Engineering Effectiveness Manager Jobs

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. As a Staff Data Scientist, you’ll lead the design and development of scalable ML systems for use cases such as menu recommendation, demand forecasting, offer targeting, and guest personalization. You will serve as a technical thought partner across teams, set best practices, and influence the roadmap for ML-driven products that support key business outcomes. Your work will directly shape strategic decisions and enhance customer experience at scale. This role is for a current vacancy. A day in the life (Responsibilities) Own the full machine learning lifecycle—from problem framing and data exploration to modeling, deployment, and monitoring—for mission-critical initiatives. Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights. Collaborate with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy. Guide architectural decisions, set modeling standards, and champion best practices for experimentation, validation, and productionization. Mentor other data scientists and raise the technical bar through design reviews, feedback, and sharing domain expertise. Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward. Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. What you'll need to thrive (Requirements) 5+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact. Deep knowledge of statistical modeling, machine lea

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. As a Staff Data Scientist, you’ll lead the design and development of scalable ML systems for use cases such as menu recommendation, demand forecasting, offer targeting, and guest personalization. You will serve as a technical thought partner across teams, set best practices, and influence the roadmap for ML-driven products that support key business outcomes. Your work will directly shape strategic decisions and enhance customer experience at scale. A day in the life (Responsibilities) Own the full machine learning lifecycle—from problem framing and data exploration to modeling, deployment, and monitoring—for mission-critical initiatives. Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights. Collaborate with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy. Guide architectural decisions, set modeling standards, and champion best practices for experimentation, validation, and productionization. Mentor other data scientists and raise the technical bar through design reviews, feedback, and sharing domain expertise. Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward. Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. What you'll need to thrive (Requirements) 7+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact. Deep knowledge of statistical modeling, machine learning (e.g., tree-based models, time series, dee

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. Are you interested in using the latest technology to help our customers build amazing relationships with their guests? Does the idea of developing products that help people cherish their best moments in life sound exciting to you? As an engineer on the Guest Engagement team, your mission will be creating the next generation of engagement experiences that help bring new guests into the restaurants, and turn them into regulars. You will work closely with UX, PM and QA, and have access to state of the art AI tools, to deliver some real impact on real people. A day in the life (Responsibilities) Design, build and maintain high performing, flexible, and scalable Android solutions running on Toast POS hardware in thousands of restaurants Ship features end-to-end, from design through rollout, monitoring for success and iterating based on real-world use Build great UX using best practices of modern Android development Be an awesome teammate who's all in on collaboration and collective success Create products and features that help restaurants deliver a best-in-class guest experience Collaborate closely with Product, Design, and Engineering stakeholders, and actively participate in Agile ceremonies Partner with team members and other engineers across the company to raise the bar for the Android experience at Toast What you'll need to thrive (Requirements) Minimum 2-4 years of experience with Android development in Kotlin and/or Java, with hands-on experience shipping production Android apps Hands on experience of modern Android tooling and frameworks is a minimum requirement Excited about AI-assisted development and LLM-based agents (Claude Code or similar), and interested in pioneering new workflows with the team Comfortable reading and integrating with backend services (REST/GraphQL) and c

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. The Android Systems team bridges the gap between hardware and software to build the foundational platform for Toast POS devices. The team develops the end-to-end software driving our device management product suite—including system applications, cloud-based services, and web user interfaces designed to secure and manage Toast's hardware ecosystem. We are seeking a Staff Software Engineer who is hands-on with coding, is able to design end to end systems, and will pave the path for the team to build modern technical solutions keeping customer empathy in mind. If you are a leader who collaborates well with teams within the organization, can think big, and are passionate about building software systems used to manage hardware devices with high focus on quality, this position is for you! About this roll* (Responsibilities): Hands-on design and implementation of Kotlin backend services to improve our device management workflows for customers. Lead the design and development of the next generation of Toast’s software services and applications to bring a seamless device configuration and user experience for customers. Collaborate with Product Management, Hardware, QA and other Software teams on the product roadmap and requirements to build a long term vision for Toast. Create technical requirements and detailed designs of the software system being developed. Lead effort estimation sessions and use sound judgment to enable planning of projects. Diagnose performance bottlenecks and implement optimizations. Make solid technical decisions keeping software quality, security, and maintainability in mind. Help set the standard for software quality by adopting modern software test frameworks and practices in day to day development. Do you have the right ingredients*? (Requirements): 8+ years of exp

Datadog Sales Engineers help qualify and close opportunities with customers and partners. You will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POCs). Sales Engineers have a voice with the product team to help prioritize features based on input from customers, competitors, and partners. Additionally, you will work with various teams to resolve customer concerns, escalate bug issues, and serve as an ambassador for our brand. If you want to join a friendly, passionate team with limitless potential, we’d love to meet you! 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: Partner with the sales team to articulate the overall Datadog value proposition, vision and strategy to customers Continually learn new technology to build competitive knowledge, technical skill, and credibility Deliver product and technical presentations with potential clients Have a direct line of communication with the product team to collaborate on feature requests Help clients onboard the product and assist when they run into roadblocks. Think creatively about a wide variety of technical challenges during the pre-sales life cycle Who You Are: Enjoys a hybrid office culture and spending time in-person at our Boston office Has at least one year of experience in a technical sales and/or post-sales role Has a working knowledge of modern web development, DevOps monitoring, and cloud architecture/technologies Enjoys collaborating and teaming with others Demonstrates strong written and oral communication skills Comfortable and confident in delivering technical presentations/demos Can multi-task, manage time well, and be responsive to others Curious, eager to learn, and persistent in solving problems Able to si

Opportunity ThermalWorks is seeking a high-caliber, full-time Technical Documentation Engineer to join our team. In this role, you will bridge first-principles thermodynamic concepts with the practical realities of our hardware to address the escalating cooling demands of modern, mission-critical data center applications. Rather than physical prototype deployment, this position focuses on the documentation lifecycle. Theoretical refrigeration knowledge is strictly essential, as you will be translating complex engineering designs and system behaviors into highly accurate support documents, manuals, and operational sequences for our product lines. Thermal Works values efficiency and strives to maintain smooth operations. Our primary focus is on providing an integrated cooling system for data centers and commercial buildings that dramatically reduces the energy demand, water consumption and cost of cooling. It transforms the economics and eco-metrics of commercial cooling with zero water solutions that outperform air- and water-cooled systems in any climate. Thermal Works solutions are sustainable and cutting-edge. For that reason, we are highly selective about the people we bring on board because our work depends on it. Change and progress happen quickly, and we must be able to trust one another to be honest, communicative, reliable, and self-motivated. We seek ultra-creatives and superstar performers with a sense of humility and a hunger to make a positive impact in the world. We offer flexibility and endless growth opportunities to those who can harness their skills and talents and identify how and where to use them to add value. Thermal Works is one of several “inspired infrastructure” companies that work collaboratively under our parent company, Endeavour Energy, LLC. At the heart of this ecosystem is a diverse group of bright, passionate, dedicated people, working together to make a real difference for people and the planet. Thermal Works is looking for someone t

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Lead Demo Engineer Here at Appian, our core values of Excellence and Intensity define who we are. In short, this means we constantly seek to understand the best for our customers, we go beyond completion in our work, we strive for excellence with intensity, and we embrace candid communication. These values guide our actions and shape our culture every day. When you join Appian, you'll be part of a passionate team that's dedicated to accomplishing hard things. SC 2.0 is the engine powering our vision . Appian's Sales Solutions Consulting team is in the midst of an exciting transformation -- redefining what it means to be a trusted advisor in today's fast-paced, mission-driven environment. Our SCs don't just demo features -- they tell stories, co-create with customers, and help shape strategy with technical credibility and business insight. Read More About SC 2.0 Here You can listen to our Global SSC leader, Gregg Aldana discuss SC 2.0 here . The SPEAR Team (Strategic Presales Execution and Readiness) is the operational engine behind Appian's global Presales organization -- the team that builds the tools, assets, governance, and infrastructure that let Solutions Consultants do their best work. As Lead Demo Engineer on SPEAR, you are not on the sidelines of SC 2.0 -- you are leading one of the teams that makes it possible at scale. The Role Are you a seasoned Appian developer with a passion for crafting impactful technology solutions and mentoring others? As the Lead Demo Engineer for Appian's SPEAR Team in Chennai, you'll take on a dual

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Demo Engineer Here at Appian, our core values of Excellence and Intensity define who we are. In short, this means we constantly seek to understand the best for our customers, we go beyond completion in our work, we strive for excellence with intensity, and we embrace candid communication. These values guide our actions and shape our culture every day. When you join Appian, you'll be part of a passionate team that's dedicated to accomplishing hard things. SC 2.0 is the engine powering our vision . Appian's Sales Solutions Consulting team is in the midst of an exciting transformation -- redefining what it means to be a trusted advisor in today's fast-paced, mission-driven environment. Our SCs don't just demo features -- they tell stories, co-create with customers, and help shape strategy with technical credibility and business insight. Read More About SC 2.0 Here You can listen to our Global SSC leader, Gregg Aldana discuss SC 2.0 here . The SPEAR Team (Strategic Presales Execution and Readiness) is the operational engine behind Appian's global Presales organization -- the team that builds the tools, assets, governance, and infrastructure that let Solutions Consultants do their best work. As a Demo Engineer on SPEAR, you are not on the sidelines of SC 2.0 -- you are one of the people making it possible at scale. The Role Behind every great demo is a great demo asset, and that's where you come in. As a Demo Engineer on Appian's SPEAR Team in Chennai, you are the technical backbone that turns one-off sales demos into a polis

As a Staff Technical Program Manager, you will partner with key Engineering, Product, Product Design, Marketing, and Analytics stakeholders to deliver Observability features and platform capabilities for MongoDB. As a seasoned program leader, you will be responsible for one of our most mission-critical programs this fiscal year, and own executive level communication related to the program. We are looking to speak to candidates who are based in Dublin for our hybrid working model. The right candidate for this role will be: Experienced with 10+ years of working in an engineering organization leading complex cross-functional technical programs Experienced with 5 years of Software development background, with Cloud storage and compute products Experience with Service Oriented Architecture and Cloud Infrastructure Able to leverage their knowledge and experience to influence technical discussions, summarizing outcomes and next steps Skilled at communicating across a diverse set of engineers and stakeholders Hyper-organized and capable of coordinating across multiple independent work streams and organizations A role model for effective execution practices, driven by an attuned sense of priority and urgency Able to leverage their experience in program delivery to influence improvements to our tools, operations, and architecture Trained in working with project tracking software (e.g. Jira, Rally, MS Project) Familiar with MongoDB or a comparable technology Interested in business automation work such as scripting in Python, Google Apps Script and Slack. Position Expectations: Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery Recognize patterns in a sea of information and take action accordingly Design, maintain, and improve the processes and tools that power program delivery Build strategic partnerships with Product and Engineering stakeholders Expand knowledge into new domains as called upon Act as a me

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Research Productivity organization builds the infrastructure and systems that accelerate research across Anthropic, including the tools that help our research process get faster and more effective over time. We're looking for an experienced software engineer to join us as we scale this infrastructure at a moment when both demand and scope are growing extremely quickly. This team operates like a startup within a startup. You'll be a strong fit if you like thinking from first principles, iterating fast on infrastructure, and tackling reliability and scalability challenges head-on as the products built on top of your systems evolve underneath you. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make the architectural decisions that shape how the infrastructure behind our research tooling gets built. You'll partner directly with research teams to understand their workflows, anticipate how their requirements will change, and design and scale infrastructure that can keep pace. Responsibilities Design, build, and scale infrastructure and systems that support rapidly increasing usage, where requirements and workload continue to evolve as the products built on top of them evolve Independently scope and lead complex, multi-month engineering projects, from an ambiguous starting point through to a production system Drive cross-organizational alignment on technical direction, working through ambiguous problem spaces with multiple stakeholders and teams Make architectural decisions that shape the foundation of research infrastructure and tooling acr

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're seeking an exceptional Research Engineer to join our Life Sciences team at Anthropic. Our team is organized around the north star goal of accelerating progress in the life sciences, from early discovery through translation, by an order of magnitude. Our team likes to think across the whole model stack. In this role, you'll combine your deep expertise in machine learning engineering to develop novel evaluation frameworks and training strategies that push the frontier of what AI can achieve in biology. You'll work at the intersection of cutting-edge AI and the biological sciences, developing rigorous methods to measure and improve model performance on complex scientific tasks. You'll collaborate closely with world-class researchers and engineers to build AI systems that can engage in all phases of research and development, while maintaining our commitment to safety and beneficial impact. Previous experience in life sciences is welcome, but not required for this role. Minimum Qualifications Demonstrated experience training and evaluating large language models Proficiency in Python and familiarity with modern ML development practices Experience building and managing data pipelines for large-scale datasets Comfortable navigating ambiguity and developing solutions in rapidly evolving research environments Strong written and verbal communication skills, with the ability to work independently while collaborating effectively across cross-functional teams Preferred Qualifications 8+ years of machine learning experience Prior work experience in AI and biology, including graduate studies (molecular biology, biochemistry, comp

We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. The Collections team is a newly formed team within MongoDB's Observability & Adoption Org focused on making telemetry onboarding and collection significantly easier across MongoDB. We own key parts of the observability collection stack, including onboarding experience, telemetry collection agents across the data and control planes, and ingestion services for metrics, logs, and traces that support both internal and customer observability in MongoDB, driving insights, recommendations, and alerting. Our mission is to reduce friction for teams implementing and iterating on Observability while partnering closely with development teams to instrument their services using shared best practices, helping define the conventions our telemetry should follow, and building collection and ingestion systems that are stable, performant, secure, well-documented, and self-service. We also work closely with the Data Pipeline and Storage & Query teams to help ensure MongoDB has a stable and performant observability stack end to end. This is an opportunity to join a team shaping how observability works across MongoDB and to have outsized impact on both the developer experience and the reliability of the platform underneath it. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Grafana, Sp

We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. The Collections team is a newly formed team within MongoDB's Observability & Adoption Org focused on making telemetry onboarding and collection significantly easier across MongoDB. We own key parts of the observability collection stack, including onboarding experience, telemetry collection agents across the data and control planes, and ingestion services for metrics, logs, and traces that support both internal and customer observability in MongoDB, driving insights, recommendations, and alerting. Our mission is to reduce friction for teams implementing and iterating on Observability while partnering closely with development teams to instrument their services using shared best practices, helping define the conventions our telemetry should follow, and building collection and ingestion systems that are stable, performant, secure, well-documented, and self-service. We also work closely with the Data Pipeline and Storage & Query teams to help ensure MongoDB has a stable and performant observability stack end to end. This is an opportunity to join a team shaping how observability works across MongoDB and to have outsized impact on both the developer experience and the reliability of the platform underneath it. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Grafana, Sp

InMobi (Corporate) InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. InMobi Advertising InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com. Glance Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com. What will you be doing? Debugging/Troubleshooting and fixing issues in the production environment by working with all stakeholders. Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. Provide functional, design, and code reviews in related areas of expertise with-in team and cross-team. Estimates efforts, identify risks, devises and meets project schedules. Rises above

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. A day in the life (Responsibilities) Independently design and implement well-defined features across the full stack with minimal day-to-day guidance. Collaborate with Product Managers, UX designers, QA, and fellow engineers to translate requirements into working software. Develop and maintain frontend features using React or Angular, focusing on usability and performance. Contribute to backend services using Java, Kotlin, or .NET (expertise in one is sufficient; .NET is not mandatory). Build and consume RESTful APIs and integrate with internal systems. Write clean, maintainable, and testable code aligned with Toast engineering standards. Participate actively in code reviews—both receiving and providing constructive feedback. Troubleshoot production and non-production issues within owned areas and contribute to root-cause analysis. Use Gradle or Maven, Git, and standard development workflows effectively. Apply AI-assisted development tools (e.g., Claude Code, Cursor, Devin) to improve development speed and quality. Support team delivery during critical phases when needed, including production issues and urgent fixes. Consistently delivers on commitments with predictable cycle time for scoped work. Demonstrates ownership of components or features but does not yet own large systems end-to-end. Understands and follows established architectural patterns and engineering best practices. Proactively communicates progress, risks, and dependencies. Seeks feedback and continuously improves technical depth and execution quality. What you'll need to thrive (Requirements): A minimum of Bachelor’s degree in any area, or any other related discipline. 6+ years of experience in software or full-stack development. Strong hands-on experience with frontend frameworks such as React or Angular. Solid back