Description
Forward Deployed Engineer
Team: Customer Impact
Location: Palo Alto
Commitment: FTE
Workplace Type: hybrid
Salary:
The base salary offered to a successful candidate will depend on a wide range of compensation factors, including, but not limited to, work experience, education and/or training, critical skills, and/or business considerations. In addition, this role is eligible for equity, and competitive benefits.
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.
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