Seeq Logo

Seeq

AI GTM Engineer

Posted 13 Hours Ago
Remote
Hiring Remotely in United States
126K-126K Annually
Mid level
Remote
Hiring Remotely in United States
126K-126K Annually
Mid level
Design, build, and scale AI-enabled GTM workflows that improve marketing speed, consistency, and quality. Integrate AI systems with CRM, content, and automation tools, enforce governance and QA, support campaign execution, and drive adoption and continual improvement across cross-functional GTM teams.
The summary above was generated by AI

The AI GTM Engineer is responsible for designing, building, and scaling AI-enabled workflows that improve the speed, quality, and repeatability of Seeq’s go-to-market execution. This role sits at the intersection of marketing, operations, systems, and applied AI, helping the GTM organization move from ad hoc use of AI tools to durable, governed, high-value workflows.

This leader partners closely with Product Marketing, Industries, Whole Offer Management, Regional Marketing, Partner Marketing, ABX / Campaign Execution, Campaign Program Management, Field Enablement, Marketing Analytics and Infrastructure, Revenue teams, and Product to build practical AI systems that support research, content assembly, campaign execution, launch readiness, knowledge management, and performance visibility.


Requirements

1. AI Workflow Design and Deployment

  • Design and implement AI-enabled workflows that improve GTM productivity, consistency, and speed across priority marketing motions.
  • Build practical systems for use cases such as market research synthesis, content generation, message adaptation, launch planning, campaign development, management, and QA, asset reuse, channel optimization, knowledge retrieval, and reporting support.
  • Translate business needs into repeatable workflow designs that combine prompts, structured content, automation logic, tooling, and quality controls.
  • Prioritize high-leverage workflows that can be reused across multiple teams before building one-off solutions.
  • Continuously improve workflow performance based on adoption, output quality, and business impact.

2. GTM Systems and Tool Integration

  • Partner with the AI GTM Manager and Marketing Analytics and Infrastructure team to connect AI workflows with the underlying GTM systems, tools, and content environments. Evaluate build vs buy options to identify tools and vendors that add high value relative to building internally.  
  • Help operationalize integrations across content systems, collaboration tools, CRM, marketing automation, and knowledge platforms where needed.
  • Ensure workflows are designed to work within the realities of Seeq’s data, tooling, governance, and content architecture.
  • Support the creation of scalable systems for storing, retrieving, and reusing approved GTM knowledge and content components.
  • Contribute to the development of a more AI-ready GTM operating environment over time.
  • Contribute to marketing team and budget efficiency through automating workflows and tasks, where appropriate.

3. Content and Knowledge Operations

  • Build AI-assisted workflows that help teams create, adapt, summarize, and govern GTM content more effectively.
  • Improve how messaging, proof points, launch assets, campaign components, and sales materials are structured for reuse across teams and channels.
  • Support the development of knowledge systems that make approved content easier to find, easier to maintain, and more usable by AI tools.
  • Help reduce manual work in areas such as asset hygiene, content updates, versioning support, and narrative assembly.
  • Partner with Product Marketing and Enablement to improve the consistency and accessibility of message-critical assets.

4. Workflow Governance, QA, and Adoption

  • Build safeguards into AI workflows so outputs are reliable, on-brand, and aligned to approved messaging and business rules.
  • Establish practical QA approaches for prompt design, workflow outputs, and content validation.
  • Document workflow logic, intended use cases, limitations, and governance expectations so systems can scale responsibly.
  • Help teams adopt new workflows by making them useful, usable, and integrated into real work rather than separate experiments.
  • Monitor workflow usage and identify where training, refinement, or tighter standards are needed.

5. Campaign Management and Execution

  • Partner with teams across the GTM organization to identify launch and campaign workflow bottlenecks, repetitive manual work, and opportunities for AI-enabled leverage.
  • Support launch, campaign, and whole-offer teams with systems that improve planning quality, execution speed, and readiness.
  • Help Campaign Program Management and GTM leaders improve coordination through workflow visibility, automation, and better operating discipline.
  • Help Campaign Program Management and GTM leaders optimize marketing channels and marketing spend through integration, automations, and AI-enabled end-to-end management of campaigns to accelerate speed to market and scale up of GTM motions.
  • Work closely with analytics and operations partners to ensure workflows support measurement, prioritization, and business reporting.
  • Act as a builder and translator between technical possibilities and GTM execution realities.

6. Experimentation and Continuous Improvement

  • Stay current on practical AI capabilities, tools, patterns, and engineering approaches relevant to GTM use cases.
  • Evaluate new tools and methods based on business value, usability, reliability, and scale potential.
  • Run focused experiments to test workflow improvements, then convert successful experiments into operational systems.
  • Balance speed and experimentation with governance, sustainability, and change management.
  • Contribute to Seeq’s broader AI-first operating model by helping define best practices, standards, and reusable patterns.

Qualifications

Required

  • 4+ years of experience in marketing operations, revenue operations, GTM systems, automation, applied AI, solutions engineering, or a related role in a B2B SaaS or similarly complex environment.
  • Hands-on experience building workflows, automations, or AI-enabled solutions that improve business processes.
  • Strong ability to translate ambiguous business problems into practical systems and workflow designs.
  • Experience working with structured content, prompt workflows, automation logic, and cross-functional tooling environments.
  • Strong problem-solving skills and comfort working across both technical and non-technical stakeholders.
  • Strong written and verbal communication skills, including the ability to explain systems, tradeoffs, and workflow designs clearly.
  • Strong execution discipline, including documentation, testing, iteration, and prioritization.

Preferred

  • Experience supporting GTM, marketing, sales, or customer-facing functions with automation and workflow design.
  • Familiarity with CRM, marketing automation, content management, knowledge systems, and collaboration platforms used in GTM organizations.[MB1] [JD2] 
  • Experience with prompt engineering, retrieval-based workflows, agent frameworks, API-based automation, or no-code / low-code orchestration tools.
  • Familiarity with product marketing, launches, campaign execution, enablement, or ABX operating models.
  • Experience in industrial software, enterprise SaaS, analytics, or AI-adjacent domains.

Success Profile

The strongest candidates for this role will bring:

  • Strong systems thinking
  • Practical builder mentality
  • High standards for reliability and usability
  • Ability to connect technical possibilities to GTM outcomes
  • Strong cross-functional collaboration
  • Bias for simplification, reuse, and measurable impact

What Success Looks Like in the Role

Within the first 12 months, this leader should be able to:

  • Build and deploy several high-value AI workflows used regularly across the GTM organization
  • Improve the speed and consistency of research, content assembly, launch support, campaign QA, or reporting workflows
  • Reduce manual work in key GTM processes through automation and reusable systems
  • Improve workflow quality, governance, and adoption across multiple teams
  • Help Seeq move from isolated AI experiments to a more durable AI-first GTM operating model
  • Establish credibility as a practical builder who helps teams get better work done faster and with more consistency

 [MB1]note - our marketing and sales tech stack is complex. It includes approx. 45 SaaS applications, including internal tools such as CHI, QAI, sales dashboard.

 [JD2]Is there an tool optimization goal to add to the AI GTM Manager? Currently I was thinking productivity was the main measure, but adding this could be an additional value pool.


Benefits

Seeq is a remote-first (only) company founded by serial entrepreneurs. Our executive team and board of directors have extensive experience with successful startup ventures in high-growth environments.

We are founded on the idea that companies need better solutions for quickly and easily getting business insight from their industrial process data. Our mission is to provide software and services that convert that data into meaningful information that the business can use to improve profitability.

We have a wonderful, kind-hearted, talented team that loves to collaborate, lead by example, and exceed our customers’ expectations. We are certified as a great place to work, an emerging startup, the Technology Fast 500, and Inc. Magazine's Best Places to Work.

The Perks of Working at Seeq

  • Competitive salary
    • $126,000
  • Benefits:
    • 12-week paid Seeq family leave
    • Unlimited PTO
    • Internet and mobile phone reimbursements
    • Medical benefits
    • Group term life insurance
    • Short-term and long-term disability insurance pre-tax benefits
    • Voluntary vision and dental (ortho)
    • Vacation bonus program
    • Employee Assistance Program
    • Generous home office allowance
    • The best co-workers (we've analyzed the data, so we know it's true.)
    • Pet-friendly workspace (your dog will be so happy to have you home)
    • You love your job!

Seeq provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics.

You must be authorized to work in the country in which you reside. Seeq does not sponsor US F1 or H-1B work visas

Similar Jobs

3 Days Ago
Remote or Hybrid
CA, USA
125K-180K Annually
Senior level
125K-180K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead hands-on engineering delivery of agentic AI solutions for GTM systems. Design and build LLM-powered workflows, autonomous agents, RAG and semantic search pipelines, Salesforce and Slack integrations, CI/CD and observability, enforce AI governance/security, mentor engineers, and drive prototypes to production across enterprise GTM platforms.
Top Skills: AgentcoreAgentforceApexAutogenAws BedrockCi/CdCopadoCrewaiGithub ActionsJavaScriptJenkinsLangchainLanggraphLightning Web ComponentsLlamaindexLwcMcpPythonRag (Retrieval Augmented Generation)RestSalesforce Platform EventsSemantic KernelSemantic SearchSlackSlack Workflow BuilderSoapTypescriptVector DatabasesVertex AiWorkflow Orchestration
5 Days Ago
Remote or Hybrid
United States
Mid level
Mid level
Agency • Professional Services
Design, build, and maintain production-grade AI-powered go-to-market automations (prospecting, lead scoring, campaign orchestration, attribution). Integrate ML/LLM tools into marketing and sales workflows, track business-critical metrics, ensure reliability and scalability, and collaborate with GTM strategists and non-technical stakeholders to drive measurable pipeline and revenue outcomes.
Yesterday
Remote
United States
115K-184K Annually
Senior level
115K-184K Annually
Senior level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
The Senior GTM Engineer in AI Innovation will strategize and implement AI initiatives across Marketing, Sales, and Customer Success while also leading cross-functional efforts and managing a growing team.
Top Skills: Anthropic/ClaudeClayCrewaiGeminiJavaScriptLangchainMarketoMcpOpenaiPythonRagSalesforceSnowflakeSQLZapier

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account