--- title: 'Forward Deployed Engineer at Auxia' canonical: 'https://feeny.ai/job/forward-deployed-engineer-auxia-palo-alto-fqpeek0ctbne' type: 'job' last_seen: '2026-09-14' --- # Forward Deployed Engineer at Auxia - **Company:** Auxia - **Location:** Palo Alto, CA - **Compensation:** $185k–$215k - **Work type:** onsite - **Posted:** 2026-03-10 - **Last confirmed live:** 2026-09-14 - **Apply:** https://jobs.lever.co/auxia/81c17949-7045-4cea-967f-9d0177f24913 ## Job description ## About Auxia Auxia is building the future of AI-powered marketing. Our platform enables modern marketing teams to deploy intelligent agents that activate, engage, and retain customers, at scale. We’re backed by iconic investors and leaders from Google, Meta, and Amazon and trusted by global enterprises like The Guardian, Mercari, and Docomo. Auxia operates at the nexus of automation and intelligence, enabling brands to deliver highly personalized customer journeys powered by generative AI and agentic workflows while massively simplifying operations and reducing overhead. Learn more about our vision here and here. If you're excited by frontier technology, fast execution, and building something enduring from the ground up, Auxia offers an exceptional environment to do your best work. ## About the role As a Forward Deployed Engineer on Auxia’s Customer Impact team, you will lead complex, cross-functional technical programs, collaborating with engineering, product, and solutions teams to drive seamless platform integration for Auxia’s enterprise clients. Your work will extend beyond technical implementation to influence product enhancements and new feature development based on partner feedback and evolving technical requirements. This role requires a deep understanding of enterprise software and AI-driven solutions, as well as experience managing technical projects with a significant data integration component ## Responsibilities - Lead end-to-end customer implementations and expansions, including system design, platform integration, solution customization, and deployment, while managing cross-functional collaboration with engineering, data science, and solutions teams. - Translate client and business needs into clear technical requirements and development roadmaps, working closely with engineering to prioritize and implement features, ensuring alignment with partner objectives and scalability requirements. - Manage technical dependencies and risks across multiple projects, proactively identifying potential issues and driving resolution to ensure on-time and high-quality delivery. - Develop, maintain, and optimize data integration workflows, ensuring efficient, scalable data exchanges between Auxia's platform and partner systems, leveraging cloud data warehouses, APIs, and other data management solutions. - Drive continuous improvement by establishing, tracking, and reporting on program metrics, analyzing deviations to optimize workflows, and implementing technical and process enhancements. - Act as the primary technical point of contact for key partners, providing hands-on support during the onboarding process and troubleshooting complex technical issues, including reviewing system logs to triage issues. - Monitor and optimize integration health post-deployment to ensure long-term scalability and reliability. - Lead program reviews, communicate technical insights to non-technical stakeholders, and present program updates, risks, and impacts to leadership and partner teams. ## Qualifications - 5+ years of experience in solutions engineering, forward deployed engineering, technical account management or a related technical role, such as software development, focused on enterprise software, data integration, or machine learning-based platforms. - Proven ability to manage large-scale, cross-functional projects, driving alignment across engineering, product, and solutions teams to deliver technically complex solutions. - Expertise in data integration, APIs, and cloud data platforms (e.g., AWS, Google Cloud, Azure), with hands-on experience integrating large data systems in enterprise environments. - Proficiency in data analysis using SQL - Strong understanding of AI/ML platforms, particularly in customer engagement or growth contexts, with an ability to identify technical trade-offs and optimize data-driven solutions. - Familiarity with LLM/agent patterns (tool use, retrieval, guardrails, evaluation) - Ability to write or review prompt specs/runbooks - Ability to work in source code repositories to make configuration changes - Excellent communication and analytical skills, with experience presenting technical insights to both technical and non-technical audiences, including senior leadership. - Bachelor’s degree in Computer Science, Engineering, or a related technical field. ## About Auxia ## Company Overview - **One-liner**: Auxia is the AI-native agentic marketing platform that enables enterprises to orchestrate hyper-personalized customer journeys in real time. - **Entity Type**: Private (Series A) - **Headquarters**: Palo Alto, California, USA - **Founded**: 2022 - **Founders**: Cole Stuart (Co-Founder), Asim Krishna Prasad (Co-Founder) ## Core Business - **Primary industry**: Enterprise marketing technology / AI-powered personalization - **Target customers**: B2B – large enterprises (Fortune 500, Global 2000) and high-growth brands - **Mission / purpose**: Replace fragmented marketing execution with a single, learning system that compounds performance and makes every customer interaction more effective. ## Products & Services - **Auxia Agent Studio**: AI marketing agents that research, plan, build, QA, and ship campaigns, orchestrating work across existing tools (Braze, Salesforce Marketing Cloud, etc.). Users describe playbooks in natural language; agents handle execution and approvals. - **Auxia Decisioning**: Real-time 1:1 decision engine that ranks the next-best experience (content, offer, channel, timing) for each visitor, using ML feature stores, model libraries, and multi-model experimentation. - **Data & Context**: Enterprise data unified from CRM, CDP, and data warehouses into a living context graph that updates every run, powering personalization without sharing customer data externally. ## Market Standing - **Valuation / Market Cap**: Not disclosed - **Key Metric**: Total funding – $47M (latest round: $23.5M Series A led by VMG Partners, April 2025). Over 200 billion automated decisions served. - **Notable Investors / Partners**: VMG Partners, plus investors from prior rounds; customers include Atlassian, Comcast, The Guardian, NTT Docomo, Mercari. - **Growth Signals**: - 93.6% headcount growth year-over-year (77 employees as of mid-2025). - Offices in Palo Alto, Bengaluru, and Tokyo. - SOC 2 Type II certified, GDPR compliant, enterprise-grade security. - Strong talent pipeline from Google, Meta, Lyft, Flipkart, and other top tech firms. ## Competitive Advantages - **AI-native, continuously learning**: Unlike static campaigns, Auxia’s system compounds performance over every interaction, reducing the “reacquisition treadmill.” - **Real-time, 1:1 personalization at scale**: Decision engine ranks next-best actions for every customer in real time, using enterprise data without training on customer data. - **Agent-driven workflow**: AI agents automate months of data science and engineering work, allowing marketers to focus on strategy. - **Privacy by design**: Customer data is never used to train external models; compliant with SOC 2, GDPR. ## Strategic Focus - Replace legacy campaign-based marketing with an agentic, autonomous decision-making platform. - Expand enterprise adoption by deepening integrations (Braze, Salesforce, etc.) and adding new AI agents (e.g., AI Analyst Agent for revenue insights, announced July 2025). - Continue rapid hiring across engineering, data science, go-to-market, and operations. ## Why Work Here - **Culture & mission**: Fast-moving, customer-obsessed team that values “rapid execution and sharp decision-making.” Team includes alumni from Google, Meta, and Lyft. - **Work model**: Hybrid – offices in Palo Alto (HQ), Bengaluru, and Tokyo. Employees engage in a mix of remote and on-site work; specific on-site expectations vary by role. - **Growth & impact**: Join a company that more than doubled headcount in a year, working on a platform serving 200B+ decisions for major global brands. Opportunities to shape the product and culture from an early stage. - **Perks**: Not detailed publicly, but the company emphasizes learning, autonomy, and a supportive environment for builders. ## Sources 1. [auxia.io/about-us](https://www.auxia.io/about-us) 2. [auxia.io](https://www.auxia.io/) 3. [linkedin.com/company/auxia-io](https://linkedin.com/company/auxia-io) 4. [builtin.com/company/auxia](https://builtin.com/company/auxia) 5. [jobs.lever.co/auxia](https://jobs.lever.co/auxia) ## Other roles at Auxia - [Senior Data Scientist](https://feeny.ai/job/senior-data-scientist-auxia-tokyo-xnjmp1wcj42f) — Tokyo, Japan - [Growth & Strategy Lead, Office of the CEO](https://feeny.ai/job/growth-strategy-lead-office-of-the-ceo-auxia-palo-alto-bhjsb4e4xfsa) — Palo Alto, CA - [AI Product Manager](https://feeny.ai/job/ai-product-manager-auxia-palo-alto-5q76hbs0cah0) — Palo Alto, CA - [Staff Software Engineer](https://feeny.ai/job/staff-software-engineer-auxia-bengaluru-tpmrkbrt6q0k) — Bengaluru, India - [Data Scientist](https://feeny.ai/job/data-scientist-auxia-bengaluru-mz3bwh2cfzbr) — Bengaluru, India - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-wispr-flow-san-francisco-pgja820f57tt) — San Francisco, CA - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-mobiik-mexico-xz5ykt571t1g) — Mexico - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-gushwork-bengaluru-7h7y44jkbnnc) — Bengaluru, India - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-handoff-sao-paulo-xyrh0ahftpxa) — São Paulo, Brazil - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-ascertain-remote-rd1xdrv0j2nx)