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Forward Deployed Reliability Engineer Jobs

1,888 active opportunities · Updated for October 2026

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Explore current forward deployed reliability engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

C
1mo ago

The Role We are looking for a Senior Partner Deployed Engineer to join the Customer Solutions team, focused on building Coder’s partner ecosystem across EMEA. This is a new function at Coder, modeled on the Forward Deployed Engineer role pioneered by companies like Palantir and now the fastest-growing technical role at frontier AI companies. The difference: instead of embedding with a single customer to deploy a platform, you embed with strategic partners to help them understand, position, and deliver Coder’s platform across their entire customer base. You are part Field CTO, part Industry Strategist, part Technical Specialist, and part Partner Relations Lead. You will be the technical authority within our EMEA partner ecosystem: setting the vision for how Coder fits into each partner’s AI, cloud, and modernization offerings, co-creating the GTM sales plays that partner sellers take to market, building the demonstrations and workshops that generate pipeline, and producing the Partner Relations content that establishes Coder’s technical brand in the ecosystem. This is not a support role. You are equally comfortable holding a strategic roadmap conversation with a partner CTO and debugging a Kubernetes deployment in a partner’s lab in the same afternoon. You are energized by the challenge of building a new category through partnerships, motivated by the multiplied impact of enabling an entire ecosystem rather than a single customer, and capable of operating with full autonomy in a fast-moving startup environment. What You’ll Do Serve as the strategic technical thought partner to EMEA partner leadership, including practice leads, CTOs, and solutions architects at global systems integrators, regional cloud consultancies, and hyperscaler field teams. Own the technical relationship and set the vision for how Coder fits into each partner’s AI and modernization portfolio. Co-create sales plays tailored to each partner’s customer base, vertical focus, and services capabilitie

awsazurekubernetes
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M
1mo ago

This role oversees the lifecycle of forward-deployed engineering engagements in which MongoDB Forward Deployed Engineers (FDEs) partner closely with customer engineering teams to build working agents. It is a high-impact role at the intersection of customer delivery, AI agent development, and product feedback. By working closely with customers during implementation, the Sr. Technical Program Manager helps shape real-world agent outcomes, demonstrate the value of MongoDB’s platform in live enterprise environments, and bring back insights that can inform future product direction. These engagements are designed to help customers realize business value from our platform, accelerate successful agent delivery, and generate product feedback through close collaboration during implementation. The Sr. Technical Program Manager, FDE Engagements drives successful delivery by aligning stakeholders, managing risks and dependencies, removing operational blockers, and ensuring clear ownership, communication, and decision-making across the engagement lifecycle. In partnership with FDE, Product, Engineering, account teams, and customer stakeholders, this role is accountable for program execution and engagement outcomes. If an action item does not yet have an explicitly assigned owner, the Sr. Technical Program Manager is responsible for driving assignment and follow-through until ownership is clear. Pre-customer environment access Main goals: Secure access to the customer's internal collaboration and development tooling as early as possible Align on the intended behavior, functionality, and architecture of the agents Define how the FDE team and customer engineering team will collaborate on use case and architecture definition, code, and execution Establish the deployment path for MongoDB’s tools across customer development and cloud environments Confirm business goals, technical scope, and success criteria for the engagement During this phase, the Sr. Technical Program Manager partne

mongodbawsazure
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SA
Scale AI
📍 San Francisco• Full-time• From $180K/yr
20 days ago

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Software Engineer, you will own the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure. Build features for agentic systems including multi-layered guardrails and data retrieval optimization. Develop data pipelines and machine learning infrastructure to make data sources accessible by agents. Collaborate with cross-functional teams to execute backend solutions for secure environments. Participate in customer engagements to understand requirements and deliver technical solutions. Define requirements with stakeholders and implement features until they are accepted. Contribute to the platform roadmap and product strategy for the Federal business. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes

awsazuregcp
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SA
Scale AI
📍 San Francisco• Full-time• From $216K/yr
20 days ago

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. Manage the full lifecycle of feature development from requirement definition to deployment on classified networks. Direct the orchestration of asynchronous agent fleets to meet mission requirements. Lead customer engagements to translate mission needs into technical requirements. Own the communication with stakeholders to ensure implementation meets defined acceptance criteria. Conduct technical reviews and identify risks within machine learning infrastructure and model serving. Drive the platform roadmap by providing technical specifications for Federal product offerings. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and contai

awsazuregcp
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About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. Build the operational and technical skill set that runs global trade At Flexport, we believe global trade can move the human race forward. We're shaping the future of a $10T industry with technology and people who understand it end to end. The Rotational Development Program (RDP) exists because that combination — real supply chain fluency plus the ability to build and automate — doesn't exist at scale in the market today. So we're building it ourselves. This is an 18-month program, not a rotation for rotation's sake. Every assignment is live, revenue-generating work. Every participant leaves with a certification in AI and low-code tooling running alongside their operational and commercial training. And every graduate places into a role with real scope: primarily Account Management, with paths into Automation Engineering, Forward Deployed Engineering/Consulting, Sales Engineering, or a traditional Ops/Sales/Customs track. What you'll do You'll rotate through three functions, six months each, with AI/low-code curriculum running continuously across all three: Gateway Ops (Air or Ocean). Own the shipment lifecycle. Execute bookings, manage exceptions, and hold data int

sqlaisupply chain
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F
1mo ago

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. Build the operational and technical skill set that runs global trade At Flexport, we believe global trade can move the human race forward. We're shaping the future of a $10T industry with technology and people who understand it end to end. The Rotational Development Program (RDP) exists because that combination — real supply chain fluency plus the ability to build and automate — doesn't exist at scale in the market today. So we're building it ourselves. This is an 18-month program, not a rotation for rotation's sake. Every assignment is live, revenue-generating work. Every participant leaves with a certification in AI and low-code tooling running alongside their operational and commercial training. And every graduate places into a role with real scope: primarily Account Management, with paths into Automation Engineering, Forward Deployed Engineering/Consulting, Sales Engineering, or a traditional Ops/Sales/Customs track. What you'll do You'll rotate through three functions, six months each, with AI/low-code curriculum running continuously across all three: Gateway Ops (Air or Ocean). Own the shipment lifecycle. Execute bookings, manage exceptions, and hold data int

sqlawsai
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C
Cohere
📍 San Francisco• Full-time
1mo ago

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We’re seeking an experienced Engineering Program Manager to join Cohere’s customer-facing Engineering Program Management team. We need someone with curiosity, drive, independence, and leadership, who has hands-on experience working directly with customers and managing projects for enterprise-grade software or enterprise-focused machine learning solutions. In return, you’ll have the unique opportunity to shape Cohere’s operations, collaborate with leading minds in the LLM space, work directly with our Strategic Customers as well as Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform , Product and Go-to-Market teams, and be the “technical” voice of Cohere for the customer. You will get a chance to create extremely high-impact contributions to our fast-growing company, product and culture. As an Engineering Program Manager/ Technical Program Manager, you will: Communicate: Provide clear, timely, and objective communication across the tech organization, Cohere teams, leadership, and most importantly - our strategic customers and external partners. Optimize: Break down complex issues into strateg

gitmachine learningai
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The Senior Enterprise Engineer opportunity Statsig is building an Enterprise Engineering team for engineers who want unusually direct ownership of high-stakes customer outcomes. Like a Forward Deployed Engineering team, Enterprise Engineering works extremely close to customers and tackles the technical problems that matter most to them. The difference is the scope of ownership. Forward Deployed Engineering is often concentrated around implementation or onboarding; Enterprise Engineering is responsible for a customer’s technical success throughout the entire customer journey. You’ll stay close as needs evolve, answering questions, investigating across the stack, identifying root causes, shipping fixes and features, and remaining accountable through resolution. This is a software engineering role with a tight customer feedback loop. It is ideal for a pragmatic generalist, especially someone with backend or infrastructure depth who enjoys ambiguous problems, production systems, fast decisions, and immediate impact. What you’ll do Serve on the engineering front line in Unthread, our Slack aggregation and workflow layer, for key customer accounts. Answer technical questions by reading the code, tracing behavior, inspecting production signals, and building a clear explanation, not by forwarding the thread. Diagnose and fix bugs, then validate the outcome with the customer. Design and implement product or platform features when doing so is the fastest, highest-quality way to solve the customer’s problem. Act as the engineering point of contact for urgent issues in key customer accounts’ Slack channels, coordinating the response while retaining technical ownership. Represent engineering in customer office hours and, for selected accounts, recurring weekly meetings. Partner closely with customer-facing and product teams while maintaining crisp ownership, communication, and escalation paths. Identify recurring patterns and improve tooling, documentation, observability, APIs,

gitrestai
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Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We’re seeking an experienced Engineering Program Manager to join Cohere’s customer-facing Engineering Program Management team. We need someone with curiosity, drive, independence, and leadership, who has hands-on experience working directly with customers and managing projects for enterprise-grade software or enterprise-focused machine learning solutions. In return, you’ll have the unique opportunity to shape Cohere’s operations, collaborate with leading minds in the LLM space, work directly with our Strategic Customers as well as Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform , Product and Go-to-Market teams, and be the “technical” voice of Cohere for the customer. You will get a chance to create extremely high-impact contributions to our fast-growing company, product and culture. Please Note : This role is open to candidates based in Korea As an Engineering Program Manager/ Technical Program Manager, you will: Communicate: Provide clear, timely, and objective communication across the tech organization, Cohere teams, leadership, and most importantly - our strategic customers and extern

gitmachine learningai
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A
1mo ago

As the Vice President of Asana Services Management & Incubation GTM, you’ll own Product Management, GTM strategy, and the incubation Sales Engineering / Forward Deployed team for Asana Service Management, Asana’s most promising 0→1 product. Asana Service Management unifies ticketing and project execution for IT, HR, facilities, and other service teams to resolve key issues without human touch. This is a rare role with a direct reporting line across both Product Management and Sales Engineering / Forward-Deployed Engineering, combined with full P&L responsibility. In this high-leverage VP-level role, you will act as an entrepreneurial leader. You will sit at the intersection of sales, technical execution, and product development—owning the GTM strategy, engaging directly with mid-market customers to close business, and translating front-line market insights into a concrete product roadmap and product execution. This is a "player-coach" role designed for someone who thrives in ambiguity and knows how to scale a technical GTM motion within a fast-growing SaaS environment. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Drive Incubation GTM Strategy: Architect and execute the global commercial and go-to-market strategy for Asana for Service Management, taking it from early-stage concepts to repeatable, revenue-generating engines. Engage with Customers & Assist in Closing Deals: Serve as a key executive sponsor and technical seller on strategic deals, regularly interfacing with enterprise customers to understand their complex workflows and build trust. Own Product Roadmap

restaigo
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E
1mo ago

About the role As a Deployment Strategist, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be. No two days are the same, but as a Deployment Strategist you can expect to: Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents. Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close. Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team. Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineers to bring them to life. Guide customers on best practices for deploying our products (e.g. ElevenAgents); including agent design, agent orchestration, production readiness to maximize adoption and impact. Scope out potential applications in new industries and expand our AI solutions across different sectors globally. Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives. Collaborate with our Research teams to feed field insights back into ElevenLabs' platform and models, helping shape the roadmap. Build and deliver compelling demos of ElevenAgent

pythonaigo
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E
1mo ago

About the role As a Deployment Strategist, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be. No two days are the same, but as a Deployment Strategist you can expect to: Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents. Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close. Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team. Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineers to bring them to life. Guide customers on best practices for deploying our products (e.g. ElevenAgents); including agent design, agent orchestration, production readiness to maximize adoption and impact. Scope out potential applications in new industries and expand our AI solutions across different sectors globally. Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives. Collaborate with our Research teams to feed field insights back into ElevenLabs' platform and models, helping shape the roadmap. Build and deliver compelling demos of ElevenAgent

pythonaigo
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About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and Dashers. Security Engineering is paramount to the success of our business, and DoorDash Security aspires to be one the world’s most admired Security Engineering team. We are committed to building the world's most trusted on-demand, logistics engine for delivery! We're expanding our team of great minds to help us secure and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash’s multi-sided marketplace of consumers, merchants, and drivers. About the Role Our Proactive Security Engineering team is looking for a Staff Security Engineer, Proactive Security to execute on Dasher Security Product Engineering following a forward deployed engineering Pod model.You will be a part of our inclusive, collaborative forward deployed engineering team responsible for building “paved road” Security Product controls directly into our Dasher products to ensure a safe, secure and resilient delivery network. This is not a classic Product Security role performing reviews and operating platform products, this is a forward deployed model where we operate in Pods that focus on domain code bases to build and ship Dasher Security Products focusing on application hardening, anti-app reversing, and payment security in our global Dasher ecosystem.This is a US remote position reporting directly to the Manager of our Proactive Security Engineering team. You’re excited about this opportunity because you will… Lead the technical direction and roadmap for hardening of Dasher Security Products at DoorDash. Partner cross-functionally with Product Engineering, Legal, Security Engineering Platform, Data teams and XFN partners to build “paved road” proactive security controls that enable secure by design AI products into DoorDash eco-system. Examples of Dasher Security Products this team will focus on i

REMOTEjavaaiExcel
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SA
Scale AI
📍 San Francisco• Full-time• From $252K/yr
20 days ago

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineeri

pythonawsazure
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S
Stripe
📍 Us Remote• Full-time• Remote
1mo ago

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Abuse Operations is the front-line incident response and remediation function handling active product abuse and fraud impacting Stripe and its merchants. This multi-disciplinary group, spanning Incident Managers, Investigators, Forward Deployed Security Engineers, and Data Scientists, neutralizes active attacks, gathers requirements for operational tooling, and leads incidents. The team works directly with impacted merchants to resolve technical incidents and policy abuse rapidly. Operating primarily across Eastern, Pacific and Western European time zones, these team members regularly coordinate with global stakeholders across the world. What you’ll do You'll play a critical role in safeguarding our financial ecosystem by investigating high-risk accounts and identifying complex patterns of fraud during incidents. You will lead incident response for product abuse and fraud events, conducting deep-dive analyses to identify root causes. By collaborating cross-functionally, you will drive improvements that enhance our fraud detection and prevention strategies at scale. Your expertise will be essential in automating response processes through agentic approaches, allowing us to safeguard merchants and neutralize threats with speed and precision. Responsibilities Investigate, mitigate, and remediate urgent fraud incidents (e.g., ATO, card testing), utilizing FT3-mapped detection and signals enrichment to reduce uncertainty and accelerate resp

REMOTEpythonsqlgit
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