- Experience
- 5+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 4 weeks ago
- Work mode
- Work from home
- Eligibility
- Experienced professionals with a background in growth engineering, marketing technology, AI agent orchestration, or related SaaS revenue operations work can apply.
- Resume
- Required to apply
Job description
Role overview
This position is for a seasoned builder who can design and run an advanced AI-driven marketing system. The focus is not on basic workflow automation, but on creating autonomous agents that can interpret marketing data, take actions across channels, and improve their own output based on results. The role combines engineering thinking, strategic marketing judgment, and data analysis.
The role is remote and can be performed from anywhere in North America.
Core responsibilities
- Develop intelligent research and segmentation agents that scan public web signals such as hiring activity, funding updates, and news so ICP segments and CRM enrichment can stay current in real time.
- Create autonomous campaign management agents that watch live Search, Social, and Email programs and can shift budgets or stop weak creatives based on performance data.
- Build dynamic nurturing agents that use NLP to interpret prospect behavior and launch tailored multi-step nurture journeys without manual handling.
- Set up human review checkpoints, evaluation methods, and guardrails so the agent outputs remain on-brand and meet security expectations.
- Integrate AI agents with the existing martech stack, including HubSpot/Salesforce, 6sense, and Google Analytics, to maintain smooth data movement and automated CRM updates.
Experience required
The role calls for 6+ years of experience overall, with a senior-level background of at least 5 years in Growth Engineering. Experience supporting or scaling a mid-market SaaS revenue engine is strongly preferred.
Skills and technical capabilities
Applicants should be comfortable working with agent orchestration frameworks and low-code builder platforms, as well as prompt design, APIs, JSON, and RAG-based knowledge retrieval. A strong understanding of B2B buyer journeys, attribution, and demand generation is also important.
Required skillset
- Hands-on experience with agent orchestration tools or low-code AI builder platforms such as LangGraph, CrewAI, Claude CoWork, or CodeX.
- Practical knowledge of no-code and low-code automation tools like Clay, Zapier Central, and Make.com, or equivalent code-based orchestration frameworks.
- Strong prompt engineering ability, especially for building reasoning loops that reduce hallucinations and keep outputs professional and aligned with brand standards.
- Comfort with APIs, JSON, and Retrieval-Augmented Generation to supply agents with the right context from internal knowledge sources.
- Working knowledge of B2B marketing, including demand generation, attribution models, and buyer journey design.
Additional information
This is a full-time remote role. The posting indicates no stipend or salary details, no formal opening count, and no separate perks, eligibility list, or start date were provided.
Source note
The original posting references a consulting company as the employer and mentions a remote opportunity in the Greater Kolkata Area context, while also noting that the work can be done anywhere in North America.