Original listing text, shown exactly as published by the company.
Key Responsibilities
- Embed within the Sales and Customer Success teams to uncover and prioritise friction points, translating real workflow pain into concrete technical solutions with measurable impact.
- Design, build, and deploy automated outbound capabilities that enable the sales team to engage prospects at scale, with higher quality and less manual effort.
- Drive AI adoption across the GTM team by building practical, production-ready AI powered tools and workflows that become embedded in day-to-day sales and customer success activity.
- Own the technical integrations between GTM tools — including Salesforce and Redshift — ensuring salespeople have clean, timely, and actionable data without needing to go looking for it.
- Build and maintain JavaScript-based automations and lightweight applications that solve specific GTM workflow problems quickly and reliably.
- Establish a continuous feedback loop with the sales and customer success teams, iterating on tools based on real usage rather than assumptions.
- Contribute to the Marketing Technology team’s broader GTM innovation agenda, bringing a builder’s mindset to identifying where technology and AI can change how the GTM org operates.
Required Skills & Experience
Technical Skills
- Proven ability to build and deploy automation and integration solutions across enterprise GTM tech stacks, with hands-on Salesforce (CRM) experience — including custom objects, flows, APIs, and data management.
- JavaScript development capability sufficient to build lightweight applications, custom integrations, and browser-based tooling that solves real GTM workflow problems.
- Experience querying Amazon Redshift or a comparable cloud data warehouse to extract, transform, and surface data that powers automation logic and sales insights.
- Ability to design and ship AI-powered workflows using modern large language model (LLM) APIs — particularly Anthropic’s Claude — including prompt design, tool use, and reliable production deployment.
- Enough understanding of sales and customer success processes to independently identify root causes of workflow friction and scope solutions without heavy business analyst support.
Behavioural Skills
- Walks into ambiguous situations and finds the real problem — listens carefully to what salespeople say is slowing them down, then digs to understand what’s actually causing it, and comes back with a clear proposal rather than more questions.
- Builds for the person using it, not for themselves — measures success by whether salespeople actually adopt and rely on what they’ve built, not by the technical elegance of the solution.
- Bias for action — ships working prototypes quickly, puts them in front of real users, and iterates based on feedback rather than over-engineering before launch.
- Comfortable working across technical and non-technical boundaries — can discuss API design with an engineer in the morning and explain the same solution to a sales rep in the afternoon.
- Curious and self-directed — actively explores new tools, models, and automation techniques, and brings ideas to the table without waiting to be pointed at the next problem.
AI Skills
- Uses AI tools — including Claude — as a core part of their own development workflow, not just as a writing aid.
- Can design, build, and ship production-quality AI-powered automations and features, with a working understanding of prompt engineering, context management, and failure modes in LLM-based systems.
- Proactively identifies where AI can replace or augment manual GTM workflows, and builds the business case for adoption based on real usage data.
