Forward Deployed Engineer (Marketing)

About this role

OpenGov is the leader in AI and ERP solutions for local and state governments in the U.S. More than 2,000 cities, counties, state agencies, school districts, and special districts rely on the OpenGov Public Service Platform to operate efficiently, adapt to change, and strengthen the public trust. Category-leading products include enterprise asset management, procurement and contract management, accounting and budgeting, billing and revenue management, permitting and licensing, and transparency and open data. These solutions come together in the OpenGov ERP, allowing public sector organizations to focus on priorities and deliver maximum ROI with every dollar and decision in sync. Learn about OpenGov’s mission to power more effective and accountable government and the vision of high-performance government for every community at OpenGov.com http://OpenGov.com.

JOB SUMMARY

OpenGov is seeking a Forward Deployed Engineer to serve as a dedicated practitioner within the Applied AI team, focused on Marketing use cases — with an emphasis on Marketing Operations, Demand Generation, and Product Marketing activation. This role sits at the intersection of messy workflows, marketing execution, and applied AI, and exists to systematically redesign how OpenGov drives growth in an AI-native world.

This is a technical role applied in a traditionally non-technical space. You bring a sharp problem-solving mind, comfort with modern AI tools, and the instinct to decompose a complex, manual workflow into its components — and then design something fundamentally better. You need the ability to think from first principles, build trust with domain experts before designing for them, and own the full lifecycle from problem discovery to solution adoption.

You will work closely with the “marketing intelligence layer”: the market and competitive signals, campaign performance data, and product-specific positioning that Product Marketing and GTM Strategy maintain. Your job is to turn that intelligence into AI-native workflows and tools that marketers actually use, starting with a growth marketing cockpit where a marketer can launch an end-to-end campaign in one sitting, instead of stitching it together by hand across disparate systems.

This role operates within the Applied AI team's technical ecosystem. You will partner closely with a dedicated analytics/ops counterpart on the marketing side, partner with AI and data engineers on complex builds, and work directly with the Marketing org for domain guidance and go-to-market context. You will also serve as the primary AI capability advisor for marketing leadership.

Given the revenue-centric focus of pipeline, campaign, and prospecting work, this role requires a genuine interest in influencing core marketing KPI's (such as stage conversion rate, MQL creation, campaign messaging success, etc.). This means not owning their definition or reporting, but applying the necessary consideration and ROI frameworks to make sure what gets built is actually moving those numbers.

You will have access to data, ownership, and core responsibilities at a level comparable to senior marketing leadership, and are expected to exercise that with corresponding discretion.

CORE JOB RESPONSIBILITIES

- Own the AI-native activation/workflow layer for Marketing: Design, build, and continuously improve the tools and automations (chiefly the growth marketing cockpit) that let growth marketers move from insight to a launched campaign in one sitting.

- Map and redesign workflows with an AI-native lens: go deep with Marketing teams to understand current-state processes — campaign management, lead scoring and routing, MQL handoff — identify where AI creates leverage versus risk, and translate findings into prioritized action plans that account for effort, impact, and data sensitivity.

- Build and deploy AI-powered tools and automations: this includes self-serve campaign creation and scheduling, lead scoring/routing automation, content and enablement generation, and messaging support for SDR sequences triggered off marketing/GTM strategy-defined signals, while operating within OpenGov's AI governance framework.

- Close the campaign performance feedback loop: Partner with the team that owns marketing metrics and reporting (GTM Strategy) to shrink the multi-day, manual process of figuring out why a campaign under- or over-performed into a fast, AI-native loop the demand gen team can act on the same day.

- Act as the connective tissue across marketing and other functions: Surface shared infrastructure opportunities to prevent duplicated builds with existing Applied AI efforts. This role is meant to create economies of scale, not n+1 point solutions.

- Partner with AI platform, systems, and/or data engineers when required: clearly define requirements, translate business needs into actionable technical specs, and own outcomes on the business side — build first, then delegate backend complexity (data modeling, integrations, infrastructure) to platform engineering.

- Serve as the primary AI capability advisor for Marketing: help team leaders understand what is possible with AI today, evaluate build vs. buy tradeoffs, identify where AI should not be applied due to compliance or brand-risk constraints, and set realistic expectations on scope and timeline.

- Drive adoption and change management for tools you build: shipping is not the finish line. You own ensuring that tools and workflows are understood, used, and refined based on real feedback from the people who depend on them.

- Maintain a living roadmap of AI initiatives across Marketing: track ideas, in-flight projects, and delivered solutions; report on impact (e.g., pipeline contribution, lead conversion, campaign efficiency); and continuously reprioritize based on business need and resource availability.

- Communicate progress, priorities, and blockers clearly across stakeholders: written updates, structured che

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