[{"_1":2,"_409":-5,"_410":-5},"loaderData",{"_3":4,"_12":13},"root",{"_5":-5,"_6":7,"_8":9},"user","hasAccess",false,"h1bUi",{"_10":7,"_11":-5},"enabled","userId","routes/jobs",{"_14":15,"_15":16,"_96":43,"_97":98,"_102":-5,"_103":104},"kind","job",{"_17":18,"_19":20,"_21":22,"_23":24,"_25":26,"_27":28,"_29":-5,"_30":-5,"_31":32,"_34":35,"_36":37,"_38":37,"_39":-5,"_40":41,"_42":43,"_44":45,"_46":47,"_48":7,"_49":-5,"_50":-5,"_51":52,"_54":55,"_57":-5,"_58":59,"_71":72,"_73":74,"_78":79,"_80":-5,"_81":-5,"_82":-5,"_83":-5,"_84":85,"_86":-5,"_87":7,"_88":89,"_90":7,"_91":92,"_93":-5,"_94":95},"id","44d87354-160c-4184-8b63-898132c8686d","title","Founding Forward Deployed Engineer","url","https://jobs.ashbyhq.com/clera/622f67f7-d744-4160-a921-3a916150ca78","job_description_full","ABOUT THE ROLE\n\nEarly-stage startup. Seeking a Founding Forward Deployed Engineer to work directly with customers.\n\n - Deploy and integrate\n\n - Own customer success","job_description_summary_short","Join an early-stage startup as a Founding Forward Deployed Engineer working directly with customers. You will deploy and integrate solutions while owning customer success.","job_description_summary_long","The role focuses on customer-facing deployment and integration work at an early-stage startup. The engineer will work directly with customers to implement solutions. They will also own customer success outcomes. The posting provides no specific technology stack, education, experience, compensation, benefits, or work authorization details.","employment_type","compensation","seniority",[33],"senior","date_posted","2026-07-18T02:09:12.129+00:00","created_at","2026-09-05T02:19:15.503509+00:00","updated_at","deleted_at","company","Clera","company_slug","clera","profile_pic_url","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/215a6b77-0a58-42e6-a97f-1d49fa65d966.png","career_category","Software Engineering","sponsors_h1b","headcount_range","latest_funding_class","location_ids",[53],1840021543,"sub_categories",[56],"Forward Deployed","tech_stack","locations",[60],{"_17":53,"_61":62,"_63":64,"_65":66,"_67":68,"_69":70},"city","San Francisco","slug","san-francisco-california","state","California","country","United States","country_iso3","USA","requirements",[],"responsibilities",[75,76,77],"Deploy and integrate solutions for customers.","Work directly with customers.","Own customer success.","benefits",[],"salary_minvalue","salary_maxvalue","salary_currency","salary_unitText","credential_category","no-requirements","months_of_experience","experience_in_place_of_education","home_page_url","https://clearai.com.au","company_sponsors_h1b","h1b_sponsorship_status","unknown","h1b_sponsorship_evidence","company_id","215a6b77-0a58-42e6-a97f-1d49fa65d966","companySlug","companyInfo",{"_17":95,"_99":41,"_63":43,"_88":89,"_100":-5,"_49":-5,"_101":-5},"name","linkedin_slug","description","h1bHistory","similarJobs",[105,165,217,276,329,366],{"_17":106,"_19":107,"_21":108,"_23":109,"_25":110,"_27":111,"_29":-5,"_30":-5,"_31":112,"_34":113,"_36":114,"_38":115,"_39":-5,"_40":116,"_42":117,"_44":118,"_46":47,"_48":7,"_49":119,"_50":-5,"_51":120,"_54":121,"_57":122,"_58":129,"_71":131,"_73":143,"_78":154,"_80":159,"_81":160,"_82":161,"_83":162,"_84":85,"_86":163,"_87":7,"_88":164},"6e8ee90f-1dfd-4561-9f64-e176019e33ae","Senior Forward Deployed Engineer – Key Accounts (AI Solutions)","https://job-boards.greenhouse.io/aircallioinc/jobs/4384700009","<div class="content-intro"><p>Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.</p>\n<p>Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.</p>\n<p>Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.</p>\n<p>At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.</p>\n<p> </p>\n<p><strong>How we work at Aircall</strong>: We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here.</p>\n<p> </p></div><h4><strong><em>The embedded technical partner for a focused portfolio of Aircall's most strategic global accounts, driving agentic AI adoption use case by use case, in lockstep with Key Account Managers, from a first deployed use case to platform-wide expansion.</em></strong></h4>\n<h4><strong>About the Team</strong></h4>\n<p>Aircall's Forward Deployed Engineering team connects our innovative AI Agents technology to real-world customer workflows. We turn possibility into production by delivering automation that improves customer experience, boosts productivity, and unlocks new business value. Working cross-functionally with Product, Engineering, Sales, Solutions, and Customer Success, the team ensures every deployment delivers measurable impact.</p>\n<p>Within that team, this is a senior, Key Accounts–focused role for someone who wants to go deep rather than broad — embedding with a portfolio of Aircall's most strategic global customers and growing agentic adoption inside each one over time. It sits at the intersection of technical consulting, project leadership, and AI adoption strategy. <em>You don't need to be a full-time software engineer, but you should be fluent in APIs, highly confident leading complex technical engagements, and credible in the room with senior customer stakeholders.</em></p>\n<h4><strong>About the Role</strong></h4>\n<p>As a Senior Forward Deployed Engineer for Key Accounts, you are the embedded technical owner for a portfolio of Aircall's highest-value global customers. You don't run a deployment and move on — you stay with the account, building a long-term agentic roadmap alongside the Key Account Manager (KAM).</p>\n<p>You land a first high-impact use case, prove value fast, then systematically expand the footprint use case by use case until Aircall's AI Agents are woven through the customer's core workflows. This is a high-autonomy role: you set the technical strategy for your accounts, you're trusted in the room with customer leadership, and you act as the connective tissue between the customer, the KAM, Product, and Engineering.</p>\n<p><em>Please note, this is not a software engineering role. This is a hybrid, revenue-driving role spanning Solutions Engineering, Consulting, Professional Services, and Product Ownership</em></p>\n<p><strong>What you'll do</strong></p>\n<ul>\n<li><strong>Own a sustained, embedded relationship</strong> with each account in your portfolio — you are the customer's go-to technical authority on agentic AI, not a project resource who rotates off once a deployment ships.</li>\n<li><strong>Partner directly with the Key Account Manager</strong> on a joint account plan: the KAM owns the commercial relationship and quota; you own the agentic use-case roadmap and technical execution; together you build and drive the pipeline of expansion use cases.</li>\n<li><strong>Land the first use case fast, then expand</strong> — deploy an initial high-value workflow, instrument the outcome, and use proven value to open the next use case and the next buying centre within the account.</li>\n<li><strong>Run an evergreen use-case discovery cadence</strong> — continuously surface, qualify, and prioritise new automation opportunities across the customer's teams, so there is always a next use case in flight.</li>\n<li><strong>Serve as the customer's trusted advisor on agentic strategy</strong> — map their AI roadmap 6–12 months out, not just the deployment in front of you, and keep Aircall positioned as the platform of record.</li>\n<li><strong>Lead discovery and solution-design sessions</strong> with customer stakeholders to map business processes, identify automation opportunities, and define solution architecture.</li>\n<li><strong>Design, build, and deploy integrations</strong> using low/no-code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (HubSpot Workflows, Salesforce Flow) with API connectors.</li>\n<li><strong>Configure and optimise the AI Agent</strong> — defining intents, prompts, actions, guardrails, and performance metrics tailored to each account's workflows.</li>\n<li><strong>Manage complex, cross-functional deployments</strong> — defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope.</li>\n<li><strong>Collaborate with Engineering</strong> to validate technical feasibility, resolve blockers, and feed field learnings back into the product.</li>\n<li><strong>Create scalable models and reusable frameworks</strong> (templates, playbooks, reference architectures) that make expansion within your accounts — and future Key Account engagements across the team — faster and more consistent.</li>\n<li><strong>Champion continuous learning and enablement</strong> — mentor FDEs, run internal workshops, and document best practices to raise the technical bar across the team.</li>\n<li><strong>Collaborate with GTM leadership</strong> to embed the routines and cadences that drive accountability for expansion pipeline, forecast accuracy, and performance tracking within Key Accounts.</li>\n<li><strong>Contribute to expansion pipeline and MRR within your portfolio</strong>, jointly with the KAM — defining use-case-specific expansion strategies, coordinating cross-functional support, and ensuring Aircall delivers the leading AI-enabled communication platform.</li>\n<li><strong>Shape the AI Agent roadmap</strong> with Product and PMM, based on customer needs, integration insights, and field learnings from your accounts.</li>\n<li><strong>Drive internal and external product education</strong>, including enablement for System Integrators (SIs) and channel partners where they support your accounts.</li>\n<li><strong>Maintain deep awareness of AI and CX industry trends</strong>, ensuring Aircall's positioning stays competitive and insights continuously feed back into product and GTM strategy.</li>\n</ul>\n<h4><strong>What you'll bring</strong></h4>\n<ul>\n<li>6+ years in technical consulting, solutions engineering, forward-deployed engineering, or integration-focused professional services — ideally with time owning strategic or enterprise accounts.</li>\n<li>Client facing experience:\n<ul>\n<li>Proven ability to own a long-term customer relationship as the technical authority, operating with autonomy and credibility in front of senior (VP / CxO) stakeholders.</li>\n<li>Proven experience running account-based motions in partnership with sales / account management on strategic or enterprise customers.</li>\n</ul>\n</li>\n<li>Technical skills:\n<ul>\n<li>Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL) — able to design and troubleshoot integrations confidently. Even better if you have experience with MCP Servers.</li>\n<li>Proficiency in scripting (JavaScript and/or Python) — used to build, customise, and debug integrations, not just read them.</li>\n<li>Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).</li>\n<li>Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.</li>\n</ul>\n</li>\n<li>Proven ability to lead complex, cross-functional programs with Engineering, Product, and Customer Success to deliver scalable outcomes.</li>\n<li>Excellent communication and stakeholder management skills, translating fluently between technical and business audiences.</li>\n<li>A growth mindset — constantly learning new tools, frameworks, and ways to improve the customer experience and team capability.</li>\n<li>Nice-to-haves\n<ul>\n<li>Experience in telephony, voice, or contact centre systems (SIP/WebRTC, call routing, containment, AHT).</li>\n<li>Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake).</li>\n</ul>\n</li>\n</ul>\n<h4><strong>What success looks like</strong></h4>\n<ul>\n<li><strong>Depth and expansion within each account</strong> — a growing number of live agentic use cases, and adoption spreading into new teams and buying centres over time.</li>\n<li><strong>Net revenue retention and expansion MRR</strong> across your portfolio, driven jointly with the KAM.</li>\n<li><strong>Trusted-partner status</strong> — reflected in access, executive relationships, and roadmap influence, not just tickets closed.</li>\n<li><strong>Shortened time-to-first-value</strong> on the initial use case, then a repeatable path to use case two and beyond.</li>\n<li><strong>Reusable frameworks and models</strong> actively used by peers and partners on other Key Account engagements.</li>\n<li><strong>Strong collaboration with Engineering and Product</strong> to enhance platform capabilities.</li>\n<li><strong>Sustained improvements in customer metrics</strong> (containment, AHT, CSAT) and revenue impact (ARR, NRR) driven by your solutions.</li>\n</ul><div class="content-pay-transparency"><div class="pay-input"><div class="title">Base salary range:</div><div class="pay-range"><span>$175,000</span><span class="divider">—</span><span>$230,000 USD</span></div></div></div><div class="content-conclusion"><div data-qa="closing-description">\n<p><strong>Why join us?</strong></p>\n<p>🚀 Key moment to join Aircall in terms of growth and opportunities</p>\n<p>💆‍♀️ Our people matter, work-life balance is important at Aircall</p>\n<p>📚 Fast-learning environment, entrepreneurial and strong team spirit</p>\n<p>🌍 45+ Nationalities: cosmopolite & multi-cultural mindset</p>\n<p>💶 Competitive salary package & benefits</p>\n<p> </p>\n<p><strong>DE&I Statement: </strong></p>\n<p>At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey. </p>\n<p>We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.  </p>\n<p>We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.</p>\n<p> </p>\n<p>Want to know more about candidate privacy? Find our <a href="https://aircall.io/candidate-privacy-notice/">Candidate Privacy Notice here.</a></p>\n</div>\n<div data-qa="ai-disclaimer">\n<p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p>\n</div></div>","Senior Forward Deployed Engineer serving Aircall’s strategic global accounts as the embedded technical owner for agentic AI adoption, integrations, and expansion. The role combines technical consulting, solution design, deployment leadership, and long-term customer partnership rather than traditional software engineering.","Own a portfolio of strategic accounts and build long-term agentic AI roadmaps in partnership with Key Account Managers. Lead discovery, solution design, integration development, AI Agent configuration, and complex cross-functional deployments using APIs, scripting, low-code tools, and CRM automation. Expand successful initial use cases across customer teams while tracking business outcomes such as adoption, containment, AHT, CSAT, ARR, and NRR. Collaborate with Product, Engineering, Sales, Customer Success, system integrators, and channel partners to improve the platform and create reusable deployment frameworks. The role requires at least six years of technical consulting, solutions engineering, forward-deployed engineering, or integration-focused professional services experience, plus credibility with senior customer stakeholders.",[33],"2026-09-04T19:49:17+00:00","2026-09-04T22:19:23.818472+00:00","2026-09-04T22:39:28.419738+00:00","Aircall.io, Inc.","aircall-io-inc","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/b2c46f36-6030-490b-898e-9c3170b9e980.png","RANGE_501_1000",[53],[56],[123,124,125,126,127,128],"Google BigQuery","GraphQL","JavaScript","Make","Python","Snowflake",[130],{"_17":53,"_61":62,"_63":64,"_65":66,"_67":68,"_69":70},[132,133,134,135,136,137,138,139,140,141,142],"At least 6 years of experience in technical consulting, solutions engineering, forward-deployed engineering, or integration-focused professional services.","Experience owning strategic or enterprise accounts and serving as a trusted technical authority for senior VP and CxO stakeholders.","Experience running account-based motions with sales or account management teams.","Strong command of APIs, webhooks, JSON, REST, GraphQL, and data structures, with MCP Server experience as a plus.","Proficiency in JavaScript and/or Python for building, customizing, and debugging integrations.","Hands-on experience with Zapier, Make, n8n, Workato, HubSpot, and Salesforce automation.","Practical understanding of AI workflow configuration, prompt engineering, evaluation, and monitoring.","Ability to lead complex cross-functional programs with Engineering, Product, and Customer Success.","Strong communication and stakeholder management skills across technical and business audiences.","Experience with telephony, voice, or contact center systems such as SIP and WebRTC is a plus.","Familiarity with Looker, BigQuery, or Snowflake is a plus.",[144,145,146,147,148,149,150,151,152,153],"Own sustained technical relationships with a portfolio of strategic global accounts.","Partner with Key Account Managers on account plans, expansion pipelines, and use-case roadmaps.","Discover, prioritize, design, deploy, and expand agentic AI workflows across customer organizations.","Build and troubleshoot integrations using APIs, webhooks, scripting, low-code orchestration, and CRM automation tools.","Configure AI Agent intents, prompts, actions, guardrails, and performance metrics.","Lead complex cross-functional deployments by defining timelines, aligning stakeholders, and ensuring delivery within scope.","Collaborate with Engineering and Product to validate feasibility, resolve blockers, and feed customer insights into the roadmap.","Create reusable templates, playbooks, models, and reference architectures for account expansion.","Mentor FDEs, run internal workshops, document best practices, and enable system integrators and channel partners.","Support expansion strategy, pipeline, MRR, forecast accuracy, product education, and customer outcome tracking.",[155,156,157,158],"Competitive salary package and benefits.","Work-life balance and a people-focused culture.","Fast-learning, entrepreneurial environment with a strong team spirit.","Multicultural workplace with more than 45 nationalities.",175000,230000,"USD","YEAR",72,"https://aircall.io",{"_17":166,"_19":167,"_21":168,"_23":169,"_25":170,"_27":171,"_29":-5,"_30":-5,"_31":172,"_34":173,"_36":174,"_38":175,"_39":-5,"_40":176,"_42":177,"_44":178,"_46":47,"_48":179,"_49":119,"_50":-5,"_51":180,"_54":182,"_57":-5,"_58":183,"_71":188,"_73":198,"_78":207,"_80":213,"_81":214,"_82":161,"_83":162,"_84":215,"_86":163,"_87":179,"_88":216},"f37604ad-bc73-495a-b7ca-885022f48527","Applied AI, Research Engineer ","https://job-boards.greenhouse.io/anthropic/jobs/5390811008","<div class="content-intro"><h2><strong>About Anthropic</strong></h2>\n<p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h1>Applied AI Research Engineer</h1>\n<p><strong>Applied AI Research Team, Applied AI </strong></p>\n<p><strong>About the role:</strong></p>\n<p>As an Applied AI Research Engineer, you will discover what Anthropic's models and products can do, prove it with real customers, and equip the rest of Applied AI to sell and deliver it. You'll embed with product teams to build deep expertise on new capabilities as they develop, and serve as a critical feedback loop carrying field reality back to Product and Research so that what we build next reflects what customers actually need.</p>\n<p>In collaboration with Sales, Product, and Research teams, you'll sit at the intersection of what we build and how customers adopt it. You'll own the technical<> GTM handshake for model and product launches: testing new models to understand their strengths and limitations, building demos and evals, and helping field teams get ready. When strategic customers hit novel challenges, you'll go hands-on to solve them. And throughout, you'll synthesize what you're learning across customers and products into insights that shape our roadmap, working closely with Product, Engineering, and Research teams to stay calibrated on what's working, what's not, and what matters most.</p>\n<p>This role is equal parts researcher, field expert, and connective tissue between our customers and the teams that build our products. You'll need the technical depth to push the boundaries of what our models can do, strong communication skills to make complex capabilities clear to diverse audiences, and the instinct to turn what you learn in the field into signal that makes our products better.</p>\n<p> </p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Embed with product teams to build deep technical expertise on new products and capabilities as they develop, becoming the field's go-to expert in your domain</li>\n<li>Own the technical<> GTM handshake for model and product launches-- early testing, field readiness assessments, and ongoing capability education throughout the model lifecycle</li>\n<li>Build demos, evals, and prototypes that showcase customer-relevant model and product capabilities, and define what good performance looks like in important domains</li>\n<li>Develop enablement materials like playbooks, training sessions, and reference architectures in partnership with Technical Enablement, so Applied AI teams can effectively position and deliver new capabilities from day one</li>\n<li>Engage hands-on with strategic customers facing novel technical challenges in your domain, discover solutions, then package learnings into scalable approaches for the broader field</li>\n<li>Synthesize insights from across customer engagements and work with Product and Research to land them. Identify adoption patterns, common blockers, and capability gaps that should inform our research and product roadmaps</li>\n<li>Partner with Sales and Applied AI teams to support high-value accounts that need specialized domain knowledge</li>\n<li>Travel occasionally to customer sites for workshops, implementation support, and research collaboration</li>\n</ul>\n<p> </p>\n<p><strong>You may be a good fit if you have:</strong></p>\n<p> </p>\n<ul>\n<li>6+ years of experience as a Software Engineer, Technical Product Manager, Forward Deployed Engineer, AI startup founder, or similar technical role -- ideally with some exposure to customers or end users</li>\n</ul>\n<ul>\n<li>A track record of going deep on technical problems and then translating what you learned into materials, training, or tools that helped others succeed</li>\n<li>Strong technical aptitude with strong proficiency in at least one programming language </li>\n<li>Meaningful experience building with large language models -- whether shipping LLM-powered products, developing agents or workflows, or integrating models into production systems</li>\n<li>Experience designing evals, building prototypes, or developing technical enablement for complex products</li>\n<li>The ability to quickly build domain expertise in new product areas and become a credible technical voice on new topics</li>\n<li>Curiosity about what AI models can actually do -- you enjoy probing the edges of new capabilities and figuring out what use cases just unlocked</li>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, including exec-level</li>\n<li>The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions</li>\n<li>A collaborative, service-oriented mindset – go-to-market at Anthropic is a team sport</li>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p> </p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below. </p>\n<p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$300,000</span><span class="divider">—</span><span>$400,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2>\n<p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>\n<p><strong>Required field of study: </strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>\n<p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p>\n<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong data-stringify-type="bold">Visa sponsorship:</strong> We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit <u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u> directly for confirmed position openings.</p>\n<h2><strong>How we're different</strong></h2>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<h2><strong>Come work with us!</strong></h2>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong> Learn about <a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>","Applied AI Research Engineer who explores model capabilities, builds demos and evaluations, and helps customers and internal teams turn new AI capabilities into real-world adoption. The role bridges research, product, go-to-market, and strategic customer implementation.","This role embeds with product teams to understand emerging model and product capabilities, then translates that knowledge into demos, prototypes, evaluations, playbooks, training, and reference architectures. The engineer supports strategic customers with novel technical challenges and packages field learnings into scalable solutions for Applied AI and Sales teams. They also synthesize customer feedback, adoption patterns, and capability gaps to influence Product and Research roadmaps. Candidates should have 6+ years in a technical role, strong programming ability, meaningful experience building with large language models, and excellent communication skills. The role occasionally involves customer-site travel and follows a hybrid policy requiring staff to work from an office at least 25% of the time.",[33],"2026-09-04T15:26:23+00:00","2026-09-04T16:08:11.818115+00:00","2026-09-04T22:49:30.626155+00:00","Anthropic","anthropic","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/9dcbb143-aa68-45c7-9db3-5868b51b0801.jpg",true,[53,181],1840034016,[56],[184,185],{"_17":53,"_61":62,"_63":64,"_65":66,"_67":68,"_69":70},{"_17":181,"_61":186,"_63":187,"_65":186,"_67":68,"_69":70},"New York","new-york-new-york",[189,190,191,192,193,194,195,196,197],"6+ years of experience as a Software Engineer, Technical Product Manager, Forward Deployed Engineer, AI startup founder, or similar technical professional, ideally with customer or end-user exposure.","Strong technical aptitude and strong proficiency in at least one programming language.","Meaningful experience building with large language models, including shipping LLM-powered products, developing agents or workflows, or integrating models into production systems.","Experience designing evaluations, building prototypes, or creating technical enablement for complex products.","Ability to develop domain expertise quickly and serve as a credible technical voice on new topics.","Excellent communication and interpersonal skills for explaining complex subjects to diverse internal and external stakeholders, including executives.","Ability to execute amid ambiguity, adapt across domains, and develop simple solutions to business problems.","Collaborative, service-oriented mindset and interest in safe, beneficial AI systems.","Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field.",[199,200,201,202,203,204,205,206],"Embed with product teams to become a field expert on new products and capabilities.","Own technical go-to-market readiness for model and product launches, including early testing, field assessments, and capability education.","Build customer-relevant demos, evaluations, and prototypes and define performance standards for important domains.","Develop playbooks, training sessions, and reference architectures with Technical Enablement.","Solve novel technical challenges for strategic customers and turn learnings into scalable field approaches.","Synthesize customer insights, adoption patterns, blockers, and capability gaps to inform Product and Research roadmaps.","Partner with Sales and Applied AI teams on high-value accounts requiring specialized technical knowledge.","Travel occasionally to customer sites for workshops, implementation support, and research collaboration.",[208,209,210,211,212],"Annual base salary range of $300,000-$400,000 USD.","Hybrid policy requiring staff to work from an office at least 25% of the time, with some roles requiring more office time.","Visa sponsorship may be available, with immigration-lawyer support.","Competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.","Occasional travel to customer sites is required.",300000,400000,"bachelor-degree","https://www.anthropic.com",{"_17":218,"_19":219,"_21":220,"_23":221,"_25":222,"_27":223,"_29":-5,"_30":-5,"_31":224,"_34":225,"_36":226,"_38":227,"_39":-5,"_40":228,"_42":229,"_44":230,"_46":47,"_48":179,"_49":231,"_50":232,"_51":233,"_54":234,"_57":235,"_58":239,"_71":241,"_73":255,"_78":263,"_80":273,"_81":274,"_82":161,"_83":162,"_84":215,"_86":163,"_87":179,"_88":275},"398443f5-8472-4eb2-b38d-3db25c8a38c8","Senior Forward Deployed Engineer- Splunk","https://careers.cisco.com/global/en/job/CISCISGLOBAL2020308EXTERNALENGLOBAL/Senior-Forward-Deployed-Engineer-Splunk","

Meet the Team

The Splunk Agent Resilience team is defining the future of AI resilience. Together our team provides scalable, cost-effective evaluation and guardrails that ensure AI agents behave as intended, improving reliability and reducing risks. This unified approach empowers our customers to expertly deploy and manage AI-powered applications with enhanced observability and control.

As a Forward Deployed Engineer (FDE), you'll work at the intersection of software engineering, customer engagement, and product innovation to help some of the world's largest enterprises successfully deploy AI into production. You'll partner closely with external customers to solve complex technical challenges while collaborating with internal Product and Engineering teams to improve the platform based on real-world customer needs.

If you enjoy solving hard engineering problems, working directly with customers, and building technology that scales beyond a single implementation, we'd love to hear from you.

Your Impact

As a Forward Deployed Engineer, you will:

Partner with enterprise customers to understand technical requirements and business goals.
Design scalable AI solution architectures and guide customers through production deployments.
Build integrations, prototypes, and reusable tools that accelerate customer success.
Lead technical workshops, architecture discussions, and troubleshoot complex production issues.
Collaborate with Product and Engineering teams to share customer feedback and influence future product enhancements.
Create documentation, reusable best practices, and technical assets that benefit future deployments.

Minimum Qualifications

Bachelor’s degree in Computer Science or a related technical field, with 6+ years of relevant experience, or equivalent practical experience.
Software engineering experience building production-grade applications.
Experience with APIs, distributed systems, cloud platforms, or backend development.
Experience with AI tools such as Claude Code, Codex, cursor, etc.
Troubleshooting and problem-solving skills across multiple layers of the technology stack.
AI, Machine Learning, or developer platforms experience.
Experience with programming language such as python, Java, etc.

Preferred Qualifications

Experience deploying or supporting Generative AI, LLM, or Machine Learning applications in production.
Experience with Kubernetes, cloud infrastructure, observability, or MLOps.
Experience building customer-facing technical solutions or integrations.
Experience creating reusable developer tools, frameworks, or open-source contributions.
Consulting, Solutions Engineering, or Technical Customer Success experience in enterprise environments.
Excellent communication skills and the ability to work directly with enterprise customers.
Comfortable working in fast-paced, ambiguous environments.

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada:

The starting salary range posted for this position is $167,700.00 to $245,200.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:

10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
Additional paid time away may be requested to deal with critical or emergency issues for family members
Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:

.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and
Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

New York City Metro Area:

$167,700.00 - $282,000.00

Non-Metro New York state & Washington state:

$149,100.00 - $250,900.00

* For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

","Senior Forward Deployed Engineer partnering with enterprise customers to deploy resilient AI applications into production. The role combines hands-on software engineering, scalable solution architecture, customer troubleshooting, and product feedback.","This role designs and deploys scalable AI solutions for enterprise customers, building integrations, prototypes, and reusable tools that accelerate successful production adoption. The engineer leads technical workshops, architecture discussions, and troubleshooting while working across multiple layers of the technology stack. They collaborate with Product and Engineering teams to turn customer feedback into platform improvements and reusable technical assets. Candidates need a bachelor’s degree or equivalent practical experience, 6+ years of relevant experience, production software engineering expertise, and experience with APIs, distributed systems, cloud platforms, backend development, or AI platforms. Preferred experience includes production Generative AI, LLM, or Machine Learning deployments, Kubernetes, observability, MLOps, and customer-facing technical solutions.",[33],"2026-09-03T00:00:00+00:00","2026-09-04T11:34:30.202375+00:00","2026-09-04T22:36:08.519406+00:00","Cisco","cisco","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/1ac32cf1-75be-409f-af37-8deb0f6a2947.jpg","RANGE_10000_PLUS","PUBLIC",[53],[56],[236,237,127,238],"Java","Kubernetes","Splunk",[240],{"_17":53,"_61":62,"_63":64,"_65":66,"_67":68,"_69":70},[242,243,244,245,246,247,248,249,250,251,252,253,254],"Bachelor’s degree in Computer Science or a related technical field with 6+ years of relevant experience, or equivalent practical experience.","Production-grade software engineering experience.","Experience with APIs, distributed systems, cloud platforms, or backend development.","Experience with AI tools such as Claude Code, Codex, or Cursor.","Experience with AI, Machine Learning, or developer platforms.","Programming experience with languages such as Python or Java.","Strong troubleshooting and problem-solving skills across multiple technology layers.","Preferred: experience deploying or supporting Generative AI, LLM, or Machine Learning applications in production.","Preferred: experience with Kubernetes, cloud infrastructure, observability, or MLOps.","Preferred: experience building customer-facing technical solutions or integrations.","Preferred: experience creating reusable developer tools, frameworks, or open-source contributions.","Preferred: consulting, Solutions Engineering, or Technical Customer Success experience in enterprise environments.","Excellent communication skills and comfort working directly with enterprise customers and in ambiguous environments.",[256,257,258,259,260,261,262],"Partner with enterprise customers to understand technical requirements and business goals.","Design scalable AI solution architectures and guide customers through production deployments.","Build integrations, prototypes, and reusable tools to accelerate customer success.","Lead technical workshops and architecture discussions.","Troubleshoot complex production issues across multiple technology layers.","Collaborate with Product and Engineering teams to communicate customer feedback and influence product enhancements.","Create documentation, reusable best practices, and technical assets for future deployments.",[264,265,266,267,268,269,270,271,272],"Medical, dental, and vision insurance.","401(k) plan with Cisco matching contributions.","Paid parental leave, short- and long-term disability coverage, and basic life insurance.","Potential eligibility for Cisco restricted stock unit grants.","Paid holidays, birthday leave, year-end holiday shutdown, wellness days, vacation, and sick time.","Additional paid time away for critical family or emergency issues.","Up to 10 paid volunteer days per year.","Annual bonuses may be available for non-sales roles.","U.S. and Canada position with location-specific salary ranges and benefits subject to plan eligibility and company policies.",167700,245200,"http://www.cisco.com",{"_17":277,"_19":278,"_21":279,"_23":280,"_25":281,"_27":282,"_29":-5,"_30":-5,"_31":283,"_34":284,"_36":285,"_38":286,"_39":-5,"_40":287,"_42":288,"_44":289,"_46":47,"_48":179,"_49":231,"_50":232,"_51":290,"_54":292,"_57":293,"_58":295,"_71":300,"_73":311,"_78":319,"_80":325,"_81":326,"_82":161,"_83":162,"_84":85,"_86":327,"_87":7,"_88":328},"ac8242ea-78bc-4d86-ac56-0d5db897a1b7","Senior AI Agent Engineer | Moveworks - Federal","https://jobs.smartrecruiters.com/ServiceNow/744000146563519-senior-ai-agent-engineer-moveworks-federal","

Company Description

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

Job Description

About the Role:

As a Senior AI Agent Engineer | Federal at Moveworks by ServiceNow, you'll be responsible for making our strategic public sector customers successful with the Moveworks platform by accelerating product adoption and innovation across federal civilian, defense, and intelligence community engagements. You are a critical, high-leverage technical individual that operates at the intersection of Customer Success, Product Management, and Engineering — with a deep appreciation for working hands-on with products, technical problem-solving, and architecting solutions.

Your primary mission is to translate complex business challenges into innovative, high-impact AI solutions built on our platform. This role provides full-stack ownership of technical success, allowing you to not only deploy capabilities within our offering but also directly influence the product's evolution by ensuring that learnings are folded back into our core platform and roadmap.

Core Responsibilities & Impact:

Full-stack Ownership: Partner deeply with federal customers throughout the entire delivery lifecycle of AI Agents on the Moveworks platform: Vision-Lock, Solution Design/Architecture, Building, Tuning, and launch — while navigating the realities of federal procurement, ATO timelines, and agency governance.
Custom Solution Design: Architect, design, and consult with federal stakeholders to develop high-impact AI solutions that leverage AI in novel and meaningful ways to solve mission-critical business challenges.
Integration and Implementation: Integrate the Moveworks by ServiceNow Platform with enterprise systems (ITSM, HRIS, identity, knowledge sources) in a manner that is innovative, performant, and compliant with federal security and data-handling requirements, including deployments in FedRAMP High and IL4/IL5 environments where applicable.
Product Partnership: Work closely with engineering and product teams on new product rollouts, and help drive product decision-making by synthesizing on-the-ground customer feedback, compliance requirements, and technical gaps unique to the public sector.
Strategic Guidance & Influence: Serve as a trusted advisor to federal customers, providing strategic direction to help them overcome technical, organizational, and compliance obstacles, including upskilling agency teams to operate the product independently.
Reusability & Knowledge Sharing: Generalize successful customer solutions into reusable templates and share learnings broadly across the team.

About You:

You are a technical generalist who genuinely enjoys working directly with customers. You thrive at the intersection of engineering, consulting, and customer success — and you're equally energized by solving a complex integration problem and presenting a solution narrative to a customer's executive team.

Communication: You can build deep partnerships across technical staff, program managers, and executives — and translate solutions into clear artifacts (architecture diagrams, proposals, ATO artifacts, SOWs) and compelling narratives for any audience.
Technical Mastery: You have a strong grasp of API-based systems integration and LLM-based systems design including prompt engineering, context engineering, and data modeling. You're curious about what happens under the hood and why things are built the way they are.
Curiosity: You are a rapid learner with high technical aptitude and strong generalist instincts to quickly pick up both new technical and mission domains.
Product Excellence: You have product taste/judgement and are obsessed with building and delivering exceptional product experiences for end users.
Entrepreneurial Drive / Grit: You lean into ambiguity and actively seek exposure across engineering, product, and business functions.
Accountability: You have a strong sense of personal accountability to both customers and internal teammates who rely on your expertise.

Qualifications

Required:

U.S. citizenship required. Eligibility to obtain and maintain a U.S. federal government security clearance (Public Trust at minimum; Secret or higher preferred depending on customer assignment).
5+ years of experience in a customer-facing technical role, such as a Forward Deployed Engineer, Solutions Engineer, Customer Success Engineer, Solutions Architect, Consulting Engineer, or Software Engineer.
Experience designing, building, and launching full-stack workflows and automations leveraging REST APIs, iPaaS automation (Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer), or generic scripting (e.g., Python, JavaScript, Golang).
Ability to operate across multiple business functions or technical domains, demonstrating adaptability, quick-to-learn, and broad technical skills.
Experience leading projects and coordinating other team members, with strong networks across departments and key external stakeholders.
Proven ability to work independently on ambiguous problems, choosing the right approach and driving results across complex, cross-functional efforts.
Willingness and ability to travel up to 25% of the time.

Preferred:

Experience delivering technical solutions to U.S. federal government customers (civilian, DoD, or IC), or equivalent public sector experience.
Active security clearance (Secret, Top Secret, or TS/SCI).
Familiarity with FedRAMP Moderate/High, DoD IL4/IL5, ATO processes, and FISMA compliance concepts.
Familiarity with enterprise platforms such as ServiceNow, Jira Service Desk, Zendesk, Workday, or Okta.
Current on the latest AI tools, frameworks, and agentic design patterns — and thoughtful about how to apply them to build reliable, scalable solutions.

Please Note: This position will include supporting our US Federal customers.

This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered.

For positions in this location, we offer a base pay of $143,200 - $243,400, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

Employee Type: Regular

Region: AMS - North America and Canada

Work Persona: Flexible or Remote

","Senior AI Agent Engineer supporting U.S. federal customers by designing, building, integrating, and launching AI-agent workflows on the Moveworks by ServiceNow platform. The role combines hands-on technical delivery, customer advising, enterprise integrations, and product feedback in regulated federal environments.","This customer-facing technical role owns the full delivery lifecycle for AI agents, from solution architecture and building through tuning and launch. The engineer designs API-based automations and integrates Moveworks with enterprise systems such as ITSM, HRIS, identity, and knowledge platforms while meeting federal security and data-handling requirements. They advise federal stakeholders, support deployments in environments such as FedRAMP High and DoD IL4/IL5, and help agency teams operate the product independently. The role also partners with Product and Engineering to influence roadmap decisions and turn customer solutions into reusable templates. Candidates need at least five years of customer-facing technical experience, U.S. citizenship, and eligibility for a federal security clearance.",[33],"2026-08-31T22:25:27.566+00:00","2026-09-03T02:41:59.352361+00:00","2026-09-04T22:43:28.934601+00:00","ServiceNow","servicenow","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/07325baa-f193-4c2c-961c-753ed8ca415c.jpg",[291,53],47981,[56],[294,125,127],"Go",[296,299],{"_17":291,"_61":297,"_63":298,"_65":-5,"_67":68,"_69":70},"Remote","remote-usa",{"_17":53,"_61":62,"_63":64,"_65":66,"_67":68,"_69":70},[301,302,303,304,305,306,307,308,309,310],"U.S. citizenship and eligibility to obtain and maintain a federal security clearance are required; Public Trust is the minimum and Secret or higher is preferred depending on assignment.","At least 5 years of experience in a customer-facing technical role such as Forward Deployed Engineer, Solutions Engineer, Customer Success Engineer, Solutions Architect, Consulting Engineer, or Software Engineer.","Experience designing, building, and launching full-stack workflows and automations using REST APIs, iPaaS tools, cloud functions, or scripting languages.","Strong understanding of API-based systems integration and LLM-based systems design, including prompt engineering, context engineering, and data modeling.","Ability to work across business and technical domains, learn quickly, operate independently, and solve ambiguous cross-functional problems.","Experience leading projects and coordinating team members across departments and external stakeholders.","Preferred experience serving U.S. federal or public-sector customers and familiarity with FedRAMP, DoD IL4/IL5, ATO processes, and FISMA compliance.","Preferred active Secret, Top Secret, or TS/SCI clearance and familiarity with ServiceNow, Jira Service Desk, Zendesk, Workday, or Okta.","Willingness and ability to travel up to 25% of the time.","Successful completion of ServiceNow's USFedPASS background screening, including credit, criminal/misdemeanor, and drug-test checks.",[312,313,314,315,316,317,318],"Own the full delivery lifecycle of AI-agent workflows, including vision, solution design, architecture, building, tuning, and launch.","Architect and implement custom AI solutions for federal civilian, defense, and intelligence community customers.","Integrate the Moveworks platform with ITSM, HRIS, identity, knowledge sources, and other enterprise systems.","Design performant and compliant solutions for federal security, data-handling, procurement, ATO, and agency governance requirements.","Partner with Product and Engineering on launches and synthesize customer feedback, compliance needs, and technical gaps.","Advise federal customers and upskill agency teams so they can operate the product independently.","Lead projects, coordinate team members and stakeholders, and generalize successful solutions into reusable templates.",[320,321,322,323,324],"Base pay is listed at $143,200-$243,400, with equity when applicable, variable/incentive compensation, and benefits.","Health plans, flexible spending accounts, a 401(k) plan with company match, ESPP, matching donations, flexible time away, and family leave programs are offered.","The role has a flexible or remote work persona within the distributed work model.","Regular employee position supporting U.S. federal customers.","Employment is contingent on passing required screening and obtaining any required export-control approval.",143200,243400,60,"http://www.servicenow.com",{"_17":330,"_19":278,"_21":331,"_23":332,"_25":333,"_27":334,"_29":-5,"_30":-5,"_31":335,"_34":336,"_36":337,"_38":338,"_39":-5,"_40":287,"_42":288,"_44":289,"_46":47,"_48":179,"_49":231,"_50":232,"_51":339,"_54":340,"_57":341,"_58":342,"_71":345,"_73":352,"_78":359,"_80":325,"_81":326,"_82":161,"_83":162,"_84":85,"_86":327,"_87":7,"_88":328},"a8c87dd3-03d5-43a1-a77e-020b60ae7331","https://jobs.smartrecruiters.com/ServiceNow/744000146563259-senior-ai-agent-engineer-moveworks-federal","

Company Description

Join us to put AI to work for people.

Job Description

About the Role:

Core Responsibilities & Impact:

Full-stack Ownership: Partner deeply with federal customers throughout the entire delivery lifecycle of AI Agents on the Moveworks platform: Vision-Lock, Solution Design/Architecture, Building, Tuning, and launch — while navigating the realities of federal procurement, ATO timelines, and agency governance.
Custom Solution Design: Architect, design, and consult with federal stakeholders to develop high-impact AI solutions that leverage AI in novel and meaningful ways to solve mission-critical business challenges.
Integration and Implementation: Integrate the Moveworks by ServiceNow Platform with enterprise systems (ITSM, HRIS, identity, knowledge sources) in a manner that is innovative, performant, and compliant with federal security and data-handling requirements, including deployments in FedRAMP High and IL4/IL5 environments where applicable.
Product Partnership: Work closely with engineering and product teams on new product rollouts, and help drive product decision-making by synthesizing on-the-ground customer feedback, compliance requirements, and technical gaps unique to the public sector.
Strategic Guidance & Influence: Serve as a trusted advisor to federal customers, providing strategic direction to help them overcome technical, organizational, and compliance obstacles, including upskilling agency teams to operate the product independently.
Reusability & Knowledge Sharing: Generalize successful customer solutions into reusable templates and share learnings broadly across the team.

About You:

Communication: You can build deep partnerships across technical staff, program managers, and executives — and translate solutions into clear artifacts (architecture diagrams, proposals, ATO artifacts, SOWs) and compelling narratives for any audience.
Technical Mastery: You have a strong grasp of API-based systems integration and LLM-based systems design including prompt engineering, context engineering, and data modeling. You're curious about what happens under the hood and why things are built the way they are.
Curiosity: You are a rapid learner with high technical aptitude and strong generalist instincts to quickly pick up both new technical and mission domains.
Product Excellence: You have product taste/judgement and are obsessed with building and delivering exceptional product experiences for end users.
Entrepreneurial Drive / Grit: You lean into ambiguity and actively seek exposure across engineering, product, and business functions.
Accountability: You have a strong sense of personal accountability to both customers and internal teammates who rely on your expertise.

Qualifications

Required:

U.S. citizenship required. Eligibility to obtain and maintain a U.S. federal government security clearance (Public Trust at minimum; Secret or higher preferred depending on customer assignment).
5+ years of experience in a customer-facing technical role, such as a Forward Deployed Engineer, Solutions Engineer, Customer Success Engineer, Solutions Architect, Consulting Engineer, or Software Engineer.
Experience designing, building, and launching full-stack workflows and automations leveraging REST APIs, iPaaS automation (Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer), or generic scripting (e.g., Python, JavaScript, Golang).
Ability to operate across multiple business functions or technical domains, demonstrating adaptability, quick-to-learn, and broad technical skills.
Experience leading projects and coordinating other team members, with strong networks across departments and key external stakeholders.
Proven ability to work independently on ambiguous problems, choosing the right approach and driving results across complex, cross-functional efforts.
Willingness and ability to travel up to 25% of the time.

Preferred:

Experience delivering technical solutions to U.S. federal government customers (civilian, DoD, or IC), or equivalent public sector experience.
Active security clearance (Secret, Top Secret, or TS/SCI).
Familiarity with FedRAMP Moderate/High, DoD IL4/IL5, ATO processes, and FISMA compliance concepts.
Familiarity with enterprise platforms such as ServiceNow, Jira Service Desk, Zendesk, Workday, or Okta.
Current on the latest AI tools, frameworks, and agentic design patterns — and thoughtful about how to apply them to build reliable, scalable solutions.

Please Note: This position will include supporting our US Federal customers.

Additional Information

Work Personas

Equal Opportunity Employer

Accommodations

Export Control Regulations

Employee Type: Regular

Region: AMS - North America and Canada

Work Persona: Flexible or Remote

","Senior AI Agent Engineer supporting U.S. federal customers by designing, building, integrating, and launching AI-agent workflows on the Moveworks platform. The role combines hands-on technical delivery, customer advisory, enterprise integrations, and product feedback in regulated federal environments.","This customer-facing engineering role owns the full delivery lifecycle for AI agents, from solution architecture and implementation through tuning and launch. Responsibilities include integrating Moveworks with enterprise systems, advising federal stakeholders, navigating FedRAMP and DoD requirements, and creating reusable solutions. The engineer partners with Product and Engineering teams to influence the platform roadmap based on customer feedback and public-sector needs. Candidates need at least five years of customer-facing technical experience, strong API and LLM-systems knowledge, and experience with scripting or automation platforms. U.S. citizenship, eligibility for a federal security clearance, and willingness to travel up to 25% are required.",[33],"2026-08-31T22:20:59.359+00:00","2026-09-03T02:47:25.027056+00:00","2026-09-04T22:43:15.251355+00:00",[291,53],[56],[294,125],[343,344],{"_17":291,"_61":297,"_63":298,"_65":-5,"_67":68,"_69":70},{"_17":53,"_61":62,"_63":64,"_65":66,"_67":68,"_69":70},[346,302,347,348,349,350,351,309],"U.S. citizenship and eligibility to obtain and maintain a federal security clearance are required; Secret or higher is preferred depending on assignment.","Experience designing, building, and launching full-stack workflows and automations using REST APIs, iPaaS platforms, cloud functions, or scripting.","Strong understanding of API-based integration and LLM-based systems design, including prompt engineering, context engineering, and data modeling.","Ability to work across multiple technical or business domains, lead projects, coordinate team members, and drive ambiguous cross-functional efforts independently.","Preferred qualifications include U.S. federal or public-sector delivery experience, an active Secret/Top Secret/TS/SCI clearance, and familiarity with FedRAMP, DoD IL4/IL5, ATO, and FISMA concepts.","Familiarity with ServiceNow, Jira Service Desk, Zendesk, Workday, or Okta and current AI-agent design patterns is preferred.",[353,354,355,356,357,358],"Partner with federal customers through vision, solution design, architecture, building, tuning, and launch of AI-agent workflows.","Architect and implement custom AI solutions that address mission-critical federal business challenges.","Integrate the Moveworks platform with ITSM, HRIS, identity, knowledge, and other enterprise systems while meeting federal security and data-handling requirements.","Collaborate with Product and Engineering on launches and translate customer feedback, compliance needs, and technical gaps into product improvements.","Advise federal customers on technical, organizational, and compliance challenges and help agency teams operate the product independently.","Turn successful customer implementations into reusable templates and share technical learnings across the organization.",[360,361,362,363,364,365],"Base pay is listed at $143,200–$243,400 annually, plus equity where applicable, variable or incentive compensation, and benefits.","Health plans include flexible spending accounts.","401(k) plan with company match and an employee stock purchase plan are offered.","Benefits include matching donations, flexible time away, and family leave programs.","The position is a regular employee role with a flexible or remote work persona.","Employment is contingent on passing USFedPASS background screening, including credit, criminal or misdemeanor, and drug-test checks.",{"_17":367,"_19":368,"_21":369,"_23":370,"_25":371,"_27":372,"_29":-5,"_30":-5,"_31":373,"_34":374,"_36":375,"_38":376,"_39":-5,"_40":377,"_42":378,"_44":379,"_46":47,"_48":179,"_49":380,"_50":381,"_51":382,"_54":383,"_57":-5,"_58":384,"_71":387,"_73":396,"_78":403,"_80":406,"_81":407,"_82":161,"_83":162,"_84":85,"_86":-5,"_87":7,"_88":408},"ddf8eb73-ce41-472f-adaf-ac4ef0704bc7","Senior Forward Deployed Engineer, Strategic Accounts","https://jobs.ashbyhq.com/deepgram/1645ceac-3ef9-45ba-8386-49c7c43b14f0","COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nOPPORTUNITY:\n\nEnterprise restaurant deployments are where voice AI meets the messiness of the real world: legacy systems, high transaction volumes, operational edge cases, and technology that has to work reliably during the busiest moments of the day.\n\nIn this role, you will embed with leading restaurant brands and technology partners to make those deployments successful. You will learn how their systems work, design the integration path, write code, troubleshoot production issues, and adapt Deepgram’s platform to the constraints of live restaurant operations. You will work directly with customer engineering teams and business leaders, owning the technical path from early discovery through go-live and optimization.\n\nYour impact will extend beyond any single customer. You will identify patterns across deployments, translate field learnings into product improvements, and build the tools, reference architectures, and playbooks that help the team deploy faster and more reliably across large restaurant fleets.\n\nThis role is for an engineer who wants direct ownership of customer outcomes and enjoys turning complex, ambiguous deployments into repeatable systems. The goal is simple: make every Deepgram for Restaurants deployment feel effortless to the customer and deliver measurable value from day one.\n\n\n\n\nLOCATION:\n\nThis role is based in New York City or San Francisco, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs.\n\nThis role also includes occasional travel to meet with customers, support sales engagements, and participate in key onsite interactions.\n\n\n\n\nWHAT YOU’LL OWN:\n\n - Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers.\n\n - Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization.\n\n - Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between.\n\n - Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary.\n\n - Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers.\n\n - Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building.\n\n\n\n\nYOU’LL LOVE THIS ROLE IF YOU:\n\n - You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it.\n\n - You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product.\n\n - You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration.\n\n\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE:\n\n - Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output.\n\n - Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof.\n\n - High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones.\n\n - Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable.\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD:\n\n - Experience with voice AI, speech-to-text, NLP, or conversational AI systems.\n\n - Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero.\n\n - Previous experience embedded within a large enterprise customer’s product deployment.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","Senior Forward Deployed Engineer who embeds with strategic restaurant customers to integrate, deploy, and optimize Deepgram’s voice AI platform in live enterprise environments. You’ll write code, troubleshoot production issues, and turn deployment patterns into reusable tools and playbooks.","This role owns the technical path for enterprise restaurant deployments, from discovery and architecture through integration, go-live, and optimization. Responsibilities include configuring Deepgram’s voice AI platform, integrating with customer systems such as POS platforms, resolving production issues, and supporting customer engineering teams. The engineer will also create reference architectures, deployment tools, and playbooks while translating field feedback into product and engineering improvements. The position requires strong software engineering skills across APIs, SDKs, webhooks, cloud infrastructure, and customer technology stacks, along with excellent customer communication. Experience with voice AI, speech-to-text, NLP, conversational AI, enterprise deployments, or early-stage startups is preferred.",[33],"2026-08-31T17:35:10.759+00:00","2026-08-31T18:19:50.038612+00:00","2026-09-04T22:47:30.028006+00:00","Deepgram","deepgram","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/9b4f625f-dcc8-4a95-9adf-1460fdc02409.png","RANGE_51_200","SERIES_C",[53,181],[56],[385,386],{"_17":53,"_61":62,"_63":64,"_65":66,"_67":68,"_69":70},{"_17":181,"_61":186,"_63":187,"_65":186,"_67":68,"_69":70},[388,389,390,391,392,393,394,395],"Excellent software engineering skills with hands-on experience writing code, reading logs, and shipping fixes.","Comfort working across APIs, SDKs, webhooks, cloud infrastructure, and customer technology stacks.","Ability to build credibility with technical and non-technical customer stakeholders and communicate calmly under pressure.","Strong ownership, urgency, adaptability, and effectiveness in ambiguous environments.","Comfort using AI coding tools and experimenting with advanced AI capabilities.","Preferred experience with voice AI, speech-to-text, NLP, or conversational AI systems.","Preferred experience in an early-stage or founder-led startup environment.","Preferred experience embedded within a large enterprise customer product deployment.",[397,398,399,400,401,402],"Partner with customer engineering teams as a trusted technical peer and lead technical discovery and solutioning.","Own end-to-end technical integrations and deployments from scoping and architecture through go-live and optimization.","Configure and customize the voice AI platform for restaurant menus, ordering flows, POS integrations, and operational edge cases.","Monitor, troubleshoot, and resolve technical issues in live deployments, serving as an escalation point when needed.","Build deployment tools, playbooks, reference architectures, and reusable building blocks.","Translate deployment challenges and customer feedback into actionable product and engineering requirements.",[404,405],"The role is based in New York City or San Francisco.","Occasional travel is required for customer meetings, sales engagements, and key onsite interactions.",197000,246000,"https://deepgram.com","actionData","errors"]

Founding Forward Deployed Engineer

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