GTM Engineer
Location: San Francisco · Category: Marketing & Growth · Seniority: Mid-Level · Posted: September 10, 2026 · Verified: Oct 6, 2026
Role Overview & Description
Track team expansion and market signals for Cargo
Polaris7 monitors open roles, strategic market movements, and M&A developments in real time. Get automated intelligence briefings on Cargo and benchmark against direct competitors.
Cargo
getcargo.aiProgrammable GTM infrastructure for revenue operations teams.
Unlock full company profile, competitors & live market signals for Cargo
Similar Positions in DACH
Related roles across advertising, media, and data
This role builds AI-powered products and full-stack experiences for GTM Growth Engineering, owning product slices from frontend implementation to backend APIs and data models. The engineer will design user journeys for sales and B2B marketing teams, build review surfaces for AI-assisted workflows, and use telemetry to measure impact. Requires 4+ years of software engineering experience building user-facing products.
This role focuses on building and maintaining AI-driven systems for go-to-market operations, involving automation and integration of AI agents into sales and marketing workflows. The engineer will work on agentic AI solutions to enhance GTM efficiency and data-driven decision-making, requiring expertise in AI/ML engineering and systems integration.
This role builds production systems for AI-powered go-to-market workflows, owning the agent improvement loop from behavior instrumentation to evaluation and experimentation. The engineer will investigate agent failures, design targeted improvements to prompting and decision logic, and build backend services and feedback pipelines. Requires 4+ years of software engineering experience building reliable production systems.
Build the GTM foundation from scratch and take a hands-on approach to establishing marketing and growth mechanisms.
More Positions at Cargo
3 more open roles
This role owns adoption, value realization, relationship health, renewal readiness, and expansion after go-live for enterprise AI customers. Responsibilities include building success plans around measurable operational outcomes, driving adoption, leading evidence-based business reviews, and identifying renewal risks early. Requires enterprise customer success or technical account management experience, technical fluency with APIs and integrations, and clear executive communication.
This role owns the path from POC scope through hands-on delivery, evaluation, production launch, and early expansion for strategic customers. Responsibilities include embedding with customer operations teams, translating ambiguous needs into architecture and milestones, building integrations across helpdesks/CRMs/ERPs, and configuring AI workflows with retrieval, tools, and guardrails. Requires production software-engineering ability in Python or TypeScript, customer-facing technical delivery experience, and practical knowledge of LLM systems.
This role owns the go-to-market narrative and positioning for Sainapse, an AI product, including building buyer personas, core messaging, and sales enablement assets like case studies and battlecards. Requires strong B2B product marketing experience for technical enterprise products, excellent writing skills, and the ability to understand APIs, workflows, and AI limitations.