Forward Deployed Engineer

YOUR MISSION: As the Director of Forward Deployed Engineering, AMER (FDE) at Parloa, you will be at the forefront of our enterprise AI initiatives. Your primary objective is to establish and lead a top-tier FDE organization that guarantees consistent, high-quality, and scalable implementations of our enterprise solutions. Additionally, you will play a crucial role in integrating field insights to drive product and platform evolution. Your responsibilities extend beyond project delivery excellence; you will help define the operational framework that drives enterprise AI adoption at Parloa. This includes setting operating models, enhancing technical standards, fostering leadership within the FDE team, and ensuring that our deployments evolve into productized solutions. In this pivotal position, you will bridge the gap between product development and the realities of enterprise deployment, ensuring that the actual experiences of our clients enrich our product offerings rather than dilute them. IN THIS ROLE YOU WILL: Regional FDE Strategy & Operating Model: Create scalable delivery frameworks (including pods, vertical focuses, and specialization layers) that balance customization with productization to optimize impact and profitability. Build and Develop a High-Performance Organization: Recruit, mentor, and develop Team Leads and senior FDE professionals while enhancing leadership potential within the organization through succession planning, career pathways, and growth opportunities. Establish robust performance metrics and accountability systems while cultivating a culture of ownership. Ensure Predictable, High-Quality Enterprise Delivery: Take ownership of delivery health for all strategic projects by implementing scalable capacity planning, forecasting, and utilization management processes. Standardize project governance: Implement risk management practices, create escalation protocols, track dependencies, and define quality benchmarks for architecture, security, reliability, and maintainability. Ensure consistent production stability in enterprise environments. Drive Technical Excellence & Architectural Standards: Establish architectural guidelines and reference patterns for enterprise deployments. Implement review protocols for high-stakes technical decisions and ensure repeatable integration practices across enterprise systems (APIs, identity management, data pipelines). Maintain strong technical credibility in cloud infrastructure, backend systems, and AI design. Leverage Field Learnings into Product Enhancements: Identify common implementation trends and advocate for productization. Collaborate closely with Product and Core Engineering teams to minimize custom implementations and provide strategic input on roadmap prioritization using structured field data.

About Our TeamAt OpenAI, our Forward Deployed Engineering team collaborates closely with clients to transform groundbreaking research into fully operational systems. We thrive at the intersection of customer engagement and core platform innovation.About the RoleAs a Forward Deployed Engineer (FDE), you will spearhead intricate end-to-end deployments of cutting-edge models alongside our most significant clients. Your responsibilities will encompass discovery, technical scoping, system architecture, development, and production rollout, collaborating directly with customer engineering teams and domain experts.Your success will be measured by the adoption of solutions in production, tangible workflow improvements, and feedback that informs product and model evolution. You will work in close partnership with our Product, Research, Partnerships, Governance, Risk & Compliance (GRC), Security, and Go-To-Market (GTM) teams.This role is based in New York City with a hybrid work model of three days in the office weekly. We provide relocation assistance and require travel of up to 50%.Key ResponsibilitiesLead the technical delivery across various deployments from initial prototypes to stable production environments.Develop full-stack systems that generate customer value and enhance our learning processes.Integrate closely with client teams to understand their requirements and facilitate the adoption of your solutions.Scope projects effectively, sequence deliveries, and proactively eliminate obstacles.Balance trade-offs between project scope, speed, and quality; adapt plans to ensure timely delivery.Contribute directly to coding when clarity or progress is essential.Document effective practices into tools, playbooks, or reusable components for team utilization.Provide field feedback that informs Research and Product teams about model performance and areas for improvement.Keep project teams on track through clear communication and effective follow-through.Ideal Candidate ProfilePossesses over 5 years of engineering or technical deployment experience, particularly in customer-facing roles.Has experience in scoping and delivering complex systems within dynamic or uncertain environments.Skilled in writing and reviewing production-quality code for both frontend and backend using Python, JavaScript, and other relevant technologies.

About Our TeamAt OpenAI, the Forward Deployed Engineering (FDE) team is at the forefront of transforming groundbreaking research into robust production systems. We collaborate closely with our clients to tackle high-impact challenges, functioning as the driving force behind our most intricate large-scale projects. Our agility allows us to swiftly transition from prototype stages to production, establishing reusable patterns that enhance our platform. Our work bridges the gap between deployment and development, enabling us to partner effectively with OpenAI Research, Product, and Partnerships.About the RoleAs a Technical Deployment Lead (TDL), you will be instrumental in shaping how OpenAI delivers sophisticated systems to our customers. You will take full ownership of their construction, delivery, and adoption processes. Your role will involve translating business objectives into comprehensive technical plans, overseeing daily operations across FDEs, Researchers, and Customer Engineers, and collaborating with customer teams to ensure our deliverables meet their objectives.You will manage the complete delivery process: working alongside customers to outline workflows and success metrics, ensuring timely shipment of components, and leading readiness and change management initiatives for effective adoption. Your responsibilities will include monitoring progress, managing dependencies, making sequencing decisions, and driving the development of prototypes from inception to minimum viable product (MVP) and full-scale implementation. Additionally, you will share valuable field insights with Product and Research teams to inform roadmap decisions and priorities.Your success will be evaluated primarily by the impact of deployments that yield tangible value against customer objectives, encourage adoption, and become integral to their operational workflows. Additional success metrics will include reliability of delivery (meeting milestones, minimal reopen/churn), operational efficiency (reusable patterns across deployments), decision-making under pressure, and product impact (field insights that influence roadmaps and architectures).This role demands a high level of trust and autonomy. To thrive, you will need extensive technical project management expertise, a profound sense of ownership over outcomes, and the ability to immerse yourself in customer workflows while collaborating with teams to address complex engineering challenges promptly.This position is based in New York City, utilizing a hybrid work model that requires three days in the office per week. Relocation assistance is offered, and travel is expected to range between 25% to 50%.

About Our TeamAt OpenAI, our Forward Deployed Engineering team collaborates closely with clients to transform groundbreaking research into fully operational systems. We thrive at the intersection of client success and core platform innovation.About the RoleWe are seeking a dedicated Forward Deployed Engineer (FDE) to spearhead comprehensive deployments of our AI models within leading financial institutions, including banks, asset managers, and private equity firms. This role is pivotal in integrating next-generation AI capabilities into their operational workflows, investment strategies, and portfolio management. You will oversee the entire process from initial discovery and technical scoping to system design, implementation, and live deployment, working directly alongside the customer’s engineering and domain teams.Your success will be measured by the adoption of our solutions in production environments, the quantifiable impact on operational workflows, and actionable feedback that influences our product and model roadmaps. You will collaborate closely with our Product, Research, Partnerships, Governance, Risk & Compliance, Security, and Go-to-Market teams.This position is based in New York City, following a hybrid work model that requires three days in the office each week. We offer relocation support and require travel up to 50% of the time.Key ResponsibilitiesLead technical delivery for multiple projects from initial prototype through to stable production.Develop full-stack systems that provide substantial value to customers while enhancing our learning processes.Work closely with customer teams to identify their needs and facilitate the adoption of solutions you develop.Manage project scopes, sequence deliverables, and proactively address challenges.Balance trade-offs among scope, speed, and quality, adjusting plans as necessary to ensure successful delivery.Contribute directly to coding efforts when necessary to drive progress and clarity.Document effective working practices into tools, playbooks, or frameworks that can be utilized by others.Provide field insights that inform Research and Product teams about model performance and improvement areas.Maintain team momentum through clear communication and dedicated follow-through.Ideal Candidate ProfilePossess 5+ years of experience in engineering or technical deployment, particularly in customer-facing roles.Have a robust background in the financial services sector...

Join Brillio as a Forward Deployed AI Engineer (FDE) where you will play a pivotal role in delivering cutting-edge AI solutions directly to our clients. As an FDE, you will collaborate with cross-functional teams to integrate AI technologies into existing systems and innovate new applications. Your expertise will not only enhance our product offerings but will also provide significant value to our clients, ensuring they remain at the forefront of technology.

Join Harvey as the Director of Forward Deployed Engineering where you will lead innovative engineering initiatives aimed at deploying cutting-edge technology solutions. In this pivotal role, you will collaborate with cross-functional teams to ensure seamless integration and deployment of engineering projects that drive efficiency and customer satisfaction.

Team OverviewJoin OpenAI's innovative Forward Deployed Engineering team, where we collaborate with leading pharmaceutical and biotechnology companies, contract research organizations (CROs), and academic research institutions. Our mission is to leverage advanced AI technologies to enhance the R&D value chain, aiding our clients in designing and deploying robust AI solutions that meet production-grade standards. We thrive at the nexus of customer success and core platform development, transforming initial deployments into scalable systems and standardized evaluation practices suitable for regulated environments.Role DescriptionWe are seeking a skilled Forward Deployed Engineer (FDE) to redefine the boundaries of drug discovery and development, including target identification, molecular design, clinical trial design, and biostatistics. In this role, you will lead comprehensive deployments of our AI models within life sciences organizations and research institutions, bridging the gap between complex scientific domains and production-ready systems. Your expertise will be vital in translating real-world data and operational constraints into effective AI solutions.Success in this role will be measured by the adoption of your solutions in production environments, the tangible impact on workflows, and the establishment of continuous feedback loops that utilize evaluation benchmarks to shape our product and model roadmaps. You will collaborate closely with teams across Product, Research, Partnerships, Governance, Risk and Compliance (GRC), Security, and Go-To-Market (GTM) to ensure successful delivery within regulated settings, maintaining inspection readiness with comprehensive audit trails and traceable evidence.This position is based in New York City, following a hybrid work model requiring three days in the office each week. We offer relocation assistance, and travel may be required up to 50% of the time.Key ResponsibilitiesDesign and implement production systems centered around AI models, managing integrations, data provenance, reliability, and on-call support across research, clinical, and operational workflows.Lead the discovery and scoping process from pre-sales to post-sales, translating ambiguous workflow requirements into hypothesis-driven problem statements, system specifications, and actionable plans with clear metrics for success.Establish and enforce launch criteria for regulated environments, including validation documentation, audit preparedness, and outcome measurement, driving delivery until sustained production impact is achieved.Develop systems within sensitive scientific data environments where auditability, validation, and access controls dictate system architecture, operational protocols, and failure management strategies.Conduct evaluation cycles to assess model and system performance, ensuring continuous improvement and alignment with project goals.

About Our TeamAt OpenAI, our Forward Deployed Engineering (FDE) team plays a pivotal role in collaborating with clients to transform cutting-edge research into fully operational systems. We thrive at the intersection of client engagement and essential platform innovation.About the RoleAs the FDE Manager, you will guide your team through complex and high-pressure customer deployments while taking full ownership of both technical and business outcomes. You'll cultivate a resilient team capable of performing under pressure, ensuring that OpenAI continually learns from real-world applications.In this position, you will work closely with Product, Research, Sales, and Go-To-Market teams to ensure that insights from fieldwork shape our roadmap priorities, fuel new initiatives, and facilitate secure large-scale deployments. Your strategic decisions will significantly impact the trust our customers place in OpenAI, and your success will be evaluated based on your team's delivery frequency, the clarity of communication to Research and Product sectors, and the long-term effectiveness of your team and delivery model.This role is based in New York City and follows a hybrid work model, requiring three days in the office each week. We offer relocation assistance, and the position may involve travel up to 25% of the time.Key ResponsibilitiesLead and develop a team of FDEs responsible for deploying advanced production systems with innovative models.Oversee end-to-end delivery outcomes by ensuring clarity, speed, coordination, and technical excellence.Document successful processes into tools, playbooks, and roadmap contributions to enhance the productivity of OpenAI and the broader developer ecosystem.Identify early warning signs and address them promptly, whether related to product performance, customer environments, or operational practices.Exercise sound judgement in determining actionable items versus those that do not require intervention.Establish high-performance standards for the FDE team while fostering individual growth through targeted, constructive feedback.Define staffing and support strategies for field teams that can scale efficiently without added complexity.Ideal Candidate ProfilePossess over 8 years of engineering or technical delivery expertise, including at least 2 years in managing high-performing FDE or customer-facing engineering teams.Demonstrated experience leading high-stakes technical projects from initial prototype to successful production.Proficient in writing and reviewing production-grade code with a focus on quality and maintainability.

About The RoleTaktile is revolutionizing the way financial institutions leverage AI for pivotal decision-making, and our growth trajectory is accelerating. In your role as a Senior Forward Deployed Engineer, you will be integral to this transformation, overseeing the technical process from onboarding clients to deploying production-grade AI systems that create tangible business value.If you have a fervor for technology and AI, keep abreast of the latest advancements in the field, and possess substantial expertise in Python, SQL, and REST APIs, you will excel in this position.Your Responsibilities as a Senior Forward Deployed Engineer:Spearhead intricate AI-driven deployments for Taktile, managing the technical delivery across various projects, from defining impactful AI use cases to ensuring stable production.Leverage your technical prowess, problem-solving capabilities, and creativity to assist organizations in tackling real-world challenges. Your daily tasks may encompass designing solution architectures, developing decision logic, deploying production-ready Generative AI agents, and collaborating with key customer stakeholders, all while ensuring an exceptional experience and swift value realization for Taktile’s clientele.Efficiently scope tasks, sequence project delivery, and proactively eliminate obstacles, while judiciously balancing scope, speed, and quality to guarantee successful and timely project outcomes.Collaborate with Taktile’s product management team to translate your insights into actionable product enhancements, significantly influencing Taktile’s product development roadmap.Create reusable resources, best practices, and tools to share your expertise and scale the forward deployed engineering function within the organization.About You:You possess 4-6 years of engineering or technical deployment experience, particularly in customer-facing roles.You have a robust technical foundation, ideally in fields like Computer Science, Mathematics, Software Engineering, Physics, or Data Science.You are proficient in writing and reviewing production-quality Python and SQL, and have a strong grasp of REST API design and integration.You excel at deconstructing complex issues and making swift, informed decisions even in high-pressure situations.You foster strong relationships with both technical and non-technical stakeholders, driven by curiosity and a customer-centric approach that enables you to understand their needs thoroughly.

iCapital is revolutionizing the alternative investment landscape with our innovative financial technology platform. Our solutions have redefined how advisors, wealth management firms, asset managers, and banks assess and recommend personalized public and private market strategies for their affluent clients. As of June 2025, iCapital manages approximately $945 billion in global client assets across 1,940 funds. Recognized by Forbes as a leading Fintech company for seven consecutive years (2018-2024), we have also been acknowledged as one of the Best Startup Employers by Forbes (2021-2023) and a four-time recipient of the MMI/Barron’s Solutions Provider award.

MISSION: As a Senior Forward Deployed Engineer (SFDE) at Parloa, you will be at the forefront of integrating enterprise AI, deploying innovative technologies in some of the most intricate environments globally. Your objective: spearhead end-to-end deployment projects from an engineering standpoint—going beyond mere implementation to engineer solutions that guarantee success at an enterprise scale. As an FDE, you will serve as our in-field product engineer. You will create solutions that do not yet exist, adapt architectures to meet enterprise demands, and develop integrations across various systems and APIs to facilitate successful deployments. Your approach is hands-on and code-centric, focusing on building, debugging, and engineering solutions directly on-site. The outcomes of your work not only ensure deployment success but also shape how customers engage with Parloa and influence the evolution of our product. This role transcends maintenance; it is about engineering viable solutions for production under real-world enterprise constraints, executed swiftly and at scale. IN THIS ROLE YOU WILL: Lead deployment engineering projects: Oversee the technical execution (including product engineering) of Parloa’s deployments in large, complex enterprise settings. Design for scalability and resilience: Architect deployment solutions that meet enterprise-grade standards for performance, reliability, and security. Innovate where required: Develop custom extensions, integrations, and configurations to fulfill product gaps and meet enterprise requirements. Collaborate across systems and stacks: Operate at the nexus of backend engineering, DevOps, and data engineering to assure seamless delivery. Work with enterprise teams: Partner directly with customer engineering groups to navigate constraints and deliver measurable outcomes. Mentor and guide: Collaborate with and offer technical support to junior field engineers. Engage at senior levels: Interact with enterprise architects and senior technical stakeholders, discussing solutions and architectures in depth to ensure alignment and credibility. Diagnose issues under pressure: Quickly resolve challenges in mission-critical environments to guarantee customer success. Influence product direction: Serve as the feedback conduit between field operations and our core engineering teams, helping to transform deployment learnings into product enhancements.

At August, we are pioneering AI solutions tailored specifically for law firms, focusing on enhancing the practice of law for mid-sized firms where efficiency and client service are paramount. Our innovative platform streamlines the drafting, reviewing, and analyzing of legal documents, significantly reducing the time required for these processes from hours to mere minutes. Trusted by progressive law firms across the U.S., Australia, and Asia, and supported by prominent investors including NEA, Pear VC, and Stanford Law, we are positioned for global expansion.We operate at a rapid pace, learning directly from our clients, and we are committed to harnessing AI technology to transform legal practices.The OpportunityJoin us as we develop AGI for law, where our intelligent agents replicate the reasoning, research, and drafting capabilities of human lawyers, consistently outperforming traditional attorneys in independent evaluations. Our focus is on mid-market law firms, automating legal workflows and enabling firms to provide our advanced tools directly to their clients. As a Forward Deployed Engineer (FDE), you will engage directly with our customers to translate complex workflows into reliable, deployed solutions. You will be responsible for scoping, prototyping, integrating, and managing production systems, overseeing everything from SSO and data ingestion to user experience and pilot project success.What You’ll DoLead Customer Deployments: Conduct discovery sessions, define success metrics, and deliver pilot projects that drive expansion.Implement Real-World Solutions: Develop and integrate adapters, webhooks, and APIs (such as iManage/NetDocs, SharePoint, Outlook, and Word add-ins); ensure seamless integration with SSO/SAML/OIDC and tenant isolation.Develop Reusable Products: Convert custom integrations into configurable modules, SDKs, templates, and internal documentation.Enhance Time-to-Value: Identify and eliminate bottlenecks (data migrations, redlines, policy constraints) to ensure pilot projects deliver results in weeks, not months.About YouExperience: A minimum of 2 years in building production software (full-stack or platform), with the ability to navigate unfamiliar APIs and deliver in complex real-world environments.Proficient in TypeScript/JavaScript (with experience in React/Next.js for user interface design) and at least one backend programming language (e.g., Node.js, Python).

About ClarionAt Clarion, we believe that scheduling healthcare appointments shouldn't be a daunting task. Currently, the healthcare system is overwhelmed with call backlogs, faxes, and scheduling requests, leading to patient dissatisfaction and staff burnout, ultimately resulting in significant financial losses for clinics. This is not a failure of care, but a failure of capacity.Our mission at Clarion is to address this challenge on a large scale. We utilize AI agents to manage the entire patient journey, from scheduling and rescheduling appointments to handling referrals and prescription refills. Our AI seamlessly executes complex workflows with a human-like touch that resonates with patients.With $5.5M raised from top-tier investors including Accel, Y Combinator, and Sequoia, along with insights from healthcare leaders at Ophelia, Medallion, and Counsel Health, we are a dedicated in-person team based in New York City, rapidly advancing to ensure every patient receives essential care.Why Join Us?Real-World Impact: Join us in tackling a significant issue that affects millions of patients and providers daily. Our AI agents not only excel beyond human schedulers but also reclaim precious time for healthcare professionals to focus on patient care.Proven Market Validation: Our company has achieved a remarkable 10x revenue growth in the past year alone, managing millions of interactions for clients ranging from virtual care clinics to a $5B health insurance provider.Expert Leadership: Our co-founders possess extensive experience in the healthcare sector. Our CEO is a Stanford and Harvard-trained physician and clinical operations leader, and our CTO is a former Amazon Alexa engineer who previously led AI and machine learning teams at Salesforce.Significant Early Contributions: As a member of our early-stage team, your contributions will significantly influence our company’s direction, processes, and culture, allowing you to make an immediate impact.In-Person Collaboration: We have prioritized in-person collaboration since our inception, recognizing it as a strategic advantage. This approach fosters rapid progress, strong relationships, and a unified company culture.Your ResponsibilitiesDevelopment and Deployment: Write production-quality code, build integrations, configure AI agents, and implement platform logic based on customer workflows and scheduling rules.End-to-End Project Management: Create and oversee technical project plans from scoping to go-live. You will coordinate internal resources, delegate workstreams, and ensure timely project completion.

As a Deployment and Test Engineer at swoop, you will play a critical role in ensuring the seamless deployment of our software applications. Your expertise will help us maintain high standards of quality and reliability in our products. You will collaborate with cross-functional teams to design, implement, and execute testing strategies that align with our deployment goals.

Join Fluidstack as a Network EngineerAt Fluidstack, we are pioneering the infrastructure for the next era of intelligence. By collaborating with prominent AI laboratories, governmental bodies, and leading enterprises like Mistral, Poolside, Black Forest Labs, and Meta, we strive to deliver computing capabilities at unprecedented speeds.Our mission to realize Artificial General Intelligence (AGI) drives our team to work with passion and dedication. We prioritize our clients' success as our own and take immense pride in the infrastructure we build and the trust we cultivate. If you are purpose-driven, committed to excellence, and excited to contribute to the future of intelligence, we invite you to join us on this innovative journey.Role OverviewWe are seeking a skilled Network Engineer to become an integral part of our Deployment & Integration team. In this hands-on role, you will be responsible for constructing and validating large-scale AI data center network infrastructures. Your responsibilities will include deploying modern data center fabrics, configuring switches, validating physical layer connections, collaborating with cross-functional teams to address challenges, and ensuring a seamless transition to operations.This position is perfect for engineers who thrive in dynamic environments and wish to gain extensive experience in large-scale data center deployments. You will collaborate closely with senior engineers who will provide you with technical mentorship and structured onboarding as you hone your skills in AI fabric deployment. Achieving success in this role means independently managing pod deployments, becoming the go-to expert for field execution, and progressing into leadership roles as our organization expands.Key ResponsibilitiesDeployment Execution: Oversee the deployment and validation of data center network infrastructure, including front-end and back-end fabrics, Building Management Systems (BMS), and management networks. You will configure switches, install and validate optics, coordinate fiber and cabling work, and guide deployments to completion, taking ownership of transforming designs into operational networks.Physical Layer Validation: Ensure physical connectivity adheres to production standards. Coordinate with structured cabling teams for fiber remediation, validate insertion loss and Optical Time-Domain Reflectometer (OTDR) traces, troubleshoot optical layer issues, and document physical infrastructure as-built. You will develop expertise in diagnosing and resolving physical layer challenges that impede deployments.Hardware Lifecycle Management: Manage hardware logistics such as device staging, rack and stack coordination, Return Merchandise Authorization (RMA) processes, and Data Center Infrastructure Management (DCIM) updates. Monitor hardware inventory, coordinate vendor shipments, and ensure device readiness.

About SolvaAt Solva, we are revolutionizing the insurance industry with cutting-edge AI technology, targeting the $8 trillion market starting with claims processing. Our company has secured $6 million in funding from prestigious investors including First Round, Y Combinator, and SV Angel, as well as notable angel investors like Paul Graham, who have previously supported giants such as OpenAI, Google, and Stripe. Our advisory board is comprised of seasoned executives and founders in the insurance sector.Our team has a proven track record of success, having played a key role in creating Europe’s fastest-growing InsurTech and launching a licensed EU bank that processes over €1 billion annually. Now, we are setting our sights on reshaping one of the world’s largest industries using the power of AI.As a Y Combinator S25 company, Solva is among the fastest-growing and best-funded startups today.About the RoleJoin us as a Forward Deployed Engineer, where you will collaborate closely with our customers and product team to implement our AI systems in real-world claims environments. This dynamic role bridges engineering, product development, and customer operations. You will leverage your technical expertise to analyze workflows, data, and requirements from insurers, transforming them into critical production solutions.Your daily responsibilities will include building integrations, processing pipelines, fine-tuning our product to meet specific customer needs, and addressing real-world challenges through AI and data solutions. You will oversee the entire process from customer requirements to delivered solutions, taking ownership of your contributions.This position is ideal for someone who thrives in fast-paced environments, adeptly shifts between technical problem-solving and customer interactions, and seeks to witness the tangible impact of their work. This is a full-time opportunity.What You’ll DoEngage directly with insurers to gain insights into their claims workflows, data, and system requirements.Develop and maintain seamless integrations between Solva and client systems.Customize and adapt AI-driven workflows for tailored use cases.Identify and troubleshoot issues in data, logic, or system functionality, collaborating with the team to resolve them.Translate real-world client needs into precise technical specifications for engineering teams.Oversee pilot projects from inception to execution, ensuring smooth operation in production.Provide field insights to enhance product reliability and performance.What We’re Looking ForStrong engineering background with a passion for technology and problem-solving.Excellent communication skills to effectively liaise with customers and team members.Proven ability to work in a fast-paced, agile environment.

About Our TeamAt OpenAI, our Forward Deployed Engineering (FDE) organization is at the forefront of bridging product development, engineering, research, and market strategies. We collaborate with design partners to transform innovative platform capabilities into real-world applications, shaping software and creating sustainable products based on genuine customer feedback.The FDE Platform team plays a crucial role in amplifying the impact of our organization on OpenAI’s platforms and products. We work closely with customer-focused FDE pods, providing essential support in architecture, product development, refactoring, and implementation. This position is ideal for collaborative software engineers eager to innovate and build state-of-the-art products alongside like-minded professionals.About the RoleAs a Platform Engineer within the Forward Deployed Engineering team, you will be instrumental in developing new platform capabilities, rooted in actual customer deployments. You will collaborate with customer-focused FDE engineers who are dedicated to delivering impactful customer outcomes, embedding yourself where your contributions can maximize effectiveness. This involves engaging deeply in architecture, product shaping, refactoring, and the creation of reusable frameworks while ensuring the FDE pods maintain their ownership of customer insights and daily execution. You will also work closely with our B2B Platform Team and other long-term stakeholders to establish early alignment on which elements should be generalized, which should remain specific to customers, and what successful handoff looks like.No travel is required for this role. The position is available in San Francisco or New York City, utilizing a hybrid work model that includes three days in the office each week. We provide relocation assistance, and while travel is generally less than 10%, it may increase for key projects or launches.In this Role, You WillProvide Direct Support to Customer Pods: Collaborate with customer-focused FDE teams to aid in generalization by actively participating in architecture, product shaping, refactoring, and execution.Transform Customer Insights into Strategic Platform Initiatives: Convert recurring customer signals into clear hypotheses with defined success metrics, project scope, and validation strategies tailored to real-world constraints.Elevate Engineering Standards: Establish organization-wide quality benchmarks through detailed code reviews and mentorship, while developing lightweight developer tools that prioritize good architecture, readability, and correctness.

About GovWellAt GovWell, we believe that citizens and taxpayers deserve access to efficient government services. Our mission is to revolutionize how local agencies engage with communities through our innovative AI-driven operating system.We are dedicated to replacing outdated software used by municipalities and counties, enabling public servants to drastically improve public service delivery and reduce permit and license processing times by up to 90%.Founded in 2023, GovWell currently supports over 5,000 essential processes across 30+ states, impacting millions of residents. Having secured $10 million in seed funding from prestigious investors such as Work-Bench and Bienville Capital, our team operates from our headquarters in New York City. To learn more about our journey, check out our feature in TechCrunch. Why Join GovWell?Meaningful Mission: We are on a journey to create AI-powered solutions that modernize outdated government systems, providing a historic opportunity to enhance the relationship between citizens and their government, ensuring taxpayer dollars deliver high-quality services. WATCH: Mission & Vision with CEO & Co-Founder Troy LeCaireImpactful Work: Be part of a system that serves millions of Americans, affecting areas such as small business permitting and the acceleration of affordable housing initiatives. Your contributions will yield immediate results.Startup Growth Experience: As a rapidly growing startup with a 4X annual recurring revenue growth in the past year, you will gain valuable insights into building a successful business while enjoying autonomy and ownership in your role. Role OverviewGovWell is seeking a Software Engineer, Deployment to accelerate our growth in an industry often plagued by slow and cumbersome implementations.Unlike our competitors, who can take over 18 months to onboard clients, GovWell achieves customer launches within 3 months or less. As we venture into larger, more intricate enterprise settings, our objective is to ensure that deployments are not only speedy but also systematic and replicable.

Join Our Mission at CredalAt Credal, we leverage cutting-edge AI technology to empower those who are dedicated to creating a brighter future. We focus on enhancing the complex operations of significant institutions while integrating security and governance in every facet of our offerings. Our esteemed clients include the U.S. Department of Health and Human Services, MongoDB, Comcast NBC Universal, Lattice, Wise (formerly TransferWise), Checkr, and incident.io, among others.Having successfully raised over $10 million, we are well-positioned for growth. You will be part of a team of Thoughtful Doers™ hailing from renowned companies such as Palantir, Cruise, Meta, Uber, and Google. Our workspace is in-person at our spacious NYC office, where we provide meals to our team.Your Responsibilities:Be the trusted partner for our customers when they need assistance, actively engaging with them through Slack and in-person meetings.Develop Proofs of Concept (POCs) to facilitate deals and enhance time-to-value.Lead design partnerships with end-users to influence the product roadmap.Gain a comprehensive understanding of each customer's specific use case and business goals, advocating for them internally.Define and refine the playbooks, processes, and tools that enable us to scale successful initiatives.Manage the onboarding experience, ensuring high-quality documentation and addressing user friction points.Your Profile:You may be a perfect fit if you are a customer-centric problem solver who thrives at the intersection of technology and enterprise trust. Here’s who you are:Motivated to join our mission of delivering advanced intelligence to vital sectors such as healthcare, government, and financial infrastructure.Empathetic and customer-oriented, you actively listen and represent their interests within Credal.A skilled communicator, capable of articulating your message effectively to a CISO, platform engineer, or procurement team.Self-driven with a high ownership mentality, taking initiative to move projects from ambiguous beginnings to clear conclusions.Possessing commercial instincts, you understand what retains customers, drives expansion, and cultivates advocacy, centering your work around these insights.Thrives in a fast-paced environment focused on innovation.