Gravitee is a 2025 Gartner Magic Quadrant Leader , on a mission to govern the world's intelligence . We deliver the industry's most advanced platform for Any API, Any Event, and Any AI Agent , trusted by global leaders like Michelin, Roche, and Blue Yonder. Why join us? The Mission : We are the first to bridge traditional API Management with the new frontier of AI Agent Security The Momentum : A high-growth Leader - combining market credibility with startup speed The DNA : We hire people who Hold Nothing Back - passionate builders who want to redefine digital infrastructure Don't just watch the AI revolution. Build the infrastructure that controls and secures it. The Role We are looking for a Senior Software Engineer to build and maintain the identity and authorization features of Gravitee Access Management (AM) - across the AM runtime and the access-management experience in Gamma, Gravitee's next generation product surface. This is a new role. Today, AM engineering is based entirely in Europe. This hire establishes US-hours ownership of Level 3 and Level 4 authentication and authorization incidents, and adds delivery capacity toward AM parity in Gamma - part of building sustainable L3/L4 engineering capability in the US. You will split your time roughly 80% feature delivery and 20% L3/L4 support and bug fixing (it varies week to week), working as an embedded member of the AM team, which is based in Europe. What You Will Be Doing In this role, you will: Design and deliver features end to end, from discovery and technical design through implementation, testing, release, and iteration. Build and maintain identity and authorization features of Gravitee Access Management, across the AM runtime and the AM experience in Gamma. Implement and support OAuth 2.0 and OIDC flows (authorization code + PKCE, client credentials, token exchange), SAML 2.0 as both IdP and SP, SCIM, and FAPI/CIBA/UMA profiles. Work with token and session semantics - JWT, JWKS, key rotation, revocation, introspection, MFA and step-up, WebAuthn/FIDO2, and IdP federation and social login. Keep security behavior and upgrades safe: standards compliance, secure defaults, certificate and secret handling, consent, audit logs, and defenses against token replay, SSRF, and account takeover. Own safe migrations and backward compatibility across MongoDB and JDBC, and support multi-domain, multi-region deployments and login/token endpoint performance. Own US-hours Level 3 and Level 4 escalations for AM customers as part of the L3 pager duty rotation. Use LLMs and AI-assisted development tools thoughtfully for prototyping, implementation, testing, debugging, and exploration, applying sound engineering judgment to validate AI-generated work. Write meaningful automated tests and contribute to reliable delivery practices. • Collaborate with product managers, designers, engineers, and technical leaders - including the AM team based in Europe - to discover effective solutions and improve them through code and design reviews. Share what you learn and help the team make practical choices as identity standards and protocols evolve. Essential Skills We are looking for evidence that you can succeed in the role, whether gained through employment, open-source work, or equivalent practical experience: 5+ years building and running production backend software, on a team that ships and supports its own product; you have personally resolved production incidents. Strong Java experience (C# accepted if the object-oriented depth is there), with Maven and a reactive stack such as Vert.x/RxJava. Deep working knowledge of identity standards: OAuth 2.0 and OIDC flows (authorization code + PKCE, client credentials, token exchange), SAML 2.0, SCIM, and FAPI/CIBA/UMA profiles. • Solid grasp of token and session semantics: JWT, JWKS, rotation, revocation, introspection, MFA/step-up, WebAuthn/FIDO2, and IdP federation. A security-first mindset: secure defaults, certificate and secret handling, audit logging, and awareness of token replay, SSRF, and account-takeover risks. Experience with safe migrations and backward compatibility across persistent data stores such as MongoDB or JDBCbacked relational databases. Git-based workflow, code review, and writing your own automated tests. Hands-on experience using LLMs or AI coding assistants as part of an engineering workflow, combined with the judgment to review and improve their output. Clear communication, collaborative problem-solving, and the ability to take an ambiguous problem through to production. Desired Skills You do not need to match every item. We would be especially interested in experience with: • Experience at an API gateway, proxy, or service-mesh vendor, or on the API platform team of a large company (e.g., Kong, Google Apigee, MuleSoft, Tyk, Solo.io, Traefik, WSO2). Kubernetes operators and CRDs; OpenAPI tooling; service mesh or Envoy experience. Docker, Kubernetes, and cloud-native application delivery. Model Context Protocol (MCP), Agent2Agent (A2A), tool calling, LLM proxies, or other emerging AI protocols and standards. Prior production experience is not required. Building or operating LLM-powered applications, RAG systems, or agentic workflows - especially their security, governance, and observability needs. Open-source software or enterprise developer platforms. Who Thrives at Gravitee Our growth is powered by people who bring passion to what they build, professionalism to how they work, and a commitment to doing things well. You will thrive here if you: • Bring energy and a constructive attitude to the team. • Adapt quickly and enjoy learning unfamiliar technologies and domains. • Take ownership, communicate clearly, and follow through with urgency. • Balance delivery speed with thoughtful engineering judgment. • Start with the customer problem and care about the quality of the experience you create. • Enjoy working in a fast-moving, collaborative, international environment. Life at Gravitee At Gravitee, we invest in humans, not just roles. You'll get: • Salary of $160,000 • Competitive medical coverage. • Pension / 401(k) program options. • Stock options - you build it, you own it. • 25 days of holiday plus in-country national holidays. • Three mental health days and a wellness allowance. • Your birthday off. • A professional development budget to support your growth. • A hybrid work culture with hubs across regions. • Quarterly team events and an annual company offsite. • A collaborative, international company culture. • Opportunities to grow your scope and career as Gravitee grows. At Gravitee, we believe diverse perspectives make better products and stronger teams. No employee or applicant will be treated less favorably on the grounds of sex, marital status, race, color, nationality, ethnic or national origin, disability, gender, sexual orientation, gender identity, age, pregnancy or maternity, marital or civil partner status, religion, or belief. By applying, you consent to Gravitee storing and processing the personal information you submit as part of the recruitment process.
09/23/2026
Full time
Gravitee is a 2025 Gartner Magic Quadrant Leader , on a mission to govern the world's intelligence . We deliver the industry's most advanced platform for Any API, Any Event, and Any AI Agent , trusted by global leaders like Michelin, Roche, and Blue Yonder. Why join us? The Mission : We are the first to bridge traditional API Management with the new frontier of AI Agent Security The Momentum : A high-growth Leader - combining market credibility with startup speed The DNA : We hire people who Hold Nothing Back - passionate builders who want to redefine digital infrastructure Don't just watch the AI revolution. Build the infrastructure that controls and secures it. The Role We are looking for a Senior Software Engineer to build and maintain the identity and authorization features of Gravitee Access Management (AM) - across the AM runtime and the access-management experience in Gamma, Gravitee's next generation product surface. This is a new role. Today, AM engineering is based entirely in Europe. This hire establishes US-hours ownership of Level 3 and Level 4 authentication and authorization incidents, and adds delivery capacity toward AM parity in Gamma - part of building sustainable L3/L4 engineering capability in the US. You will split your time roughly 80% feature delivery and 20% L3/L4 support and bug fixing (it varies week to week), working as an embedded member of the AM team, which is based in Europe. What You Will Be Doing In this role, you will: Design and deliver features end to end, from discovery and technical design through implementation, testing, release, and iteration. Build and maintain identity and authorization features of Gravitee Access Management, across the AM runtime and the AM experience in Gamma. Implement and support OAuth 2.0 and OIDC flows (authorization code + PKCE, client credentials, token exchange), SAML 2.0 as both IdP and SP, SCIM, and FAPI/CIBA/UMA profiles. Work with token and session semantics - JWT, JWKS, key rotation, revocation, introspection, MFA and step-up, WebAuthn/FIDO2, and IdP federation and social login. Keep security behavior and upgrades safe: standards compliance, secure defaults, certificate and secret handling, consent, audit logs, and defenses against token replay, SSRF, and account takeover. Own safe migrations and backward compatibility across MongoDB and JDBC, and support multi-domain, multi-region deployments and login/token endpoint performance. Own US-hours Level 3 and Level 4 escalations for AM customers as part of the L3 pager duty rotation. Use LLMs and AI-assisted development tools thoughtfully for prototyping, implementation, testing, debugging, and exploration, applying sound engineering judgment to validate AI-generated work. Write meaningful automated tests and contribute to reliable delivery practices. • Collaborate with product managers, designers, engineers, and technical leaders - including the AM team based in Europe - to discover effective solutions and improve them through code and design reviews. Share what you learn and help the team make practical choices as identity standards and protocols evolve. Essential Skills We are looking for evidence that you can succeed in the role, whether gained through employment, open-source work, or equivalent practical experience: 5+ years building and running production backend software, on a team that ships and supports its own product; you have personally resolved production incidents. Strong Java experience (C# accepted if the object-oriented depth is there), with Maven and a reactive stack such as Vert.x/RxJava. Deep working knowledge of identity standards: OAuth 2.0 and OIDC flows (authorization code + PKCE, client credentials, token exchange), SAML 2.0, SCIM, and FAPI/CIBA/UMA profiles. • Solid grasp of token and session semantics: JWT, JWKS, rotation, revocation, introspection, MFA/step-up, WebAuthn/FIDO2, and IdP federation. A security-first mindset: secure defaults, certificate and secret handling, audit logging, and awareness of token replay, SSRF, and account-takeover risks. Experience with safe migrations and backward compatibility across persistent data stores such as MongoDB or JDBCbacked relational databases. Git-based workflow, code review, and writing your own automated tests. Hands-on experience using LLMs or AI coding assistants as part of an engineering workflow, combined with the judgment to review and improve their output. Clear communication, collaborative problem-solving, and the ability to take an ambiguous problem through to production. Desired Skills You do not need to match every item. We would be especially interested in experience with: • Experience at an API gateway, proxy, or service-mesh vendor, or on the API platform team of a large company (e.g., Kong, Google Apigee, MuleSoft, Tyk, Solo.io, Traefik, WSO2). Kubernetes operators and CRDs; OpenAPI tooling; service mesh or Envoy experience. Docker, Kubernetes, and cloud-native application delivery. Model Context Protocol (MCP), Agent2Agent (A2A), tool calling, LLM proxies, or other emerging AI protocols and standards. Prior production experience is not required. Building or operating LLM-powered applications, RAG systems, or agentic workflows - especially their security, governance, and observability needs. Open-source software or enterprise developer platforms. Who Thrives at Gravitee Our growth is powered by people who bring passion to what they build, professionalism to how they work, and a commitment to doing things well. You will thrive here if you: • Bring energy and a constructive attitude to the team. • Adapt quickly and enjoy learning unfamiliar technologies and domains. • Take ownership, communicate clearly, and follow through with urgency. • Balance delivery speed with thoughtful engineering judgment. • Start with the customer problem and care about the quality of the experience you create. • Enjoy working in a fast-moving, collaborative, international environment. Life at Gravitee At Gravitee, we invest in humans, not just roles. You'll get: • Salary of $160,000 • Competitive medical coverage. • Pension / 401(k) program options. • Stock options - you build it, you own it. • 25 days of holiday plus in-country national holidays. • Three mental health days and a wellness allowance. • Your birthday off. • A professional development budget to support your growth. • A hybrid work culture with hubs across regions. • Quarterly team events and an annual company offsite. • A collaborative, international company culture. • Opportunities to grow your scope and career as Gravitee grows. At Gravitee, we believe diverse perspectives make better products and stronger teams. No employee or applicant will be treated less favorably on the grounds of sex, marital status, race, color, nationality, ethnic or national origin, disability, gender, sexual orientation, gender identity, age, pregnancy or maternity, marital or civil partner status, religion, or belief. By applying, you consent to Gravitee storing and processing the personal information you submit as part of the recruitment process.
Who we are In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter - to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry's, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. What you'll do As a Software Engineer on the Otter Marketing/Boost team, you'll build the AI-powered platform that puts restaurant growth on autopilot, automating marketing for each storefront across delivery platforms. Your code will turn a merchant's budget and goals into real orders. Build backend services for campaign management, budgeting, and a multi-channel pipeline that deploys campaigns and keeps them in sync across delivery platforms. Develop the AI-driven Boost engine that analyzes each store, picks the best marketing for its goal, executes within budget, and recalibrates automatically. Build durable workflows for campaign orchestration, budget enforcement, and auto-pause guardrails that run correctly, every day, at scale. Integrate with third-party delivery platforms and handle the realities of external APIs: partial failures, retries, and reconciliation. Own your services end-to-end: develop, instrument, debug, and improve reliability and performance. What we're looking for We value diversity of experience and are looking for engineers excited to own complex, high-impact systems. We look for a strong sense of ownership, people ready to take their work from idea to production and take responsibility for outcomes. Basic Qualifications Proficiency in a general-purpose backend language (e.g., Java, Go, or Python). Solid foundation in distributed systems, microservices, and API design (gRPC and/or REST). Experience with databases (e.g., PostgreSQL, CockroachDB) and writing performant queries. Strong debugging skills and an instinct for reliability in systems that integrate with unpredictable third parties. Experience operating services in production, and a collaborative, product-minded approach. Nice to Have Workflow orchestration (e.g., Temporal, Cadence) or event-driven architectures (Kafka). Large-scale data and analytics tooling (Trino, Flink, Iceberg, or equivalent). ML systems in production, predictions, ranking, or optimization, or a strong interest in them. Cloud platforms (Azure, AWS, GCP) and containers (Docker, Kubernetes) Why join us Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030. Changing the restaurant industry: You'll be part of a team that helps restaurants succeed in online food delivery. Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you'll work closely with other teams to ensure our customer's success. What else you need to know This role is based in our Seattle office location. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week. The base salary range for this role is $167,000 - $230,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others?
09/23/2026
Full time
Who we are In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter - to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry's, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. What you'll do As a Software Engineer on the Otter Marketing/Boost team, you'll build the AI-powered platform that puts restaurant growth on autopilot, automating marketing for each storefront across delivery platforms. Your code will turn a merchant's budget and goals into real orders. Build backend services for campaign management, budgeting, and a multi-channel pipeline that deploys campaigns and keeps them in sync across delivery platforms. Develop the AI-driven Boost engine that analyzes each store, picks the best marketing for its goal, executes within budget, and recalibrates automatically. Build durable workflows for campaign orchestration, budget enforcement, and auto-pause guardrails that run correctly, every day, at scale. Integrate with third-party delivery platforms and handle the realities of external APIs: partial failures, retries, and reconciliation. Own your services end-to-end: develop, instrument, debug, and improve reliability and performance. What we're looking for We value diversity of experience and are looking for engineers excited to own complex, high-impact systems. We look for a strong sense of ownership, people ready to take their work from idea to production and take responsibility for outcomes. Basic Qualifications Proficiency in a general-purpose backend language (e.g., Java, Go, or Python). Solid foundation in distributed systems, microservices, and API design (gRPC and/or REST). Experience with databases (e.g., PostgreSQL, CockroachDB) and writing performant queries. Strong debugging skills and an instinct for reliability in systems that integrate with unpredictable third parties. Experience operating services in production, and a collaborative, product-minded approach. Nice to Have Workflow orchestration (e.g., Temporal, Cadence) or event-driven architectures (Kafka). Large-scale data and analytics tooling (Trino, Flink, Iceberg, or equivalent). ML systems in production, predictions, ranking, or optimization, or a strong interest in them. Cloud platforms (Azure, AWS, GCP) and containers (Docker, Kubernetes) Why join us Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030. Changing the restaurant industry: You'll be part of a team that helps restaurants succeed in online food delivery. Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you'll work closely with other teams to ensure our customer's success. What else you need to know This role is based in our Seattle office location. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week. The base salary range for this role is $167,000 - $230,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others?
Who we are In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter - to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry's, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. What you'll do As a Software Engineer on the Otter Marketing/Boost team, you'll build the AI-powered platform that puts restaurant growth on autopilot, automating marketing for each storefront across delivery platforms. Your code will turn a merchant's budget and goals into real orders. Build backend services for campaign management, budgeting, and a multi-channel pipeline that deploys campaigns and keeps them in sync across delivery platforms. Develop the AI-driven Boost engine that analyzes each store, picks the best marketing for its goal, executes within budget, and recalibrates automatically. Build durable workflows for campaign orchestration, budget enforcement, and auto-pause guardrails that run correctly, every day, at scale. Integrate with third-party delivery platforms and handle the realities of external APIs: partial failures, retries, and reconciliation. Own your services end-to-end: develop, instrument, debug, and improve reliability and performance. What we're looking for We value diversity of experience and are looking for engineers excited to own complex, high-impact systems. We look for a strong sense of ownership, people ready to take their work from idea to production and take responsibility for outcomes. Basic Qualifications Proficiency in a general-purpose backend language (e.g., Java, Go, or Python). Solid foundation in distributed systems, microservices, and API design (gRPC and/or REST). Experience with databases (e.g., PostgreSQL, CockroachDB) and writing performant queries. Strong debugging skills and an instinct for reliability in systems that integrate with unpredictable third parties. Experience operating services in production, and a collaborative, product-minded approach. Nice to Have Workflow orchestration (e.g., Temporal, Cadence) or event-driven architectures (Kafka). Large-scale data and analytics tooling (Trino, Flink, Iceberg, or equivalent). ML systems in production, predictions, ranking, or optimization, or a strong interest in them. Cloud platforms (Azure, AWS, GCP) and containers (Docker, Kubernetes) Why join us Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030. Changing the restaurant industry: You'll be part of a team that helps restaurants succeed in online food delivery. Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you'll work closely with other teams to ensure our customer's success. What else you need to know This role is based in our Seattle office location. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week. The base salary range for this role is $167,000 - $230,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others?
09/23/2026
Full time
Who we are In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter - to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry's, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. What you'll do As a Software Engineer on the Otter Marketing/Boost team, you'll build the AI-powered platform that puts restaurant growth on autopilot, automating marketing for each storefront across delivery platforms. Your code will turn a merchant's budget and goals into real orders. Build backend services for campaign management, budgeting, and a multi-channel pipeline that deploys campaigns and keeps them in sync across delivery platforms. Develop the AI-driven Boost engine that analyzes each store, picks the best marketing for its goal, executes within budget, and recalibrates automatically. Build durable workflows for campaign orchestration, budget enforcement, and auto-pause guardrails that run correctly, every day, at scale. Integrate with third-party delivery platforms and handle the realities of external APIs: partial failures, retries, and reconciliation. Own your services end-to-end: develop, instrument, debug, and improve reliability and performance. What we're looking for We value diversity of experience and are looking for engineers excited to own complex, high-impact systems. We look for a strong sense of ownership, people ready to take their work from idea to production and take responsibility for outcomes. Basic Qualifications Proficiency in a general-purpose backend language (e.g., Java, Go, or Python). Solid foundation in distributed systems, microservices, and API design (gRPC and/or REST). Experience with databases (e.g., PostgreSQL, CockroachDB) and writing performant queries. Strong debugging skills and an instinct for reliability in systems that integrate with unpredictable third parties. Experience operating services in production, and a collaborative, product-minded approach. Nice to Have Workflow orchestration (e.g., Temporal, Cadence) or event-driven architectures (Kafka). Large-scale data and analytics tooling (Trino, Flink, Iceberg, or equivalent). ML systems in production, predictions, ranking, or optimization, or a strong interest in them. Cloud platforms (Azure, AWS, GCP) and containers (Docker, Kubernetes) Why join us Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030. Changing the restaurant industry: You'll be part of a team that helps restaurants succeed in online food delivery. Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you'll work closely with other teams to ensure our customer's success. What else you need to know This role is based in our Seattle office location. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week. The base salary range for this role is $167,000 - $230,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others?
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Develop and productionize data pipelines to generate high-quality ML and evaluation datasets, streamlining curation, sampling, and slicing for training and testing the Waymo Driver software. Design and implement robust tools and infrastructure for data mining, exploration, and analysis to extract insights from large-scale datasets and drive data-driven decisions. Architect, build, and maintain large-scale data platforms to process Waymo driving logs and simulation data, ensuring dataset generation is fresh, accurate, and complete. Own and execute complex projects, successfully translating ambiguous requirements into high-impact deliverables. Collaborate cross-functionally with Data Science and Quantitative Analytics teams to identify their data needs and engineer infrastructure solutions. You have: Education: Master's degree or PhD in Computer Science, Engineering, or a related technical field. Experience: 3+ years of professional software engineering experience. Distributed Systems: Hands-on experience with systems that ingest, store, transform, and output data at scale. Programming Languages: Proficiency in C++ or Python within a production environment. Communication: Strong technical communication and collaboration skills. We prefer: Experience with A/B experiment infrastructure. Exposure to ad-hoc data analysis utilizing SQL. Prior experience working within the autonomous vehicle (AV) industry. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000-$263,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Develop and productionize data pipelines to generate high-quality ML and evaluation datasets, streamlining curation, sampling, and slicing for training and testing the Waymo Driver software. Design and implement robust tools and infrastructure for data mining, exploration, and analysis to extract insights from large-scale datasets and drive data-driven decisions. Architect, build, and maintain large-scale data platforms to process Waymo driving logs and simulation data, ensuring dataset generation is fresh, accurate, and complete. Own and execute complex projects, successfully translating ambiguous requirements into high-impact deliverables. Collaborate cross-functionally with Data Science and Quantitative Analytics teams to identify their data needs and engineer infrastructure solutions. You have: Education: Master's degree or PhD in Computer Science, Engineering, or a related technical field. Experience: 3+ years of professional software engineering experience. Distributed Systems: Hands-on experience with systems that ingest, store, transform, and output data at scale. Programming Languages: Proficiency in C++ or Python within a production environment. Communication: Strong technical communication and collaboration skills. We prefer: Experience with A/B experiment infrastructure. Exposure to ad-hoc data analysis utilizing SQL. Prior experience working within the autonomous vehicle (AV) industry. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000-$263,000 USD
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Develop and productionize data pipelines to generate high-quality ML and evaluation datasets, streamlining curation, sampling, and slicing for training and testing the Waymo Driver software. Design and implement robust tools and infrastructure for data mining, exploration, and analysis to extract insights from large-scale datasets and drive data-driven decisions. Architect, build, and maintain large-scale data platforms to process Waymo driving logs and simulation data, ensuring dataset generation is fresh, accurate, and complete. Own and execute complex projects, successfully translating ambiguous requirements into high-impact deliverables. Collaborate cross-functionally with Data Science and Quantitative Analytics teams to identify their data needs and engineer infrastructure solutions. You have: Education: Master's degree or PhD in Computer Science, Engineering, or a related technical field. Experience: 3+ years of professional software engineering experience. Distributed Systems: Hands-on experience with systems that ingest, store, transform, and output data at scale. Programming Languages: Proficiency in C++ or Python within a production environment. Communication: Strong technical communication and collaboration skills. We prefer: Experience with A/B experiment infrastructure. Exposure to ad-hoc data analysis utilizing SQL. Prior experience working within the autonomous vehicle (AV) industry. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000-$263,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Develop and productionize data pipelines to generate high-quality ML and evaluation datasets, streamlining curation, sampling, and slicing for training and testing the Waymo Driver software. Design and implement robust tools and infrastructure for data mining, exploration, and analysis to extract insights from large-scale datasets and drive data-driven decisions. Architect, build, and maintain large-scale data platforms to process Waymo driving logs and simulation data, ensuring dataset generation is fresh, accurate, and complete. Own and execute complex projects, successfully translating ambiguous requirements into high-impact deliverables. Collaborate cross-functionally with Data Science and Quantitative Analytics teams to identify their data needs and engineer infrastructure solutions. You have: Education: Master's degree or PhD in Computer Science, Engineering, or a related technical field. Experience: 3+ years of professional software engineering experience. Distributed Systems: Hands-on experience with systems that ingest, store, transform, and output data at scale. Programming Languages: Proficiency in C++ or Python within a production environment. Communication: Strong technical communication and collaboration skills. We prefer: Experience with A/B experiment infrastructure. Exposure to ad-hoc data analysis utilizing SQL. Prior experience working within the autonomous vehicle (AV) industry. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000-$263,000 USD
About Nscale Nscale is taking on the hyperscalers by building a vertically integrated GenAI cloud platform. We own the data centres, software, and applications that power today's AI stack using sustainable technology solutions. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. Collaboration is key, and we work together swiftly and respectfully, embracing adaptability and resilience in all we do. About the role Technical Product Managers at Nscale own the definition, delivery, and ongoing evolution of a slice of the Nscale platform. You partner closely with engineering, design, research, and go-to-market teams to translate customer problems and operational realities into shippable product outcomes. As a Senior Technical Product Manager for Fleet Operations, you own the product strategy for the day 0-2+ operational software that runs our global GPU fleet - the systems that bring capacity online, keep it healthy, and restore it fast when things go wrong. You partner daily with Fleet Software engineering teams, SRE, and Support to turn operational pain into durable product: provisioning and bringup (day 0), testing and deployment (day 1), and the full lifecycle of monitoring, incident response, repair, RMA, firmware, and decommissioning (day 2+). You operate at team scope, owning a major product area and driving multi-quarter initiatives that directly move fleet availability, utilisation, and time-to-recover. Senior Technical Product Manager, Fleet Operations 1 What you'll be doing Own the strategy and roadmap for a significant Fleet Operations product area - e.g. provisioning and bring-up, fleet health and telemetry, incident and repair workflows, firmware and lifecycle management, or capacity and inventory. Lead multi-sprint, cross-functional initiatives from problem framing through rollout across live GPU clusters, working hand-in-hand with Fleet Software, SRE, data centre operations, and Support. Turn operational ambiguity into product: shadow on-call rotations, ride along with support and repair workflows, and translate recurring toil into tooling, automation, and platform capabilities. Define the metrics that matter for a GPU fleet - availability, utilisation, MTTR, time-to-bring-up, hardware failure rates, support ticket deflection - and drive the roadmap against them. Partner with engineering on architecture and trade-offs for systems that span bare metal, orchestration, observability, and control planes. Drive incident reviews and postmortems into product commitments; close the loop so the same class of issue doesn't recur. Mentor junior product managers and raise the quality bar for PRDs, reviews, and product decisions across the team. Represent Fleet Operations in planning, reviews, and leadership updates. What you need 5-8 years of product management experience in software or technology, with a track record of owning significant product areas in infrastructure, platform, or operations-facing products. Strong technical fluency in large-scale systems: you can lead discussions with engineering on architecture, trade-offs, and feasibility across provisioning, orchestration, observability, and control-plane design Experience building products for operators - SREs, NOC/support teams, data centre technicians, or similar - and a genuine appetite for understanding their workflows. Demonstrated ability to move from an ambiguous operational problem space to shipped product outcomes that measurably improve reliability, efficiency, or time-to-recover. Experience mentoring or informally leading peers. Excellent written and verbal communication; you can make complex product decisions legible to engineers, operators, and executives alike. Experience with data centre networking technologies, including high-performance GPU interconnects such as InfiniBand and RoCE (RDMA over Converged Ethernet), and an understanding of how backend (east-west/compute) and frontend (north-south/storage and management) network fabrics are designed and operated at scale. Familiarity with WAN, edge, and global backbone architectures - including how multi-site connectivity, peering, and traffic engineering support a globally distributed GPU fleet. Experience partnering with network engineering teams on fabric health, congestion monitoring, and link-level failure workflows, ideally in environments where network performance directly impacts training or inference workloads. Nice to haves Degree in computer science, engineering, or a related field, or prior experience as an engineer or SRE. Hands-on background in cloud infrastructure, bare-metal provisioning, fleet or hardware lifecycle management, observability/monitoring platforms, or incident management tooling. Experience with bare-metal provisioning systems such as OpenStack Ironic (or equivalents like MAAS, Tinkerbell, or in-house provisioning stacks). Experience with DCIM tools such as NetBox (or equivalents like Device42 or Nautobot) for inventory, cabling, and rack/asset management. Experience with ITSM and ticketing platforms such as Jira Service Management (or equivalents like ServiceNow, Zendesk, or Freshservice) for support, incident, and RMA workflows. Experience with observability and monitoring platforms such as Grafana, Prometheus, Datadog, or equivalents - ideally including defining SLOs, dashboards, and alerting for large fleets. Familiarity with GPU or accelerated compute environments, data centre operations, or hyperscaler-style fleet management. Experience operating in high-growth or early-stage environments where the product is being built alongside the fleet itself Join Nscale as we build a world-class AI cloud platform. If you're excited about owning the software that keeps a global GPU fleet running - and raising the bar for the team around you - we'd love to hear from you! At Nscale, we are committed to fostering an inclusive, diverse, and equitable workplace. We believe that a variety of perspectives enriches our work environment, and we encourage applications from candidates of all backgrounds, experiences, and abilities. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation. Salary Range $200,000-$280,000 USD For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. Nscale does not accept unsolicited candidate submissions from recruitment agencies.
09/23/2026
Full time
About Nscale Nscale is taking on the hyperscalers by building a vertically integrated GenAI cloud platform. We own the data centres, software, and applications that power today's AI stack using sustainable technology solutions. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. Collaboration is key, and we work together swiftly and respectfully, embracing adaptability and resilience in all we do. About the role Technical Product Managers at Nscale own the definition, delivery, and ongoing evolution of a slice of the Nscale platform. You partner closely with engineering, design, research, and go-to-market teams to translate customer problems and operational realities into shippable product outcomes. As a Senior Technical Product Manager for Fleet Operations, you own the product strategy for the day 0-2+ operational software that runs our global GPU fleet - the systems that bring capacity online, keep it healthy, and restore it fast when things go wrong. You partner daily with Fleet Software engineering teams, SRE, and Support to turn operational pain into durable product: provisioning and bringup (day 0), testing and deployment (day 1), and the full lifecycle of monitoring, incident response, repair, RMA, firmware, and decommissioning (day 2+). You operate at team scope, owning a major product area and driving multi-quarter initiatives that directly move fleet availability, utilisation, and time-to-recover. Senior Technical Product Manager, Fleet Operations 1 What you'll be doing Own the strategy and roadmap for a significant Fleet Operations product area - e.g. provisioning and bring-up, fleet health and telemetry, incident and repair workflows, firmware and lifecycle management, or capacity and inventory. Lead multi-sprint, cross-functional initiatives from problem framing through rollout across live GPU clusters, working hand-in-hand with Fleet Software, SRE, data centre operations, and Support. Turn operational ambiguity into product: shadow on-call rotations, ride along with support and repair workflows, and translate recurring toil into tooling, automation, and platform capabilities. Define the metrics that matter for a GPU fleet - availability, utilisation, MTTR, time-to-bring-up, hardware failure rates, support ticket deflection - and drive the roadmap against them. Partner with engineering on architecture and trade-offs for systems that span bare metal, orchestration, observability, and control planes. Drive incident reviews and postmortems into product commitments; close the loop so the same class of issue doesn't recur. Mentor junior product managers and raise the quality bar for PRDs, reviews, and product decisions across the team. Represent Fleet Operations in planning, reviews, and leadership updates. What you need 5-8 years of product management experience in software or technology, with a track record of owning significant product areas in infrastructure, platform, or operations-facing products. Strong technical fluency in large-scale systems: you can lead discussions with engineering on architecture, trade-offs, and feasibility across provisioning, orchestration, observability, and control-plane design Experience building products for operators - SREs, NOC/support teams, data centre technicians, or similar - and a genuine appetite for understanding their workflows. Demonstrated ability to move from an ambiguous operational problem space to shipped product outcomes that measurably improve reliability, efficiency, or time-to-recover. Experience mentoring or informally leading peers. Excellent written and verbal communication; you can make complex product decisions legible to engineers, operators, and executives alike. Experience with data centre networking technologies, including high-performance GPU interconnects such as InfiniBand and RoCE (RDMA over Converged Ethernet), and an understanding of how backend (east-west/compute) and frontend (north-south/storage and management) network fabrics are designed and operated at scale. Familiarity with WAN, edge, and global backbone architectures - including how multi-site connectivity, peering, and traffic engineering support a globally distributed GPU fleet. Experience partnering with network engineering teams on fabric health, congestion monitoring, and link-level failure workflows, ideally in environments where network performance directly impacts training or inference workloads. Nice to haves Degree in computer science, engineering, or a related field, or prior experience as an engineer or SRE. Hands-on background in cloud infrastructure, bare-metal provisioning, fleet or hardware lifecycle management, observability/monitoring platforms, or incident management tooling. Experience with bare-metal provisioning systems such as OpenStack Ironic (or equivalents like MAAS, Tinkerbell, or in-house provisioning stacks). Experience with DCIM tools such as NetBox (or equivalents like Device42 or Nautobot) for inventory, cabling, and rack/asset management. Experience with ITSM and ticketing platforms such as Jira Service Management (or equivalents like ServiceNow, Zendesk, or Freshservice) for support, incident, and RMA workflows. Experience with observability and monitoring platforms such as Grafana, Prometheus, Datadog, or equivalents - ideally including defining SLOs, dashboards, and alerting for large fleets. Familiarity with GPU or accelerated compute environments, data centre operations, or hyperscaler-style fleet management. Experience operating in high-growth or early-stage environments where the product is being built alongside the fleet itself Join Nscale as we build a world-class AI cloud platform. If you're excited about owning the software that keeps a global GPU fleet running - and raising the bar for the team around you - we'd love to hear from you! At Nscale, we are committed to fostering an inclusive, diverse, and equitable workplace. We believe that a variety of perspectives enriches our work environment, and we encourage applications from candidates of all backgrounds, experiences, and abilities. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation. Salary Range $200,000-$280,000 USD For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. Nscale does not accept unsolicited candidate submissions from recruitment agencies.
Who we are In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter - to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry's, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. What you'll do At Otter Grow, we are a fast-paced, product-focused engineering team building the future of Direct-to-Consumer (D2C) dining. Otter Grow provides the end-to-end platform for direct ordering, merchant storefront configurations, and hyper-targeted customer engagement. As a backend generalist on this team, you will design and scale the services that power our customizable front-end web experiences, facility direct ordering, and advanced merchant tools, ensuring a seamless experience for customers. Core Responsibilities Architecture, build, and maintain highly scalable backend services in Java to power our direct ordering ecosystem and storefront configuration tools. Design and optimize robust, flexible APIs Work closely with front-end engineers, product managers, and designers to translate merchant and consumer needs into reliable backend logic. What we are looking for Bachelor's degree in Computer Science or equivalent experience is required. 3+ years of professional software engineering experience. Deep understanding of backend system design, APIs, data stores, microservices, concurrency, and distributed systems Our stack heavily utilizes Java and Go, but we care more about your engineering fundamentals than the specific languages you've used. Experience with relational and/or NoSQL databases (e.g., PostgreSQL, MongoDB, Redis) Experience with cloud platforms like AWS, Google Cloud, or Azure Preferred Qualifications Working on D2C, e-commerce, or transactional product engineering teams. Experience building microservices that handle complex merchant configurations, ordering states, or payment flows. A full-stack background or comfort working closely with front-end technologies. While this is a backend-heavy generalist role, an understanding of how backend systems impact front-end web customization and performance is highly valued. Passion for product impact and building systems that directly support customers and operators Why join us Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030. Changing the restaurant industry: You'll be part of a team that helps restaurants succeed in online food delivery. Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you'll work closely with other teams to ensure our customer's success. What else you need to know This role is based in our Los Angeles office location. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week. The base salary range for this role is $167,000 - $230,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others?
09/23/2026
Full time
Who we are In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter - to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry's, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. What you'll do At Otter Grow, we are a fast-paced, product-focused engineering team building the future of Direct-to-Consumer (D2C) dining. Otter Grow provides the end-to-end platform for direct ordering, merchant storefront configurations, and hyper-targeted customer engagement. As a backend generalist on this team, you will design and scale the services that power our customizable front-end web experiences, facility direct ordering, and advanced merchant tools, ensuring a seamless experience for customers. Core Responsibilities Architecture, build, and maintain highly scalable backend services in Java to power our direct ordering ecosystem and storefront configuration tools. Design and optimize robust, flexible APIs Work closely with front-end engineers, product managers, and designers to translate merchant and consumer needs into reliable backend logic. What we are looking for Bachelor's degree in Computer Science or equivalent experience is required. 3+ years of professional software engineering experience. Deep understanding of backend system design, APIs, data stores, microservices, concurrency, and distributed systems Our stack heavily utilizes Java and Go, but we care more about your engineering fundamentals than the specific languages you've used. Experience with relational and/or NoSQL databases (e.g., PostgreSQL, MongoDB, Redis) Experience with cloud platforms like AWS, Google Cloud, or Azure Preferred Qualifications Working on D2C, e-commerce, or transactional product engineering teams. Experience building microservices that handle complex merchant configurations, ordering states, or payment flows. A full-stack background or comfort working closely with front-end technologies. While this is a backend-heavy generalist role, an understanding of how backend systems impact front-end web customization and performance is highly valued. Passion for product impact and building systems that directly support customers and operators Why join us Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030. Changing the restaurant industry: You'll be part of a team that helps restaurants succeed in online food delivery. Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you'll work closely with other teams to ensure our customer's success. What else you need to know This role is based in our Los Angeles office location. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week. The base salary range for this role is $167,000 - $230,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others?
Job Description Job Description Position Summary The Senior Manager, Data Integrity & Governance is responsible for leading and managing the Sharp Sterile Manufacturing site data integrity initiatives, with a focus on ensuring the accuracy, completeness, consistency, and reliability of GXP data across computerized and paper-based systems. The role will oversee the site's development, implementation, and monitoring of data integrity processes, policies, and tools that align with regulatory requirements, and enable adherence to ALCOA+ principles. The site Data Integrity Lead will work closely with the site functions including; IT, Manufacturing, Quality and Engineering to enable Data Integrity compliance using a Quality risk management approach. The site Data Integrity Lead will collaborate with the Director, Data Integrity at the Allentown site to ensure alignment with corporate initiatives and the consistent implementation of Data Integrity standards, governance practices, risk assessment methodologies, training programs, and continuous improvement activities across the organization. The primary responsibilities of this role include site training on the requirements of ALCOA+, ensuring processes and procedures are in place to implement ALCOA+ principles in paper and computerized systems, ensuring that computerized system access controls, audit trail reviews and back-up and restore functions are appropriately implemented and meet cGMP requirements. The site Data Integrity Lead will also have responsibility for implementing and maintaining risk-based methodologies for the assessment and management of data integrity risks. The site Data Integrity Lead will drive a Data Integrity Management program across the Lee, MA manufacturing facility. This site-based role requires a strong leader with excellent communication skills and who is capable of prioritizing and managing multiple projects effectively. The successful candidate will be responsible for ensuring cGMP compliance as it pertains to Data Integrity Management across site operations and for implementing applicable corporate standards locally. Duties and Responsibilities Lead and maintain the site Data Integrity Management Program, including defining site objectives and scope, implementing corporate data integrity requirements, development and refinement of site procedures, implementing processes and metrics to monitor the effectiveness of the site Data Integrity program. Serve as the site Data Integrity subject matter expert (SME) during regulatory inspections and client audits, train/coach personnel on ALCOA+ principles and associated regulations and guidance documents. (e.g. GAMP5, PIC/S, 21 CFR Part 11, EudraLex Annex 11, FDA's Guidance for Industry, "Data Integrity and Compliance with Drug CGMP: Questions and Answers" (Final, 2018 . Report to the Site Quality Head and serve on the site Quality Leadership team and governance forums. Provide leadership and guidance to site functional representatives and system or process owners supporting Data Integrity objectives. Ensure site personnel understand and implement risk-based methodologies are understood and implemented as they pertain to data integrity management, especially when assessing legacy computerized systems, when validating new computerized systems and when evaluating proposed changes to existing computerized systems. Collaborate with the applicable corporate and site Data Governance, Quality, and Information Technology functions to integrate data integrity into the overall data governance framework, with particular emphasis on computerized systems and adherence to ALCOA+ principles. Collaborate cross-site to ensure that roles and responsibilities are clear regarding data management and stewardship of data integrity management. Provide guidance on the process to evaluate data integrity compliance through audits of Sharp and its suppliers. Lead or support site Data Integrity risk assessments, investigations, root cause analyses, corrective and preventive actions, and remediation plans. Ensure Data Integrity considerations are incorporated into computerized system validation, change control, incident management, periodic review, and system retirement activities. Review and trend site Data Integrity metrics, communicate program status and risks to site leadership, and drive continuous improvement and inspection readiness. Monitor relevant regulatory and industry expectations, assess site impact, and coordinate implementation of required site actions. Regulatory Responsibilities Conduct business in a responsible manner that complies with all state, OSHA, and HIPAA regulations Maintain a detailed and comprehensive understanding of FDA, EU, and other regulatory agency requirements as it pertains to data integrity. Supervisory Responsibilities This position has no direct reporting line responsibility; however, it will provide functional leadership and oversight to Data Integrity representatives and subject matter experts embedded within site operational units to support the execution of the Data Integrity Program. Experience Prefer a minimum of 5 years of experience in data management, data governance frameworks, and data quality tools, with a focus on computerized systems and adherence to ALCOA+ principles. Also prefer a minimum of at least 1.5 years in a leadership role within a pharmaceutical operation. Expertise in the application of 21 CFR Part 11, EudraLex Annex 11 and GAMP standards for data integrity and validation of automated systems is required. Proven experience of managing data integrity initiatives, particularly in relation to computerized systems, within a pharmaceutical organization. Experience collaborating cross functionally on investigations, CAPAs, risk assessments, and remediation programs associated with Data Integrity events or observations. Demonstrated history of influencing, motivating and effecting change with cross functional teams. Ability to independently determine and develop approaches to address simple to complex issues. Knowledge of and skill in using computer software and hardware applications. Excellent verbal and written communication/documentation skills with a demonstrated ability to clearly present technical topics to a non technical audience. Ability to influence and engage stakeholders at all levels. Excellent project management skills with the ability to manage multiple initiatives simultaneously. Strong analytical skills with the ability to interpret complex data sets from computerized systems and provide actionable insights. Experience of working in a sterile pharmaceutical manufacturing environment preferred. Education BS or higher degree in an IT, engineering, scientific discipline or other related field. A master's degree is a plus. Knowledge, Skills & Abilities Skilled in the use of Microsoft office applications (Word, Excel, PowerPoint) and Adobe Acrobat High attention to detail Good writing, public speaking and presentation skills Must be able to travel approximately 10% of the time Physical Requirements Ability to sit for prolonged periods of time Ability to stand for prolong periods of time as required Able to lift up to 10lbs
09/09/2026
Full time
Job Description Job Description Position Summary The Senior Manager, Data Integrity & Governance is responsible for leading and managing the Sharp Sterile Manufacturing site data integrity initiatives, with a focus on ensuring the accuracy, completeness, consistency, and reliability of GXP data across computerized and paper-based systems. The role will oversee the site's development, implementation, and monitoring of data integrity processes, policies, and tools that align with regulatory requirements, and enable adherence to ALCOA+ principles. The site Data Integrity Lead will work closely with the site functions including; IT, Manufacturing, Quality and Engineering to enable Data Integrity compliance using a Quality risk management approach. The site Data Integrity Lead will collaborate with the Director, Data Integrity at the Allentown site to ensure alignment with corporate initiatives and the consistent implementation of Data Integrity standards, governance practices, risk assessment methodologies, training programs, and continuous improvement activities across the organization. The primary responsibilities of this role include site training on the requirements of ALCOA+, ensuring processes and procedures are in place to implement ALCOA+ principles in paper and computerized systems, ensuring that computerized system access controls, audit trail reviews and back-up and restore functions are appropriately implemented and meet cGMP requirements. The site Data Integrity Lead will also have responsibility for implementing and maintaining risk-based methodologies for the assessment and management of data integrity risks. The site Data Integrity Lead will drive a Data Integrity Management program across the Lee, MA manufacturing facility. This site-based role requires a strong leader with excellent communication skills and who is capable of prioritizing and managing multiple projects effectively. The successful candidate will be responsible for ensuring cGMP compliance as it pertains to Data Integrity Management across site operations and for implementing applicable corporate standards locally. Duties and Responsibilities Lead and maintain the site Data Integrity Management Program, including defining site objectives and scope, implementing corporate data integrity requirements, development and refinement of site procedures, implementing processes and metrics to monitor the effectiveness of the site Data Integrity program. Serve as the site Data Integrity subject matter expert (SME) during regulatory inspections and client audits, train/coach personnel on ALCOA+ principles and associated regulations and guidance documents. (e.g. GAMP5, PIC/S, 21 CFR Part 11, EudraLex Annex 11, FDA's Guidance for Industry, "Data Integrity and Compliance with Drug CGMP: Questions and Answers" (Final, 2018 . Report to the Site Quality Head and serve on the site Quality Leadership team and governance forums. Provide leadership and guidance to site functional representatives and system or process owners supporting Data Integrity objectives. Ensure site personnel understand and implement risk-based methodologies are understood and implemented as they pertain to data integrity management, especially when assessing legacy computerized systems, when validating new computerized systems and when evaluating proposed changes to existing computerized systems. Collaborate with the applicable corporate and site Data Governance, Quality, and Information Technology functions to integrate data integrity into the overall data governance framework, with particular emphasis on computerized systems and adherence to ALCOA+ principles. Collaborate cross-site to ensure that roles and responsibilities are clear regarding data management and stewardship of data integrity management. Provide guidance on the process to evaluate data integrity compliance through audits of Sharp and its suppliers. Lead or support site Data Integrity risk assessments, investigations, root cause analyses, corrective and preventive actions, and remediation plans. Ensure Data Integrity considerations are incorporated into computerized system validation, change control, incident management, periodic review, and system retirement activities. Review and trend site Data Integrity metrics, communicate program status and risks to site leadership, and drive continuous improvement and inspection readiness. Monitor relevant regulatory and industry expectations, assess site impact, and coordinate implementation of required site actions. Regulatory Responsibilities Conduct business in a responsible manner that complies with all state, OSHA, and HIPAA regulations Maintain a detailed and comprehensive understanding of FDA, EU, and other regulatory agency requirements as it pertains to data integrity. Supervisory Responsibilities This position has no direct reporting line responsibility; however, it will provide functional leadership and oversight to Data Integrity representatives and subject matter experts embedded within site operational units to support the execution of the Data Integrity Program. Experience Prefer a minimum of 5 years of experience in data management, data governance frameworks, and data quality tools, with a focus on computerized systems and adherence to ALCOA+ principles. Also prefer a minimum of at least 1.5 years in a leadership role within a pharmaceutical operation. Expertise in the application of 21 CFR Part 11, EudraLex Annex 11 and GAMP standards for data integrity and validation of automated systems is required. Proven experience of managing data integrity initiatives, particularly in relation to computerized systems, within a pharmaceutical organization. Experience collaborating cross functionally on investigations, CAPAs, risk assessments, and remediation programs associated with Data Integrity events or observations. Demonstrated history of influencing, motivating and effecting change with cross functional teams. Ability to independently determine and develop approaches to address simple to complex issues. Knowledge of and skill in using computer software and hardware applications. Excellent verbal and written communication/documentation skills with a demonstrated ability to clearly present technical topics to a non technical audience. Ability to influence and engage stakeholders at all levels. Excellent project management skills with the ability to manage multiple initiatives simultaneously. Strong analytical skills with the ability to interpret complex data sets from computerized systems and provide actionable insights. Experience of working in a sterile pharmaceutical manufacturing environment preferred. Education BS or higher degree in an IT, engineering, scientific discipline or other related field. A master's degree is a plus. Knowledge, Skills & Abilities Skilled in the use of Microsoft office applications (Word, Excel, PowerPoint) and Adobe Acrobat High attention to detail Good writing, public speaking and presentation skills Must be able to travel approximately 10% of the time Physical Requirements Ability to sit for prolonged periods of time Ability to stand for prolong periods of time as required Able to lift up to 10lbs