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Forward Deployed Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: DevRev
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

At Dev Rev, we’re building the future of work with Computer – your AI teammate.

Computer is not just another tool. It’s built on the belief that the future of work should be about genuine human connection and collaboration – not piling on more apps. Computer is the best kind of teammate: it amplifies your strengths, takes repetition and frustration out of your day, and gives you more time and energy to do your best work.

How?

Complete data unification

Most AI products focus on either structured data (like CRM records and support tickets), or unstructured data (like documents and emails). Computer Air Sync connects everything, unifying all your data sources (like Google Workspace, Jira, Notion) into one AI‑ready source of truth:
Computer Memory.

Powerful search, reasoning, and action

Once connected to all your tools and apps, Computer is embedded in your full business context. It can find and summarize, sure. Even more impressive: it offers employees insights, strategic and proactive suggestions, plus powerful agentic actions.

Extensions for your teams and customers

Computer doesn’t make you choose between new software and old. Its AI‑native platform lets you extend existing tools with sophisticated apps and agents. So your teams – and your customers – can take action, seamlessly. These agents work alongside you: updating workflows, coordinating across teams, and syncing back to your systems.

This isn’t just software. Computer brings people back together, breaking down silos and ushering in the future of teamwork, through human‑AI collaboration. Stop managing software. Stop wasting time. Start solving bigger problems, building better products, and making your customers happier.

We call this Team Intelligence. It’s why Dev Rev exists.

Trusted by global companies across multiple industries, Dev Rev is backed by Khosla Ventures and Mayfield, with $150M+ raised. We are 650+ people, across eight global offices.

TheApplied

AIEngineeringteamensuresourcustomersgettheoptimalexperiencefrom Dev Rev .Ascustomersgothroughtheir Dev Revjourney ,theymayidentifyneed(s) forintegrationwithexistingenterprisesystems/services,workflow/processautomationorcustomization/enhancementofthe

DevRevplatformcapabilitiestoachievetheirbusinessobjectives.

Ourteamworkswithcustomerstounderstandrequirementsanddesign,develop,andimplementsolutionstomeetcustomergoals.

Your mission is to systematically help customers find value with Dev Rev by developing a thorough understanding of their needs, owning the coordination between internal and external stakeholders, and engineering the solution to get the job done.

What You’llDo
  • Customer-facing:30% working directly with customers
  • Build&Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect Dev Rev with customers' existing tech stacks and workflows.
  • Integrate Systems: Connect Dev Rev with SaaS and non‑SaaS platforms through APIs, webhooks, and real‑time communication architectures for seamless data flow.
  • Own Data Insights : Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision‑making.
  • Lead Cross‑functional

    Collaboration:
    Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
  • Guide Technical Adoption : Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.
  • Travel Ready: Willingness to travel up to 30% for on‑site implementations, technical workshops, and customer engagements.
What You Bring
  • Experience:5+ years in software development, systems integration, or platform engineering. Customer‑facing experience is a plus.
  • Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evaluations to validate agentic AI solutions.
  • Integration: Deep experience with large‑scale data synchronization (one‑way and two‑way), API integration patterns (REST, Graph

    QL, webhooks), and event‑driven/pub/sub architectures.
  • Cloud & Deployment: Hands‑on experience deploying on serverless…
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