Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 6
Audit @ 4
CI/CD
Compliance @ 4
Reporting @ 6
Salesforce @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
GTM Systems builds and operates the platform used by Sales and contracting to process real transactions and generate critical company data. The role will establish a mature software engineering practice for the team, including pull requests, CI/CD, automated user acceptance testing, and production deployment workflows. It also involves standardizing AI-assisted development and building agentic tooling on top of enterprise systems.
Responsibilities
- Lead architecture reviews for GTM systems that process lead-to-cash transactions and generate business-critical data.
- Architect and mature the team’s engineering pipeline, including pull request workflows, CI/CD, automated UAT, and deployment from source control to production.
- Establish shared standards for AI-assisted development and agentic workflows.
- Collaborate with engineering teams outside GTM on shared architecture and tooling decisions.
- Build and shape agentic tooling on top of the platform and establish patterns for future implementations.
- Trace dependencies between upstream data and downstream quoting and provisioning systems to assess the impact of design decisions.
- Partner with platform developers to expand the team’s ability to ship safely.
Requirements
- Strong software engineering fundamentals, including version control, testing, code review, deployment automation, and simple system design.
- Experience building a team delivery pipeline and explaining the sequencing decisions behind it.
- Experience leading a team through a significant improvement in engineering practices as its scope expanded.
- Fluency with AI coding tools and agentic development workflows, including approaches for standardizing their use across a team.
- Ability to lead technical discussions across teams without direct reporting authority and drive decisions.
- Ability to reason about systems outside your ownership and predict the effects of changes.
- Preference for influencing through demonstrated work rather than positional authority.
- A bachelor’s degree or equivalent combination of education, training, and experience in a relevant field.
Preferred Qualifications
- Experience with business-critical enterprise platforms where financial correctness and auditability are important.
- Experience with Salesforce or comparable enterprise platforms, including metadata and deployment models.
- Experience building tooling or agents on top of an enterprise system of record.
- Experience working in a company subject to audit or compliance constraints.
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office environment for collaboration.
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