# Sr. Manager, GTM Engineering at Jobgether

- **Company:** Jobgether
- **Location:** US · Remote
- **Employment type:** Full-time
- **Salary:** $150–181k
- **Category:** GTM Engineering
- **Seniority:** lead
- **Working pattern:** remote
- **Posted:** 2026-10-27
- **Stack:** Salesforce
- **Page:** https://agentops.careers/jobs/sr-manager-gtm-engineering-jobgether/
- **Apply:** https://jobs.lever.co/jobgether/01def9d2-158a-4385-886b-a342296cdbe2

## In short (AI summary of the posting)

Own the design and running of AI-powered workflows and integrated GTM systems across marketing and business development, from campaign-creation agents built on Claude or similar LLMs to lead routing and BDR prospecting automation. The role includes API-driven systems architecture, AI governance and security standards, and managing one direct report. Requires extensive marketing operations, revenue systems engineering or marketing automation experience plus hands-on AI implementation skills.

## Description

Accountabilities:
The Sr. Manager, GTM Engineering will own the design, implementation, and optimization of AI-powered workflows and integrated go-to-market systems across marketing and business development. The role combines technical execution, cross-functional collaboration, governance, and people leadership to deliver measurable improvements in productivity and pipeline performance.
Design and deploy AI agents and workflows: Build end-to-end campaign creation workflows, from initial briefs to first-draft content and campaign assets, using Claude or comparable enterprise large language models (LLMs). Orchestrate agents through MCP connectors and other integration frameworks while maintaining appropriate human review.
Automate marketing operations: Develop workflows that help marketing teams produce campaign assets using centralized information about product positioning, target personas, use cases, and channel best practices.
Build reusable automation frameworks: Create templates, playbooks, and standardized workflow patterns that allow marketing teams to adopt automation independently without requiring continuous engineering support.
Architect and integrate GTM systems: Develop a scalable, API-driven go-to-market architecture that connects marketing platforms, account-based marketing intelligence, external tools, and internal systems.
Optimize lead management and routing: Improve lead capture, qualification, scoring, routing accuracy, and handoffs to business development representatives (BDRs), ensuring faster response times and stronger pipeline conversion.
Develop BDR prospecting automation: Build workflows for signal-based account prioritization, prospect research, outreach drafting, and task automation to increase the volume and quality of pipeline generated per BDR.
Own BDR technology systems: Oversee the business development technology stack, including sales engagement platforms and dialers, in partnership with BDR leadership and the BDR Operations Specialist.
Identify and resolve productivity bottlenecks: Work with BDR leaders to uncover operational inefficiencies, prioritize solutions, deploy improvements, and measure their impact.
Establish security and AI governance: Embed privacy, security, compliance, data-handling standards, agent permissions, and access controls into workflows in collaboration with Business Technology and Security teams.
Manage technical experimentation: Test automation logic, evaluate system performance, identify scalability risks before deployment, and continuously refine workflows based on usage data and pipeline outcomes.
Lead and develop team members: Manage, coach, and prioritize work for one direct report, supporting their growth and increasing ownership of BDR tools and processes.
Coordinate cross-functional priorities: Manage incoming automation requests, balance competing stakeholder needs, and align Marketing Operations, Growth Marketing, Customer Marketing, Event Marketing, BDR Leadership, Revenue Operations, and IT around delivery priorities.
Influence senior stakeholders: Translate business strategy into actionable technical roadmaps, communicate trade-offs clearly, and guide decisions on scalability, data quality, privacy, adoption, and business impact.
Drive measurable business outcomes: Improve lead response times, routing accuracy, campaign production efficiency, BDR productivity, and the reliability and adoption of AI-enabled workflows.
Maintain quality and accountability: Ensure AI-generated content and automated actions are appropriately reviewed before reaching customers or prospects, with a target of zero production incidents involving unreviewed external-facing outputs.
Requirements:
Candidates should bring extensive experience in marketing operations, revenue systems engineering, or marketing automation, combined with practical AI implementation skills, strong systems thinking, and the ability to lead technical initiatives across multiple business functions.
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