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Sr. Manager, GTM Engineering

Jobgether

Remote US Engineering Posted today

Salary

$150,081.25–$180,852.50

Experience

7+ years

Jobgether is hiring a Sr. Manager, GTM Engineering, fully remote. This role is tied to United States; check the apply page for its specific location or time-zone requirements.

The role typically suits candidates with around 7+ years of experience in engineering.

Key skills

lean manufacturinguse online tools to collaborateGDPR

About this role at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Manager, GTM Engineering based in the United States.

This role offers an exciting opportunity to shape the future of AI-powered go-to-market operations by building intelligent systems, automated workflows, and AI agents that accelerate marketing and sales productivity. You will lead the technical architecture behind campaign orchestration, lead management, account-based marketing personalization, and business development automation. Combining hands-on engineering with strategic leadership, you will transform complex business requirements into scalable solutions that improve pipeline generation and operational efficiency. You will work across Marketing, Sales, Revenue Operations, and IT to integrate platforms, optimize workflows, and embed responsible AI practices into everyday operations. As a technical leader, you will influence senior stakeholders, guide automation priorities, and manage a direct report while remaining closely involved in implementation. This is an opportunity to build production-ready agentic systems in a collaborative, fast-moving B2B SaaS environment where experimentation, measurable impact, and continuous improvement are highly valued.

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…

Description provided by the employer’s job posting.

Apply directly through the employer

This listing links straight to Jobgether’s own application page.

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