strategic thinker with strong leadership skills who can balance technical excellence with business priorities. You’re excited about this opportunity because you will… Drive strategic impact across the organization, playing a key role in shaping the direction of our product development and influencing the company's overall success Partner with cross-functional stakeholders to define the roadmap and vision for the team and deliver immense impact Lead an outstanding team by coaching engineers, empowering engineers through delegation, and applying your technical expertise to hold your team to the highest engineering standards Inspire the team with your technical vision and create the alignment necessary to execute on it Scale the team by recruiting, retaining, and developing highly talented engineers across different disciplines We're excited about you because you have

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About Production Engineering Production Engineering is Ramp's infrastructure ownership layer. We exist to make Ramp faster, more reliable, and more scalable — and we do that by being embedded in the problems, not adjacent to them. A few things that define how we operate: One team, one company, one objective. There is no "infra team" and "product team" — there is Ramp. We share the company's goals as our own. When a product team struggles with reliability or scalability, that is our struggle. If reliability or scalability is at risk, we own it. We don't wait to be invited, and we don't ask whose code it is. If a system is slow, if it breaks, if it won't scale — that's ours to lead, regardless of where it lives in the stack. We go first, and we go fast. When the path isn't obvious, we don't wait for someone else to find it. We move with urgency, propose the solution, align the stakeholders, and stay in until it's done — not until our ticket is closed. We lead the way. We find the next problem before it finds us. And when we solve it, we don't just fix

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Okta Identity Governance Team Okta Identity Governance (OIG) is Okta's Identity Governance and Administration solution, responsible for some of the most critical and visible workflows in enterprise identity: how people request access, how approvers grant it, how entitlements are enforced, and how organizations prove to auditors that only the right people have the right access. OIG is the leading contributor to Okta's new product bookings, and it runs inside some of the largest enterprises in the world — the kind of accounts where a single tenant carries hundreds of thousands of identities across thousands of applications. OIG currently supports some AI/ML based features and plans major expansion into the Agentic use cases. The Engineering Manager (Governance Intelligence) Opportunity As a manager on the OIG (Governance Intelligence) team, your mission is to adapt the OIG product to the needs of the government customers. In this role, you will actively design, build, and maintain both robust backend services and intuitive frontend interfaces. This role requires deep expertise in distributed systems and a commitment to AI-native engineering as our standard. You will rethink backend design, validation, and delivery through AI-augmented workflows, ensuring our platform provides secure, interoperable, and scalable access—enforcing the principle of least privilege for every aspect of the product. What You'll Be Doing Lead and grow a team of ML ex

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role The New York Times is looking for an Engineering Manager to lead the Compute and Storage team in the Data Platform mission. We build, run and scale the shared compute engines, lakehouse storage and connective infrastructure that power our data platform at The Times. Our work enables teams across the company to publish and own data products without managing the infrastructure underneath. You will report to the Senior Engineering Manager of Data Platforms. This is a hybrid role based in our New York City headquarters. You can typically expect to come into the office 2-3+ days/week. Responsibilities Lead a team of engineers, promoting a culture of collaboration, innovation, and continuous improvement. Oversee roadmap execution for our compute, streaming, orchestration and lakehouse storage platforms. Guide architecture and technical decisions. Set standards for shared platform code and engine integrations so our systems stay secure, reliable and scalable. Define and track service goals for availability, provisioning speed, pipeline success and query performance. Build strong practices for on-call, automation, SLAs and escalation paths. Partner with the product and engineering teams that build on our platform to turn their needs into self-service capabilities. Develop and maintain budgets, forecasts and a cost attribution model. Support our value of journalistic independence and a strong commitment to our mission

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role Lead the delivery of complex engineering projects focused on driving user acquisition, activation, and revenue growth. Break down initiatives into manageable stages with predictable timelines, making clear trade-offs between speed, experimentation, and long-term scalability. Partner closely with product and data to prioritize high-impact work and maximize business outcomes. Understand engineering levelling and scale the team by identifying and filling skill gaps, particularly in areas like experimentation, performance, and conversion optimization. Collaborate with recruiting to attract and retain top talent aligned with Growth’s fast-paced, outcome-driven environment. Monitor team performance proactively, ensuring strong execution and continuous improvement. Support engineers in delivering measurable impact and developing their careers through ownership of key growth metrics. Navigate difficult conversations with clarity and empathy, especially when balancing business urgency with technical quality. Foster a collaborative, high-velocity team culture aligned with company goals. Team you would be leading – Agents Platform The Agents Platform team is responsible for building a highly reliable platfor

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe’s Revenue & Financial Management group is building new products that expand the scope of problems we tackle beyond payments into Revenue Management, Financial Operations and analytics. Right now this includes products like Billing, Invoicing, Revenue Recognition, Reconciliation and the underlying platform for batch and real time processing of large scale financial data to power these solutions. These solutions are going to be key pillars for Stripe’s growing SaaS business and a major revenue stream. What you’ll do We are seeking an experienced engineering manager to lead the team building the foundation for accounting system and user-facing product features that will streamline and automate accrual accounting for Stripe customers. Responsibilities Lead your team of talented engineers to solve data engineering challenges at scale and deliver a high level of technical and operational excellence Collaborate with product managers and talk to directly to customers to drive a high-impact, prioritized roadmap for your team Recruit, coach, mentor, develop, and grow engineers on your team Be deeply involved in launching new product features and capabilities Partner with engineers and product managers across Stripe to ensure your features are integrated into the Stripe suite Contribute to engineering initiatives across the Revenue and Finance Automation (RFA) organization and across Stripe as a member of Stripe’s engineering management

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 a tech company with a human story to tell. We're here to empower teams to manage projects, automate workflows, and rapidly build new secure solutions, using simple no-code tools. We're revolutionaries – so for us changing the way the world works is all in a day's work. The Forms team builds one of the most widely used features in the Smartsheet ecosystem — the experiences that let our customers easily manage and collect intake from their own customers and internal teams. We're a vibrant team with engineers at every level — from early-career to senior — and we're responsible for making it simple and reliable for anyone to gather structured information at scale. We're deepening our investment in operational excellence and exploring how AI can make intake smarter, and we're looking for an Engineering Manager to help lead the team through this next chapter. You will lead and grow a team of engineers spanning all experience levels, coaching them to deliver high-quality, highly available backend systems on time and with lasting technical health. You'll bring strong technical judgment in backend development, architecture, and design to guide the team's decisions, own the roadmap creation and execution for the Forms team, partner closely with Product and cross-functional stakeholders, and help raise the bar on operational excellence for a feature that's critical to the Smartsheet experience. You Will: Lead, coach, and grow a team of engineers across all experience levels, building a culture of technical excellence,

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Team Cx App Foundations is a platform organisation within our global Cx organisation. It provides shared consumer foundations and platform capabilities used by engineering teams across Wolt, DoorDash, and Deliveroo. Within this organisation, the Velocity team owns the paved road for consumer app development across mobile and web: shared SDKs and client foundations, integration patterns and multi-brand customisation, migration playbooks and reference implementations, and developer tooling that makes building on shared foundations fast and safe. Our mission is to reduce the cost, time, and risk of building consumer experiences across platforms and brands. Product teams own customer-facing experiences; our job is to make sure they can spend their time on delivering delightful experiences. The team is AI-native: AI is a default part of how we design, build, and ship software. About the Role As the Engineering Manager, you will lead a team of experienced engineers across mobile and web, collaborating closely with product teams, design, and adjacent platform organisations across three brands. Your primary responsibility will be owning the team's roadmap and delivery of shared client foundations, and driving their adoption across the organisation, so that

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Engineering Manager, Production Engineering - Observability An overview of this role You'll lead the globally distributed Observability team. The team builds and operates the metrics, logging, alerting, and capacity planning platforms that GitLab engineers use to understand GitLab.com and GitLab Dedicated. You'll help determine how the team collects, stores, queries, and acts on telemetry, balancing reliable signals with scale and cost. In your first year, you'll guide improvements to Prometheus-based metrics pipelines, log ingestion and retention, alerting driven by service-level objectives (SLOs), and capacity forecastin

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 enables people to build software with AI. The systems underneath that experience must support safe production changes, measurable reliability, and predictable performance as usage grows. This Engineering Manager will lead SRE across observability, incident management, load testing, performance engineering, cloud cost and capacity, and rollout infrastructure . You'll lead and grow an existing team that builds and operates production platforms and works hands-on across application and infrastructure boundaries. This is a software-building leadership role, not simply an incident-management function. You'll help teams ship safely, understand production behavior, and remove performance bottlenecks through concrete engineering improvements. You should be comfortable going deep on a rollout failure or performance investigation while developing technical leaders and sustainable ownership across a distributed team. What You'll Do Observability. Build and operate metrics, logs, traces, and alerting capabilities. Help teams establish meaningful SLOs and use production telemetry to diagnose problems and verify improvements. Incident Management. Own incident tooling and practices, coordinate cross-team response, and turn incident reviews into engineering improvements that reduce recovery time and repeat failures. Load Testing. Build and maintain load/failure testing capabilities. Validate critical paths under expected demand, quantify headroom, and test recovery and production readiness with service owners. Performance Engineering. Lead deep engagements with internal teams on SLOs and end-to-end performance. Use profiling, telemetry, and load tests to identify bottlenecks and deliver improvements with service

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Staff Software Engineer, Fullstack - Finance Engineering Platform (L6) As a Staff Software Engineer on the Finance Engineering Platform team within the Platform group, you'll own the frontend technical direction for the systems that transform trading, payment, and transfer activity into accurate financial records. This team builds the internal control plane where Finance and Accounting teams monitor financial health, investigate reconciliation breaks, and take governed action. You'll turn ambiguous operational problems into cohesive, scalable user experiences and establish the patterns that enable Finance to operate with greater speed, accuracy, and confidence. What you'll do: Own the frontend technical strategy and architecture for financial reconciliation and operations products, including React and TypeScript applications for high-volume financial data, tables, filtering, visualizations, and transaction-level investigation. Lead the design of auditable human-in-the-loop workflows covering validation, approval states, error handling, permissions, and review history. Define end-to-end contracts with backend and API teams so that new data capabilities become reliable, understandable product features. Establish best practices for frontend quality across testing, accessibility, performance, observability, feature management, and safe rollout. Drive the most ambiguous a

ABOUT THE ROLE Natera is seeking a product engineering leader to build and lead the team that designs, delivers, and operates domain data products and AI-enabled analytical solutions on NDP (Natera Data Platform). You will report to the Head of Data & AI and partner with platform, governance, and product functions to turn data needs into certified, production-grade data and analytics products. Natera follows a data mesh architecture with headless data products: domain-owned assets, not tied to any BI layer, built for both human and AI consumption . A data product is ready when it is semantically correct and AI-ready, not just numerically accurate. Your mandate is to make that standard repeatable across every domain while transforming how the team works: AI-native, 3–5x more productive, and self-service for the business. Please note that this is role focuses on product side of data engineering (not platform). This person needs to demonstrate their ability to (a) Build a self-service analytics product experience for business users and (b) Create a catalog of AI ready gold-standard cross functional data products (c) Create an operating model focusing on reusability, speed. and business value of data that scale beyond one business domain. Critical Priorities for This Role Standardize and scale how data products are built — one publishing standard, golden paths, and a common operating model across every domain. Make the team AI-native — agentic SDLC and AI-assisted development become how everyone works resulting in higher productivity and growth opportunities Deliver a 3–5x productivity gain — instrumented with baselines and delivery KPIs, not anecdotes. Raise data product quality — semantically correct, AI-ready, observable, ship-ready data products. Make analytics self-service — certified, discoverable products that business users and AI systems consume without an engineering queue. RESPONSIBILITIES 1. Own Data Produ

About the team Life sciences is one of the clearest areas where advances in intelligence can meaningfully benefit the world at large. The OpenAI Life Sciences team works at the intersection of advancing frontier life sciences model capabilities and building products to help scientists accelerate their research and leverage the full potential of AI for scientific work. Rosalind Workbench brings together the scientific tools, data sources, interactive biology file viewers and core life sciences workflows into a central environment to help scientists investigate questions, design experiments, analyze results, and advance discovery. Rosalind Workbench can be used with any OpenAI models including GPT-Rosalind, our dedicated life sciences model, which combines frontier reasoning with specialized tool orchestration across medicinal chemistry, genomics, wet-lab assistance, and other scientific applications. Our long term vision is for teams of agents to work together across these domains, giving researchers access to broader expertise and the ability to pursue more ambitious scientific questions. About the role We’re looking for an Engineering Manager to lead the team building Rosalind Workbench and its supporting infrastructure. You’ll hire and develop engineers, set technical direction, and turn an ambitious product roadmap into focused, reliable releases. This is a hands-on leadership role. You should be comfortable reviewing architecture and code, investigating difficult failures, and helping engineers make consequential technical decisions. You’ll work closely with product, design, research, Codex engineering, and customer-facing teams to bring new scientific capabilities into everyday use. In this role, you will Build and lead the engineering team. Hire strong engineers, coach technical leaders, provide clear feedback, and establish ownership and accountability across product and infrastructure work. Drive technical planning and delivery. Translate scientific and cust

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Over 180,000 restaurant businesses run on Toast. About the team OLAP Platform is the analytical data layer that powers real-time reporting for restaurants and agentic data access for AI-driven products across Toast. As Engineering Manager II, you will lead a growing engineering team in Dublin that owns this shared surface. The team is in a pivotal stretch of work: scaling the platform to support more domains and consumers, keeping performance and cost in balance as it grows, and putting the governance in place to open it up safely to the next wave of AI-driven products. This is a role for an engineering leader who combines platform thinking, operational discipline, and strong cross-functional influence. You should be comfortable owning developer experience for internal engineering customers, driving technical strategy and creating clarity in a fast-moving environment. A day in the life (Responsibilities) Define and drive the technical direction, strategy and execution as the platform scales to more domains and consumers. Build the partnerships that make a shared platform work - aligning with consumer team leads on roadmaps and onboarding, and representing OLAP's priorities and constraints in cross-team forums Bring an AI-first approach to team workflow, reducing manual effort, accelerating issue resolution and shaping how the platform serves AI-driven consumers safely and at scale. Build outcome-oriented operating mechanisms, including metrics and monitoring, that keep consumer teams unblocked and give the platform team early signals when something is breaking or getting hot. Coach and mentor engineers, helping them grow technically and as leaders. Operate effectively in a fast-moving environment where experimentation, iteration, and platform stability must coexist. &nb

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Opportunity: Okta Access Gateway (OAG) Enterprises run on a mix of modern cloud services and mission-critical on-premises systems (such as Oracle E-Business Suite, SAP, PeopleSoft, and custom legacy web apps). Okta Access Gateway (OAG) solves the enterprise hybrid cloud challenge by extending Okta’s cloud identity, Adaptive MFA, and Zero Trust security policies to on-premises and legacy applications without requiring custom code changes or traditional VPNs. As the Engineering Manager for Okta Access Gateway in Toronto, you will lead and grow a team of software engineers building the next generation of our hybrid access and gateway infrastructure. You will partner closely with Product Management, Architecture, Security, and Quality teams to deliver high-throughput, mission-critical security software deployed across multi-cloud and enterprise datacenters globally. What You’ll Do People Leadership & Team Growth Lead, mentor, and empower an engineering team, fostering an inclusive, high-performance, and psychologically safe engineering culture. Drive career progression, goal setting, regular 1:1s, and continuous feedback to help engineers grow their technical and leadership skills. Attract, interview, and hire diverse engineering talent to scale Okta’s engineering presence in Toronto. Delivery & Operational Excellence Own the end-to-end execution and delivery of key product roadmap initiatives, balancing feature velocity, technical debt, and softwar